Upcoming

Past

• UGAL-Q: A Multi-Agent Reinforcement Learning-Based Routing for Dragonfly Networks (Oct 17)

  Speaker: Xin Yuan Date: Oct 17, 2:15 – 3:05 pm Abstract: Multi-Agent Reinforcement Learning (MARL)-based routing has emerged as a promising approach for high-performance interconnect networks such as Dragonfly, offering a viable alternative to the widely used Universal Globally Adaptive…

• Challenges in Bringing AI to Next Generation Edge Networks: A Physical Layer Perspective (Oct 10th)

  Speaker: Xin Liu Date: Oct 10, 2:15 – 3:05 pm Abstract: The next generation of edge networks encompassing everything from IoT devices and smartphones to autonomous vehicles is poised to revolutionize industries by deploying AI in dynamic, real-world environments…

• The Unwritten Curriculum: Lessons from a 25-Year Journey in Tech, Research, and AI (Oct 10th)

  Speaker: Dr. Sanjay Agravat Date: Oct 10, 1:00pm – 2:00 pm Bio: Originally from Tallahassee, Florida, Dr. Sanjay Agravat is a Staff Software Engineer at Google with a 25-year career spanning academic research, teaching, and software engineering, residing in Atlanta,…

• Model Extraction Attack and Defense for Large Language Models (Oct 7th)

  Speaker: Lican (Kelsey) Li Date: Oct 7, 11:45am – 12:45 pm Abstract: Model extraction attacks pose significant security threats to deployed language models, potentially compromising intellectual property and user privacy…

• A Distributed and Scalable Approach for Global Representation Learning with EHR Applications

  Speaker: Zebin Wang Date: Sept 30, 11:45 am – 12:45 pm Abstract: Classical probabilistic graphical models face fundamental challenges in modern data environments, which are characterized by high dimensionality, source heterogeneity, and stringent data-sharing constraints.

• Societally-Aware Autonomy: Games, Control, and Infrastructure for the Next Generation of Mobility Systems

  Speaker: Ruolin Li Date: Sept 26, 2:15 – 3:05 pm Abstract: Autonomous vehicles (AVs) offer unprecedented opportunities to reshape transportation systems by enabling fine-grained control, real-time adaptability, and proactive system-wide coordination…

• Unleashing the Power of Graph-Based Machine Learning as a Service

  Speaker: Yushun Dong Date: Sep 5, 2:15 – 3:05 pm Abstract: The exponential growth of graph-structured data has created an unprecedented demand for graph learning capabilities across industries, yet domain experts face formidable barriers: massive computational requirements, prohibitive model costs,…

• LoRa and Low Earth Orbit (LEO) Satellite Networks

  Speaker: Zhenghao Zhang Date: Aug 29, 2:15 – 3:05 pm Abstract: LoRa has emerged as one of the main candidates for connecting low-power wireless IoT devices. Low Earth Orbit (LEO) satellite networks have also been growing very rapidly in recent…

• Towards Smarter, Healthier, and Secure Lives Through Intelligent Wearable Sensing

  Speaker: Yang Liu Date: Apr 4, 11:45am-12:45pm Abstract: In today’s technology-driven world, the ubiquity of wearable devices offers unparalleled opportunities to monitor and enhance human well-being. However, a substantial gap remains in their ability to intuitively understand and respond to…

• Deploying Web Honeypots to Evaluate the Efficacy of Online Systems Against Phishing and Fraud Attacks

  Speaker: Bhupendra Acharya Date: Mar 27, 11:45am-12:45pm Abstract: Phishing and fraud attacks remain the predominant class of social engineering attacks despite two decades of their existence. Most cyberattacks begin with a social engineering attack, finding the weakness in human fallibilities.