Conference Schedule

Day Room Time Paper Number Title Authors Track
Specialist LLMs
Monday July 29th Grand Station 3 9:45 a.m. 275 Incorporating Domain Knowledge Repository into Large Language Models for Question-Answering of Construction Laws and Regulations in China Shenghua Zhou (Southeast University); hongyu wang (Southeast University); Xiaohan Cheng (Southeast University); dezhi li (Southeast University)*; zhengyi chen (The Hong Kong University of Science and Technology); Ran Wei (University of Cambridge); S. Thomas Ng (City University of Hong Kong) AI
Monday July 29th Grand Station 3 10:00 a.m. 409 Generative Pre-trained Transformers (GPT)-based Automated Building Regulatory Information Transformation. Fan Yang (Purdue University)*; Jiansong Zhang (Purdue University); Long Duong (Kaiser Permanente) AI
Monday July 29th Grand Station 3 10:15 a.m. 178 Cause Discovery from Defects Complaint Texts Using Retrieval Augmented Generation by Chaining a Large Language Model with a Knowledge Graph Kahyun Jeon (Yonsei University)*; Ghang Lee (Yonsei University); Yonghan Kim (Yonsei University); Jiyoung Lim (Yonsei University) AI
Monday July 29th Grand Station 3 10:30 a.m. 265 GPT4-Vision Multimodal Model-Powered Query-Answering Chatbot for Bridge PDF Drawings Meta Soy (Purdue University)*; Jiansong Zhang (Purdue University) AI
AI in Building Energy Management
Monday July 29th Grand Station 3 11:00 a.m. 583 Automated Thermal Anomaly Detection through Deep Learning-based Semantic Segmentation of Building Envelope Images Shayan Mirzabeigi (College of Environmental Science and Forestry, State University of New York)*; Mohamad Razkenari (College of Environmental Science and Forestry, State University of New York ); Paul Crovella (College of Environmental Science and Forestry, State University of New York) AI
Monday July 29th Grand Station 3 11:15 a.m. 445 Are Transformers Effective for Time Series Anomaly Detection? — A Case Study in Building Energy Management Yueyan Gu (Virginia Tech); Xuan Wang (Virginia Tech); Farrokh Jazizadeh (Virginia Tech)* AI
Monday July 29th Grand Station 3 11:30 a.m. 447 CityTFT: A Temporal Fusion Transformer based Twin Model for Urban Building Energy Modeling Ting-Yu Dai (The University of Texas at Austin)*; Dev Niyogi (The University of Texas at Austin); Zoltan Nagy (The University of Texas at Austin) AI
Monday July 29th Grand Station 3 11:45 a.m. 478 A Markov decision process-based method to generate strategies for automated updating of building energy models Zhichen Wang (Carnegie Mellon University)*; Mario Bergés (CMU); Burcu Akinci (Carnegie Mellon University) AI
Data-driven Infrastructure Operations
Monday July 29th Grand Station 3 2:00 p.m. 273 Identification and Geolocation of Pavement Marking Issues Based on Artificial Intelligence and Mobile Phone Biao Kuang (University of Utah); Jianli Chen (University of utah)*; Yuqing Hu (Penn State University) AI
Monday July 29th Grand Station 3 2:15 p.m. 169 Spatial-temporal Estimation of Settlement in Foundation Work Based on Deep Learning Chen Yang (Tsinghua University)*; Chen Wang (Tsinghua University); Jian-sheng Fan (Tsinghua University) AI
Monday July 29th Grand Station 3 2:30 p.m. 198 Deep Learning-based Surface Defect Detection: Three-class Segmentation Donghoon Ji (Oregon State University); Yelda Turkan (Oregon State University)*; Paolo Calvi (University of Washington) AI
Monday July 29th Grand Station 3 2:45 p.m. 558 Scenarios Adaptive Building Defect Inspection by Active and Incremental Learning Yining Wen (University of Alabama); Kaiwen Chen (University of Alabama)*; Jingwei Bao (Univ. of Illinois Urbana-Champaign) AI
Monday July 29th Grand Station 3 3:00 p.m. 150 Few-Shot Learning for Key Information Extraction from Bridge Inspection Reports Wen Xiong (Department of Bridge Engineering, School of Transportation, Southeast University); Yuchen Wang (southeast university); Yanjie Zhu (Southeast University)*; C.S. Cai (Southeast University; Louisiana State University) AI
Monday July 29th Grand Station 3 3:15 p.m. 186 Analysis of Roadside Features on Rural Road-Departure Crashes and its Severity: A Computer Vision Approach Abhishek K Subedi (University of Utah)*; Abbas Rashidi (University of Utah); Nikola Markovic (University of Utah) AI
Application of Language Models
Monday July 29th Grand Station 3 3:45 p.m. 395 Leveraging Large Language Models to Assist Bridge Element Visual Inspections Chenxi Yuan (SOUTHERN ILLINOIS UNIVERSITY Edwardsville)*; Onur Kaan Topçu (ProLeiT Corp.); Felix H. Lee (Southern illinois university edwardsville) AI
Monday July 29th Grand Station 3 4:00 p.m. 349 Large Language Model-based data-driven framework for digital transformation in construction industry Ruiyang Ma (The Hong Kong Polytechnic University)*; Geoffrey Qiping Shen (The Hong Kong Polytechnic University); Peiliang Lou (Xi’an Jiaotong University); Ming Wang ( The Hong Kong Polytechnic University) AI
Monday July 29th Grand Station 3 4:15 p.m. 239 Prompt-based Virtual Assistant Framework for Construction Working Method Specifications Chuanni He (Syracuse University); Min Liu (Syracuse University)*; Weilin He (Syracuse University) AI
Monday July 29th Grand Station 3 4:30 p.m. 132 Standard-Driven Chinese Knowledge Extraction in Highway Domain using Machine Learning and NLP Approach Ching Wah Loh (Tsinghua Shenzhen International Graduate School, Tsinghua University); Xiao-Bing Zhang (Tsinghua Shenzhen International Graduate School, Tsinghua University); Jia-Rui Lin (Department of Civil Engineering, Tsinghua University, Beijing, 100084); Zhen-Zhong Hu (Tsinghua Shenzhen International Graduate School)* AI
Monday July 29th Grand Station 3 4:45 p.m. 600 aice.AEC-Bench: A Multidisciplinary Multilevel Chinese Evaluation Benchmark for Large Language Models in AEC Chen Liang (Tongji University)*; Shen Yan (Tongji University); Qianyu Guo (Fudan University); Jiawei Sun (Tongji University); Fei Cheng (Tongji University); Zhengjie Liu (Tongji University); Weifang Xiao (Tongji University); Meng Wang (Tongji University); Haofen Wang (Tongji University); Xianzhong Zhao (Tongji University) AI
ML in Construction Management
Tuesday Julty 30th Grand Station 3 9:45 a.m. 79 Using Data Mining Algorithms to Identify Critical Patterns Among Various Performance Indicators of Bundled Projects Delivered under The Construction Manager/General Contractor (CM/GC) Project Delivery Method Ghiwa Assaf (New Jersey Institute of Technology); Rayan Assaad (New Jersey Institute of Technology)* AI
Tuesday Julty 30th Grand Station 3 10:00 a.m. 592 Predicting Project Contingency in the Construction Industry Using Machine Learning Algorithms Ghadi Charbel (New Jersey Institute of Technology); Rayan Assaad (New Jersey Institute of Technology)*; John Lyssikatos (New Jersey Institute of Technology); Fadi Karaa (New Jersey Institute of Technology) AI
Tuesday Julty 30th Grand Station 3 10:15 a.m. 203 Dynamic work package sizing and scheduling under uncertainties using hierarchical reinforcement learning nianmin zhang (The university of Hong Kong)*; Xiao LI (The University of Hong Kong) AI
Tuesday Julty 30th Grand Station 3 10:30 a.m. 33 Integrating Sensor-Empowered Federated Learning and Smart Contracts for Automatic Flood Risk Management Gongfan Chen (North Carolina State University)*; Abdullah Alsharef (King Saud University); Edward Jaselskis (North Carolina State University) AI
Environmental Quality Predictive Modeling
Tuesday Julty 30th Grand Station 3 11:00 a.m. 114 Deep Learning and Meteorological Data for Indoor Environmental Quality Prediction Min Jae Lee (Virginia Tech)*; Ruichuan Zhang (Virginia Tech) AI
Tuesday Julty 30th Grand Station 3 11:15 a.m. 492 Toward Generalized CO2 Prediction in Educational Buildings Mostafa Meimand (Virginia Tech); Farrokh Jazizadeh (Virginia Tech)* AI
Tuesday Julty 30th Grand Station 3 11:30 a.m. 57 Predictive Learning for Air Pollution at Construction Sites Using Multimodal Data Ruichuan Zhang (Virginia Tech)*; Bin Chen (Virginia Tech); Jenna Krall (George Mason University) AI
Tuesday Julty 30th Grand Station 3 11:45 a.m. 599 Monitoring Traffic-Related Air Pollution (TRAP) through calibrated low-cost sensors Ying-Ru Liu (National Taiwan University)*; Ta-Chih Hsiao (Taiwan Association for Aerosol Research); Po-Kai Chang (National Taiwan University); Albert Chen (National Taiwan University) AI
Computer Vision-based Operations
Tuesday Julty 30th Grand Station 3 2:00 p.m. 504 Integrating Image Enhancement, Classification, and Segmentation for Supporting Automated Underwater Infrastructure Inspection and Maintenance Saeed Talamkhani (Stevens Institute of Technology); Kaijian Liu (Stevens Institute of Technology)* AI
Tuesday Julty 30th Grand Station 3 2:15 p.m. 218 Integrating deep learning and real-time GNSS localization for GIS-based traffic sign management Yifeng Sun (University of Macau); Haomiao Zhao (University of Macau); Chi Chiu Lam (University of Macau); Mun On Wong (University of Macau)*; Haoyang Liang (Tongji University); Kun Pang Kou (University of Macau) AI
Tuesday Julty 30th Grand Station 3 2:30 p.m. 213 Vision-based Module Positioning and Alignment Approach in Modular Integrated Construction Ruiqi Jiang (The University of Hong Kong); Xiao LI (The University of Hong Kong)* AI
Tuesday Julty 30th Grand Station 3 2:45 p.m. 195 Establishing a computer vision-based object detection database for modular construction quality monitoring xiao yanggongjie (the hongkong polytechnic university)*; Hung-Lin Chi (The Hong Kong Polytechnic University) AI
Tuesday Julty 30th Grand Station 3 3:00 p.m. 441 Text-enhanced Label-efficient Automated Bridge Defects Semantic Segmentation from Inspection Images Shengyi Wang (University of Illinois at Urbana Champaign)*; Nora El-Gohary (University of Illinois at Urbana Champaign) AI
Tuesday Julty 30th Grand Station 3 3:15 p.m. 501 Automated Image Segmentation for Detecting Defects in Brick-Wall Surfaces Yuxiang Huang (University of Illinois at Urbana-Champaign)*; Nora El-Gohary ( University of Illinois at Urbana-Champaign) AI
Application of Generative Models
Tuesday Julty 30th Grand Station 3 3:45 p.m. 314 A Review of Synthetic Data Generation Methods for Machine Learning Models in Construction SeyedeZahra Golazad (University of Utah)*; Abbas Mohammadi (University of Utah); Abbas Rashidi (University of Utah) AI
Tuesday Julty 30th Grand Station 3 4:00 p.m. 412 Evaluating Generative Adversarial Network (GAN) Models for Generating Images of Defective Façades Beyza Kiper (New York University)*; Nilay Dey (New York University); Aditya Azad (New York University); Semiha Ergan (New York University) AI
Tuesday Julty 30th Grand Station 3 4:15 p.m. 510 Generative Model-based Data Augmentation Approach for Supporting Maintenance Decision-Making Qiyang Chen (University of Illinois Urbana-Champaign)*; Nora El-Gohary (University of Illinois at Urbana-Champaign) AI
Tuesday Julty 30th Grand Station 3 4:30 p.m. 69 Constrained Diffusion Model for Interoperable Floor Plan Generation Haolan Zhang ( Virginia Polytechnic Institute and State University)*; Ruichuan Zhang (Virginia Tech) AI
Tuesday Julty 30th Grand Station 3 4:45 p.m. 380 An Approach for Domain-Informed Generative Architectural Design Keundeok Park (New York University)*; Semiha Ergan (New York University) AI
Intelliegnt Transportation
Wednesday July 31st Grand Station 3 9:45 a.m. 73 An Empirical Analysis of Secure Federated Learning for Autonomous Vehicle Applications Md Jueal Mia (Florida International University)*; M. Hadi Amini (Florida International University) AI
Wednesday July 31st Grand Station 3 10:00 a.m. 318 Optimizing Urban Charging Infrastructure for Electric Vehicles: A Data-Driven Approach to Boost Adoption and Reduce Costs Hongyu Hu (Michigan state university)*; Dong Zhao (Michigan state university) AI
