Weekend Espresso | AI and Machine Vision: From Foundations to Applications - Part 1

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AI and Machine Vision: From Foundations to Applications - Part 1

Don’t miss our two-part AI and Machine Vision series with Dr. Sedat Ozer, Assistant Professor at Cal Poly Pomona. In Part 1, Dr. Ozer will unpack the essentials of AI and machine learning—how they work, the tools behind them, and the hardware that powers today’s applications. Part 2 will build on this foundation, showcasing how machine vision is transforming UAVs and autonomous systems. Join us for both sessions and take part in an engaging discussion during the Q&A.

 

About Weekend Espresso

Tech, Trends & Takeaways | Start your weekend with a shot of fresh ideas! Weekend Espresso is a series of quick, engaging seminars (under 1 hour) highlighting diverse topics in technology, innovation, and professional growth. Whether you’re a student, researcher, educator, or industry professional, you’ll discover insights that inform, inspire, and spark new connections. Hosted by the IEEE Foothill Section—pour yourself a cup and join us for lively learning!


  Date and Time

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  • Starts 14 September 2025 06:53 PM UTC
  • Ends 28 September 2025 03:00 AM UTC
  • No Admission Charge

  Speakers

Sedat Ozer

Topic:

AI and Machine Vision: From Foundations to Applications

About the Speaker – Dr. Sedat Ozer

Dr. Sedat Ozer (https://www.sedatozer.com/) 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.




Agenda

Agenda – Weekend Espresso #3: AI and Machine Vision – From Foundations to Applications (Part 1)
Speaker: Dr. Sedat Ozer, Assistant Professor, Cal Poly Pomona

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.

Topics Covered:

  • Introduction to AI and its major applications

  • Basics of machine learning and neural networks

  • Common neural network types and their applications

  • Training vs. inference

  • Popular ML tools and software frameworks

  • Hardware considerations for AI/ML (CPU, GPU, accelerators, memory, etc.)

  • How ML is applied in vision systems

Format:

  • Talk: 30~40 minutes

  • Q&A and Discussion: 10~15 minutes


IEEE Region 6