Debasmita Mukherjee

Dr. Debasmita Mukherjee is an Assistant Professor at the University of New Brunswick, affiliated with the Department of Electrical and Computer Engineering and the Dr. J. Herbert Smith Centre for Technology Management and Entrepreneurship. She holds a PhD in Mechanical Engineering from the University of British Columbia (2023).

Her research focuses on creating safety-centric and natural communication frameworks for human-robot collaboration within Industry 5.0 contexts. Key areas include personalizing deep learning models through affective computing, probabilistic methods, and explainable AI to enhance system safety. With eight years of experience in R&D, she has worked in both academia and industry, specializing in deploying models in industrial environments.

Her work has been patented, published in prestigious IEEE conferences and journals, and covered by media. Notable research themes include domain adaptation, multimodal learning, and reinforcement learning applications in human-robot interaction. Her articles emphasize adapting communication models across environments and leveraging user feedback for personalization.

Dr. Mukherjee’s contributions bridge theory and practice, addressing challenges in industrial automation through innovative AI strategies. While no specific awards are listed, her research impact is evident through patents and media recognition.

Her advising and grants sections remain unreported in the provided texts. She is part of interdisciplinary teams at the Smith Centre, focusing on technology management and entrepreneurship.