Wednesday July 31st Grand Station 3 10:15 a.m. 112 Fine-Grained FHWA-13 Vehicle Classification: A Two-Stage Vision-Based Approach Integrating Semantic and Geometric Features with Verification Scheme Linjun Lu (University of Cambridge); Fei Dai (West Virginia University)* AI
Wednesday July 31st Grand Station 3 10:30 a.m. 509 Performance Evaluation of Real-Time Object Detection for Electric Scooters Dong Chen (University of Virginia)*; Seyed Arman Hosseini Aliabad (University of Virginia); Arik Smith (University of Virginia); Amir Farzin Nikkhah (University of Virginia); Arsalan Heydarian (University of Virginia); Omid Shoghli (University of North Carolina at Charlotte); Brad Campbell (University of Virginia) AI
Visual Scene Inference
Wednesday July 31st Grand Station 3 11:00 a.m. 197 Open Vocabulary Multimodal Model (OVMM)-based Zero-Shot Method for Obtaining Broader Semantic Information from Construction Site Images Haotian LI (the University of Hong Kong)*; Llewellyn Tang (the University of Hong Kong) AI
Wednesday July 31st Grand Station 3 11:15 a.m. 179 Prediction of Visual Quality of Streetscape Images Using Computer Vision meesung lee (ewha womans university)*; sungjoo hwang (ewha womans university) AI
Wednesday July 31st Grand Station 4 11:30 a.m. 123 An Active Learning Pipeline Powered by Image Synthetization and Retrieval Techniques: A Novel Training Approach for Construction-Centric DNNs Ali Tohidifar (University of Tornto)*; Daeho Kim (University of Toronto) AI
Digital Twin Concepts
Monday July 29th Grand Station 4 9:45 a.m. 559 Towards Digital Twins: Technology and Challenges in Bridge Information Modeling (BIM) Afshin Hatami (Mississippi State University )*; Firouz Rosti (McNeese State University); Alex Mabrich (Bentley Systems Inc.) BIM
Monday July 29th Grand Station 4 10:00 a.m. 506 Exploring Digital Twin Applications: A Comprehensive Review and Future Directions through Maturity Models in the AECO Industry Moaaz A Elkabalawy (Concordia University)*; Shima Zeynolabedini (Concordia University); SangHyeok O Han (Concordia University); Jong Won Ma (Concordia University) BIM
Monday July 29th Grand Station 4 10:15 a.m. 249 Towards Trustworthy Road Digital Twins: A State-of-the-art Review Linjun Lu (University of Cambridge)*; YUANDONG PAN (University of Cambridge); Ioannis Brilakis (University of Cambridge) BIM
Monday July 29th Grand Station 4 10:30 a.m. 605 Infrastructure Digital Twins: A Definition Steven Vick (US Air Force Academy); Matthew Serano (US Air Force Academy); Sean M Mulholland (US Air Force Academy)* BIM
Digital Twins in Action
Monday July 29th Grand Station 4 11:00 a.m. 82 Developing Digital Twins for Real-Time Bridge Structural Health Monitoring by Integrating Scan-to-BrIM Remote Sensing Technologies, Photogrammetry-based 3D Scanning, Finite Element Modeling, and IoT Sensing Xi Hu (New Jersey Institute of Technology); Rayan Assaad (New Jersey Institute of Technology)*; Sanjay Ravishankar (Edison Academy Magnet School); Saadhika Prakash (Edison Academy Magnet School); Jayden Lin (Bronx High School of Science) BIM
Monday July 29th Grand Station 4 11:15 a.m. 535 Digital Twin Technologies in Predictive Maintenance: Enabling Transferability via Sim-to-Real and Real-to-Sim Transfer Sizhe Ma (Carnegie Mellon University)*; Katherine Flanigan (Carnegie Mellon University); Mario Bergés (CMU) BIM
Monday July 29th Grand Station 4 11:30 a.m. 85 Advancing Sound Level Localization through Innovative Integration and Fusion of Remote Sensing and Reality Captured LiDAR-based Digital Twins, Auditory Devices, and IoT Technologies Oscar Poudel (New Jersey Institute of Technology); Rayan Assaad (New Jersey Institute of Technology)* BIM
Monday July 29th Grand Station 4 11:45 a.m. 386 Digital Twins in Construction: Leveraging Point Cloud Data and BIM for Monitoring Project Schedule Hamidreza Alavi (University of Cambridge)*; MUDAN WANG (University of Cambridge); Guangming Wang (University of Cambridge); Soheila Kookalani (University of Cambridge); Alwyn Mathew (University of Cambridge); Ioannis Brilakis (University of Cambridge) BIM
Point Cloud Instance Segmentation
Monday July 29th Grand Station 4 2:00 p.m. 136 3D Instance Segmentation of Indoor Scenes Based on Point Cloud Neural Networks Hongxu Wang (Chongqing University)*; Liu JiePeng (Chongqing university); Tianze Chen (Chongqing University); Pengkun Liu (Chongqing University); DongSheng Li (Chongqing University ); Junwen Zhou (Chongqing University) BIM
Monday July 29th Grand Station 4 2:15 p.m. 137 A Deep Learning-Driven Framework for Efficient and Robust 3D Instance Segmentation Tianze Chen (Chongqing University)*; 91196010 Wu (Chonqqing University); Hongxu Wang (Chongqing University); Liu JiePeng (Chongqing university); Pengkun Liu (Chongqing University); Dongsheng Li (Chongqing University); Hongtuo Qi (Chongqing University) BIM
Monday July 29th Grand Station 4 2:30 p.m. 256 Complex Instance Segmentation in Point Clouds with Images and 3D Models Zhiqi Hu (University of Cambridge)*; YUANDONG PAN (University of Cambridge); Ioannis Brilakis (University of Cambridge); Andre Borrmann (Technical University of Munich) BIM
Monday July 29th Grand Station 4 2:45 p.m. 172 Automated SCAN-to-BIM with Point Cloud Instance Segmentation and Large Language Model Knowledge Enhancement Pengkun Liu (Chongqing University); Liu JiePeng (Chongqing university); Hongxu Wang (Chongqing University); Tianze Chen (Chongqing University); Dongsheng Li (Chongqing University)* BIM
Monday July 29th Grand Station 4 3:00 p.m. 208 Deep-learning Model for Multi-scale Construction Object Detection from 3D Sparse LiDAR Mingyu Zhang (Hong Kong Polytechnic University); Lei WANG (The Hong Kong Polytechnic University); Shuai HAN (The Hong Kong Polytechnic University)* BIM
Monday July 29th Grand Station 4 3:15 p.m. 96 Leveraging Spatial Orientation of Extruded Profiles for Point Cloud Instance Segmentation and Instance Enrichment in Structural Systems Florian Noichl (Technical University of Munich)*; Alex Braun (Technical University of Munich); André Borrmann (Technical University of Munich) BIM
Inference in Point Clouds
Monday July 29th Grand Station 4 3:45 p.m. 270 An Integrated Solution for Automatic 3D Object-based Information Retrieval YA WEN (University of Cambridge)*; MUDAN WANG (University of Cambridge); Mahendrini Ariyachandra (University of Cambridge); Guangming Wang (University of Cambridge); Ioannis Brilakis (University of Cambridge); Lizhao Xiao (University of Hong Kong) BIM
Monday July 29th Grand Station 4 4:00 p.m. 404 Object-level Temporal Change Detection on Construction Sites with 3D Deep Learning Models Jeffrey Rugg (Mississippi State University); Jingdao Chen (Mississippi State University)*; Mikias W Gugssa (Mississippi state university); Jun Wang (Mississippi State University) BIM
Monday July 29th Grand Station 4 4:15 p.m. 317 Experimental Evaluation of Building Façade Extraction Algorithm Using 3D Synthetic Point Clouds Sisi Han (Marquette University)*; Yong Bai (Marquette University ); Yuhan Jiang (North Carolina A&T State University) BIM
Monday July 29th Grand Station 4 4:30 p.m. 297 Few-shot Bridge Component Recognition Using Point Cloud Data Based On Large-scale CV Model Na CUI (Chongqing University)*; Liu JiePeng (Chongqing university); Yan Zeng (Chongqing University) BIM
Monday July 29th Grand Station 4 4:45 p.m. 398 Bike Lane Width Estimation on LiDAR Point Cloud Using Dimensionality Reduction and Weakly Supervised Learning Chialing Wei (Arizona State University)*; Mohit Gupta (Arizona State University); Ricardo Eiris (Arizona State University); Thomas Czerniawski (Arizona State University) BIM
BIM Specialty Tools
Tuesday Julty 30th Grand Station 4 9:45 a.m. 170 Testing the learning capabilities of Reinforcement Learning towards automated clash resolution Ashit Harode (Virginia Tech)*; Walid Thabet (Virginia Tech) BIM
Tuesday Julty 30th Grand Station 4 10:00 a.m. 324 Analyzing Attributes and Objectives of MEP Buildability Issue Descriptions: A Comparison of VR and non-VR Simge Girgin (Stanford University)*; Renate Fruchter (Stanford University); Martin Fischer (Stanford University) BIM
Tuesday Julty 30th Grand Station 4 10:15 a.m. 121 Graph-based change propagation across BIM design software applications Zijian Wang (Technion Israel Institute of Technology)*; Huaquan Ying (Technion-Israel Insititute of Technology); Kim Nyberg (Trimble); Rafael Sacks (Technion - Israel Institute of Technology ) BIM
Tuesday Julty 30th Grand Station 4 10:30 a.m. 415 Virtual Design and Construction Time Study Schema Development Orgil Borjigin (University of Washington); Lingzi Wu (University of Washington); Carrie S Dossick (University of Washington)* BIM
Reality Capturing
Tuesday Julty 30th Grand Station 4 11:00 a.m. 321 Preservation of Heritage Buildings through Digitization - Reality Capture of the Old Faithful Inn; An Overview of the Process, Potentials and Challenges. Ayoola Olorunnishola (University of Wyoming); Chengyi Zhang (University of Wyoming)*; Danish Kumar (University of Wyoming); Peng Liu (University of WYoming); Anthony Denzer (University of Wyoming) BIM
Tuesday Julty 30th Grand Station 4 11:15 a.m. 290 A Systems Framework for Examining Laser Scanning Adoption in Geometric Quality Assessment of Offsite Construction Jiayi XU (The University of Hong Kong)*; XINQI LIU (The university of Hong Kong); Wei Pan (The University of Hong Kong) BIM
Tuesday Julty 30th Grand Station 4 11:30 a.m. 230 A 3D modeling approach based on UAV-captured low-light images Zhaolun LIANG (The Hong Kong University of Science and Technology)*; Haojia LI (The Hong Kong University of Science and Technology); Hao WU (The Hong Kong University of Science and Technology (Guangzhou)); Kok Yiu WONG (The Hong Kong University of Science and Technology); Fangzhou LIN (The Hong Kong University of Science and Technology); Zhenyu LIANG (Hong Kong University of Science and Technology); Jack Chin Pang CHENG (The Hong Kong University of Science and Technology) BIM
Tuesday Julty 30th Grand Station 4 11:45 a.m. 603 Volume Estimation of Landslide Debris on Roadways Using UAVs and Structure from Motion Chonnapat Opanasopit (Oregon State University)*; Joesph Louis (OSU) BIM
Digital Twins in Action
Tuesday Julty 30th Grand Station 4 2:00 p.m. 215 Framework for Automated Assembly Quality Assessment of DfMA Modules using Augmented Reality-enabled Digital Twin (ARDT) ZHIGANG LI (National University of Singapore)*; Yuanchang Liang (National University of Singapore); David K H Chua ("National University of Singapore, Singapore") BIM
Tuesday Julty 30th Grand Station 4 2:15 p.m. 278 Automated generation of geometric digital twin of roof for building retrofitting MUDAN WANG (University of Cambridge)*; YA WEN (University of Cambridge); YUANDONG PAN (University of Cambridge); Guangming Wang (University of Cambridge); Hamidreza Alavi (University of Cambridge); Soheila Kookalani (University of Cambridge); Ioannis Brilakis (University of Cambridge) BIM
Tuesday Julty 30th Grand Station 4 2:30 p.m. 284 TailorAlert: Large Language Model-Based Personalized Alert Generation System for Road Infrastructure Management with Digital Twins Peihang Luo (University of Cambridge)*; Erika Parn (University of Cambridge); Soheila Kookalani (University of Cambridge); Ioannis Brilakis (University of Cambridge) BIM
Tuesday Julty 30th Grand Station 4 2:45 p.m. 567 A Framework of Managing Non-emergency Civic Services based on Digital Twinning and Crowdsourcing Jinyue Zhang (Tianjin University)* BIM
Tuesday Julty 30th Grand Station 4 3:00 p.m. 149 Process-oriented quality defect reasoning and tracing engine in construction digital twin for quality control Ningshuang Zeng (Southeast University)*; Yan Liu (Nanjing University); Jie Huang (Southeast University); Markus König (Ruhr-Universität Bochum); Qiming Li (Southeast University) BIM
Tuesday Julty 30th Grand Station 4 3:15 p.m. 298 Digital twining everything all-at-once in facility management: A rapid configurable, deployable and scalable platform Guanying HUANG (Southeast University)*; Shiu Tong Thomas NG (City University of Hong Kong); dezhi li (Southeast University); Jun XU (City University of Hong Kong) BIM
