- Prof. Luis Ceze, University of Washington
- Prof. Margaret Martonosi, Princeton University
- Prof. Karlheinz Meier, University of Heidelberg
- Prof. Robert Schoelkopf, Yale Quantum Institute
Luis Ceze is the Torode Family Professor in the Computer Science and Engineering Department at the University of Washington. His research focuses on the intersection between computer architecture, programming languages and biology. His current focus is on approximate computing and DNA-based data storage. He has co-authored over 100 papers in these areas, and had several papers selected as IEEE Micro Top Picks and CACM Research Highlights. His research has been featured prominently in the media including The New York Times, Popular Science, MIT Technology Review, and The Wall Street Journal. He is a recipient of an NSF CAREER Award, a Sloan Research Fellowship, a Microsoft Research Faculty Fellowship and the 2013 IEEE TCCA Young Computer Architect Award. He is also a member of the DARPA ISAT advisory committee. When he is not working he is found either eating or cooking.
Margaret Martonosi is the Hugh Trumbull Adams ’35 Professor of Computer Science at Princeton University, where she has been on the faculty since 1994. Martonosi’s research interests are in computer architecture and mobile computing, with particular focus on power-efficient systems and recently on hardware and software concurrency verification. Her work has included the development of the Wattch power modeling tool, the Princeton ZebraNet mobile sensor network project for the design and real-world deployment of zebra tracking collars in Kenya, and most recently a thread of work on architectures and toolflows for Quantum Computing. Martonosi is a Fellow of both IEEE and ACM. Notable awards include the 2010 Princeton University Graduate Mentoring Award, the 2013 NCWIT Undergraduate Research Mentoring Award, the 2013 Anita Borg Institute Technical Leadership Award, the 2015 Marie Pistilli Women in EDA Achievement Award, and the 2015 ISCA Long-Term Influential Paper Award.
Karlheinz Meier was appointed full professor of physics at Heidelberg University in 1992, where he co-founded the Kirchhoff-Institute for Physics. He has more than 25 years of experience in experimental particle physics, including design of a large-scale electronic data processing system that enabled the discovery of the Higgs Boson in 2012. Around 2005 he became interested in large-scale electronic implementations of brain-inspired computer architectures. His group pioneered several innovations in the field like the conception of a platform-independent description language for neural circuits (PyNN), time-compressed mixed-signal neuromorphic computing systems, and wafer-scale integration for their implementation. He led 2 major European initiatives, FACETS and BrainScaleS. In 2009 he was one of the initiators of the European Human Brain Project (HBP) that was approved in 2013. In the HBP he leads the subproject on neuromorphic computing with the goal of establishing brain-inspired computing paradigms as research tools for neuroscience and generic hardware systems for cognitive computing. In the HBP he is a member of the project directorate and vice-chair of the science and infrastructure board.
Robert Schoelkopf is the Sterling Professor of Applied Physics and Physics at Yale University. A graduate of Princeton University, Schoelkopf earned his Ph.D. at the California Institute of Technology. His group is a leader in the development of solid-state quantum bits (qubits) for quantum computing, and the advancement of their performance to practical levels. The Yale team has produced many firsts in the field based on superconducting circuits, including the development of a “quantum bus” for information, and the first demonstrations of quantum algorithms and quantum error correction with integrated circuits. This work has been recognized with several awards, including Joseph F. Keithley Award of the American Physical Society, the Max Planck Forschungspreis, and, together with his colleague Michel Devoret, the John Stewart Bell Prize and the Fritz London Memorial Prize. He is a co-founder and the Chief Architect at Quantum Circuits, Inc.
Dr. Hava Siegelmann, DARPA
“DARPA’s Vision for the Future of Computing”
Dr. Hava Siegelmann is currently Program Manager for the DARPA Microsystems Technology Office (MTO), where her interests are in developing programs that advance intelligence in computerized devices, focusing on life-long learning, context-aware adaptivity, and user-centered applications. Prior to joining DARPA, she directed the Biologically Inspired Neural and Dynamical Systems (BINDS) Laboratory at the University of Massachusetts Amherst, from which she is on leave. Dr. Siegelmann is widely known for her work in Support Vector Clustering and in Super-Turing computation theory. She has over 150 publications, over 20 book chapters, and over 40 proceedings papers. She is also the author of Neural Networks and Analog Computation: Beyond the Turing Limit, and is the 2016 recipient of the Hebb Award of the International Neural Network Society. Dr. Siegelmann holds a PhD in Computer Science from Rutgers University.
Dr. Robinson Pino, US Dept. of Energy
“DOE Vision and Programmatic Activities in Advanced Computing Technologies”
Dr. Robinson E. Pino is the Senior Cyber Security Program Advisor for the Department of Energy’s (DOE) Office of Science and Program Manager in the Office of Advanced Scientific Computing Research (ASCR). Dr. Pino focuses on transformative and revolutionary basic research and development efforts for High Performance Computing and applications that will enable our continued leadership through and beyond Exascale computing and energy efficient technologies. Dr. Pino has expertise within technology development, program management, government, industry, and academia. He previously worked as Director of Cyber Research at ICF International advancing the state of the art in cybersecurity by applying autonomous concepts from computational intelligence, machine learning, and neuromorphic computing for the U.S. Department of Defense (DoD), Army Research Laboratory (ARL) and various DoD and U.S. Department of Energy (DoE) collaborators, industry and academia. In addition, Dr. Pino was a Senior Electronics Engineer at the U.S. Air Force Research Laboratory (AFRL) where he was a program manager and principle scientist for the computational intelligence and neuromorphic computing research efforts. Dr. Pino was Adjunct Professor at the University of Vermont, School of Engineering, and worked at IBM developing advanced CMOS technologies as well as a Business Operations professional. Dr. Pino has been awarded 9 patents, published 4 books and over 50 publications, and has received numerous professional distinctions. Dr. Pino has a Ph.D. and M.Sc. degrees in Electrical Engineering with honors from Rensselaer Polytechnic Institute and a B.E. in Electrical Engineering with honors from the City University of New York, City College.