- Manish Parashar, Rutgers, OSTP
- Man-Hong Yung, Huawei
- Iuliana Radu, IMEC
- Gregory Cohen, University of Western Sydney
- Todd Hylton, University of California, San Diego
- Advait Madhavan, University of Maryland and the National Institute of Standards and Technology
Talk Title: OSTP Future Advanced Computing Ecosystem (FACE) Overview
Manish Parashar is currently serving as Assistant Director for Strategic Computing at the Whitehouse Office of Science and Technology Policy (OSTP), where he is leading strategic planning for the Nation’s Future Advanced Computing Ecosystem. He is also on an IPA to the US National Science Foundation (NSF) since February 2018 where he is the Office Director of the Office of Advanced Cyberinfrastructure (OAC). At NSF he oversees investments in the exploration development, acquisition and provisioning of state-of-the-art national cyberinfrastructure resources, tools, services and expertise essential to the advancement and transformation of all of science and engineering. He is also leading the development of NSF’s strategic vision for a National Cyberinfrastructure Ecosystem for 21st Century Science and Engineering that responds to rapidly changing application and technology landscapes, as well as blueprints for NSF’s key cyberinfrastructure investments over the next decade. He also serves as the NSF representative for the US National Strategic Computing activities led by the Whitehouse Office of Science and Technology Policy (OSTP), and served as co-chair of the Fast Track Action Committee (FTAC) that developed the report titled National Strategic Computing Update: Pioneering the Future of Computing.
Talk Title: What to expect for near-term quantum computing
Dr. Man-Hong Yung is an associate professor of physics at the Southern University of Science and Technology (SUSTech) located in Shenzhen, China. Currently, he is on subbatical leave for joining Huawei Technologies as the Chief Scientist for quantum algorithms and software. Dr. Yung obtained a bachelor and a master degree in physics at the Chinese University of Hong Kong. Then, he moved to the University of Illinois Urbana-Champaign where he obtained a PhD degree under the supervision of Prof. Anthony Leggett. Then, he joined Harvard Univeristy as a postdoctoral researcher in the research group of Prof. Alan Aspuru-Guzik. After that, he returned to China and worked as an assistant professor at the Institute for Interdisciplinary Information Sciences directed by Prof. Andrew Yao at Tsinghua University, before joining SUSTech in Shenzhen. His research interests include quantum simulation, quantum control, quantum machine learning, and applications for near-term quantum devices. He is one of the inventors of the method of variational quantum eigensolver (VQE) for simulating quantum chemistry with NISQ devices, which has been widely adopted as the main tool for quantum chemistry simulation in the field.
Talk Title: Devices for future compute: from transistors with 2D materials to qubits
Iuliana P. Radu is Director of Quantum and Exploratory Computing at imec. Her activities include work on beyond CMOS device concepts such as spintronic majority gates and wave computing and novel materials and their possible applications in the semiconductor industry. Quantum Computing includes work on qubit devices and the periphery circuits meant to control them. Prior to establishing the Beyond CMOS program at imec in 2013, she was a Marie Curie and FWO fellow at KU Leuven and imec. Her work encompassed devices using the metal to insulator transition, ionic and electronic transport in functional oxides, and devices with graphene and other 2D materials. Iuliana has received a PhD in Physics from MIT in 2009 where she searched for Majorana fermions in the quest to build very reliable qubits for Quantum Computing. She has been an author on over 170 papers in leading peer-reviewed journals and conferences. She has given more than 40 invited talks at international conferences and seminars where she is a frequent speaker on quantum computing and exploratory devices for classical computing. She currently serves as sub-committee chair for IEDM Emerging Devices, and program committee member for ESSDERC and SNW.
Talk Title: What a different approach to computing enables
Gregory Cohen is an Associate Professor in Neuromorphic Systems at the International Centre for Neuromorphic Systems (ICNS) at Western Sydney University and program lead for neuromorphic algorithms and space applications. He received a BSc(Eng) Electrical and Computer engineering, a MSc (Eng) and a BCom(Hons) in Finance and Portfolio Management from the University of Cape Town, Cape Town, South Africa in 2007, 2008, 2010, respectively, and a joint PhD in signal processing and neuromorphic engineering from Western Sydney University, Sydney Australia and the University of Pierre and Marie Curie in Paris, France. Prior to returning to research from industry, he worked in several start-ups and established engineering and consulting firms including working as a consulting engineer in the field of large-scale HVAC from 2007 to 2009, as an electronic design engineer from 2009 to 2011, and as an expert consultant for Kaiser Economic Development Practice in 2012.
Talk Title: Thermodynamic Computing: Filling the Gaps
Dr. Todd Hylton is the Executive Director of the Contextual Robotics Institute and Professor of Practice in the Electrical and Computer Engineering Department at UC San Diego. His research interests include novel computing systems and their application to autonomous vehicle and robotic systems. Prior to his appointment at UC San Diego, he was Executive Vice President of Strategy and Research at Brain Corporation, a San Diego-based robotics startup. From 2007 to 2012, Dr. Hylton served as a Program Manager at DARPA where he started and managed a number of projects including the Nano Air Vehicle program, the SyNAPSE program and the Physical Intelligence program. Prior to DARPA, he ran a nanotechnology research group at SAIC, co-founded 4Wave, a specialty semiconductor equipment business, and served as CTO of Commonwealth Scientific Corporation. Dr. Hylton received his Ph.D. in Applied Physics from Stanford University in 1991 and his B.S. in Physics from M.I.T. in 1983.
Talk Title: Temporal State Machines: One step closer to temporal computers
Advait Madhavan is a Faculty Specialist at the Institute for Research in Electronics and Applied Physics at the University of Maryland with a joint appointment at the Alternative Computing Group of the Physical Measurement Laboratory at the National Institute of Standards and Technology. He received a Ph.D. in Electrical and Computer Engineering from the University of California, Santa Barbara in 2016. His interests lie in unconventional computing approaches, while his expertise lies at the intersection of VLSI, computer architecture and emerging technologies. The objective of his work is to build chips to realize unconventional computing approaches based on temporal, analog and stochastic codes interfaced with emerging technologies such as memristors and spintronic devices.