Model Content Generation
Tuesday Julty 30th Grand Station 4 3:45 p.m. 14 Domain-specific fine-tuning of LLM for material matching of BIM elements and Material Passports Kasimir Forth (Technical University of Munich)*; Patrick Berggold (Technical University of Munich); André Borrmann (Technical University of Munich) BIM
Tuesday Julty 30th Grand Station 4 4:00 p.m. 413 Large Language Model-based Reasoning for Hierarchical Structure of Scan-to-BIM Objects under IFC Standard Jinwu Xiao (Purdue University); Jiashu Hu (Purdue University); Hyuna Kang (Purdue University); Tahoon Hong (Yonsei University); Kyubyung Kang (Purdue University)* BIM
Tuesday Julty 30th Grand Station 4 4:15 p.m. 283 Dense 3D Neural Map Reconstruction Only Using a Low-cost LiDAR Guangming Wang (University of Cambridge)*; Alwyn Mathew (University of Cambridge); MUDAN WANG (University of Cambridge); YA WEN (University of Cambridge); Hamidreza Alavi (University of Cambridge); Weiwei Chen (University of Cambridge); Ioannis Brilakis (University of Cambridge) BIM
Tuesday Julty 30th Grand Station 4 4:30 p.m. 461 An Open Vocabulary Framework for Efficient 2D-3D Visual Data Annotation in Indoor and Outdoor Built Environments Md Ashiqur Rahman (Florida International University); Jiuyi Xu (University of Southern California); ziming liu (Colorado School of Mines); Meida Chen (USC Institute for Creative Technologies); Runhe Zhu (Florida International University)*; Yizhi Liu (Syracuse University); Yangming Shi (Colorado School of Mines); Andrew Feng (USC Institute for Creative Technologies) BIM
Tuesday Julty 30th Grand Station 4 4:45 p.m. 334 Intelligent layout of annotations in fabrication drawings of precast concrete components based on hybrid bounding box and reinforcement learning zhang chao (chongqing university)*; Xu Chengran (Zhejiang University of Technology); Liu JiePeng (Chongqing university); Qi Hongtuo (Chongqing university) BIM
Specialty BIM
Wednesday July 31st Grand Station 4 9:45 a.m. 165 Cloud BIM Interdisciplinary Concurrent Design Collaboration: Refining Experimental Tools by Assessing Interaction Dynamics in Two Experiments Siyu Chen (Trimble solutions corporation)*; Anthony Lau (Aalto University); Tuomas Valkonen (Aalto University); Timson Yeung (Technion - Israel Institute of Technology); Kim Nyberg (Trimble solutions corporation); Rafael Sacks (Technion - Israel Institute of Technology ) BIM
Wednesday July 31st Grand Station 4 10:00 a.m. 516 Sustainability Integration of Building Information Modeling in Construction Management Asma A Sharafeddin (Oregon state University)* BIM
Wednesday July 31st Grand Station 4 10:15 a.m. 276 Building Information Modeling Level of Development Checker Su-Ling Fan (Tamkang University); SHAO-MING LU (National Taiwan University)*; Chun-Tin Wu (National Taiwan University); Sang Hyung Ahn (University of Queensland); Szu-Yun Lin (National Taiwan University) BIM
Wednesday July 31st Grand Station 4 10:30 a.m. 237 Improving the Efficiency of Road Construction Projects through Building Information Modeling (BIM) for Infrastructure Hosam Hegazy (Purdue University)*; Hang Li (Purdue University); Jiansong Zhang (Purdue University) BIM
BIM in Practice
Wednesday July 31st Grand Station 4 11:00 a.m. 397 Navigating the adoption of model-based computer technology in estimating: Insights from a case study with preconstruction practitioners Qipeng Liu (University of Florida )*; Rui Liu (University of Florida) BIM
Wednesday July 31st Grand Station 4 11:15 a.m. 388 Re-imagining Building Information Management Use Case Definitions for the U.S. National BIM Standard Zahra Ghorbani (Penn State)*; Ralph Kreider (BRG); Johnny Fortune (National Institute of Building Sciences); John Messner (Penn State) BIM
Wednesday July 31st Grand Station 4 11:30 a.m. 400 BIM Adoption Barriers in Developing Countries Gulbin Ozcan-Deniz (Thomas Jefferson University)*; Beliz Ozorhon (Bogazici University); Osman Can Kaya (Bogazici University) BIM
Wednesday July 31st Grand Station 4 11:45 a.m. 245 Contractor Perspectives of Digital Project Deliverables: An Exploratory Study Amelia Celoza (University of Colorado Boulder)* BIM
Generative Artificial Intelligence for Safety
Monday July 29th Grand Station 5 9:45 a.m. 71 Generative AI-based Query Answering System for Construction Safety Regulation Ning Wang (Middle Tennessee State University)* S&H
Monday July 29th Grand Station 5 10:00 a.m. 279 Development of a Framework for Generative AI-based Safety Management via Prompt Engineering SeungJu Park (Pusan National University ); KIHyun Jung (Pusan National University); Namgyun Kim (Texas A&M University); JungHo Jeon (Pusan National University)* S&H
Monday July 29th Grand Station 5 10:15 a.m. 517 Large Language Models for Construction Post Accident Analysis Ali Katooziani (university of florida)*; Idris Jeelani (University of Florida) S&H
Monday July 29th Grand Station 5 10:30 a.m. 59 Can Large Vision-Language Models Understand Construction Safety? A Novel Benchmark Using Construction Safety Posters Xuezheng Chen (University of British Columbia)*; Shengzhe Zhang (University of British Columbia); Zhengbo Zou (University of British Columbia) S&H
Smart Safety
Monday July 29th Grand Station 5 11:00 a.m. 145 Construction Behavior Safety Risk Identification Based on Knowledge Graph and Large Language Model Yongshuang Li (Shanghai Jiao Tong University); Feng Xu (Shanghai Jiao Tong University)*; Zhipeng Zhang (Shanghai Jiao Tong University); Xinyu Mei (Shanghai Jiao Tong University) S&H
Monday July 29th Grand Station 5 11:15 a.m. 19 Improving Heat Strain Prediction in Construction Workers: A Transfer Learning Approach to Overcome Variability Challenges Amit Ojha (UIUC); Xiayu Zhao (UIUC); Yuming Zhang (UIUC); Yizhi Liu (Syracuse University); Houtan Jebelli (UIUC)* S&H
Monday July 29th Grand Station 5 11:30 a.m. 408 Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection Hongyang Zhao (University of Toronto); Tianyu Liang (University of Toronto); Sina Davari (University of Toronto)*; Daeho Kim (University of Toronto) S&H
Monday July 29th Grand Station 5 11:45 a.m. 119 TCLP-Judge: A Deep Learning Model for Real-Time Evaluation of Tower Crane Layout Planning Considering Construction Safety and Efficiency Rongyan LI (Polyu)*; Zhiqi Hu (University of Cambridge); Soheila Kookalani (University of Cambridge); Hung-Lin Chi (The Hong Kong Polytechnic University) S&H
Highway & Worker Safety
Monday July 29th Grand Station 5 2:00 p.m. 423 Assessing Injury Risk Factors Among Construction Workers in Highway Work Zones Peiyi Lyu (The University of Alabama); Erfan Ramezanpour (The University of Alabama); Solomon Ajasa (The University of Alabama); Siyuan Song (The University of Alabama)* S&H
Monday July 29th Grand Station 5 2:15 p.m. 513 Assessing Physical Fatigue in Highway Maintenance Workers through Electromyography: The Impact of Lifting Weights and Heights on Bags Handling Xingzhou Guo (University of Minnesota Duluth)*; Xinran Hu (Purdue University); Yunfeng Chen (Purdue University); Jiansong Zhang (Purdue University) S&H
Monday July 29th Grand Station 5 2:30 p.m. 424 Augmenting Highway Workers' Hearing of Backup Alarm Sounds in Noisy Workplace Using Speech Enhancement Generative Adversarial Network (SEGAN) Thinh T Nguyen (Clemson University)*; Kehinde A Elelu (Clemson University); Robert Le (Clemson University); Chau Le (North Dakota State University) S&H
Monday July 29th Grand Station 5 2:45 p.m. 593 Pattern-Matching-Based Information Extraction from Transportation Crash Reports for Crash Scene Reconstruction Jingyi Lai (Purdue University)*; Jiansong Zhang (Purdue University) S&H
Monday July 29th Grand Station 5 3:00 p.m. 299 Application of Time Series Analysis in Forecasting Highway-Railroad Crossing Accidents Frequency in Indiana, USA shufan liu (purdue university)*; Shanyue Guan (Purdue university) S&H
Monday July 29th Grand Station 5 3:15 p.m. 425 Customized Implementation of Advanced Safety Sensors for Small Motor Carriers through Vehicle Inspection and Crash Data Analytics Ava Jahanbiglari (Carnegie Mellon University)*; Ying Shi (Carnegie Mellon University); Ruoxin Xiong (Carnegie Mellon University); Pingbo Tang (Carnegie Mellon University) S&H
Work Zone Safety
Monday July 29th Grand Station 5 3:45 p.m. 126 Safety Analysis of Construction Work Zones Activities using Convolutional Neural Network and BiLSTM Ali Hassandokht Mashhadi (University of Utah)*; Abbas Rashidi (University of Utah); Nikola Marković (University of Utah); Pouria Mohammadi (University of utah) S&H
Monday July 29th Grand Station 5 4:00 p.m. 383 Enhancing Construction Site Safety: Dual-Model Trajectory Prediction through Computer Vision Hao Wu (Loughborough University)*; Long Chen (Loughborough University); Craig Hancock (Loughborough University); Yang Zou (The University of Auckland) S&H
Monday July 29th Grand Station 5 4:15 p.m. 209 Enhancing Construction Site Safety with AI: A Multimodal Approach to Understanding Workers’ Behavior Xiaogang Guo (Middle Tennessee State University); Ning Wang (Middle Tennessee State University)* S&H
Monday July 29th Grand Station 5 4:30 p.m. 240 Smart Safety Training System with Enhanced Human-Technology Interactions for Work Zone Safety Improvement Mikias W Gugssa (Mississippi state university); Jun Wang (Mississippi State University)*; Junfeng Ma (Mississippi State University); Isaac Howard (Mississippi State University); Yu Wang (Mississippi State University); Joshua Cotton (Mississippi State University) S&H
Monday July 29th Grand Station 5 4:45 p.m. 435 Exploring Peer Influence on Risk Perception and Safety Performance in Collaborative Construction Workplaces Shiva Pooladvand (PURDUE UNIVERSITY); Sogand Hasanzadeh (Purdue University)* S&H
Human-centered Safety
Tuesday Julty 30th Grand Station 5 9:45 a.m. 550 Evaluating Vibrotactile Warning Strategies for Struck-by Hazard Mitigation in Construction Work Zones Xiang Yang (Virginia Tech)*; Nazila Roofigari-Esfahan (Virginia Tech) S&H
Tuesday Julty 30th Grand Station 5 10:00 a.m. 325 Exploration of the relationship between visual search and hazard recognition performance using eye-tracking technology Peng Liu (University of WYoming); Chengyi Zhang (University of Wyoming)* S&H
Tuesday Julty 30th Grand Station 5 10:15 a.m. 328 Detecting without Training: An Open-vocabulary Object Detection Method for Identifying Hazardous Objects on the Construction Site ziming liu (Colorado School of Mines); Jiuyi Xu (University of Southern California); Christine Wun Ki Suen (The University of British Columbia); Meida Chen (the University of Southern California - Institute for Creative Technologies ); Zhengbo Zou (University of British Columbia); Andrew Feng (USC Institute for Creative Technologies); Yangming Shi (Colorado School of Mines)* S&H
Tuesday Julty 30th Grand Station 5 10:30 a.m. 574 Integrating Infrared Sensors and Computer Vision for Heat Stress Detection in Construction Environment Ahmad Gholizadeh Lonbar (University of Alabama); Kaiwen Chen (University of Alabama)*; Siyuan Song (The University of Alabama) S&H
Wearable Technologies for Safety
Tuesday Julty 30th Grand Station 5 11:00 a.m. 56 A Multimodal Machine Learning Approach to Fatigue Assessment in Construction Workers Using Wearable Technology Yogesh Gautam (UIUC); Yizhi Liu (Syracuse University); Houtan Jebelli (UIUC)* S&H
Tuesday Julty 30th Grand Station 5 11:15 a.m. 32 Advancing Realtime Physiological Health Monitoring in Construction: A Feasibility Study of Fatigue Estimation of Construction Workers on Smart Devices Yogesh Gautam (UIUC); Amit Ojha (UIUC); Yizhi Liu (Syracuse University); Houtan Jebelli (UIUC)* S&H
