http://wireless.rice.edu/tags/wi-fi/Wi-FiHugo Blox Builder (https://hugoblox.com)en-usFri, 15 May 2026 12:00:00 -0500http://wireless.rice.edu/media/icon.svghttp://wireless.rice.edu/tags/wi-fi/http://wireless.rice.edu/events/2026-05-puneet-sharma-talk/Fri, 15 May 2026 12:00:00 -0500http://wireless.rice.edu/events/2026-05-puneet-sharma-talk/<h2 id="speaker">Speaker</h2> <p><strong>Dr. Puneet Sharma</strong> — HPE Fellow, Vice President, and Director of the Networking and Distributed Systems Lab at HPE Labs.</p> <p>Dr. Sharma leads research in Edge-to-Cloud-to-Exascale infrastructure, multi-cloud resource orchestration, AI for infrastructure, 5G/Wi-Fi, and security. Since joining HP Labs in 1998 after earning his PhD from the University of Southern California, he has driven innovations in software-defined networking (SDN), GPU virtualization, container orchestration, edge computing, Private 5G, and AI/ML systems, enabling major technology transfers across HPE business units. A recognised global thought leader, Puneet has authored 150+ papers, holds 100+ patents, co-authored IETF RFCs, and delivered keynote talks at IEEE and industry events. He is an IEEE Fellow, ACM Distinguished Scientist, and a two-time Tsinghua AI 2000 Most Influential Scholar. He earned his B.Tech from IIT Delhi.</p> <h2 id="abstract">Abstract</h2> <p>Artificial Intelligence has quickly become a powerful tool for addressing complex systems problems, and networking has been no exception. Yet, the journey from promising idea to practical impact often reveals unexpected challenges and deeper insights. This talk reflects lessons learned from applying AI to networking problems, drawing on experiences from our Maestro and Wixor projects. These efforts tackled issues such as Wi-Fi QoE orchestration and cellular (5G) resource scheduling, showing both the promise and the limits of AI in networked systems.</p> <p>Several themes emerged across these projects: the critical role of formulating the right learning problem, the tradeoffs between model complexity and system usability, and the value of embedding domain knowledge into AI-driven solutions. Along the way, we also discovered that applying AI to networking is not just about better algorithms — it can reshape how we think about networks themselves.</p> <p>This talk will take a step back to distill these experiences into broader reflections: when does AI truly help in networking, what pitfalls should we anticipate, and how can we design systems that are both intelligent and trustworthy?</p> <h2 id="details">Details</h2> <ul> <li><strong>When:</strong> Friday, May 15, 2026, 12:00 PM – 1:00 PM CST</li> <li><strong>Where:</strong> O&rsquo;Connor Engineering and Sciences Building, Room 406</li> </ul>