Seyed Ehsan Marjani Bajestani is a Postdoctoral Fellow at the MIST Lab, Polytechnique Montréal. He received his B.Sc. in Electrical Engineering and M.Sc. in Mechatronics Engineering before joining the MIST Lab as a Ph.D. student in Computer Engineering at Polytechnique Montréal, where he conducted research on event-based perception and robotic vision. He later joined the MIST Lab as a Postdoctoral Fellow.
His research spans swarm robotics, multi-agent systems, robotic perception, and embedded systems. Throughout his career, he has combined academic research with hands-on engineering, contributing to projects ranging from autonomous robotic exploration and search-and-rescue systems to event-based perception, embedded medical devices, and large-scale robotic coordination. He has also been actively involved in the RoboCup community for over a decade. After competing in the RoboCup Middle Size League from 2014 to 2017 and contributing to multiple international championship-winning teams, he went on to serve as a Technical Committee Member and later as an Executive Committee Member until 2024, supporting the league’s technical and organizational development.
Current Work
Ehsan’s research focuses on swarm robotics, multi-agent systems, and robotic perception. He is currently working on the Swarm Orchestra project, investigating how large groups of autonomous robots can coordinate expressive collective behaviors through decentralized control, perception, and interaction.
Previous Projects at MIST Lab
Event-Based 3D Perception
During his Ph.D. at Polytechnique Montréal, Ehsan developed novel high-speed 3D sensing methods using event cameras and structured light. His system used a DLP projector to rapidly project coded color patterns, while a monochrome event-based camera captured the resulting events to reconstruct both object color and depth at very high temporal resolution, enabling low-latency robotic perception.
Portiloop v2
Designed the embedded hardware and custom PCB system for a portable closed-loop EEG stimulation device.
Search and Rescue with Swarm Robotics
Designed and implemented decentralized search, distributed mapping, and communication relay strategies that enable autonomous robot swarms to operate effectively under sparse and intermittent network connectivity.
IGLUNA
Contributed to autonomous robotic systems for planetary exploration scenarios and field robotics applications.
Teaching
- Instructor, Swarm Intelligence, Polytechnique Montréal (Winter 2026)
- Teaching Assistant, Swarm Intelligence, Polytechnique Montréal (Winter 2023)
Selected Awards
- World Champion, RoboCup 2015, Middle Size League Technical Challenge (Hefei)
- 1st Place, IranOpen 2017 RoboCup, Middle Size League (Tehran)
- 3rd Place, RoboCup 2016, Middle Size League Technical Challenge (Leipzig)
Selected Publications
- Seyed Ehsan Marjani Bajestani and Giovanni Beltrame. "Event-based RGB sensing with structured light." 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 2023.
- Ulrich Dah-Achinanon, Seyed Ehsan Marjani Bajestani, Pierre-Yves Lajoie, and Giovanni Beltrame. "Search and rescue with sparsely connected swarms." Autonomous Robots 47, no. 7 (2023): 849-863.
- Milo Sobral, Hugo R. Jourde, S. Ehsan M. Bajestani, Emily BJ Coffey, and Giovanni Beltrame. "Personalizing brain stimulation: continual learning for sleep spindle detection." Journal of Neural Engineering 22, no. 4 (2025): 046016.
- Seyed Ehsan Marjani Bajestani and Giovanni Beltrame. "Event-Based Vision for Robot Soccer." Robot World Cup. Cham: Springer Nature Switzerland, 2024. 309-317.
- Seyed Ehsan Marjani Bajestani and Arsham Vosoughinia. "Technical report of building a line follower robot." 2010 International Conference on Electronics and Information Engineering. Vol. 1. IEEE, 2010.
Research Vision
Ehsan is interested in developing autonomous robotic systems that can perceive, learn, and collaborate in dynamic environments. His long-term goal is to bridge robotic perception, collective intelligence, and human-robot interaction to enable teams of robots to operate effectively in real-world applications ranging from exploration and environmental monitoring to creative and interactive experiences.
Contact
Reach Ehsan at ehsan.marjani@polymtl.ca or on LinkedIn.