Faculty | Duke Kunshan University

Faculty

CHAKRABARTY, Krishnendu, Ph.D. (Secondary)

Professor of Electrical and Computer Engineering, Duke Kunshan University

John Cocke Distinguished Professor of Electrical and Computer Engineering, Duke University

Chair of the Department of Electrical and Computer Engineering, Duke University

Professor Chakrabarty received the B. Tech. degree from the Indian Institute of Technology, Kharagpur, in 1990, and the M.S.E. and Ph.D. degrees from the University of Michigan, Ann Arbor, in 1992 and 1995, respectively. He is a Research Ambassador of the University of Bremen (Germany). He is a Fellow of ACM, a Fellow of IEEE, and a Golden Core Member of the IEEE Computer Society. He was a 2009 Invitational Fellow of the Japan Society for the Promotion of Science (JSPS). He served as a Distinguished Visitor of the IEEE Computer Society during 2005-2007 and 2010-2012, and as a Distinguished Lecturer of the IEEE Circuits and Systems Society during 2006-2007 and 2012-2013. Currently he serves as an ACM Distinguished Speaker. He is a recipient of the CAREER award, the Office of Naval Research Young Investigator award, the Humboldt Research Award from the Alexander von Humboldt Foundation, Germany, the IEEE Computer Society Technical Achievement Award, and 11 best papers awards at leading IEEE conferences. His current research is focused on: testing and design-for-testability of integrated circuits (especially 3D SOC); microfluidic biochips; hardware security; neuromorphic computing.

LI, Ming, Ph.D.

Associate Professor of Electrical and Computer Engineering, Duke Kunshan University

Visiting researcher and doctoral supervisor of Electrical and Computer Engineering, Duke University

Ming Li received his Ph.D. in Electrical Engineering from University of Southern California in May 2013. His research interests are in the areas of audio, speech and language processing as well as multimodal behavior signal processing. He has published more than 100 papers and served as the member of IEEE speech and language technical committee, CCF speech language and hearing committee, CAAI artificial psychology and affective computing committee, APSIPA speech and language processing committee, area chairs for Interspeech 2016, 2018 and 2020. Works co-authored with his colleagues have won first prizes at Body Computing Slam Contest 2009, Interspeech Computational Paralinguistics Challenge 2011, 2012 and 2019; best paper awards at IEEE DCOSS 2009, ISCSLP 2014, IEEE CPTECE 2018. He received the IBM faculty award in 2016 and ISCA computer speech and language best journal paper award in 2018.

LI, Xin, Ph.D.

Associate Dean for Research, Duke Kunshan University

Professor of Electrical and Computer Engineering, Duke Kunshan University  Professor of Electrical and Computer Engineering, Duke University

Director of Institute of Applied Physical Sciences and Engineering, Duke Kunshan University

Director of Data Science Research Center, Duke Kunshan University

Director of Master of Engineering Program in ECE, Duke Kunshan University

Professor Xin Li received the Ph.D. degree in Electrical & Computer Engineering from Carnegie Mellon University in 2005. He was assistant director of the United States circuit and systems research center from 2009 to 2012. He founded Xigmix in 2005 as the company's chief technology officer (CTO). From 2009 to 2012, he served as assistant director of the United States joint research center for circuits and systems. He was an Associate Editor of IEEE TCAD, IEEE TBME, ACM TODAES, IEEE D&T and IET CPS. He was the General Chair of ISVLSI and FAC. He received the NSF CAREER Award in 2012 and six Best Paper Awards from IEEE TCAD, DAC, ICCAD and ISIC. Prof. Li is now the Deputy Editor-in-Chief of IEEE TCAD and Fellow of IEEE. His research interests include integrated circuit, signal processing and data analytics.

LIU, Jianguo, Ph.D. (Secondary)

Professor of Physics, Duke University

Professor of Mathematics and Physics, Duke Kunshan University

Co-Director of Zu Chongzhi Center for Mathematics and Computational Sciences, Duke Kunshan University

Professor Jian-guo Liu received his Ph.D. degree in University of California at Los Angeles 1990. He joined Temple University’s Department of Mathematics as assistant professor in 1993, moved to the University of Maryland, College Park, as an associate professor in 1997 and became a professor in 2001 in the Department of Mathematics and the Institute for Physical Science and Technology. He joined Duke University in 2009 as professor of physics and mathematics, and he is also a fellow of the American Mathematical Society.