Tuesday Julty 30th Grand Station 5 11:30 a.m. 536 Feasibility of Applying a Wearable Electrodermal Activity Sensor for Individual Fall Risk Assessment John Jiu Sohn (University of Michigan)*; Hoonyong Lee (University of Michigan); Gaang Lee (University of Alberta); Jesse Jacobs (Liberty Mutual Insurance); SangHyun Lee (University of Michigan) S&H
Tuesday Julty 30th Grand Station 5 11:45 a.m. 40 Evaluation of physical workload on shoulders using surface electromyography sensors in janitor backpack vacuuming tasks Wonil Lee (Central Connecticut State University)*; Jia-Hua Lin (Washington State Department of Labor and Industries); Ninica Howard (Washington State Department of Labor and Industries); Stephen Bao (Washington State Department of Labor and Industries) S&H
Worker State Inference
Tuesday Julty 30th Grand Station 5 2:00 p.m. 406 A Critical Review of Methods for Physical Fatigue Assessment for Construction Workers Md Hadisur Rahman (West Virginia University); Nishat Alam (West Virginia University); Fei Dai (West Virginia University); JuHyeong Ryu (West Virginia University)* S&H
Tuesday Julty 30th Grand Station 5 2:15 p.m. 537 Statistical Modeling of Psychophysiological and Personality Factors to Predict Construction Workers' Near Miss Recognition Performance Shashank Muley (Louisiana State University )*; Sueed Willoughby (Louisiana State University and Agricultural and Mechanical College: Louisiana State University); Chao Wang (Louisiana State University) S&H
Tuesday Julty 30th Grand Station 5 2:30 p.m. 187 Workers’ unsafe behavior prediction based on cumulative prospect theory and the first-person perspective image Zhitian Zhang (Tsinghua University); Hongling Guo (Tsinghua University)* S&H
Tuesday Julty 30th Grand Station 5 2:45 p.m. 86 Developing Real-Time Acoustic Technologies for Enhancing Safety and Efficiency on Construction Job Sites using Deep Learning Algorithms: Moving Towards Automated Construction Site Monitoring Oscar Poudel (New Jersey Institute of Technology); Rayan Assaad (New Jersey Institute of Technology)* S&H
Tuesday Julty 30th Grand Station 5 3:00 p.m. 48 An Audio-Based Emotion Monitoring System for Enhancing Construction Worker Safety and Mental Health Mengjun Wang (University of Tennessee: Knoxville)*; Xiande Zhang (University of Tennessee: Knoxville); Shuai Li (University of Tennessee Knoxville); Jiannan Cai (The University of Texas at San Antonio); Yuqing Hu (Penn State University) S&H
Tuesday Julty 30th Grand Station 5 3:15 p.m. 244 Current State of the Art in Real-Time EEG-Based Recognition of Mental Status in Construction Xiaoying Yang (Virginia Polytechnic Institute and State University)*; Tanyel Bulbul (Virginia Polytechnic Institute and State University); Yimin Qin (The University of California, Davis) S&H
Ergonomics
Tuesday Julty 30th Grand Station 5 3:45 p.m. 23 Enhancing Ergonomics and Posture with Wearable Robots for Construction Tasks: Evaluating the Impact of Virtual Reality-Based Exoskeleton Training Platforms Yuming Zhang (UIUC); Tianyu Ren (University of Illinois Urbana-Champaign); Houtan Jebelli (UIUC)* S&H
Tuesday Julty 30th Grand Station 5 4:00 p.m. 35 Evaluating the Impact of Back-Support Exoskeletons on Construction Workers’ Fall Risk Shayan Shayesteh (University of Illinois Urbana-Champaign); Amit Ojha (UIUC); Yogesh Gautam (UIUC); Houtan Jebelli (UIUC)*; Abosede A Akanmu (Virginia Tech) S&H
Tuesday Julty 30th Grand Station 5 4:15 p.m. 337 Enhancing Worker Safety and Ergonomics in Steel Erection Using Intermeshed Steel Connection: A Conceptual Framework Tolulope Oyeyipo (The University of Texas at San Antonio); Chinedu Okonkwo (The University of Texas at San Antonio); Ibukun G Awolusi (The University of Texas at San Antonio)*; Arturo Schultz (The University of Texas at San Antonio); Debra Laefer (New York University); Salam Al-Sabah (University College Dublin) S&H
Tuesday Julty 30th Grand Station 5 4:30 p.m. 533 Text-to-Motion Generation for Construction Worker’s Posture Coaching Applying Stochastic Ergonomic Risk Minimization Leyang Wen (Umich-DPM)*; Gunwoo Yong (University of Michigan); Francis Baek (University of Michigan); SangHyun Lee (University of Michigan) S&H
Tuesday Julty 30th Grand Station 5 4:45 p.m. 214 How do Digital Technologies Facilitate Ergonomic Risk Management in the Construction Industry? A Review Yu TAO (Shanghai Jiao Tong University)*; Hao Hu (Shanghai Jiao Tong University); Xinyu Mei (Shanghai Jiao Tong University); Zhipeng Zhang (Shanghai Jiao Tong University); Feng Xu (Shanghai Jiao Tong University) S&H
Hazard/Risk Identification
Wednesday July 31st Grand Station 5 9:45 a.m. 188 Automated Safety Risk Rating and Risk Control Plan Execution in Deep Foundation Pit Construction Shiqi Chen (Southeast University)*; Ningshuang Zeng (Southeast University); Funing Li (Southeast University); Markus König (Ruhr-Universität Bochum); Qiming Li (Southeast University) S&H
Wednesday July 31st Grand Station 5 10:00 a.m. 560 Vision-based Ergonomic Problem and Solution Identification with Pose-Aware Image Captioning Gunwoo Yong (University of Michigan)*; Meiyin Liu (Rutgers, The State University of New Jersey); SangHyun Lee (University of Michigan) S&H
Wednesday July 31st Grand Station 5 10:15 a.m. 34 A Novel Edge Computing Framework for Construction Nail Detection under Conditions of Constrained Computing Resources Gongfan Chen (North Carolina State University)*; Abdullah Alsharef (King Saud University); Michael Pedraza (North Carolina State University); Alex Albert (North Carolina State University); Edward Jaselskis (North Carolina State University) S&H
Wednesday July 31st Grand Station 5 10:30 a.m. 429 Exploring the Impact of Weather Conditions on Construction Workers' Safety: A Focus on Fall Accidents Solomon Ajasa (The University of Alabama); Peiyi Lyu (The University of Alabama); Raissa Marchiori (The University of Alabama); Siyuan Song (The University of Alabama)* S&H
Sustainable Built Environment
Monday July 29th Brighton Room 1 9:45 a.m. 8 Gamified Virtual Reality for Building Material Reuse Planning Gabriel Earle (University of Waterloo)*; Emmanouil Katsimpalis (University of Waterloo); Brandon Byers (ETH Zurich); Carl Haas (University of Waterloo); Bryan Adey (ETH Zurich); Catherine De Wolf (ETH Zurich) R&S
Monday July 29th Brighton Room 1 10:00 a.m. 572 Using Biophilic Illusions to Promote Nature Connectedness and Occupant Wellbeing in the Built Environment Basma Altaf (Stanford University)*; Sarah Billington (Stanford University) R&S
Monday July 29th Brighton Room 1 10:15 a.m. 547 Feasibility and Implications: Integrating Zero-Emission Vehicles into Power Grid in California Amir Talakoob (CSUS); Hooman Hooshmand (Politecnico di Milano); Atefeh Mohammadpour (CSUS)* R&S
Monday July 29th Brighton Room 1 10:30 a.m. 582 Prototype-wise Sensitivity Analysis of Urban Building Energy Simulation Surrogate Modeling Accuracy Xiyu Pan (Georgia Institute of Technology); Neda Mohammadi (Georgia Tech); John E. Taylor (Georgia Tech)*; Yujie Xu (LBNL); Tianzhen Hong (LBNL) R&S
Urban Design & Planning
Monday July 29th Brighton Room 1 11:00 a.m. 234 Unifying Multi-Sector Stakeholder Value Systems in Resilience Planning through Reinforcement Learning and Network Analysis Hang Ren (Virginia Tech); Lu Zhang (Virginia Tech)*; Travis Whetsell (Georgia Institute of Technology); N. Emel Ganapati (Florida International University) R&S
Monday July 29th Brighton Room 1 11:15 a.m. 228 Aligning early building design with urban planning requirements and sustainability indicators Jonas Maibaum (Chair of Computing in Engineering, Ruhr University Bochum)*; Daniel Napps (Ruhr University Bochum); Markus König (Ruhr-Universität Bochum) R&S
Monday July 29th Brighton Room 1 11:30 a.m. 167 Developing a data ecosystem of city-level digital twin for urban management use cases Jiayi Yan (University College London)*; Qiuchen Lu (University College London); Nan Li (Tsinghua University); Michael Pitt (University College London); Xuhui Lin (University College London) R&S
Monday July 29th Brighton Room 1 11:45 a.m. 173 Automated mass building dilapidation assessment by triangulating panoptic learnt defects with urban footprint Zihan Huang (The University of Hong Kong)*; Junjie Chen (The University of Hong Kong); Weisheng Lu (The University of Hong Kong) R&S
Infrastructure Systems
Monday July 29th Brighton Room 1 2:00 p.m. 418 Link Prediction and Navigability of Multiplex Energy Networks Muhammad Kazim (NDSU-IME); harun pirim (NDSU-IME)*; Chau Le (NDSU); Trung Le (USF); Om Yadav (NCAT) R&S
Monday July 29th Brighton Room 1 2:15 p.m. 212 Leveraging Graph Attention Network Model for Adaptive Spatial Planning of Social Infrastructure Ziyi Guo (University of Florida); Yan Wang (University of Florida)*; Haiyan Hao (the Chinese University of Hong Kong (Shenzhen)) R&S
Monday July 29th Brighton Room 1 2:30 p.m. 540 Adaptive Sensing Reconfiguration for Cost-Effective Multi-Damage Monitoring of Civil Infrastructure Kaijian Liu (Stevens Institute of Technology)*; Ronghuan Xue (Stevens Institute of Technology); Mohsen Agha (Urmia University of Technology) R&S
Monday July 29th Brighton Room 1 2:45 p.m. 97 Leveraging Emerging Flood Modeling Methods and Infrastructure Designs for Land-Use Analysis: A Case Study in the Southeast Texas Region Sean Murphy (The University of Texas at Austin)*; Chih-Shen Cheng (The University of Texas at Austin); Paola Passalacqua (The University of Texas at Austin); Fernanda Leite (The University of Texas at Austin) R&S
Monday July 29th Brighton Room 1 3:00 p.m. 500 Multi-source and multimodal data fusion for lifeline infrastructure resilience assessment and early warning Yunqiao Jin (Southeast University); Tianle Duan (Purdue University); Hua Zhang (Jiangsu Dongyin Intelligent Engineering Technology Research Institute Co.,Ltd); Qingchun Li (Purdue University); Jin Zhu (Southeast University)* R&S
Monday July 29th Brighton Room 1 3:15 p.m. 586 Probabilistic Modeling of Infrastructure Reliability Timothy Frank (U.S. Air Force Academy)*; Alexander Ankney (U.S. Air Force Academy); Jacob Miller (U.S. Air Force Academy); Bevan Watson (U.S. Air Force Academy); Kayla Kim (U.S. Air Force Academy); Garrett Henigin (U.S. Air Force Academy); Sean M Mulholland (US Air Force Academy) R&S
Energy Management - Buildings, Occupants, and Infrastructure
Monday July 29th Brighton Room 1 3:45 p.m. 95 Techno-economic analysis of building energy retrofits: integrating occupant behavior impacts Lei Shu (Michigan State University)*; Zhao Dong (Michigan State University) R&S
Monday July 29th Brighton Room 1 4:00 p.m. 577 Unveiling New Insights into Building Energy-saving Behavior: A Synthesis of the Theory of Planned Behavior and Stimulus-Organism-Response Framework Zeyang Gu (Hebei University of Technology); Qi Wang (Tianjin University)*; Bingsheng Liu (Hebei University of Technology); Ling Li (Tianjin University); Tengfei Huo (Hebei University of Technology) R&S
Monday July 29th Brighton Room 1 4:15 p.m. 158 Optimizing Building Energy Use Reduction: Integrating HVAC systems and Building Envelope through Sensitivity Analysis Chang Xu (Michigan State University)*; Lei Shu (Michigan State University); Dong Zhao (Michigan State University) R&S
Monday July 29th Brighton Room 1 4:30 p.m. 390 Advancing Power System Resilience: A Hybrid Empirical and Network Theory-Based Approach Using Historical Failure Data Muhammad Ali Moriyani (North Dakota State University )*; Dr. Chau Le (North Dakota State University); Dr. Trung Le (University of South Florida); Dr. Om Prakash Yadav (North Carolina Agricultural and Technical State University); harun pirim (NDSU-IME) R&S
Monday July 29th Brighton Room 1 4:45 p.m. 63 Towards Unveiling the Interplay of Occupant Health, Comfort and Building Energy Consumption Antonin Brun (USC)*; Mohamad Awada (University of Southern California); Burçin Becerik-Gerber (USC) R&S
Disaster and Climate Resilience
Tuesday Julty 30th Brighton Room 1 9:45 a.m. 163 Development of A Gamified Training Platform for Improved Disaster Preparedness and Response in Developing Countries Laura Thomas (Florida International University); Lufan Wang (Florida International University)* R&S
