Department of Civil Engineering
College of Engineering and Computer Science
The University of Texas Rio Grande Valley (UTRGV)
📪 1201 W. University Dr., EIEAB 3.237, Edinburg, TX 78539.
☎ (956) 665-5880
Ph.D., Structural Engineering, the City University of New York (CUNY), USA, 2019.
M.Phil., Civil Engineering, the City University of New York (CUNY), USA.
M.Sc., Earthquake Engineering, International Institute of Earthquake Engineering and Seismology (IIEES), Iran.
B.Sc., Civil Engineering, Razi University, Iran.
Dr. Mohsen Amjadian is an Assistant Professor of Structural Engineering at the Department of Civil Engineering of the University of Texas Rio Grande Valley (UTRGV) the member of the University of Texas System. Before joining UTRGV, he worked as a post-doctoral fellow at the City University of New York (CUNY) where he pursued his research on application of electromagnetic energy harvesting systems in transportation infrastructures from 2019 to 2021. Dr. Amjadian obtained his Ph.D. degree in Civil Engineering from the City University of New York (CUNY) in 2019, his master's degree in Earthquake Engineering from the International Institute of Earthquake Engineering and Seismology (IIEES), Tehran, Iran, and his bachelor's degree in Civil Engineering from the Razi University, Kermanshah, Iran.
1. Structural Dynamics and Control
Passive and Semi-active Damping Systems (Friction damper, Viscous fluid damper, MR damper, and Tuned mass damper)
Vibration Isolation Systems
Smart Materials and Systems
2. Structural Health Monitoring
Damage Detection and Identification (Highway bridges and Railroad bridges)
3. Energy Harvesting
Electromagnetic Energy Harvesters
Piezoelectric Energy Harvesters
4. Artificial Intelligence and Machine Learning
Machine Learning Classifiers (Damage detection)
Artificial Neural Network (Time series prediction)
5. Computational Modeling and Analysis of Structural Systems subjected to Multi-Hazard and Extreme Events
Graduate Research Assistants
Title: GA Student - [Class of 2023]
Research Topic: Data Driven Methods for Load Rating of Railroad Bridges
Mahesh completed his B.Sc. in Civil Engineering and M.Sc. in Structural Engineering in Tribhuvan University, Nepal. He has more than 7 years hands-on experience with different organizations in Nepal in the civil engineering field mostly dealt with earthquake engineering. He received the Presidential Research Fellowship (PRF) award from the University of Texas Rio Grande Valley in 2021. His research interest includes dynamic analysis, design, testing and evaluation of structures focusing on load rating and structural analysis of railroad bridges and highway bridges. He is interested in numerical modeling for structural analysis, data processing with a focus on machine learning methods.
Md. Masnun Rahman
Title: GA Student - [Class of 2024]
Research Topic: Damage Detection in Railroad Bridges using Machine Learning Methods
Masnun has completed his B.Sc. in Civil and Environmental Engineering from Shahjalal University of Science and Technology, Bangladesh. During his undergraduate, he gained research experience on construction materials and structural engineering. He has work experience in construction management and project implementation on different types of structures for more than two years. He will be working as a Graduate Research Assistant and will be pursuing his MS degree in Civil Engineering from the University of Texas Rio Grande Valley. He is interested to work on structural dynamic analysis & structural health monitoring. He will be working on machine learning methods for structural health prediction, numerical analysis of railroad bridges, and use the methods of data sciences in various aspects of structural analysis.
Syed Muhammad Bilal Haider
Title: GA Student - [Class of 2024]
Research Topic: Tuned Mass Damper with Frictional Effects
Bilal had finished his Master's by Research in Structural Engineering from Malaysia. He completed his undergraduate studies in Urban Engineering at NED University of Engineering and Technology, Pakistan. Bilal was involved in teaching at DHA Suffa University, Pakistan from Nov 2021 - Aug 2022. He had worked for almost 3 years (i.e., July 2017 – March 2020) as a Research Assistant (Full-time) at Universiti Tunku Abdul Rahman (UTAR), Malaysia. In addition, he also served as Research Assistant (Part-time) from Apr 2020 – Oct 2021 during the pandemic. He had nine (9) research publications in the last four years. He received Universiti Tunku Abdul Rahman Research Fund (UTAR-RF), Malaysia, and currently holds a Graduate Research Assistantship position at UTRGV. Bilal is currently working on the topic "Tuned Mass friction damper for seismic protection of multistory buildings and energy harvesting". He is interested in assessing the effectiveness of a tuned mass friction damper (TMFD) in suppressing the dynamic response of the structure.
Undergraduate Research Assistants
Wai Y. Tun
Title: UG Student - [Class of 2025]
Research Topic: Harvesting Electric Energy from Vibration of Railway Bridges
Wai is a senior year undergraduate student in Civil Engineering at the University of Texas at Rio Grande Valley. He has been an active member of ASCE (American Society of Civil Engineers) Student Chapter Surveying Team. His primary research areas are sustainability and energy harvesting related to structural vibration. Currently, he is working on the design and the mechanical properties of an energy harvester which is used to convert the vibration energy of railway structures to electric energy
Title: UG Student - [Class of 2024]
Research Topic: FE Modeling of a Scaled Railroad Steel Truss Bridge
Rudy is currently an undergraduate student who has previously been a research assistant. He has previously been part of the ASCE (American Society of Civil Engineers) and competes alongside colleagues in steel bridge competition which deals with design and construction of a bridge to determine how much weight the bridge can withstand. He is interested to work on structural dynamic analysis & structural health monitoring. He will be working on railroad truss bridge research.