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PhD Students

Qibin Hu (co-supervised with Dr. Ying Hei Chui)

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Qibin Hu received his undergraduate degree in Wood Science and Engineering from Nanjing Forestry University in China. Then, he did his master's program in Forestry Engineering at Beijing Forestry University. He is now a PhD student in civil engineering (cross-disciplinary) at the University of Alberta. His PhD work focuses on the application of artificial intelligence in the design of wood structures.

Chao Fan (co-supervised with Dr. Xinming Li)


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 Zeng (co-supervised with Dr. ‪Mustafa Gül‬)


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.

Mostafa Hassan (co-supervised with Dr. ‪Lindsey Westover)


​Mostafa has been immersed in Mechanical engineering for over a decade now. Having received his B.Sc. and M.Sc. degrees from Cairo University, Giza, Egypt, in 2013 and 2019, respectively, he worked concurrently as a research and teaching assistant with the Department of Mechanical Design and Production in Cairo University’s Faculty of Engineering. In 2019, he was promoted to Lecturer Assistant at the same institution. Now he is working towards his Ph.D. at the University of Alberta, focusing on key research areas that include biomechanics, computer vision with application to Scoliosis, and deep learning.

Hao Xie (co-supervised with Dr. ‪Ying Hei Chui)


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 Yuan (co-supervised with Dr. ‪Xinming Li)


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.

Hui (Polo) Zuo

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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.

Sida Ai

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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.

Mohammad Talebi Kalaleh


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.

MSc Students

Zahra Hassani


Zahra Hassani is now an MSc student in Structural Engineering. She received her Bachelor's degree in Civil Engineering from Razi University in Iran. She will conduct research on the application of data-driven methods on structural health monitoring.

Samia Zakir Sarothi (co-supervised with Dr. Ying Hei Chui)


I was born in Dhaka, Bangladesh. I completed my undergraduate degree in civil engineering from Bangladesh University of Engineering & Technology (BUET) with structure as major and geo-tech as minor. After graduation, I joined as a lecturer in a private university of my country. Also, I started my M.Sc. in Civil and Structural engineering at BUET in 2018. My M.Sc. thesis is focused on experimental study of self-driven screw connection under tensile loading. My research interest is mainly focused on experimental and numerical study of steel connection under various loading condition. Also, I have experience in application of artificial intelligence (AI) and machine learning (ML) in steel joint design. At my last work place, Military Institute of Science and Technology (Dhaka, Bangladesh), I got an opportunity to work on the application of machine learning (ML) on double shear bolted joints. I really enjoyed working with the machine learning techniques and hopefully in future I can get more such chances

Mohammed Al-Duais


I received my BSc in Civil Engineering from King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. with a CGPA of 3.7/4.0 with a second distinction. During my undergraduate studies, I took courses focusing on structural engineering such as steel design 1, reinforced concrete design 1, and reinforced concrete design 2.I learned HTML, python, and C++ as I am very passionate about programming. Currently, my focus is machine learning and its applications in civil engineering.

Yuchen Qian


Yuchen Qian received her bachelor's degree in Civil Engineering from the Northeast Petroleum University in June 2021 and enrolled MEng program at the University of Alberta in September 2021, currently she is an MSc student in Structural Engineering at the University of Alberta and search the structure vibration monition. 

Farshid Heshmati


My name is Farshid Heshmati, I started my second master's degree in structural engineering in Sep 2022 at the University of Alberta. I defended my previous master's degree in construction engineering in Dec 2021 and accomplished my bachelor's degree years ago. I have my professional experience in the oil and gas industry for ten years. As a pipeline engineer, I designed gas stations (PCS, LBV, Launcher and Receiver Stations), Cross sections and Project lines, Iso-metric drawings, Pipeline Hydrostatic Calculations for gas pipeline projects, such as 67 km of Iran-Turkey IGAT9, and 136 km of Iran_Iraq IGAT6. My research activities three years ago resulted in two journal papers in the field of pipeline design(LBV, PCS, luncher and Receiver).

Farshid Heshmati

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Muhammad Adil is an MSc Civil Engineering student at the University of Alberta. He joined the SITE Research group in May 2023, to focus on Mobile Robotics in Construction research. Mr. Adil completed his Bachelor's in Civil Engineering at the University of Engineering & Technology, Pakistan, in August 2022, where his thesis was about the Applications of AI in Civil Engineering.

Visiting Scholars

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