Events

ExCom meeting Speaker(s): , Dr. Guduri Virtual: https://events.vtools.ieee.org/m/580536

SEM Chapter 8 Officers AdCom meeting: Contact Scott Lytle: [email protected] for details and Teleconference phone information. Co-sponsored by: Scott Lytle Agenda: Agenda on-line: Contact Steve Tomba [email protected] for details. Virtual: https://events.vtools.ieee.org/m/521678

The IEEE Southeastern Michigan Section Monthly ExCom (Executive Committee) Meeting (every 2nd Thursday of the month) same time 6:30 PM EST/EDT (This is a virtual meeting, unless stated otherwise). We will discuss Section mission objectives, guidance, direction, as well as all the chapter/affinity groups/student branches and section committee reports, events, plans, opportunities to assist each other and help create value for our members. All IEEE members are welcome to attend, but they do need to register in order to receive the webex details. NOTE: All Chapter/Affinity Groups/Student Branch Chairs are required to update and inform all attendees of their past/current activities and plans for the year. A standard template is provided - which every member can view. If the chairs cannot attend, they are required to nominate one of their current chapter/affinity group/student branch officers to attend on their behalf. https://drive.google.com/drive/folders/1mrCOzBVIofTLZ4Z5eovGza4VN6amLgz1?usp=sharing Co-sponsored by: Sharan Kalwani Speaker(s): Christopher Johnson, Sharan Kalwani, Agenda: Published on google drive - link sent each month via email to ALL the chapter/Affinity Group/Student Branch/Committee chairs. Ensure you are listed on the ExCom listserv as well (contact [email protected] in case of doubt) https://drive.google.com/drive/folders/1mrCOzBVIofTLZ4Z5eovGza4VN6amLgz1?usp=sharing Virtual: https://events.vtools.ieee.org/m/525076

AI applications are rapidly evolving from standalone assistants into agentic systems that use tools, make decisions, and collaborate with other agents. As teams build agents on different frameworks and platforms, a new question emerges: how do these agents talk to each other without being tightly coupled to one specific implementation? In this introductory talk, Shravya Boini (Senior Engineer, Agentic Commerce) explores Agent-to-Agent (A2A) communication and why interoperability is becoming critical in the agentic AI ecosystem. We'll trace the evolution from single AI agents to multi-agent systems, the challenges of connecting agents across environments, and the core ideas behind A2A — agent discovery, capabilities, communication, and task collaboration — plus how A2A relates to MCP and traditional APIs. You'll leave with a practical understanding of why agent-to-agent interoperability matters, where A2A fits in the broader agentic AI landscape, and the key concepts to explore when designing multi-agent systems. Speaker: Shravya Boini, Senior Engineer – Agentic Commerce, Learn more about Shravya in (https://www.linkedin.com/in/shravyaboini/) 💻 Virtual — join link will be shared one day before the event 🌐 Open to practitioners everywhere Track: AI Agent Architecture & Implementation *** Run of show (60 min, internal) 6:00–6:05 — Welcome & housekeeping: quick note this is the pilot launch of the Virtual Learning Series, recording notice, how to use chat/Q&A 6:05–6:10 — Speaker introduction: Shravya's bio and talk framing 6:10–6:40 — Talk: From AI Agents to Agent Collaboration — Exploring A2A 6:40–6:55 — Live Q&A 6:55–7:00 — Wrap-up Virtual: https://events.vtools.ieee.org/m/580592

As part of the IEEE Day, this event covers more than 1 topic. To start off with: []Professional Licensure What does it take to get a Professional Engineering (PE) License in the State of Michigan and why that is that important to you? Followed by: []Developing a HyperScale Facility With the field of “Data Centers” expanding at what seems an ever-increasing rate due to this called “AI”, we have been asked to present what it takes to move from an enterprise data center to what is termed as a Hyperscaler data center. CTC Engineering is in the midst of three of these projects, specifically in the electrical power engineering aspect and this presentation is based on one of those projects that we have permission to shared. And why is this important to the Electrical Engineering class of 2026 - 2030? Without power, these projects don’t move past step 1!!! We will begin with the local level followed by a massive myriad of details leading up to construction documents. Time permitting we can entertain other items of interest Co-sponsored by: University of Michigan Ann Arbor - Student Branch Speaker(s): Glenn Keates, Michael Anthony Agenda: 1:00 - 1:10 PM - Sign in and welcome, introductions section, student branch, chapter business announcements 1:10 - 2:30 PM - Invited Speaker Lecture (in 2 parts) 2:30 - 3:00 PM – Q & A; networking All times are EST/EDT Virtual: https://events.vtools.ieee.org/m/576567

Abstract: Modern computing is often optimized in isolated layers, with separate tools for interfaces, software, and hardware. In this talk, we will start with expertise-driven design acceleration and expand to automated optimization. We show that large language model (LLM) agents can iteratively generate, test, and improve GPU kernels by reading hardware feedback, from single kernels to full end-to-end GPU programs. We then broaden the picture by showing how agents can more accurately ground interface elements and carry out computer interaction step by step, giving them the ability to operate real software, hardware environments, and applications. Bio: Caiwen Ding is an Associate Professor in the Department of Computer Science & Engineering at the University of Minnesota Twin Cities, which he joined in August 2024. He had been an Assistant Professor in the School of Computing at the University of Connecticut from 2019-2024. He received his Ph.D. from Northeastern University, Boston in 2019. His research interests span algorithm–system co-design for machine learning and artificial intelligence, privacy-preserving machine learning, machine learning for electronic design automation (EDA). Dr. Ding’s research has been published in leading venues across systems, architecture, and AI/ML—including DAC, ICCAD, ASPLOS, ISCA, MICRO, HPCA, SC, FPGA, MLSys, NeurIPS, ICML, CVPR, ACL, EMNLP, and IJCAI. He is a recipient of the NSF CAREER Award, Amazon Research Award, and Cisco Research Award. He has received multiple paper distinctions, including the Best Paper Award at the 2025 IEEE International Conference on LLM-Aided Design (ICLAD), the Best Paper Award at the 2023 AAAI DCAA workshop, Outstanding Student Paper at HPEC 2023, Best Paper Award Nominations at DATE 2018 and DATE 2021, and a publicity paper at DAC 2022. Speaker(s): Caiwen Ding, , Virtual: https://events.vtools.ieee.org/m/580877