Reza Ahmadzadeh

Reza Ahmadzadeh is an Associate Professor at the Miner School of Computer & Information Sciences within the Kennedy College of Sciences at the University of Massachusetts Lowell. He directs the PeARL Lab (Persistent Autonomy and Robot Learning), focusing on robot learning algorithms for autonomy and human-robot interaction.

• Ph.D. in Robotics, Cognition, and Interactive Technologies (2015) - University of Genoa & Italian Institute of Technology

His research spans Robot Learning, Reinforcement Learning, and Learning from Demonstration, with applications in Autonomous Underwater Vehicles, Mobile Manipulation, and Humanoid Robotics. His lab has produced 15+ recent papers on topics like skill generalization, malfunction recovery, and trust modeling, leveraging both geometric and probabilistic approaches.

Scientific contributions include:

• NSF CAREER Award (2019)
• Multiple best paper awards at robotics conferences
• Microsoft Robotics Ph.D. Scholarship (2011)

He has mentored numerous graduate students who have defended theses in areas such as:

• Quadruped stability analysis
• Exoskeleton control adaptation
• Human-robot trust studies

The PeARL lab collaborates with local robotics companies in Massachusetts' high-tech corridor, and maintains active research programs in:

• Autonomous underwater manipulation
• Visuospatial skill learning
• Reactive behavior learning
• Trust modeling in human-robot teams