Tuesday Julty 30th Brighton Room 1 10:00 a.m. 590 Short-term Disaster Impacts on Transportation Infrastructures: A Review of Emerging Technologies and Approaches Beixuan Dong (University of Alberta); Lingzi Wu (University of Washington); Xinming Li (University of Alberta)* R&S
Tuesday Julty 30th Brighton Room 1 10:15 a.m. 411 Using Low-Cost Consumer Grade Drones and Automated Image Analysis to Evaluate Disaster Recovery Progress Daniel V Perrucci (East Carolina University)*; German Buitrago (East Carolina University) R&S
Tuesday Julty 30th Brighton Room 1 10:30 a.m. 41 Automating Scenario Generation for Infrastructure Resilience in the Built Environment Linchao Luo (University of Texas at Austin)*; Chih-Shen Cheng (The University of Texas at Austin); Fernanda Leite (University of Texas at Austin) R&S
Accessibility
Tuesday Julty 30th Brighton Room 1 11:00 a.m. 266 Estimating Spatial Accessibility of Public Chargers for Electric Vehicles Through Integrating Spatial Correlation and Dynamic Demand Factors Yuzheng Xie (George mason university)*; Wenying Ji (George Mason University) R&S
Tuesday Julty 30th Brighton Room 1 11:15 a.m. 360 Exploring Annotation Automation for Urban Landscape Accessibility Assessment Based on Simulated Neurophysiological Data Xiaoshan Zhou (UNIVERSITY OF MICHIGAN- ANN ARBOR)*; Carol C Menassa (Universiy of Michigan); Vineet Kamat (UNIVERSITY OF MICHIGAN- ANN ARBOR) R&S
Tuesday Julty 30th Brighton Room 1 11:30 a.m. 53 A Shared Autonomy based Wheelchair Navigation Stack considering User Preference and Control Yifan Xu (University of Michigan)*; Qianwei Wang ( University of Michigan); Vineet Kamat (University of Michigan); Carol C Menassa (Universiy of Michigan) R&S
Tuesday Julty 30th Brighton Room 1 11:45 a.m. 142 Toward data-driven urban walkability: developing an empirical understanding of walking behavior and urban form Kanaha Shoji (EPFL)*; Andrew Sonta (EPFL) R&S
Civil Infrastructure
Tuesday Julty 30th Brighton Room 1 2:00 p.m. 229 Intelligent Bridge Preservation Planning Leveraging Multi-Source Knowledge Weilin He (Syracuse University); Chuanni He (Syracuse University)*; Min Liu (Syracuse University) R&S
Tuesday Julty 30th Brighton Room 1 2:15 p.m. 331 Evaluating Participant Gains in Federated Learning: A Case Study of Culvert Condition Prediction in Utah Pouria Mohammadi (University of utah)*; Sadegh Asgari (Merrimack College); Abbas Rashidi (University of Utah) R&S
Tuesday Julty 30th Brighton Room 1 2:30 p.m. 336 Temporal and Spatial Dynamics of Pipeline Incident Frequencies and Causes: Implications for Risk Management Lemlem Abebaw Asaye (North Dakota State University)*; Dr. Chau Le ( North Dakota State University); Dr. Trung Le (University of South Florida); Dr. Om Prakash Yadav (North Carolina Agricultural and Technical State University); Robert Le (Clemson University) R&S
Tuesday Julty 30th Brighton Room 1 2:45 p.m. 454 Examining the Characteristics of Public Response to Unforeseen Cascading Fuel Shortage: A Human Mobility-based Study Md Ashiqur Rahman (Florida International University); Runhe Zhu (Florida International University)* R&S
Tuesday Julty 30th Brighton Room 1 3:00 p.m. 561 Real-time chiller optimization in industrial plants based on data-driven load forecast with domain knowledge Siliang Lu (Bosch Center for Artificial Intelligence)*; Pengkun Liu (Carnegie Mellon University) R&S
Tuesday Julty 30th Brighton Room 1 3:15 p.m. 65 Enhancing the Safety, Sustainability, and Efficiency of Airport Operations through Data-Driven Trajectory-Based Simulation and Optimization Yanyu Wang (N/A); Ruoxin Xiong (Carnegie Mellon University); Pingbo Tang (Carnegie Mellon University)*; Yanyu Wang (Louisiana State University) R&S
Green Construction
Tuesday Julty 30th Brighton Room 1 3:45 p.m. 77 Preference Dynamics for Green Infrastructure: Exploring Preference Construction using a Bayesian Approach Mo Hu (Texas A&M University)*; Tripp Shealy (Virginia Tech) R&S
Tuesday Julty 30th Brighton Room 1 4:00 p.m. 102 A framework for Material Passports-based Building Information Modeling in recycling, reuse, and waste assessment Paula Lopez Alvarez de Neyra (University of Colorado Boulder)*; Amelia Celoza (University of Colorado Boulder) R&S
Tuesday Julty 30th Brighton Room 1 4:15 p.m. 403 Implementing the Use of Evolutionary Algorithm to Develop Ultimate Decision-Making Process for Green Roof Building Materials Taylor N Hoshafi (Drexel University)*; Xi Wang (Drexel University); Kathleen Short (Drexel University); Christine Fiori (Drexel University) R&S
Tuesday Julty 30th Brighton Room 1 4:30 p.m. 192 Self-Sovereign Identity of Things (SSIoT): Digital Identities for Circular Construction Supply Chains Brandon S Byers (ETH Zurich)*; Veikko Eeva (Lumoin); Daniel Hall (TU Delft); Catherine De Wolf (ETH Zurich) R&S
Tuesday Julty 30th Brighton Room 1 4:45 p.m. 62 Addressing Uncertainty in Embodied Carbon Assessment through Stochastic Analysis to Support Decision-making in Construction Projects Alberto E Pozzer (University of Texas at Austin)*; Christopher Rausch (The University of Texas at Austin); Fernanda Leite (University of Texas at Austin) R&S
Water Resources
Wednesday July 31st Brighton Room 1 9:45 a.m. 18 Computer vision-based estimation of inundation depth for urban flood monitoring Dohyun Kim (University of Seoul)*; Sanghoon Lee (University of Seoul) R&S
Wednesday July 31st Brighton Room 1 10:00 a.m. 202 Long term Stream flow forecasting with Machine learning algorithms: A case Study of Goulburn River, Victoria, Australia Shamotra Oad (Swinburne University of Technology)* R&S
Wednesday July 31st Brighton Room 1 10:15 a.m. 393 Promoting Equitable Access to Transboundary Hydrology Data: A Framework for Secure Sharing and Collaborative Machine Learning to Enhance River Discharge Prediction Aggrey Muhebwa (Stanford University)*; Khalid Osman (Stanford University) R&S
Wednesday July 31st Brighton Room 1 10:30 a.m. 193 Bridge Scour Morphology Identification based on 3D Sonar Point Cloud Data Wen Xiong (Department of Bridge Engineering, School of Transportation, Southeast University)*; Zelin Huang (Department of Bridge Engineering, School of Transportation, Southeast University); Yanjie Zhu (Southeast University); C.S. Cai (Department of Bridge Engineering, School of Transportation, Southeast University) R&S
Human-Building Interaction
Monday July 29th Brighton Room 3 9:45 a.m. 87 Enhancing Human-Building Interaction by Integrating Wearable Physiological Sensors, Augmented Reality, and Smart IoT-enabled Sensing Devices to Improve User Indoor Environment Experience Mohsen Mohammadi (New Jersey Institute of Technology); Ghiwa Assaf (New Jersey Institute of Technology); Rayan Assaad (New Jersey Institute of Technology)*; Gilles Albeaino (Texas A&M University) HCI
Monday July 29th Brighton Room 3 10:00 a.m. 491 LLM-Based Building Energy Management Assistants Tianzhi He (Virginia Tech); Farrokh Jazizadeh (Virginia Tech)* HCI
Monday July 29th Brighton Room 3 10:15 a.m. 26 A Framework for Investigating Smart Building and Occupant Behavior through Eye-Tracking Technology Jinmog Han (Iowa State University); Yunjeong Mo (Iowa State University)* HCI
Monday July 29th Brighton Room 3 10:30 a.m. 594 Towards Real-Time Occupant Behavior Monitoring System: A Preliminary Study on Integrating BIM, IoT Sensors, and BAS Jihoon Chung (Rensselaer Polytechnic Institute)*; Dennis Shelden (Rensselaer Polytechnic Institute); Bob Karlicek (Rensselaer Polytechnic Institute) HCI
Human Robot Collaboration
Monday July 29th Brighton Room 3 11:00 a.m. 64 ChatGPT Based Multimodal Virtual Reality Interface to Support Collaborative Human-Robot Construction Work Somin Park (University of Michigan)*; Carol C Menassa (Universiy of Michigan); Vineet Kamat (University of Michigan) HCI
Monday July 29th Brighton Room 3 11:15 a.m. 131 Gaze-enhanced and LLM-enabled System for Intuitive Human-Robot Collaboration Xiaoyun Liang (The University of Texas at San Antonio); Juan C Cruz Rivera (University Of Texas at San Antonio); Jiannan Cai (The University of Texas at San Antonio)*; Shuai Li (University of Tennessee Knoxville) HCI
Monday July 29th Brighton Room 3 11:30 a.m. 108 Advanced Semantic Understanding in Human-Robot Collaboration Using Fast-SAM Hengxu You (University of Florida); Fang Xu (University of Florida); Eric Du (University of Florida)* HCI
Monday July 29th Brighton Room 3 11:45 a.m. 106 Grounding Large Language Models in Robot Control: Facilitating Human-Robot Collaboration in Construction Xiayu Zhao (UIUC); Houtan Jebelli (UIUC)* HCI
Monday July 29th Brighton Room 3 2:00 p.m. 36 Revolutionizing Human-Robot Collaboration in Construction: An Empirical Inquiry into the Role of Advanced Multi-finger Haptic Feedback within Immersive Environments Shayan Shayesteh (University of Illinois Urbana-Champaign); Houtan Jebelli (UIUC)* HCI
Monday July 29th Brighton Room 3 2:15 p.m. 162 Haptic Augmentation System for Soft Object Manipulation in Construction Robot Teleoperation Thanakon Uthai (University of Florida); Tianyu Zhou (University of Florida); Yang Ye (University of Florida); Hengxu You (University of Florida); Eric Du (University of Florida)* HCI
Monday July 29th Brighton Room 3 2:30 p.m. 89 A mutual-cognitive human-robot collaboration framework to improve ergonomics in industrialized construction Yonglin Fu (The University of Hong Kong)*; Weisheng Lu (The University of Hong Kong) HCI
Monday July 29th Brighton Room 3 2:45 p.m. 113 Aligning Safe Construction Robot Actions with Human Preferences Mao Tian (University of British Columbia)*; Zhengbo Zou (University of British Columbia) HCI
Monday July 29th Brighton Room 3 3:00 p.m. 231 Scenario-based Human-robot collaboration (HRC) framework for construction safety risk management peng lin (southeast university)*; Ningshuang Zeng (Southeast University); Qiming Li (Southeast University); Konrad Nübel (Technical University of Munich) HCI
Monday July 29th Brighton Room 3 3:15 p.m. 541 Balancing Workload Assignment: A Parametric Approach to Standardizing Human-Robot Tasks in Industrialized Construction Aladdin Alwisy (University of Florida); Behnam M. Tehrani (University of Florida)* HCI
Human Machine Interfaces
Monday July 29th Brighton Room 3 3:45 p.m. 358 Towards a Conceptual Model to Measure the Influence of AR-HMDs on Workers' Perception in Construction Environments Jeremy W. Withers (Virginia Tech)*; Tanyel Bulbul (Virginia Tech -BC) HCI
Monday July 29th Brighton Room 3 4:00 p.m. 573 Voice-assisted AI-Chatbot for Construction: Speech-to-Text Deep Learning Transformer trained with Synthetic Datasets Yoonhwa Jung (University of Illinois at Urbana Champaign)*; Mani Golparvar-Fard (University of Illinois Urbana Champaign) HCI
Monday July 29th Brighton Room 3 4:15 p.m. 88 Developing an Intelligent Wearable Haptic IoT-enabled Sensing Device Integrated with Biosensors and Augmented Reality to Improve Human-Building Interaction in Smart Cities Mohsen Mohammadi (New Jersey Institute of Technology); Ghiwa Assaf (New Jersey Institute of Technology); Rayan Assaad (New Jersey Institute of Technology)*; Aichih (Jasmine) Chang (New Jersey Institute of Technology); Gilles Albeaino (Texas A&M University) HCI
Monday July 29th Brighton Room 3 4:30 p.m. 463 Wearable Technologies in Construction: Balancing Benefits, Privacy, and Security Concerns for Systematic Integration Wei Zhou (Purdue University); Behzad Esmaeili (Purdue University); Sogand Hasanzadeh (Purdue University)* HCI
Monday July 29th Brighton Room 3 4:45 p.m. 598 Cognitive Impact of Augmented Reality in Teleoperation Environments MINGI AN (Seoul National University)*; Moonseo Park (Seoul National University); Changbum Ahn (Seoul National University) HCI
Human Technology Interaction
Tuesday Julty 30th Brighton Room 3 9:45 a.m. 101 Deciphering AI Decision-Making: A Generalizable Framework of Human-AI Misalignment Eric Du (University of Florida)*; Yang Ye (University of Florida); Hengxu You (University of Florida); Jiahao Wu (University of Florida ); Bowen Sun (University of Florida) HCI
