If you are still experiencing an issue with a vTools.eNotice mailing that originates from vTools.Events, please contact staff for assistance.
IEEE Education Society: AI-Based Video Analytics Webinar
Presented by the IEEE Education Society, organized by IEEE-Mapua University Student Branch and IEEE Polytechnic University of the Philippines Student Branch, this webinar series aims to foster knowledge exchange and skill development across a diverse audience—from emerging professionals and students to experienced researchers and practitioners. Each session features leading experts who will explore a range of contemporary and interdisciplinary topics at the forefront of engineering and technology.
By providing an interactive platform for discussion, the series seeks to enhance participants’ understanding of advanced concepts, promote research collaboration, and encourage the practical application of new technologies. Participants will gain valuable insights into current trends and future directions in their respective fields, further empowering them to innovate and excel in a rapidly evolving technical landscape.
Date and Time
Location
Hosts
Registration
-
Add Event to Calendar
- Starts 12 June 2025 04:00 AM UTC
- Ends 24 June 2025 04:00 AM UTC
- No Admission Charge
Speakers
Supavadee Aramvith
AI-Based Video Analytics
This talk will explore the evolving landscape of video analytics, driven by advancements in artificial intelligence (AI) and deep learning. While surveillance cameras are ubiquitous for monitoring purposes, the true potential lies in analyzing video content to extract actionable insights. Deep learning-based computer vision techniques, particularly those utilizing multi-layer neural networks, have significantly enhanced the performance of video analytics. This presentation will examine current trends and research in this domain, including image super-resolution for improving image quality and video anomaly detection for proactive security monitoring. Furthermore, it will discuss the implementation of these advanced analytics on embedded systems, such as FPGAs and single-board computers, enabling efficient processing at the edge. Real-world applications and future directions of video analytics will also be addressed.
Biography:
Supavadee Aramvith received a B.S. (first class honors) degree in Computer Science from Mahidol University in 1993. She received her M.S. and Ph.D. in Electrical Engineering from the University of Washington, Seattle, USA, in 1996 and 2001, respectively. She joined Chulalongkorn University in June 2001. She is an associate professor at the Department of Electrical Engineering specializing in video technology. She has successfully advised 14 Ph.D., 36 Master’s, and 47 Bachelor’s Graduates. She published over 150 papers in International Conference Proceedings and Journals with 4 International Book Chapters. She has rich project management experience as the project leader and former technical committee chair for Thailand's government bodies in telecommunications and ICT. She is very active in the international arena, having leadership positions in IEEE and NICT ASEAN IVO. She serves as the IEEE Thailand Section Chair, IEEE New Initiative Chair-Elect, the IEEE Product Safety Engineering Society treasurer, the IEEE-HKN Regions 7-10 Governor, the IEEE MGA Chapter Operations Support Committee Past Chair, the IEEE Ethics and Member Conduct Committee, and IEEE Awards Board Joint Awards with National Societies Chair, and Region 10 Membership Development Committee Chair (South Asia and Pacific).
Email:
Address:Chulalongkorn University, , Thailand