Asghar Mahmoudi, Dr.-Ing.

Asghar Mahmoudi is a postdoctoral researcher in the Biomechanical Motion Analysis and Creation (BioMAC) group at the Chair of Autonomous Systems and Mechatronics in the Department of Electrical Engineering, Electronics and Information Technology at FAU Erlangen-Nürnberg since May 2026. He is currently working on the “FossilGaitSim” project to investigate movement evolution using biomechanical modelling.

He received his doctoral degree from Technical University of Darmstadt at the Institut for Mechatronic Systems on October 2025. His doctoral research was conducted within the DFG-funded Graduate School “LokoAssist”, where he focused on developing a systematic design approach for assistive wearable devices using predictive biomechanical modelling and integrating user feedback into the design process. He received his Bachelor’s degree in 2016 and his Master’s degree in 2018 in Mechanical Engineering from University of Guilan, Iran, where his main topic of research was the design, development and control of exoskeleton.

Research interest:

Biomechanics, Wearable Assistive Devices, Musculoskeletal Modeling

Key references:

Mahmoudi, Asghar, et al. “Can predictive simulations provide insights for personalizing assistive wearable device design?.” bioRxiv (2026): 2026-03.

Mahmoudi, Asghar, et al. “Design optimization platform for assistive wearable devices applied to a knee damper exoskeleton.” Wearable Technologies 6 (2025): e30.

Mahmoudi, Asghar, et al. “Using passive bci for personalization of assistive wearable devices: A proof-of-concept study.” IEEE Transactions on Neural Systems and Rehabilitation Engineering 33 (2025): 476-487.

Khomami, Asghar Mahmoudi, and Farid Najafi. “A survey on soft lower limb cable-driven wearable robots without rigid links and joints.” Robotics and Autonomous Systems 144 (2021): 103846.

A comprehensive list of publications can be found on GoogleScholar.