His research is in collective dynamics, decision-making and self-organization in complex systems from biology and social sciences; scaling behavior in models of clustering and coarsening; numerical methods for incompressible viscous flow; and multiscale analysis and computation.

MURA, Ivan, Ph.D

Associate Professor of Electrical and Computer Engineering, Duke Kunshan University

Prof. Ivan Mura received a first degree in Computer Science and a Ph.D. degree in Computer Science Engineering both from the University of Pisa, Italy, in 1994 and 1999, respectively. He first held a Junior Researcher position with the Italian National Research Council, working on the dependability evaluation of hardware/software systems, and then joined Motorola Software Group in Turin, Italy. He worked for Motorola for 7 years as a project manager, in charge of R&D software project development, leading the Modeling and Simulation team and managing the involvement of Motorola Italy in several, large European Commission funded projects. In 2006 he joined the Microsoft Research-University of Trento Centre for Computational and Systems Biology, located in Rovereto, Italy, where he worked as a Senior Researcher on the application of predictive modeling to complex biological systems. He moved back to academia in 2012, taking on a position at the Computer Science department of EAN University in Bogotá, Colombia, and then he was an Associate Professor at the Department of Industrial Engineering of Universidad de los Andes in Bogotá, Colombia. He is currently an Associate Professor of Electrical and Computer Engineering at Duke Kunshan University. His research interests focus on techniques and applications of predictive modeling for artificial and living systems, and the integration of measurement data into axiomatic modeling.

TRIVEDI, Kishor, Ph.D. (Secondary)

Professor of Electrical and Computer Engineering, Duke Kunshan University

Hudson Professor of Electrical and Computer Engineering, Duke University

Professor Trivedi received the M.S. degree and Ph.D. degree from the University of Illinois. He heads Duke High Availability Assurance Laboratory (DHAAL) and holds the Hudson Chair in the Department of Electrical and Computer Engineering at Duke University. He is known as a leading international expert in the domain of reliability and performability evaluation of Dependable systems. He is a Life Fellow of the Institute of Electrical and Electronics Engineers and a Golden Core Member of IEEE Computer Society. He is the recipient of IEEE Computer Society Technical Achievement Award for his research on Software Aging and Rejuvenation. He is the author of “Probability and Statistics with Reliability, Queuing and Computer Science Applications” and “Reliability and Availability Engineering: Modeling, Analysis and Applications”.

XU, Shixin, Ph.D.

Assistant Professor of Mathematics, Duke Kunshan University

Professor Shixin Xu received the B.Sc. in Mathematics (Hons) from Ocean University of China and a Ph.D. in Mathematics from the University of Science and Technology, China, in 2013. From 2013 to 2017, he held post-doctorate positions at the National University of Singapore, the University of Notre Dame and University of California Riverside (U.S.), and the Fields Institute for Research in Mathematical Sciences (Canada). His research interests are machine learning and data-driven model for diseases, multiscale modeling of complex fluids, homogenization theory and numerical analysis.

CHEN, Mingsong, Ph.D. (Adjunct)

Adjunct Professor in Applied Physical Sciences and Engineering, Duke Kunshan University

Dr. Mingsong Chen is a full Professor in the Computer Science and Software Engineering Institute (CS&SEI) at the East China Normal University (ECNU). Currently he serves as the director of the department of Embedded Software and Systems. His research interests include design automation of smart cyber physical systems, cloud/edge computing, computer architecture, and IoT. He received his B.S. and M. Eng. from Nanjing University in 2003 and 2006 respectively, and Ph.D. from the University of Florida, in 2010 - all in Computer Science. Prof. Chen is a Senior Member of IEEE, a Senior Member of CCF, and a member of ACM.

CHEN, Yingchi (Jack), Ph.D. (Adjunct)

Adjunct Professor in Applied Physical Sciences and Engineering, Duke Kunshan University

Dr. Chen received the Ph.D. degree in statistics and the M.S. degree in business administration from Lowa State University. He specializes in investment optimization, customer goals and CRM related advanced analysis, including measuring the long-term impact of difficulties to measure impacts such as brand promotion, customer journey, social media, corporate social responsibility, demand forecasting, and total quality management improvement.

