On Tuesday, July 15, Carnegie Mellon University is hosted a national Energy and Innovation Summit convened by Senator David McCormick of Pennsylvania to advance science and innovation in the state.
These professors from Penn Engineering were on hand to showcase their critical research at the convergence of innovation and energy, which includes advanced materials, energy-efficient computing, power electronics systems, and AI data center optimization.
Lei Gu is an Assistant Professor in Electrical and Systems Engineering and is also a visiting researcher in the circuits group at NVIDIA Research, working on data center power delivery. At Penn Engineering, Gu and his team study the efficiency, size and performance of power electronics systems for energy conversion, computing and advanced manufacturing. His research explores new materials and circuit techniques for miniaturized, high-performance power electronics. Current projects include high-efficiency power delivery for AI data centers, optical control for resilient grid infrastructure, and RF and pulsed power systems for next-generation semiconductor and critical mineral processing.
Contact: leigu@seas.upenn.edu
Benjamin C. Lee is a Professor in Computer and Information Science and in Electrical and Systems Engineering and is a visiting researcher at Google in the Global Infrastructure Group. Lee works on energy-efficient computing, focusing on the design and management of high-performance computer systems such as data centers for AI. He studies emerging AI workloads, such as Mixtures of Experts (MoE), and develops strategies to improve their performance and reduce their cost. Lee also uses techniques in game theory and economics to better allocate computational resources and power to diverse users and their jobs.
Contact: leebcc@seas.upenn.edu
Troy H. Olsson is a Professor in Electrical and Systems Engineering, where his research explores how to use advanced materials to improve electronic devices. He and his team focus on using special materials that sense voltage and current without direct electrical contact, which helps protect sensitive control circuits from interference in high-voltage systems. They also look at using ferroelectric materials to create faster, smarter memory for AI processors. Their work will help speed up data access and even handle some processing tasks itself, making AI systems more efficient.
Contact: rolsson@seas.upenn.edu
We welcome academic, corporate and industry partners to explore collaboration and innovation opportunities with Penn Engineering’s research community.
Please contact marcomms@seas.upenn.edu to learn more.
