Professor Shiyan Hu received his Ph.D. in Computer Engineering from Texas A&M University in 2008. He has been on the faculty of Michigan Tech., where he is a Tenured Associate Professor and Director of ICC Center for Cyber-Physical Systems. He was a Visiting Professor at IBM Research (Austin) in 2010, and a Visiting Associate Professor at Stanford University from 2015 to 2016. His research interests include Cyber-Physical Systems (CPS), CPS Security, Data Analytics, and Computer-Aided Design of VLSI Circuits, where he has published more than 100 refereed papers.
Prof. Hu is an ACM Distinguished Speaker, an IEEE Systems Council Distinguished Lecturer, an IEEE Computer Society Distinguished Visitor, an invited participant for U.S. National Academy of Engineering Frontiers of Engineering Symposium, a recipient of National Science Foundation (NSF) CAREER Award, a recipient of ACM SIGDA Richard Newton DAC Scholarship (as the faculty advisor), and a recipient of JSPS Faculty Invitation Fellowship. His research was highlighted as a Keynote Paper in IEEE Transactions on Computer-Aided Design and as the Front Cover in IEEE Transactions on Nanobioscience. His ultra fast slew buffering technique has been widely deployed in industry for designing over 50 microprocessors and ASIC chips such as IBM flagship chips POWER 7 and 8. His research has been featured in various public media such as National Science Foundation News Headlines, Science Daily, CBS, IEEE Spectrum, and Communications of ACM.
Prof. Hu is the Chair for IEEE Technical Committee on Cyber-Physical Systems. He is the Editor-In-Chief of IET Cyber-Physical Systems: Theory & Applications. He is an Associate Editor for IEEE Transactions on Computer-Aided Design, IEEE Transactions on Industrial Informatics, and IEEE Transactions on Circuits and Systems. He is also a Guest Editor for a number of IEEE/ACM Journals such as Proceedings of the IEEE and IEEE Transactions on Computers. He has held chair positions in numerous IEEE/ACM conferences. He is a Fellow of IET.
กค Cyber-Physical Systems (CPS), esp. Smart Energy Cyber-Physical System Security
กค Computer-Aided Design (CAD) for VLSI Circuits
กค Big Data Analytics