WEI, Tongquan, Ph.D.(Adjunct)

Adjunct Associate Professor in Applied Physical Sciences and Engineering, Duke Kunshan University

Professor Tongquan Wei received his Ph.D. degree in Electrical Engineering from Michigan Technological University in 2009. He is currently an Associate Professor in the Department of Computer Science and Technology at the East China Normal University. His research interests are in the areas of internet of things (IoT), edge computing, cloud computing, and design automation of intelligent systems and cyber physical systems (CPS). He has published numerous papers in these areas, most of which are published in premium conferences and journals including IEEE ICCAD, IEEE DATE, IEEE TPDS, IEEE TC, IEEE TCAD, IEEE TVLSI, IEEE TCAS, IEEE TSG, Elsevier JSS, Elsevier JSA, and etc. In particular, his work on smart home energy management has become a 1% ESI highly cited paper since 2016. He serves as a Regional Editor for Journal of Circuits, Systems, and Computers (World Scientific) since 2012. He also served as the Guest Editor of the IEEE TII SS on Building Automation, Smart Homes, and Communities, the ACM TECS SS on Embedded Systems for Energy-Efficient, Reliable, and Secure Smart Homes, and the ACM TCPS SS on Human-Interaction-Aware Data Analytics for Cyber-Physical Systems. He is a senior member of the IEEE.

ZHENG, Zheng, Ph.D. (Adjunct)

Adjunct Professor in Applied Physical Sciences and Engineering, Duke Kunshan University

Professor Zheng Zheng is currently a full-time professor at School of Automation Science and Electrical Engineering of Beihang University. He received his B.S. and M.S. degree from Chongqing University of Posts and Telecommunications in 2000 and 2003 respectively, and Ph.D. degree from Institute of Computing Technology, Chinese Academy of Sciences in 2006. He has won 18 projects and has published 16 papers in leading journals (i.e. top 25% of JCR), and 5 papers in leading conferences (e.g. ISSRE, COMPASAC) in the last five years (645 citations in the last five years in Google Scholar, and 1 highly cited paper ESI). He has won Beijing Youth Talent Award in 2013 and Beihang Youth Excellent Award in 2018.

CHAKRABARTY, Krishnendu, Ph.D. (Secondary)

Professor of Electrical and Computer Engineering, Duke Kunshan University

John Cocke Distinguished Professor of Electrical and Computer Engineering, Duke University

Chair of the Department of Electrical and Computer Engineering, Duke University

Professor Chakrabarty received the B. Tech. degree from the Indian Institute of Technology, Kharagpur, in 1990, and the M.S.E. and Ph.D.

degrees from the University of Michigan, Ann Arbor, in 1992 and 1995, respectively. He is a Research Ambassador of the University of Bremen (Germany). He is a Fellow of ACM, a Fellow of IEEE, and a Golden Core Member of the IEEE Computer Society. He was a 2009 Invitational Fellow of the Japan Society for the Promotion of Science (JSPS). He served as a Distinguished Visitor of the IEEE Computer Society during 2005-2007 and 2010-2012, and as a Distinguished Lecturer of the IEEE Circuits and Systems Society during 2006-2007 and 2012-2013. Currently he serves as an ACM Distinguished Speaker. He is a recipient of the CAREER award, the Office of Naval Research Young Investigator award, the Humboldt Research Award from the Alexander von Humboldt Foundation, Germany, the IEEE Computer Society Technical Achievement Award, and 11 best papers awards at leading IEEE conferences. His current research is focused on: testing and design-for-testability of integrated circuits (especially 3D SOC); microfluidic biochips; hardware security; neuromorphic computing.


LI, Ming, Ph.D.

Associate Professor of Electrical and Computer Engineering, Duke Kunshan University

Visiting researcher and doctoral supervisor of Electrical and Computer Engineering, Duke University

Ming Li received his Ph.D. in Electrical Engineering from University of Southern California in May 2013.

His research interests are in the areas of audio, speech and language processing as well as multimodal behavior signal processing. He has published more than 100 papers and served as the member of IEEE speech and language technical committee, CCF speech language and hearing committee, CAAI artificial psychology and affective computing committee, APSIPA speech and language processing committee, area chairs for Interspeech 2016, 2018 and 2020. Works co-authored with his colleagues have won first prizes at Body Computing Slam Contest 2009, Interspeech Computational Paralinguistics Challenge 2011, 2012 and 2019; best paper awards at IEEE DCOSS 2009, ISCSLP 2014, IEEE CPTECE 2018. He received the IBM faculty award in 2016 and ISCA computer speech and language best journal paper award in 2018.