Tuesday Julty 30th Brighton Room 3 10:00 a.m. 417 Identification of challenges and benefits of different human-technology interaction modalities for human-centered development of technology for the construction industry Srijeet Halder (Appalachian State University)*; Kereshmeh Afsari (Virginia Tech) HCI
Tuesday Julty 30th Brighton Room 3 10:15 a.m. 147 Impact of Four-legged Robot Proxemics on Risk Perception and Situational Awareness Among Construction Individuals Gilles Albeaino (Texas A&M University)*; Idris Jeelani (University of Florida); Masoud Gheisari (University of Florida); Raja R. A. Issa (University of Florida) HCI
Tuesday Julty 30th Brighton Room 3 10:30 a.m. 300 Preventing Wastes of Bridge Inspection Time and Resources through LLM Augmented Bridge Inspection Observation Behavior Analysis Pengkun Liu (Carnegie Mellon University); Pingbo Tang (Carnegie Mellon University)* HCI
Inferring Human Dynamics
Tuesday Julty 30th Brighton Room 3 11:00 a.m. 45 Advancing Occupancy Prediction Using Machine Learning Techniques: Insights from the American Time Use Survey Sorena Vosoughkhosravi (Louisiana State University)*; Amirhosein Jafari (Louisiana State University ) HCI
Tuesday Julty 30th Brighton Room 3 11:15 a.m. 346 Synthetic data simulation to assess the effects of modelling assumptions in thermal comfort data analysis and inference Matteo Favero (EPFL)*; Andrew Sonta (EPFL) HCI
Tuesday Julty 30th Brighton Room 3 11:30 a.m. 472 Deep learning model for discomfort glare detection based on occupants’ facial analysis Mohit Gupta (Arizona State University)*; Sneha Jain (Stanford University); Jan Wienold (EPFL); Sarah Billington (Stanford University); Marilyne Andersen (EPFL) HCI
Tuesday Julty 30th Brighton Room 3 11:45 a.m. 180 Feasibility Study of Assessing Pedestrian Discomfort Using Behavioral Data Siyeon Kim (Ewha Womans Universtiy)*; Sungjoo Hwang (Ewha Womans University) HCI
Data-driven Methods for Built Environment
Tuesday Julty 30th Brighton Room 3 2:00 p.m. 168 Investigating Role of Personal Factors in Shaping Responses to Active Shooter Incidents using Machine Learning Ruying Liu (University of Southern California)*; Burcin Becerik-Gerber (University of Southern California); Gale Lucas (University of Southern California) AI
Tuesday Julty 30th Brighton Room 3 2:15 p.m. 312 Read the Room: Inferring Social Context Through Dyadic Interaction Recognition in Cyber-physical-social Infrastructure Systems Cheyu Lin (Carnegie Mellon University)*; Katherine Flanigan (Carnegie Mellon University) AI
Tuesday Julty 30th Brighton Room 3 2:30 p.m. 444 GNN-based Predictive Modeling of Human Preferences in the Built Environment Maral Doctorarastoo (Carnegie Mellon University)*; Katherine A. Flanigan (Carnegie Mellon University); Mario Bergés (CMU); Christopher McComb (Carnegie Mellon University) AI
Tuesday Julty 30th Brighton Room 3 2:45 p.m. 138 Improving vocal communication on construction sites using a Fourier-CNN hybrid denoising approach zhenyu peng (hkpolyu)*; Hung-Lin Chi (The Hong Kong Polytechnic University) AI
Tuesday Julty 30th Brighton Room 3 3:00 p.m. 221 Employing graph neural networks for construction drawing content recognition Andrea Carrara (Technical University of Munich)*; Stavros Nousias (Technical University of Munich); André Borrmann (Technical University of Munich) AI
Tuesday Julty 30th Brighton Room 3 3:15 p.m. 122 AI-based formulas discovery for civil engineering Peiyao Chen (Tsinghua University)*; Chen Wang (Tsinghua University); Ran Ding (Tsinghua University); Jiansheng Fan (Tsinghua University) AI
Blockchain in Construction
Tuesday Julty 30th Brighton Room 3 3:45 p.m. 433 Enhancing data security and screening equity in construction recruitment via Blockchain-based automatic digital resume generation with BIM and AI techniques Yaxian Dong (The Pennsylvania State University); Yuqing Hu (Penn State University)*; Zijun Zhan (University of Houston); Daniel Mawunyo Doe (University of Houston); Zhu Han (University of Houston) BIM
Tuesday Julty 30th Brighton Room 3 4:00 p.m. 579 Utilizing Large Language Models for Data Extraction from Construction Contracts: a Pathway to Generating Blockchain-Based Smart Contracts Erfan Moayyed (University of Florida)*; Chimay Anumba (University of Florida) BIM
Tuesday Julty 30th Brighton Room 3 4:15 p.m. 75 Improving Data and Process Management for Digital Twins: A Smart Contract-Driven Solution Integrating CDE and Blockchain for the Construction Industry Xuling Ye (Computing in Engineering, Ruhr-University Bochum)*; Liu Liu (Computing in Engineering, Ruhr-University Bochum); Markus König (Ruhr-Universität Bochum) BIM
Tuesday Julty 30th Brighton Room 3 4:30 p.m. 345 A Work Package-based Carbon-Reduction-Incentive Payment System Using Blockchain Juan WANG (THE UNIVERISITY OF HONG KONG)*; Xiao LI (The University of Hong Kong) BIM
Tuesday Julty 30th Brighton Room 3 4:45 p.m. 587 Enhancing User-Participatory Processes in Road Pavement Defect Management through Blockchain Integration Miyoung Uhm (Yonsei University); Suhyung Jang (Yonsei University); Yoojung Kim (Yonsei University); Ghang Lee (Yonsei University)* BIM
Computing in Construction Management
Wednesday July 31st Brighton Room 3 9:45 a.m. 595 Ontology for automated road construction progress monitoring Tirth Patel (University of Canterbury)*; Brian Guo (University of Canterbury); Jacobus Daniel van der Walt (University of Canterbury); Yang Zou (University of Auckland) BIM
Wednesday July 31st Brighton Room 3 10:00 a.m. 78 The Development of an Intelligence Search Web Application for the Construction Industry Anh D Chau (Florida Gulf Coast University)*; S M Jamil Uddin (Florida Gulf Coast University); Luke Accardo (Florida Gulf Coast University) BIM
Wednesday July 31st Brighton Room 3 10:15 a.m. 591 Impact of Algorithmic Sophistication on Collusive Pricing in Construction Bidding Chan Heo (Seoul National University)*; Moonseo Park (Seoul National University); Changbum Ahn (Seoul National University) BIM
Wednesday July 31st Brighton Room 3 10:30 a.m. 391 A Novel Multiplex Network-based Approach to Assessing Bidding Competitiveness in Low Bid Procurement Muhammad Ali Moriyani (North Dakota State University )*; Dr. Chau Le (North Dakota State University); harun pirim (NDSU-IME); Robert Le (Clemson University) BIM
Simulation in Construction
Wednesday July 31st Brighton Room 3 11:00 a.m. 83 Assessing the Environmental, Social, and Economic Values of Green Infrastructure Plans using Agent-Based Modeling and Monte Carlo Simulation Yasser Jezzini (New Jersey Institute of Technology); Rayan Assaad (New Jersey Institute of Technology)*; Michel Boufadel (New Jersey Institute of Technology) VIS
Wednesday July 31st Brighton Room 3 11:15 a.m. 84 Multi-Objective Optimization of the Environmental, Social, and Economic Benefits of Green Infrastructure: Enhancing Decision-Making using Pareto-Optimal Solutions Yasser Jezzini (New Jersey Institute of Technology); Rayan Assaad (New Jersey Institute of Technology)*; Meglena Mileva (New Jersey Institute of Technology) VIS
Wednesday July 31st Brighton Room 3 11:30 a.m. 269 Comparison of two simulation platforms based on learning and application experiences of a civil engineering trainee: SDESA vs. SIMPHONY Sebastian Olano (University of Alberta); Serhii SN Naumets (University of Alberta); Ming Lu (University of Alberta)*; Vicente A. Gonzales (University of Alberta) VIS
Wednesday July 31st Brighton Room 3 11:45 a.m. 343 A Policy-Driven Schedule Evaluation Methodology for Resource-Constrained Hard Rock Tunnel Projects Shuhan Yang (City University of Hong Kong); Jung In Kim (City University of Hong Kong)* VIS
Robotic Operations
Monday July 29th Ellwood 9:45 a.m. 60 Hierarchical Construction Task Decomposition and Robot Imitation Learning in an Immersive Virtual Reality Environment Hongrui Yu (University of Michigan)*; Xingqiao Zhu (University of Michigan); Carol C Menassa (Universiy of Michigan); Vineet Kamat (University of Michigan) AUT
Monday July 29th Ellwood 10:00 a.m. 107 Adaptive Intelligence for Robot Navigation Efficiency with a Deep-Reinforcement-Learning-Based Cyber-Physical System Xiayu Zhao (UIUC); Tianyu Ren (University of Illinois Urbana-Champaign); Houtan Jebelli (UIUC)* AUT
Monday July 29th Ellwood 10:15 a.m. 161 Automatic Construction Exoskeleton Gait Data Generation using Variational Autoencoders and Optimized Features for Human-Centric Exoskeleton Power Control Maryam Soleymani (Louisiana State University)*; Mahdi Bonyani (Louisiana State University); Chao Wang (Louisiana State University) AUT
Monday July 29th Ellwood 10:30 a.m. 205 Machine Learning based Optimization for Modular Robotic System in Construction: A review jiafei liu (University College London)*; Yuan Ping (University College London); Yujing Wang (University College London); Xiayu Zhao (UIUC) AUT
Robot Perception
Monday July 29th Ellwood 11:00 a.m. 27 Robotic Navigation and Obstacle Avoidance System for Advancing Attic Insulation Tianyu Ren (University of Illinois Urbana-Champaign); Houtan Jebelli (UIUC)* AUT
Monday July 29th Ellwood 11:15 a.m. 28 Developing an Advanced Perception System for Robotic Attic Insulation Using Large Vision-Language Models and LiDAR Tianyu Ren (University of Illinois Urbana-Champaign); Houtan Jebelli (UIUC)* AUT
Monday July 29th Ellwood 11:30 a.m. 486 Robotic Masonry Arch Construction Considering Object Recognition And Human-Robot Interaction Vahid Koliyaee (Kent State University)*; XiangXu Lin (Advanced Telerobotics Research Laboratory); Rui Liu (Kent State University); Jong Hoon Kim (Kent State University) AUT
Monday July 29th Ellwood 11:45 a.m. 243 Adaptive Robot Perception in Construction Environments using 4D BIM Mani Amani (San Diego state University ); Reza Akhavian (San Diego State University)* AUT
Remote Operations
Monday July 29th Ellwood 2:00 p.m. 127 Towards Autonomous Robotics in the Lunar Surface Construction: Integrating Inverse Reinforcement Learning and Human-Environment Interaction Minguk Kim (Texas A&M University); Youngjib Ham (Texas A&M University)* AUT
Monday July 29th Ellwood 2:15 p.m. 128 Teleoperation Performance and Operator Behaviors under Time-Delayed and Low-Quality Display in Lunar Construction Miran Seo (Texas A&M); Samraat Gupta (Texas A&M University); Youngjib Ham (Texas A&M University)* AUT
Monday July 29th Ellwood 2:30 p.m. 100 Neurofunctional Insights into Haptic and Visual Feedback Delays in Robot Teleoperation Tianyu Zhou (University of Florida); Yang Ye (University of Florida); Qi Zhu (NIST); Eric Du (University of Florida)* AUT
Monday July 29th Ellwood 2:45 p.m. 225 An Ontology-Based Framework for Goal-Oriented Natural Language Controlled Robotic Excavator Zirui Hong (Purdue University)*; Hubo Cai (Purdue University) AUT
Monday July 29th Ellwood 3:00 p.m. 130 A Gaze-Controlled Robotic Framework for Remote Site Inspection Juan C Cruz Rivera (University Of Texas at San Antonio); Xiaoyun Liang (The University of Texas at San Antonio); Ibukun G Awolusi (The University of Texas at San Antonio); Ao Du (The University of Texas at San Antonio); Jiannan Cai (The University of Texas at San Antonio)* AUT
Monday July 29th Ellwood 3:15 p.m. 302 Online Dynamic Object Detection on Construction Sites using SLAM and Occupancy Grids Yilong Chen (Georgia Institute of Technology)*; YeSeul Kim (Georgia Tech); Andrew Yarovoi (Georgia Institute of Technology); Seongyong Kim (Georgia Institute of Technology); Yong Cho (Georgia Institute of Technology) AUT
Robotic Mapping
Monday July 29th Ellwood 3:45 p.m. 431 LiDAR-based Traversability Estimation for Ground Robots on Construction Sites using Self-Supervised Learning Jinhee Yu (Mississippi State University)*; Swayamjit Saha (Mississippi State University); Monika Jayakumar (Mississippi State University); Mikias W Gugssa (Mississippi state university); Jingdao Chen (Mississippi State University); Jun Wang (Mississippi State University) AUT
