About the Instructors
Supriyo Datta received his B.Tech. from the Indian Institute of Technology in Kharagpur, India in 1975 and his Ph.D. from the University of Illinois at Urbana-Champaign in 1979. In 1981, he joined Purdue University, where he is (since 1999) the Thomas Duncan Distinguished Professor in the School of Electrical and Computer Engineering. He started his career in the field of ultrasonics and was selected by the Ultrasonics group as its outstanding young engineer to receive an IEEE Centennial Key to the Future Award and by the ASEE to receive the Terman Award for his book on Surface Acoustic Wave Devices.
Since 1985 he has focused on current flow in nanoscale electronic devices and the approach pioneered by his group for the description of quantum transport, combining the non-equilibrium Green function (NEGF) formalism of many-body physics with the Landauer formalism from mesoscopic physics, has been widely adopted in the field of nanoelectronics. This is described in his books Electronic Transport in Mesoscopic Systems (Cambridge 1995) and Quantum Transport: Atom to Transistor (Cambridge 2005) and he was elected to the US National Academy of Engineering (NAE) for this work.
Datta is also well-known for his contributions to spin electronics and molecular electronics. He has received Technical Field Awards from the IEEE both for research and for graduate teaching and was selected by Sigma Xi to receive the Procter Prize https://www.sigmaxi.org/programs/prizes-awards/william-procter/award-winner/supriyo-datta
In his latest book, Datta argues that the insights gained from nano electronics provide a new approach to the problems of non-equilibrium statistical mechanics in general: Lessons from Nanoelectronics: A New Perspective on Transport, World Scientific 2012 http://nanohub.org/groups/lnebook
Dr. Jonathan Sun is a Research Staff Member at IBM's T. J. Watson Research Center at Yorktown Heights, New York. His current focus is on spin-current-switchable magnetic nano-structures and related device and materials physics. Dr. Sun's early experimental demonstration together with the theoretical modeling of his and others revealed the new phenomenon of spin-current-induced magnetic switching in magnetic junction devices. The effect has by now been unambiguously demonstrated experimentally, and quantitatively understood in many situations theoretically. The progress of this field now is enabling new technologies for writing magnetic information into sub-50nm magnetic structures. It holds the promise for further scaling of magnetism-based memory devices well below the present-day lithography limit. Before his work on spin-torque and nano-magnetism, Dr. Sun researched oxide electronic materials and superconducting devices, including passive microwave devices and magnetic field-sensing devices utilizing superconducting quantum interference structures based on high-temperature superconductor thin films. Dr. Sun has over 100 publications in refereed journals, and holds over 10 patents in technology areas including memory, nanomagnetism, and superconductive materials and devices. Dr. Sun received his MS and PhD degrees from the Applied Physics Department at Stanford University. He is a member of the American Physical Society.
University of California, Berkeley
Zhihong Chen received her B.S. degree in physics from Fudan University in 1998, and her Ph.D. degree in physics from the University of Florida in 2003. After two years of postdoctoral research at IBM T.J. Watson research center, she became a research staff member in the Physical Science Department. Her research focused on the physical properties of carbon based materials, which involved design and fabrication of high performance devices and circuits. In 2008, she was appointed as the manager of the Carbon Technology Group at IBM, where she was in charge of evaluating the potential of carbon materials and the development of novel carbon based technologies for commercial applications. Since Oct. 2010, she joined the School of Electrical and Computer Engineering at Purdue University, as an associate professor.
Dmitri E. Nikonov received M.S. in aeromechanical engineering from the Moscow Institute of Physics and Technology in 1992 and Ph.D. in physics from Texas A&M University in 1996.
He is a Project Manager in Strategic Research Group at Intel Corporation in Santa Clara, California and is responsible for managing joint research programs with universities on nanotechnology, optoelectronics and advanced devices.
From 1997 to 1998 he was on staff of the Department of Electrical and Computer Engineering of University of California Santa Barbara.
He has 29 publications in refereed journals in quantum mechanics, quantum optics, free-electron, gas and semiconductor lasers, and 36 issued and pending patents in nanoelectronic and integrated optics devices.
His research interests are in nanoelectronics, spintronics, quantum semiconductor devices, optoelectronics.
Kaushik Roy is the Edward G. Tiedemann, Jr., Distinguished Professor of Electrical and Computer Engineering at Purdue University. He received his PhD from University of Illinois at Urbana-Champaign in 1990 and joined the Semiconductor Process and Design Center of Texas Instruments, Dallas, where he worked for three years on FPGA architecture development and low-power circuit design. His current research focuses on cognitive algorithms, circuits and architecture for energy-efficient cognitive computing, computing models, and neuromorphic devices. Kaushik has supervised 75 PhD dissertations and his students are well placed in universities and industry. He is the co-author of two books on Low Power CMOS VLSI Design (John Wiley & McGraw Hill).
Kaushik received the National Science Foundation Career Development Award in 1995, IBM faculty partnership award, ATT/Lucent Foundation award, 2005 SRC Technical Excellence Award, SRC Inventors Award, Purdue College of Engineering Research Excellence Award, Humboldt Research Award in 2010, 2010 IEEE Circuits and Systems Society Technical Achievement Award (Charles Doeser Award), Distinguished Alumnus Award from Indian Institute of Technology (IIT), Kharagpur, Global foundries visiting chair at National University of Singapore, Fulbright-Nehru Distinguished Chair, DoD Vannevar Bush Faculty Fellow (2014-2019), Semiconductor Research Corporation Aristotle award in 2015.
Anand Raghunathan received the B. Tech. degree in Electrical and Electronics Engineering from the Indian Institute of Technology, Madras, India, and the M.A. and Ph.D. degrees in Electrical Engineering from Princeton University, Princeton, NJ.
He is the Silicon Valley Professor and Chair of the VLSI area in the School of Electrical and Computer Engineering at Purdue University. He also holds the C. R. Muthukrishnan Distinguished Visiting Chair in Computational Brain Research at the Indian Institute of Technology, Madras. He serves as Associate Director of the SRC/DARPA Center for Brain-inspired Computing (C-BRIC) and founding co-director of the Purdue/TSMC Center for a Secured Microelectronics Ecosystem (CSME). His areas of research include brain-inspired computing, energy-efficient machine learning and artificial intelligence, system-on-chip design and computing with post-CMOS devices. He is a co-founder and Director of Hardware at High Performance Imaging, Inc., a company commercializing Purdue innovations in the area of computational imaging. Before joining Purdue, he was a Senior Researcher and Project Leader at NEC Laboratories America and held a visiting position at Princeton University.
Prof. Raghunathan has co-authored a book, eight book chapters, and over 300 refereed journal and conference papers, and holds 28 U.S patents and 16 international patents. His work has received nine best paper awards, a retrospective ten-year most impactful paper award, one design contest award and seven best paper nominations at premier IEEE and ACM conferences. He received a Patent of the Year Award (an award recognizing the invention that has achieved the highest impact), and two Technology Commercialization Award from NEC. He also received the IBM Faculty Award and Qualcomm Faculty Award. He was chosen by MIT's Technology Review among the TR35 (top 35 innovators under 35 years, across various disciplines of science and technology) in 2006, for his work on "making mobile secure". He also received the Distinguished Alumnus Award from IIT Madras. Prof. Raghunathan has chaired four premier IEEE/ACM conferences, and served on the editorial boards of various IEEE and ACM journals in his areas of interest. He received the IEEE Meritorious Service Award and Outstanding Service Award. He is a Fellow of the IEEE and Golden Core Member of the IEEE Computer Society.