Alireza Fath

Lecturer, Department of Mechanical Engineering

alireza.fath@uvm.edu
Dr. Alireza Fath
alireza.fath@uvm.edu

201F Votey Hall
33 Colchester Ave
Burlington, VT 05405
United States
LinkedIn profile
Dr. Fath's personal website
Alma mater(s)
  • Ph.D., University of Vermont
Affiliated Department(s)

Department of Mechanical Engineering

American Society of Mechanical Engineers

Area(s) of expertise

Cyber-Physical Systems, Structural Health Monitoring, Swarm Robots, Control, Dynamics, Machine Learning, Augmented Reality, Computational Mechanics, Solid Mechanics, Numerical Simulation

BIO

Alireza Fath has been a Lecturer in the Department of Mechanical Engineering at the University of Vermont since 2025. He earned his Ph.D. in Mechanical Engineering from UVM and subsequently completed postdoctoral research in the department, where he integrated robotics, augmented reality, computer vision, and machine learning into cyber–physical systems for structural health monitoring. His work spans swarm robotics, human–robot collaboration, and advanced sensing for structural assessment, with applications in home and structural maintenance. He is committed to training students to advance engineering technologies that deliver practical solutions to real‑world challenges.

Courses

ME 6120 - Advanced Dynamics
ME 5520 - Computational Solid Mechanics
ME 3990 - Computational Solids Engr
ME 2111 - Materials and Mechanics Lab
ME 1140 - Mechanics of Solids

Publications

Dr. Fath's Google Scholar Profile

Awards and Achievements

  • Outstanding Doctoral Dissertation Award
  • Selected as 2025 NSF Cyber-Physical System Rising Star
  • Awarded Mechanical Engineer Graduate Research Award for excellence in performance and greatest promise of success by the UVM College of Engineering and Mathematical Sciences

Bio

Alireza Fath has been a Lecturer in the Department of Mechanical Engineering at the University of Vermont since 2025. He earned his Ph.D. in Mechanical Engineering from UVM and subsequently completed postdoctoral research in the department, where he integrated robotics, augmented reality, computer vision, and machine learning into cyber–physical systems for structural health monitoring. His work spans swarm robotics, human–robot collaboration, and advanced sensing for structural assessment, with applications in home and structural maintenance. He is committed to training students to advance engineering technologies that deliver practical solutions to real‑world challenges.

Courses

ME 6120 - Advanced Dynamics
ME 5520 - Computational Solid Mechanics
ME 3990 - Computational Solids Engr
ME 2111 - Materials and Mechanics Lab
ME 1140 - Mechanics of Solids

Publications

Dr. Fath's Google Scholar Profile

Awards and Achievements

  • Outstanding Doctoral Dissertation Award
  • Selected as 2025 NSF Cyber-Physical System Rising Star
  • Awarded Mechanical Engineer Graduate Research Award for excellence in performance and greatest promise of success by the UVM College of Engineering and Mathematical Sciences

Recent Journal Articles:

  • A. Fath, C. Sauter, Y. Liu, B. Gamble, D. Burns, E. Trombley, SKR. Sathi, T. Xia, D. Huston, (2025). HeSARIC: A Heterogeneous Cyber–Physical Robotic Swarm Framework for Structural Health Monitoring with Augmented Reality Representation. Micromachines, 16, 460. https://www.mdpi.com/2072-666X/16/4/460 
     
  • S. Tanch, A. Fath, N. Hanna, T. Xia, D. Huston, (2025). GPR Sensing and Visual Mapping Through 4G-LTE, 5G, Wi-Fi HaLow, and Wi-Fi Hotspots with Edge Computing and AR Representation. Applied Sciences, 15, 6552. https://www.mdpi.com/2076-3417/15/12/6552 
     
  • A. Fath, N. Hanna, Y. Liu, S. Tanch, T. Xia, D. Huston, (2024). Indoor Infrastructure Maintenance Framework Using Networked Sensors, Robots, and Augmented Reality Human Interface. Future Internet, 16, 170. https://www.mdpi.com/1999-5903/16/5/170 
     
  • A. Fath, Y. Liu, T. Xia, D. Huston, (2024). MARSBot: A Bristle-Bot Microrobot with Augmented Reality Steering Control for Wireless Structural Health Monitoring. Micromachines, 15, 202. https://www.mdpi.com/2072-666X/15/2/202 
     
  • A. Fath, Y. Liu, S. Tanch, N. Hanna, T. Xia, D. Huston, (2023). Structural Health Monitoring with Robot and Augmented Reality Teams. Structural Health Monitoring 2023. https://doi.org/10.12783/shm2023/36979 
     
  • A. Fath, T. Xia, W. Li, (2022). Recent Advances in the Application of Piezoelectric Materials in Microrobotic Systems. Micromachines, 13(9), 1422. https://www.mdpi.com/2072-666X/13/9/1422
     
  • A. Fath, EA. Yazdi, M. Eghtesad, (2020). Semi-active vibration control of a semi-submersible offshore wind turbine using a tuned liquid multi-column damper. Ocean Engineering and Marine Energy, 6(3), 243–262. https://doi.org/10.1007/s40722-020-00171-x 
     
  • M. Hosseini, A. Jamalpoor, A. Fath, (2017). Surface effect on the biaxial buckling and free vibration of FGM nanoplate embedded in visco-Pasternak standard linear solid-type of foundation. Meccanica, 52(6), 1381-1396. https://doi.org/10.1007/s11012-016-0469-0

Reviewer of the following journals:

  • Nature Communications Journal, Nature Portfolio.
  • Sensors and Actuators A: Physical Journal, Elsevier.
  • Measurement Journal, Elsevier.
  • Industrial Robot Journal, Emerald Group Publishing.
  • Ocean Engineering Journal, Elsevier.
  • Sensors Journal, MDPI.
  • Applied Sciences Journal, MDPI.