Soroush Zare

About

I design brain-machine interfaces and adaptive control strategies using EEG, reinforcement learning, and robotics. My mission is to revolutionize neurorehabilitation and intelligent assistive technologies. I am currently a member of the WEARLab at the University of Virginia, where we focus on wearable robotics and intelligent rehabilitation systems.

Projects

• 🧠 EEGDiffFormer: Transformer-based EEG decoder for intent validation and robotic adaptation.
• 💪 NeuroMotion: EEG-driven soft exoskeleton that adapts using RL.
• 🚴 VR-Bike EEG Study: EEG-integrated VR biking for neuroplasticity.
• 🤖 Smart Grasping (UR5): Grasp simulation using deep RL in Gazebo with a physical UR5 robot.

Publications

• NeuroFlex, Sensors (2025)
• Transformer-CNN BCI, IEEE CHASE (2024)
• Wearable Exoskeleton, IEEE BSN (2024)
• Pervasive Health Robotics, PBME (2023)
• Control of Suspended CDPR, Robotica (2022)

Reviewer Roles

• Advanced Science
• Journal of Neural Engineering
• Mechanism and Machine Theory
• ACM Transactions on Computing for Healthcare
• Smart Health
• IEEE BSN 2024
• IEEE/ACM CHASE 2024

Talks

• 🎤 MAE Graduate Seminar @ UVA: EEG-Driven Robotics Control for Intent Validation and Adaptive Rehabilitation Using Feedback-Driven Learning
• ⚡ Link Lab Research Day 2023: Flash Talk – BCI & Adaptive Soft Exoskeleton

Awards

• 🥇 Outstanding Graduate Research Award – UVA MAE Awards Banquet (2025)
• 👑 Best Researcher Award in Engineering – Popular Scientist (2025)
• 🏅 NSF Student Travel Award – CHASE 2024
• 🎓 GRADESTAR Fellowship (2023–2024)
• 🏆 Chairperson’s Fellowship – UVA