Chao Fan received bachelor's degree of Computer Engineering in University of Minnesota, USA. Received master's degree of Computer Science in New York University, USA. Currently a PhD student in the Mechanical Engineering department. Research interests are ergonomics, occupational safety and computer vision/machine learning.

Jiangyu received his bachelor's degree in Civil Engineering from the University of Manitoba in 2019. He then moved to the University of Alberta to pursue an MSc degree in Structural Engineering with Dr. Qipei Mei and Dr. ‪Mustafa Gül. His master's thesis was about International Roughness Index (IRI) estimation using deep learning and computer vision. He is now a PhD student at the University of Alberta.

Hao Xie received his bachelor’s degree in city underground space engineering and his master’s degree in civil engineering from Harbin Institute of Technology in 2017 and 2020, respectively. He is currently a PhD student in structural engineering at the University of Alberta. His interest includes building structural design automation.

Xiang received her Master of Science in Digital Engineering Management from University College London. Her previous research directions include Digital Twin platform development, data-integrated solutions improving project performance, and applying Smart Contracts in infrastructure procurement. She is pursuing a Doctor of Philosophy in Engineering Management. Her current research mainly focuses on using Augmented Reality in the construction industry. The project is expected to develop a data-enabled skill training and safety-conscious enhanced platform from the practical meaning. And it will contribute to the theory development for safety management and worker-oriented engineering management utilizing computer vision and artificial intelligence.

Sida Ai received his bachelor degree in Civil Engineering form Xiangtan University, China. Then, he obtained his master degree in Architecture and Civil Engineering form Central South University, China. Now he is a PhD student in Structure Engineering under the supervision of Dr. Qipei Mei with the support of China Scholarship Council and University of Alberta. His future research area is the application of artificial intelligence in health monitoring.

Hui (Polo) Zuo received his bachelor's degree in Civil Engineering from Changsha University of Science and Technology, China, in 2019 and his master's degree in Bridge Engineering from Hunan University, China, in 2022. His master's thesis was about intelligent detection of structural damage based on infrared thermography and deep learning. Currently, he is a PhD student at the University of Alberta and will conduct research on remote construction site inspection through robotics and Mixed Reality (MR) technology.

Mohammad is a motivated Ph.D. student in the department of Civil and Environmental Engineering at the University of Alberta. He joined the Smart Infrastructure TEchnologies (SITE) Lab in January 2022 as a visiting scholar and then transferred his Ph.D. studies from Sharif University of Technology (SUT) to the University of Alberta in January 2023. Mohammad is currently conducting innovative research on using mobile sensor data for the intelligent monitoring of bridge structures under the supervision of Professor Mei. With a passion for structural engineering and a commitment to excellence, Mohammad boasts a strong academic background, consistently getting a 4/4 GPA throughout his all university studies. He was a first-rank student in Civil Engineering at Amirkabir University of Technology in Iran and received a silver medal in the National Olympiad of Civil Engineering (in 2015), recognizing his hard work and dedication. Mohammad then received his master's degree in Structural and Earthquake Engineering at SUT (in 2017), where he developed a cutting-edge method for semi-active control of structures under earthquake excitation. He also continued his academic success as a Ph.D. student in Structural Engineering at SUT, where he has been working on vibration-based Structural Health Monitoring (SHM) of structures using vision sensors.

Beilei Ji received her master’s degree in Petroleum and Natural Gas Engineering from the China University of Petroleum (Beijing) in 2022. Her previous research was about structural safety analysis of pipelines in the geohazards area, including monitoring data analysis, ABAQUS simulation, intelligent pipeline model construction, etc. She is pursuing Ph.D. in Structural Engineering with Dr. Qipei (Gavin) Mei and Dr. Samer Adeeb at the University of Alberta. Her future research mainly focuses on stress and strain-based reliability assessment of pipelines subjected to permanent ground movement.

Zhong Wang, PhD in Civil Engineering, University of Alberta. I am currently working on the project of developing and validating an integrated smart project management tool for Real-Time Decision-Making in project monitoring and control.

Yuezhen Gao received her master’s degree in Mechanical Engineering from Jilin University in June, 2023. Currently, she is pursuing her Ph.D. degree under the supervision of Dr. Qipei Mei in the Department of Civil and Environmental Engineering. Her research interests include applying robotic perception and computer vision methods to improve automation in construction.

Yisshak Gebretekle holds a Master of Science in Construction Management and Engineering from the University of Alberta (2023) and another Master of Science in Structural Engineering from Addis Ababa University, Ethiopia (2015). He graduated top of his class with a Bachelor of Science in Civil Engineering from Addis Ababa University (2012). Professionally, Yisshak has served as a Graduate Research Assistant at the University of Alberta, where he developed the Digitalization Opportunities Road Mapping Tool (DORMT©) for the Construction Owners Association of Alberta (COAA). He also worked as a Structural Design Review Team Member and Assistant Resident Engineer at the Addis Ababa Institute of Technology, contributing to the structural design review of various complex structures. Additionally, he has experience as a Lecturer in the Chair of Concrete Materials and Structures at the same institution. Currently, he is pursuing his PhD with a research focus on the application of AI in structural design, aiming to bring innovative solutions to contemporary engineering challenges.

​Yusen Jiao received his bachelor's degree in Mathematics and master's degree in Systems Design Engineering from the University of Waterloo. His master's thesis focused on data-centric machine learning. Currently, he is pursuing his Ph.D. under the supervision of Dr. Qipei Mei in the Department of Civil and Environmental Engineering. His research interests involve applying large language models (LLMs) and computer vision techniques to enhance automation in construction.

Huyue Li is a PhD student specializing in robot simulation, Sim-to-Real transfer, and embodied intelligence. His research explores how advanced robot learning and AI-driven systems can enable intelligent, adaptive robots for engineering and real-world applications. He holds a Master’s degree in Computer Science from the University of Alberta and a Bachelor’s degree from Anhui University.