AGENTIC AI FOR REAL-TIME DECISION MAKING

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This session will explore emerging agentic AI systems that enable real-time decision making in complex, dynamic environments. The talk will examine how large language models, reinforcement learning, and multi-agent coordination are being integrated into production systems across domains such as industrial IoT, edge AI, and autonomous systems, along with key challenges in scalability, reliability, and deployment.

Hosted by the IEEE Signal Processing Society San Diego chapter, the session will also include an industry perspective and interactive discussion on translating advances in AI research into real-world systems and infrastructure.

Speaker: Prof. Rose Yu (UC San Diego)
https://roseyu.com/

Organizer / Moderator: Chhavi Jain, Vice Chair, IEEE SPS San Diego Chapter 
https://chhavijain.net/


  Date and Time

  Location

  Hosts

  Registration


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  • Del Mar Electronics & Manufacturing Show (DMEMS) 2026
  • 2260 Jimmy Durante Blvd, Del Mar
  • San Diego, California
  • United States 92014
  • Building: Del Mar Fairgrounds
  • Room Number: Mexican Plaza - 17 Hands Room
  • Contact Event Hosts
  • Starts 23 March 2026 04:33 PM UTC
  • Ends 23 April 2026 12:00 AM UTC
  • No Admission Charge

  Speakers

Rose Yu of UCSD

Topic:

AGENTIC AI FOR REAL-TIME DECISION MAKING

This talk will focus on recent advances in agentic AI and how they support real‑time decision making in complex, fast‑changing environments. It will highlight the practical integration of large language models, reinforcement learning techniques, and multi‑agent systems into deployed applications spanning industrial IoT, edge intelligence, and autonomous technologies. The presentation will also address real‑world considerations, including system scalability, operational robustness, and deployment challenges encountered in production settings.

Biography:

Dr. Rose Yu is an Associate Professor at UC San Diego department of Computer Science and Engineering. She is a primary faculty with the AI Group and is affiliated with Halıcıoğlu Data Science Institute.

Her research interests lie primarily in machine learning, especially for large-scale spatiotemporal data. She is particularly excited about AI for scientific discovery. She has won DARPA Young Faculty Award, ECASE Award, NSF CAREER Award, Hellman Fellowship, Faculty Awards from JP Morgan, Meta, Google, Amazon, and Adobe, several Best Paper Awards, Best Dissertation Award at USC. She was named as MIT Technology Review Innovators Under 35 in AI.

Address:UCSD, , San Diego, California, United States, 92129-1028




Agenda

4:00 PM – Welcome & Opening Remarks (IEEE SPS San Diego)
4:05 PM – Technical Talk by Prof. Rose Yu (UC San Diego)
4:35 PM – Industry Perspective & Discussion
4:50 PM – Audience Q&A
5:00 PM – Closing