Monday July 29th Ellwood 4:00 p.m. 81 Developing a Panoramic Thermography-enabled Quadruped Robotic 3D Thermal Mapping System: Moving towards Building Thermal Inspection using LiDAR-Based Digital Twins and Sensor Fusion Technologies Xi Hu (New Jersey Institute of Technology); Rayan Assaad (New Jersey Institute of Technology)* AUT
Monday July 29th Ellwood 4:15 p.m. 499 Automatic Robotic Map Generation by Integrating BIM and Project Schedule for Construction Robots Onsite Navigation Obiora J Odugu (Louisiana State University)*; Khan Muhammad (Louisiana State University); Chao Wang (Louisiana State University) AUT
Monday July 29th Ellwood 4:30 p.m. 422 Activity-based Space Selective Path Planning for UAVs by Leveraging 4D-BIM for Trajectory Optimization Parth K Bhadaniya (University of Florida)*; Masoud Gheisari (University of Florida) AUT
Monday July 29th Ellwood 4:45 p.m. 335 Developing BIM-based construction quality inspection of indoor building structures using mobile ground robotic and LiDAR Ying Lo (Xi'an Jiaotong-Liverpool University); Yun Cao (Xi'an Jiaotong-Liverpool University ); Xingyang Zhou (Xi'an Jiaotong-Liverpool University ); Cheng Zhang (Xi'an Jiaotong-Liverpool University)*; Hyungjoon Seo (University of Liverpool); Min Chen (Xi’an Jiaotong-Liverpool University) AUT
Robotic Construction
Tuesday Julty 30th Ellwood 9:45 a.m. 94 Multi-Robot Team Composition Optimization Modeling Robotic Construction Tasks as Cooperative Board Games Zaolin Pan (The Hong Kong University of Science and Technology); Yantao Yu (The Hong Kong University of Science and Technology)*; Bo Xiao (Michigan Technological University) AUT
Tuesday Julty 30th Ellwood 10:00 a.m. 596 Occlusion-Aware Object Detection for Worker Monitoring Using a Reinforcement Learning Approach with a Mobile Robot Jinsik Park (Seoul National University)*; Seong-Woo Kim (Seoul National University); Moonseo Park ( Seoul National University); Changbum Ahn (Seoul National University) AUT
Tuesday Julty 30th Ellwood 10:15 a.m. 253 A Unified Workflow for Enhanced Efficiency in 3D Concrete Printing Using 6DoF Robotic Arm Jorge Rojas (Purdue University); Sogand Hasanzadeh (Purdue University)* AUT
Tuesday Julty 30th Ellwood 10:30 a.m. 177 3D Scene Reconstruction Using Robotics and LiDAR Sensor Vincent Gan (NUS)* AUT
Tuesday Julty 30th Ellwood 11:00 a.m. 428 Exploring Classification Features of On-site Construction Robots Fangxiao Li (Pennsylvania State University)*; Robert Leicht (Pennsylvania State University) AUT
Tuesday Julty 30th Ellwood 11:15 a.m. 437 Intelligent “Wingman”: Enhancing Visual Awareness in Robotic Construction Processes Jia Xu (TEXAS A&M UNIVERSITY); Manish Dixit (Texas A&M University); Xi Wang (Texas A&M University)* AUT
Tuesday Julty 30th Ellwood 11:30 a.m. 152 Developing Process Models for Semi-Autonomous Construction Robot Assessment Ziyi Wang (Penn State University)*; Robert Leicht (Penn State University ) AUT
Tuesday Julty 30th Ellwood 11:45 a.m. 201 Rethinking building design for an era of mass robotization: A robot-minded space planning analysis enabled by IFC-represented RoboAvatar Junjie Chen (The University of Hong Kong)*; Weisheng Lu (The University of Hong Kong); Hengzhi Liu (Nanjing Zhuling Technology Co.,Ltd.) AUT
Exoskeleton for Worker Support
Tuesday Julty 30th Ellwood 2:00 p.m. 532 Exoskeleton Fall Risk Assessment: A Study of Peak Pressure and Foot Regions Akinwale Samuel Okunola (Myers Lawson School of Construction, Virginia Tech); Adedeji Afolabi (Virginia Tech); Abosede A Akanmu (Virginia Tech)*; Houtan Jebelli (UIUC) S7H
Tuesday Julty 30th Ellwood 2:15 p.m. 22 Understanding the Impact of an Exoskeleton System On Metabolic Cost of Workers During Common Repetitive Construction Tasks Amit Ojha (UIUC); Yogesh Gautam (UIUC); Xiayu Zhao (UIUC); Ali Sharifironizi (Robotic, Automation, and Intelligent Sensing (RAISe) Laboratory); Houtan Jebelli (UIUC)*; Anne Martin (Penn State) S7H
Tuesday Julty 30th Ellwood 2:30 p.m. 529 Effect of Active Back-Support Exoskeleton on Muscular Loading During Construction Work Adedeji Afolabi (Virginia Tech); Akinwale Samuel Okunola (Myers Lawson School of Construction, Virginia Tech); Anthony O Yusuf (Virginia Tech); Abosede A Akanmu (Virginia Tech)*; Houtan Jebelli (UIUC) S7H
Tuesday Julty 30th Ellwood 2:45 p.m. 549 Neuro-Muscular Assessment of Exoskeleton Use: A Correlation between Physiological, Psychological, and Subjective Evaluation Measures Anthony O Yusuf (Virginia Tech); Akinwale Samuel Okunola (Myers Lawson School of Construction, Virginia Tech); Adedeji Afolabi (Virginia Tech); Abosede A Akanmu (Virginia Tech)*; Houtan Jebelli (UIUC) S7H
Tuesday Julty 30th Ellwood 3:00 p.m. 487 Assessment of a Passive Shoulder-Support Exoskeleton for a Simulated Overhead Construction Work Adedeji Afolabi (Virginia Tech); Anthony O Yusuf (Virginia Tech); Abosede A Akanmu (Virginia Tech)* S7H
Tuesday Julty 30th Ellwood 3:15 p.m. 164 A Triangulated Study on Carpenters’ Adoption of Exoskeletons in the Northwest Indiana and Chicago Area Cheng Zhang (Purdue University Northwest)*; Raphael Cardamone-Rayner (Purdue University Northwest) S7H
Built Environment Well-being
Tuesday Julty 30th Ellwood 3:45 p.m. 31 Retrieval Augmented Generation (RAG) based Personalized Feedback for Construction Worker Well-being Yogesh Gautam (UIUC); Houtan Jebelli (UIUC)* S7H
Tuesday Julty 30th Ellwood 4:00 p.m. 322 Impact of workspace environmental features on occupant well-being: A naturalistic pilot study Jiaxuan Xu (Stanford University)*; Arash Tavakoli (Villanova University); Matthew J Jörke (Stanford University); Parker Ruth (Stanford University); Niklas Vainio (Stanford University); Paul Schmiedmayer (Stanford University); Sneha Jain (Stanford University); James Landay (Stanford University); Sarah Billington (Stanford University) S7H
Tuesday Julty 30th Ellwood 4:15 p.m. 554 Introducing a Surge-Based Conceptual Framework and Physical Layout Considerations for Addressing Respiratory Crisis Events in Hospitals Golnoosh Abdolahzadeh (University of Nebraska Lincoln)*; Jennifer I Lather (University of Nebraska-Lincoln) S7H
Tuesday Julty 30th Ellwood 4:30 p.m. 576 Parameter Adjustment for Mechanistic Epidemiological Models of COVID-19: Controlling for the Impact of Metro Area Crowding Michael Thomas (Georgia Tech); zhangding liu (GEORGIA INSTITUTE OF TECHNOLOGY); Neda Mohammadi (Georgia Tech); John E. Taylor (Georgia Tech)* S7H
Tuesday Julty 30th Ellwood 4:45 p.m. 39 A Preliminary Investigation for Understanding Temperature’s Associations with Office Workers’ Psychological Well-Being: A Close Look into Anxiety, Motivation and Concentration Mirmahdi Seyedrezaei (University of Southern California)*; Burcin Becerik-Gerber (University of Southern California); Shawn Roll (University of Southern California); Gale Lucas (University of Southern California) S7H
Data-Driven Construction Management
Wednesday July 31st Ellwood 9:45 a.m. 315 Enhancing Construction Equipment Activity Recognition Through Hybrid CNN-Based Data Fusion Abbas Mohammadi (University of Utah)*; SeyedeZahra Golazad (University of Utah); Abbas Rashidi (University of Utah) AI
Wednesday July 31st Ellwood 10:00 a.m. 320 Factors Affecting Knowledge Reuse in Project-Based Organizations: A Perspective from Knowledge Characteristics and Project Similarity Yangzhi Yan (Southeast University)*; Hongzhe YUE (Southeast University); Xiaowei WANG (University of Michigan) AI
Wednesday July 31st Ellwood 10:15 a.m. 157 Dynamic Allocation of Unionized Skilled Trades in Multi-Project Reactive Scheduling Context: Uber-Inspired Application Framework Xiaoteng Ge (University of Alberta); Ali Bayesteh (University of Alberta); Ming Lu (University of Alberta)*; Yasser Mohamed (University of Alberta) AI
Wednesday July 31st Ellwood 10:30 a.m. 597 Understanding Laser Pointer-Guided Spatial Instruction in Collaboration with Construction Robots Chaeeun Lee (Seoul National University)*; Sungboo Yoon ( Seoul National University); Moonseo Park ( Seoul National University); Changbum Ahn (Seoul National University) AI
Smart Education
Monday July 29th Haselton 9:45 a.m. 523 The impact of ChatGPT on construction education Bahareh Nejati (Virginia Tech)*; Nazila Roofigari-Esfahan (Virginia Tech) EDU
Monday July 29th Haselton 10:00 a.m. 557 Predicting moments of impasse in problem-solving using machine learning: a step to augment engineering learners’ capabilities Ivan Mutis (Illinois Institute of Technology)*; Gady Agam (Illinois Institute of Technology); Kristina Bauer (Illinois Institute of Technology); Xuanchang Liu (Illinois Institute of Technology ); Gai Hao (Illinois Institute of Technology) EDU
Monday July 29th Haselton 10:15 a.m. 111 The Rise of Artificial Intelligence in Construction Education: Insights from a Survey of US Faculty Jiun-Yao Cheng (University of Florida)*; Ajit Devkota (University of Florida); Masoud Gheisari (University of Florida); Idris Jeelani (University of Florida); Bryan Franz (University of Florida) EDU
Monday July 29th Haselton 10:30 a.m. 606 Teaching the Impact of Coordination on Construction Productivity: Game-based approach using Minecraft Justin KW Yeoh (National University of Singapore)*; Jing Qun Tan (National University of Singapore) EDU
Human Factors
Monday July 29th Haselton 11:00 a.m. 15 Demographics in Augmented Reality Research: An Exploratory Study Bing Han (University of Colorado Denver); Amelia Celoza (University of Colorado Boulder)* EDU
Monday July 29th Haselton 11:15 a.m. 480 Automaticity Diagnosis in Construction: A Longitudinal Study Using Attentional Measures Oluwaseun Olabode (Purdue University); Sylvester Onuchukwu (Purdue University); Behzad Esmaeili (Purdue University)*; Sebastien Helie (Purdue University) EDU
Monday July 29th Haselton 11:30 a.m. 267 Investigating Key Competencies for 3D Concrete Printing in Affordable Housing vida babajaniniashirvani (Virginia Tech)*; Kereshmeh Afsari (Virginia Tech); Andrew McCoy (Virginia Tech) EDU
Monday July 29th Haselton 11:45 a.m. 125 Studying Students’ Collaborative Problem-Solving Behaviors in Online Construction Site Visits Yuan Sun (University of Florida)*; Parth K Bhadaniya (University of Florida); Ricardo Eiris (Arizona State University); Masoud Gheisari (University of Florida) EDU
Training Through Virtual Reality
Monday July 29th Haselton 2:00 p.m. 520 Integration of Virtual Reality (VR) based active-learning modules on enhancing construction management learning in higher education institutions Hariharan Naganathan (Wentworth Institute of Technology)*; Rahimi A. Rahman (Universiti Malaysia Pahang Al-Sultan Abdullah) EDU
Monday July 29th Haselton 2:15 p.m. 20 Advancing Construction Robotics Learning Through Virtual Reality: A User Experience and Usability Study Amit Ojha (UIUC); Yuming Zhang (UIUC); Shayan Shayesteh (Pennsylvania State University); Ali Sharifironizi (RAISe Laboratory); Houtan Jebelli (UIUC)*; Abosede A Akanmu (Virginia Tech) EDU
Monday July 29th Haselton 2:30 p.m. 24 Evolving Construction Robotics Training: Embracing Virtual Reality for Effective Wearable Robot Use in Construction Yuming Zhang (UIUC); Shayan Shayesteh (University of Illinois Urbana-Champaign); Houtan Jebelli (UIUC)* EDU
Monday July 29th Haselton 2:45 p.m. 280 Developing Virtual Reality Workflow for Panelized Construction Assembly Training Yogeeswaran Kantheepan (University of British Columbia - Okanagan Campus)*; Qian Chen (UBC Okanagan campus); Borja Garcia de Soto (New York University Abu Dhabi); Zheng Liu (University of British Columbia) EDU
Monday July 29th Haselton 3:00 p.m. 604 Focus-Four Construction Safety Hazards Decision Making and Learning Through Virtual Reality Game Omar S Snosi (Texas State university ); Krishna Kisi (Texas State University)* EDU
