Biography: Dr. Hamed Tabkhi is an Associate Professor in the Department of Electrical and Computer Engineering at UNC Charlotte’s William States Lee College of Engineering. Dr. Tabkhi is the founder and director of the Transformative Computer Systems and Architecture Research (TeCSAR) lab at UNC Charlotte. At TeCSAR, Dr. Tabkhi focuses on bringing recent advances in machine learning, deep learning, and data analytics to enhance the safety, health, and overall well-being of our communities.

Abstract: In this talk, Associate Professor Dr. Hamed Tabkhi will present on how recent advances in vision-language models, self-supervised learning, and data analytics can transform traditional CCTV cameras into computational intelligence devices that go far beyond passive monitoring. By shifting from reactive surveillance to proactive, data-driven decision-making, these systems create new opportunities for real-time business insights, evidence-based urban planning, and enhanced community safety. He will highlight the development of self-supervised computer vision systems capable of analyzing complex patterns and detecting unusual events critical to transportation and public safety contexts. In parallel, he will address the practical, ethical, and societal challenges of deploying large-scale, real-time AI within cyber-physical social systems. The discussion emphasizes a responsible design framework that integrates transparency, accountability, and scalability, ensuring that data science innovations deliver measurable impact while maintaining public trust.

Please register at the link above!