LI, Xin, Ph.D.

Associate Dean for Research, Duke Kunshan University

Professor of Electrical and Computer Engineering, Duke Kunshan University  Professor of Electrical and Computer Engineering, Duke University

Director of Institute of Applied Physical Sciences and Engineering, Duke Kunshan University

Director of Data Science Research Center, Duke Kunshan University

Director of Master of Engineering Program in ECE, Duke Kunshan University

Professor Xin Li received the Ph.D. degree in Electrical & Computer Engineering from Carnegie Mellon University in 2005.

He was assistant director of the United States circuit and systems research center from 2009 to 2012. He founded Xigmix in 2005 as the company's chief technology officer (CTO). From 2009 to 2012, he served as assistant director of the United States joint research center for circuits and systems. He was an Associate Editor of IEEE TCAD, IEEE TBME, ACM TODAES, IEEE D&T and IET CPS. He was the General Chair of ISVLSI and FAC. He received the NSF CAREER Award in 2012 and six Best Paper Awards from IEEE TCAD, DAC, ICCAD and ISIC. Prof. Li is now the Deputy Editor-in-Chief of IEEE TCAD and Fellow of IEEE. His research interests include integrated circuit, signal processing and data analytics.


LIU, Jianguo, Ph.D. (Secondary)

Professor of Physics, Duke University

Professor of Mathematics and Physics, Duke Kunshan University

Co-Director of Zu Chongzhi Center for Mathematics and Computational Sciences, Duke Kunshan University

Professor Jian-guo Liu received his Ph.D. degree in University of California at Los Angeles 1990.

He joined Temple University’s Department of Mathematics as assistant professor in 1993, moved to the University of Maryland, College Park, as an associate professor in 1997 and became a professor in 2001 in the Department of Mathematics and the Institute for Physical Science and Technology. He joined Duke University in 2009 as professor of physics and mathematics, and he is also a fellow of the American Mathematical Society.


His research is in collective dynamics, decision-making and self-organization in complex systems from biology and social sciences; scaling behavior in models of clustering and coarsening; numerical methods for incompressible viscous flow; and multiscale analysis and computation.


MURA, Ivan, Ph.D

Associate Professor of Electrical and Computer Engineering, Duke Kunshan University

Prof. Ivan Mura received a first degree in Computer Science and a Ph.D.

degree in Computer Science Engineering both from the University of Pisa, Italy, in 1994 and 1999, respectively. He first held a Junior Researcher position with the Italian National Research Council, working on the dependability evaluation of hardware/software systems, and then joined Motorola Software Group in Turin, Italy. He worked for Motorola for 7 years as a project manager, in charge of R&D software project development, leading the Modeling and Simulation team and managing the involvement of Motorola Italy in several, large European Commission funded projects. In 2006 he joined the Microsoft Research-University of Trento Centre for Computational and Systems Biology, located in Rovereto, Italy, where he worked as a Senior Researcher on the application of predictive modeling to complex biological systems. He moved back to academia in 2012, taking on a position at the Computer Science department of EAN University in Bogotá, Colombia, and then he was an Associate Professor at the Department of Industrial Engineering of Universidad de los Andes in Bogotá, Colombia. He is currently an Associate Professor of Electrical and Computer Engineering at Duke Kunshan University. His research interests focus on techniques and applications of predictive modeling for artificial and living systems, and the integration of measurement data into axiomatic modeling.


TRIVEDI, Kishor, Ph.D. (Secondary)

Professor of Electrical and Computer Engineering, Duke Kunshan University

Hudson Professor of Electrical and Computer Engineering, Duke University

Professor Trivedi received the M.S. degree and Ph.D. degree from the University of Illinois.