Monday July 29th Haselton 3:15 p.m. 427 Designing Augmented Information Strategies for Immersive Procedural Learning Xiaohui Wang (Penn State University)*; John Messner (Penn State University) EDU
Drone Operations & Applications
Monday July 29th Haselton 3:45 p.m. 103 Decoding AI Valuation in Drone Controls Bowen Sun (University of Florida); Jiahao Wu (University of Florida ); Eric Du (University of Florida)* AUT
Monday July 29th Haselton 4:00 p.m. 104 Dynamic Importance Weights in Reinforcement Learning for Drone Swarms in Search and Rescue Jiahao Wu (University of Florida ); Bowen Sun (University of Florida); Eric Du (University of Florida)* AUT
Monday July 29th Haselton 4:15 p.m. 133 Quantitative Assessment of Drone Presence on Worker Safety in Construction Environments Wei Han (University of Wisconsin - Madison); Liqun Xu ( University of Wisconsin - Madison); Fei Dai (West Virginia University); Wei-Yin Loh ( University of Wisconsin - Madison); Liangzhu (Leon) Wang (Concordia University); Zhenhua Zhu (University of Wisconsin - Madison)* AUT
Monday July 29th Haselton 4:30 p.m. 432 Interplay of Drones, Construction Tasks, and Worker Stress in Future Construction Environment WOEI-CHYI CHANG (Purdue University); Shiva Pooladvand (PURDUE UNIVERSITY); Behzad Esmaeili (Purdue University); Sogand Hasanzadeh (Purdue University)* AUT
Monday July 29th Haselton 4:45 p.m. 38 Establishing Safe Human-Drone Communication for General Construction Workers Zixian Zhu (University of Florida)*; Idris Jeelani (University of Florida); Masoud Gheisari (University of Florida) AUT
Simulated Processes
Tuesday Julty 30th Haselton 9:45 a.m. 98 Integrating Pedestrian Simulation into Early Building Design: A Deep Learning Approach for Trajectory Prediction Patrick Berggold (Technical University of Munich)*; Stavros Nousias (Technical University of Munich); André Borrmann (Technical University of Munich) VIS
Tuesday Julty 30th Haselton 10:00 a.m. 54 Symbolic Dynamics Coarse-Graining Approach for Analysing Traffic Flow Dynamics in Complex Road Networks Under Flooding Xuhui Lin (The Bartlett School of Sustainable Construction, University College London)*; Qiuchen Lu ( The Bartlett School of Sustainable Construction, University College London); Yi An (School of Engineering, Cardiff University); Nanjiang Chen (Department of Industrial Engineering, Tsinghua University); Tim Broyd (The Bartlett School of Sustainable Construction, University College London); Michael Pitt (The Bartlett School of Sustainable Construction, University College London) VIS
Tuesday Julty 30th Haselton 10:15 a.m. 233 Enhancing the storage assignment process of deconstructed equipment for reuse with agent-based simulation Seungah Suh (The University of Texas at Austin)*; Kasey Faust ( The University of Texas at Austin); Christopher Rausch (The University of Texas at Austin) VIS
Tuesday Julty 30th Haselton 10:30 a.m. 459 A Discrete Event Simulation Framework for Lunar Launch and Landing Pad Construction Chinedu Okonkwo (The University of Texas at San Antonio); Ibukun G Awolusi (The University of Texas at San Antonio)*; Sazzad Shafique (The University of Texas at San Antonio); Sam Ximenes (Astroport Space Technologies); Barney Gorin (GoVentures); Joe Redfield (Redfield Consulting Services); Codie Petersen (Asteres Technologies) VIS
Visualization Innovation
Tuesday Julty 30th Haselton 11:00 a.m. 490 Empowering AEC Innovation with Computational Co-Design on Omniverse Rui Liu (Kent State University)*; Vahid Koliyaee (Kent State University); Farimah Raisali (Kent State University) VIS
Tuesday Julty 30th Haselton 11:15 a.m. 289 Physics-Based Earthquake Scene Simulation in Virtual Reality Kuanshi Zhong (University of Cincinnati); Bing Han (University of Colorado Denver)* VIS
Tuesday Julty 30th Haselton 11:30 a.m. 421 Exploring the Feasibility of Adopting Virtual Reality as an Alternative Risk Communication Method for Natural Hazards Tolulope Sanni (University of Alabama); Biao Kuang (University of Utah); Jianli Chen (University of utah); Wanyun Shao (University of Alabama); Mingxi Liu (University of Utah); Jun Liu (University of Alabama); Yangming Shi (Colorado School of Mines)* VIS
Tuesday Julty 30th Haselton 11:45 a.m. 439 Design and evaluation of visualization techniques to facilitate urban façade inspection Zhuoya Shi (New York University)*; Semiha Ergan (New York University) VIS
Modular & Industrialized Construction
Tuesday Julty 30th Haselton 2:00 p.m. 183 Generative Design Effectiveness-Constructability Tradeoff of Panelized Prefabricated Buildings Hisham Said (Santa Clara University)*; Stuti Parikh (Santa Clara University) VIS
Tuesday Julty 30th Haselton 2:15 p.m. 154 Product Complexity Analysis of Hybrid Panelized-Volumetric Prefabricated Buildings Jianpeng Cao (TU Delft)*; Hisham Said (Santa Clara University); Daniel Hall (TU Delft) VIS
Tuesday Julty 30th Haselton 2:30 p.m. 371 Simulation-based lot size comparison for production planning in lean modular integrated construction manufacturing Zhongze Yang (The University of Hong Kong)*; Weisheng Lu (The University of Hong Kong) VIS
Tuesday Julty 30th Haselton 2:45 p.m. 370 An Optimization-based Trajectory Planning Method for Automated Module Lifting in Modular Integrated Construction Qiqi ZHANG (The University of Hong Kong)*; Wei PAN (The University of Hong Kong); Ruopan HUANG (The University of Hong Kong); Zhiqian Zhang (The University of Hong Kong) VIS
Tuesday Julty 30th Haselton 3:00 p.m. 129 Enhancing Modular Construction Supply Chain Resilience by Disruption-Aware Buffer Zone Planning Zhiming DONG (The University of Hong Kong)*; Weisheng Lu (The University of Hong Kong) VIS
Tuesday Julty 30th Haselton 3:15 p.m. 363 Digitalizing volumetric module transport process for modular integrated construction Zhenjie ZHENG (The University of Hong Kong)* VIS
Tuesday Julty 30th Haselton 3:45 p.m. 200 Towards more stable and flexible configuration: Code agent for floorplan generation in modular buildings Yinyi Wei (The University of Hong Kong)*; Xiao LI (The University of Hong Kong); Chengke Wu (Shenzhen Institute of Advanced Technologies, Chinese Academy of Science) VIS
Tuesday Julty 30th Haselton 4:00 p.m. 242 Knowledge Embedded Human-Machine Adaptation for Supporting Efficient Operations of Building Manufacturing Systems Ruoxin Xiong (Carnegie Mellon University); Miaosi Dong (Carnegie Mellon Univeristy); Haoming Jing (Carnegie Mellon University); Yorie Nakahira (Carnegie Mellon University); Pingbo Tang (Carnegie Mellon University)* VIS
Tuesday Julty 30th Haselton 4:15 p.m. 134 Machine Learning-based Ultra-wideband Non-line-of-sight Identification for Crane-lift Positioning in Modular Integrated Construction Aimin Zhu (The University of Hong Kong)*; Wei Pan ( The University of Hong Kong); Zhiqian Zhang (The University of Hong Kong); Qiqi ZHANG (The University of Hong Kong) VIS
Tuesday Julty 30th Haselton 4:30 p.m. 384 Enhancing Quality Control in Modular Integrated Construction: Integrating Point Cloud Data with Scan-vs-BIM Technology Qianchen Sun (The Hong Kong Polytechnic University)*; Xiao LI (The University of Hong Kong); Geoffrey Qiping Shen (The Hong Kong Polytechnic University) VIS
Tuesday Julty 30th Haselton 4:45 p.m. 377 Explainable Production Time Prediction of Customized Building Components with Imbalanced Production Histories Miaosi Dong (Carnegie Mellon Univeristy); Ruoxin Xiong (Carnegie Mellon University); Pingbo Tang (Carnegie Mellon University)*; Burcu Akinci (Carnegie Mellon University) VIS
Innovations in Structures
Wednesday July 31st Haselton 9:45 a.m. 272 Accelerating Structural Topology Optimization for Subtractive Building Materials Reuse Jing Zhang (University of Waterloo)*; Carl Haas (University of Waterloo) VIS
Wednesday July 31st Haselton 10:00 a.m. 156 Matching Reused Elements to Structural Designs for Steel Reuse Soheila Kookalani (University of Cambridge)*; Erika Parn (University of Cambridge); Ioannis Brilakis (University of Cambridge); Peihang Luo (University of Cambridge); Hamidreza Alavi (University of Cambridge); MUDAN WANG (University of Cambridge) VIS
Wednesday July 31st Haselton 10:15 a.m. 43 Production System Configurator for Mass Timber Supply and Construction Rafael V. Coelho (University of California, Berkeley)*; Iris D. Tommelein (University of California Berkeley); Eric Marshall (Timberlab Inc.); Aaron Anderson (Swinerton Inc.) VIS
Wednesday July 31st Haselton 10:30 a.m. 241 A simple tying method for overlapping finite element meshes in design support systems Herm Hofmeyer (Eindhoven University of Technology)*; Sanne Van der Wal (Witteveen + Bos); Sjonnie Boonstra (EPFL); Pieter Pauwels (Eindhoven University of Technology) VIS
Human Factors in Training
Wednesday July 31st Haselton 11:00 a.m. 483 Gender Differences Assessment in Tower Crane Teleoperation: Experimental Design Mohammad Hossein Kazemi (The Pennsylvania State University); Yi Wu (The Pennsylvania State University); Scarlett R. Miller (The Pennsylvania State University); Yuqing Hu (Penn State University)* EDU
Wednesday July 31st Haselton 11:15 a.m. 448 Exploring Individual Variances In Learning Process During Immersive Safety Training For Construction: A Comprehensive Review of VR/AR-Based Safety Training Niloy Das (University of Nevada Las Vegas); Jeehee Lee (University of Nevada Las Vegas)*; Namgyun Kim (Texas A&M University) EDU
Wednesday July 31st Haselton 11:30 a.m. 235 Novel Virtual Reality Interactive System for Training Construction Workers to Mitigate Fall Hazards Ammar Alzarrad (Marshall University)*; Sudipta Chowdhury (Marshall University); Ahmed Jalil Al-Bayati (Lawrence Technological University ) EDU
Bridge Structural Health Monitoring
Wednesday July 31st Ellwood 11:00 a.m. 301 Computer Vision-based Defect Detection and Evaluation for Automatic Inspection and Condition Rating of Concrete Bridges Zhe Sun (Beijing University of Technology)*; Junbo Li (Beijing University of Technology); Guangming Wang (Center of Science and Technology & Industrialization Development (Center of Housing Industrialization) Ministry of Housing and Urban-Rural Development of the P.R. China); Zhansheng Liu (Beijing University of Technology) AI
Wednesday July 31st Ellwood 11:15 a.m. 303 Impact Analysis of Spatiotemporal Data Processing Parameteres on Bridge Deformation Detection Zhe Sun (Beijing University of Technology)*; Pinyao Liu (Beijing University of Technology); Xiaolin Meng (Beijing University of Technology); Yan Bao (Beijing University of Technology); Liangliang Hu (Beijing University of Technology) AI
Wednesday July 31st Ellwood 11:30 a.m. 305 A Digital Twin-based Framework for Intelligent Operation and Maintenance of Urban Bridges Zhe Sun (Beijing University of Technology)*; Shengyao Liu (Beijing University of Technology); Zhansheng Liu (Beijing University of Technology); Guangming Wang (Center of Science and Technology & Industrialization Development (Center of Housing Industrialization) Ministry of Housing and Urban-Rural Development of the P.R. China); Tianlei Wang (The Administrative Committee of Xian Yanliang National Aviation Hi-Tech Industrial Base) AI
Wednesday July 31st Ellwood 11:45 a.m. 309 Human-in-the-loop Process Modeling using Formal Method for Spatiotemporal Data-based Crack Detection of Concrete Structures Zhe Sun (Beijing University of Technology)*; Sihan Zhao (Beijing University Of Technology); Yan Bao (Beijing University of Technology); Xiaolin Meng (Beijing University of Technology); Dongliang Zhang (Beijing University of Technology) AI
Point Cloud Processing and Application
Wednesday July 31st Grand Station 5 11:00 a.m. 414 Enhancing Drone-Based LiDAR Scanning with Deep Learning for Error Correction Jinwu Xiao (Purdue University); shufan liu (purdue university); Kyubyung Kang (Purdue University)* BIM
Wednesday July 31st Grand Station 5 11:15 a.m. 566 Scan-vs-BIM based Automated Progress Monitoring for a Complex Indoor Facility Sangyoon Park (Yonsei university); Fernanda Leite (The University of Texas at Austin); Jong Won Ma (Concordia University)* BIM