Lei Li is an assistant professor in Computer Science Department at University of California Santa Barbara. His research interest lies in natural language processing, machine translation, and AI-powered drug discovery. He received his B.S. from Shanghai Jiao Tong University and Ph.D. from Carnegie Mellon University. Series: "Institute for Energy Efficiency" [Science] [Show ID: 38476]

Rob Ober is Chief Platform Architect of NVIDIA’s data center products, and works with global Hyperscales to architect AI and Deep Learning clusters, develop systems and platform architecture, and influence NVIDIA hardware and software platform roadmaps. His background is in processor and system architecture, with experience in networking, storage, memories, and wireless. Rob has over 40 international patents in processor architecture, low power design, storage, networks, wireless, and mobile devices. Series: "Institute for Energy Efficiency" [Science] [Show ID: 38472]

Katharine E. Schmidtke received a B.Sc. Degree in physics and mathematics from Keele University, UK, in 1989 and Ph.D in laser physics and non-linear optics from the University of Southampton in 1993. She went on to do post-doctoral research in epitaxial growth of non-linear optical materials at Stanford University, CA, USA. She has a 25-year career in the optical communications industry including roles at Finisar, JDS Uniphase and New Focus. For the past 7 years she has worked at Facebook, Menlo Park, CA where she has driven the technology strategy for data center optical interconnects. She is currently Director of Sourcing for ASICS and Custom Silicon focused on AI/ML applications. Dr. Schmidtke is a fellow of the Optical Society of America and has been an invited speaker and served on committees for numerous international conferences, including Optical Fiber Communication Conference (OFC) European Conference on Communications (ECOC) and the Optical Interconnects Conference. Series: "Institute for Energy Efficiency" [Science] [Show ID: 38480]

Yufei Ding joined the Department of Computer Science (with a joint appointment in the Department of Electrical & Computer Engineering), University of California at Santa Barbara as an Assistant Professor in Nov 2017. Her research interests lie in the broad fields of domain-specific language design, architecture and compiler optimization, and hardware acceleration. Her current research focuses on building high-performance, energy-efficient, and high-fidelity programming frameworks for emerging technologies such as quantum computing, machine learning, and deep learning. Series: "Institute for Energy Efficiency" [Science] [Show ID: 38474]

Martin Fischer is the Kumagai Professor of Engineering at Stanford University and directs the Center for Integrated Facility Engineering. He is known globally for his work and leadership in developing and applying digital methods to increase the productivity of construction project teams, enhance building performance, and create new strategic opportunities for firms in the construction industry. His award-winning research results have been used operationally and strategically by many industrial and government organizations around the world. He has co-authored the book “Integrating Project Delivery” published by Wiley in 2017, written over 100 refereed journal articles and book chapters, and given over 100 keynote lectures on his research. His work has been recognized by the ASCE Peurifoy Construction Research Award and with elections to the National Academy of Construction in the US and the Royal Academy of Engineering Sciences in Sweden.

Series: "Institute for Energy Efficiency" [Science] [Show ID: 38479]

Dan Nall is a professional engineer, a registered architect, an ASHRAE and an AIA Fellow, a LEED Fellow, an ASHRAE Certified Building Energy Modeling Professional, a certified High Performance Building Design Professional and a Certified Passive House Consultant. He is currently a member of the ASHRAE Task Force for Building Decarbonization, is Chair of ASHRAE Standards Project Committee 227P, the Passive Building Design Standard, and is a member of the Commercial Buildings Working Group of the New York City Local Law 97 (Building Carbon Emissions Limitation) Advisory Group. He has been involved in building energy efficiency and HVAC engineering for 45 years. Series: "Institute for Energy Efficiency" [Science] [Show ID: 38478]

Cliff Young is a software engineer in Google Research, where he works on codesign for deep learning accelerators. He is one of the designers of Google’s Tensor Processing Unit (TPU) and one of the founders of the MLPerf benchmark. Previously, Cliff built special- purpose supercomputers for molecular dynamics at D. E. Shaw Research and was a Member of Technical Staff at Bell Labs. Cliff holds AB, MS, and PhD degrees in computer science from Harvard University. Cliff is a member of ACM and IEEE. Series: "Institute for Energy Efficiency" [Science] [Show ID: 38473]

Surendra Anubolu is a Distinguished Engineer at Broadcom in the Switch Group. He is currently working on benchmarking and enhancing performance of distributed AI work loads and telemetry for network applications. Since joining Broadcom in 2015, Surendra worked on the Tomahawk and Trident line of products. Prior to Broadcom, Surendra worked at Cisco as Director of Engineering responsible for delivering Ethernet switch silicon. Surendra Anubolu holds an MS from Indian Institute of Science, Bangalore. Series: "Institute for Energy Efficiency" [Science] [Show ID: 38475]

Mead Rusert is President of Automated Logic, a leading provider of innovative building automation and energy management solutions that maximize energy efficiency and ensure occupant comfort and engagement. With over 30 years of industry experience, he brings a broad background to the position including executive roles in engineering, product management, and marketing for commercial HVAC products at Carrier Corporation. He holds three patents related to temperature control algorithms. Mead earned a Bachelor’s degree in mechanical engineering from the University of Wisconsin-Madison and a Master’s degree in business administration from the Fuqua School of Business at Duke University. Series: "Institute for Energy Efficiency" [Science] [Show ID: 38477]

Bharath Muthiah is a Technical Lead in Meta’s Infrastructure team and leads technical sourcing for large scale AI HW cluster technologies and solutions. In this capacity, Bharath engages extensively with Meta’s strategic technology partners, industry consortiums, hyperscale peers, and academic partners in influencing customization and optimizations for Meta’s key AI use cases. Prior to this, Bharath led the technical sourcing and enabling efforts for Meta’s Compute and Video Infrastructure efforts as well as jump starting Meta’s technical engagements in the custom silicon and ASIC spaces. Prior to Meta, Bharath had 15 years of experience in the Datacenter and Cloud Infrastructure spaces spanning various strategy, product management, and engineering roles at Intel. Series: "Institute for Energy Efficiency" [Science] [Show ID: 38471]