He heads Duke High Availability Assurance Laboratory (DHAAL) and holds the Hudson Chair in the Department of Electrical and Computer Engineering at Duke University. He is known as a leading international expert in the domain of reliability and performability evaluation of Dependable systems. He is a Life Fellow of the Institute of Electrical and Electronics Engineers and a Golden Core Member of IEEE Computer Society. He is the recipient of IEEE Computer Society Technical Achievement Award for his research on Software Aging and Rejuvenation. He is the author of “Probability and Statistics with Reliability, Queuing and Computer Science Applications” and “Reliability and Availability Engineering: Modeling, Analysis and Applications”.


XU, Shixin, Ph.D.

Assistant Professor of Mathematics, Duke Kunshan University

Professor Shixin Xu received the B.Sc. in Mathematics (Hons) from Ocean University of China and a Ph.D.

in Mathematics from the University of Science and Technology, China, in 2013. From 2013 to 2017, he held post-doctorate positions at the National University of Singapore, the University of Notre Dame and University of California Riverside (U.S.), and the Fields Institute for Research in Mathematical Sciences (Canada). His research interests are machine learning and data-driven model for diseases, multiscale modeling of complex fluids, homogenization theory and numerical analysis.


CHEN, Mingsong, Ph.D. (Adjunct)

Adjunct Professor in Applied Physical Sciences and Engineering, Duke Kunshan University

Dr. Mingsong Chen is a full Professor in the Computer Science and Software Engineering Institute (CS&SEI) at the East China Normal University (ECNU).

Currently he serves as the director of the department of Embedded Software and Systems. His research interests include design automation of smart cyber physical systems, cloud/edge computing, computer architecture, and IoT. He received his B.S. and M. Eng. from Nanjing University in 2003 and 2006 respectively, and Ph.D. from the University of Florida, in 2010 - all in Computer Science. Prof. Chen is a Senior Member of IEEE, a Senior Member of CCF, and a member of ACM.


CHEN, Yingchi (Jack), Ph.D. (Adjunct)

Adjunct Professor in Applied Physical Sciences and Engineering, Duke Kunshan University

Dr. Chen received the Ph.D. degree in statistics and the M.S. degree in business administration from Lowa State University.

He specializes in investment optimization, customer goals and CRM related advanced analysis, including measuring the long-term impact of difficulties to measure impacts such as brand promotion, customer journey, social media, corporate social responsibility, demand forecasting, and total quality management improvement.


WEI, Tongquan, Ph.D.(Adjunct)

Adjunct Associate Professor in Applied Physical Sciences and Engineering, Duke Kunshan University

Professor Tongquan Wei received his Ph.D. degree in Electrical Engineering from Michigan Technological University in 2009.

He is currently an Associate Professor in the Department of Computer Science and Technology at the East China Normal University. His research interests are in the areas of internet of things (IoT), edge computing, cloud computing, and design automation of intelligent systems and cyber physical systems (CPS). He has published numerous papers in these areas, most of which are published in premium conferences and journals including IEEE ICCAD, IEEE DATE, IEEE TPDS, IEEE TC, IEEE TCAD, IEEE TVLSI, IEEE TCAS, IEEE TSG, Elsevier JSS, Elsevier JSA, and etc. In particular, his work on smart home energy management has become a 1% ESI highly cited paper since 2016. He serves as a Regional Editor for Journal of Circuits, Systems, and Computers (World Scientific) since 2012. He also served as the Guest Editor of the IEEE TII SS on Building Automation, Smart Homes, and Communities, the ACM TECS SS on Embedded Systems for Energy-Efficient, Reliable, and Secure Smart Homes, and the ACM TCPS SS on Human-Interaction-Aware Data Analytics for Cyber-Physical Systems. He is a senior member of the IEEE.


ZHENG, Zheng, Ph.D. (Adjunct)

Adjunct Professor in Applied Physical Sciences and Engineering, Duke Kunshan University

Professor Zheng Zheng is currently a full-time professor at School of Automation Science and Electrical Engineering of Beihang University.

He received his B.S. and M.S. degree from Chongqing University of Posts and Telecommunications in 2000 and 2003 respectively, and Ph.D. degree from Institute of Computing Technology, Chinese Academy of Sciences in 2006. He has won 18 projects and has published 16 papers in leading journals (i.e. top 25% of JCR), and 5 papers in leading conferences (e.g. ISSRE, COMPASAC) in the last five years (645 citations in the last five years in Google Scholar, and 1 highly cited paper ESI). He has won Beijing Youth Talent Award in 2013 and Beihang Youth Excellent Award in 2018.