Sponsor: Foothill Section Chapter,CAS04/ED15
Speaker: Dr. Sedat Ozer

Date: 27 Sep 2025
Time: 10:30 AM PDT to 11:30 AM PDT
Cost:
Location:
Reservations: IEEE
Summary:
In the first session of this two-part series, Dr. Ozer will provide a foundational overview of artificial intelligence (AI) and machine learning (ML), introducing key concepts, neural network architectures, and tools commonly used in the field. Attendees will gain a clear understanding of how AI and ML work, the difference between training and inference, and the hardware considerations that support modern AI applications. This session sets the stage for the second seminar, which will dive deeper into machine vision applications in UAVs and autonomous systems.

Bio: Dr. Sedat Ozer is an Assistant Professor at California State Polytechic University, Pomona, and a machine learning scientist whose research focuses on robot vision, deep learning, and AI for autonomous systems. He is passionate about exploring the theory behind practical applications, seeking to enhance the generality and impact of AI and machine vision solutions.

Before joining Cal Poly Pomona, Dr. Ozer conducted research at MIT CSAIL, the University of Central Florida’s Center for Research in Computer Vision, and the University of Virginia’s VIVA Lab. He was also awarded TUBITAK’s prestigious 2232: International Fellowship for Outstanding Researchers from 2020 to 2023.

Dr. Ozer received his Ph.D. in Electrical and Computer Engineering from Rutgers University, where he focused on activity detection in scientific visualization. His current work spans visual object tracking, robot sensing, and machine learning theory, with applications in UAVs, autonomous systems, and advanced computer vision. Known for blending theory and practice, Dr. Ozer aims to create AI solutions that are both technically rigorous and widely applicable.