Author: Sukanta Bhattacharjee

Shayan Mohammed is a Research Associate at the University of Texas at Dallas.   Sukanta Bhattacharjee is an Assistant Professor in the Department of Computer Science and Engineering, at the Indian Institute of Technology Guwahati, in Assam, India.   Rafael Song’s research and teaching interests are interdisciplinary in both mechanical engineering disciplines such as design and manufacturing of MEMS devices, fluid mechanics, and micro/nanofabrication, as well as in biological engineering areas such as Bio MEMS devices for separation and detection of biomolecules, neuroprosthetic implants, and transport phenomena in biological systems. He received his BS, MS, and Ph D from RWTH Aachen University, Germany and worked at the Korea Institute of Science and Technology (KIST) as a Senior Research Scientist. He joined Fraunhofer USA as a Senior Engineer in 2001 and worked in the Micro/Nanofluidic Bio MEMS Group in the Department of Electrical Engineering and Computer Science at MIT as a Research Scientist. Song held an appointment as a Research Fellow at the Beth Israel Deaconess Medical Center in Boston until he joined NYUAD in September 2012. He currently holds an affiliate appointment at the Department of Chemical and Biomolecular Engineering at NYU-Poly. Song was awarded the Postdoctoral Fellowship from Merck/Computational Systems Biology Initiative of MIT for 2004-2006 and an Outstanding Research Team Award from President of KIST in 2000. He is a recipient of the German Konrad-Adenauer Foundation Scholarship.   Krish Chakrabarty is the William H. Younger Distinguished Professor of Engineering in the Department of Electrical and Computer Engineering, at Duke University in Durham, NC.  He has been at Duke University since 1998. His current research is focused on: testing and design-for-testability of integrated circuits (especially 3D and multicore chips); digital microfluidics, biochips, and cyberphysical systems; optimization of digital print and production system infrastructure. His research projects in the recent past have also included chip cooling using digital microfluidics, wireless sensor networks, and real-time embedded systems. Research support is provided by the National Science Foundation, the Semiconductor Research Corporation, Cisco Systems, HP Labs, Huawei Technologies, and Intel Corporation through Intel Lab”s Academic Research Office. Other sponsors in the past have included National Institutes of Health , DARPA and the Office of Naval Research.   Prof. Chakrabarty received the B. Tech. degree from the Indian Institute of Technology, Kharagpur, India in 1990, and the M.S.E. and Ph.D. degrees from the University of Michigan, Ann Arbor in 1992 and 1995, respectively, all in Computer Science and Engineering . During 1990-95, he was a research assistant at the Advanced Computer Architecture Laboratory of the Department of Electrical Engineering and Computer Science, University of Michigan. During 1995-1998, he was an Assistant Professor of Electrical and Computer Engineering at Boston University.   Prof. Chakrabarty is a Fellow of ACM, a Fellow of IEEE, and a Golden Core Member of the IEEE Computer Society. He is also an Invitational Fellow of the Japan Society for the Promotion of Science (JSPS), 2009. He is a recipient of the IEEE Computer Society Meritorious Service Award. Prof. Chakrabarty was a Chair Professor in the School of Software in Tsinghua University, Beijing, China (2009-2013), and a Visiting Chair Professor in Computer Science and Information Engineering at National Cheng Kung University in Taiwan (2012-2013). He has held Visiting Professor positions at University of Tokyo (Japan), Nara Institute of Science and Technology (Japan), and University of Potsdam (Germany), and a Guest Professor position at University of Bremen (Germany).   Ramesh Karri is a Professor of Electrical and Computer Engineering at Tandon School of Engineering, New York University. He has a Ph.D. in Computer Science and Engineering, from the University of California at San Diego. His research and education activities span hardware cybersecurity including trustworthy ICs, processors and cyberphysical systems; security-aware computer aided design, test, verification, validation and reliability; nano meets security; metrics; benchmarks; hardware cybersecurity competitions; additive manufacturing security.