Prof. Qingfu Zhang (张青富) IEEE Fellow
City University of Hong Kong, Hong Kong
Qingfu Zhang is a Professor at the Department of Computer Science, City University of Hong Kong. His main research interests include evolutionary computation, optimization, neural networks, data analysis, and their applications. His MOEA/D has been one of most researched and used multiobjective evolutionary algorithmic framework. He is currently leading the Metaheuristic Optimization Research Group in City University of Hong Kong. Professor Zhang is an Associate Editor of the IEEE Transactions on Evolutionary Computation and the IEEE Transactions Cybernetics. He was awarded the 2010 IEEE Transactions on Evolutionary Computation Outstanding Paper Award. He is on the list of the Thomson Reuters 2016 highly cited researchers in computer science. He is a fellow of IEEE..
Prof. Steven Guan
Xi'an Jiaotong-Liverpool University, China
Prof.Steven Guan, Xi'an Jiaotong-Liverpool University
Prof.Steven Guan received his M.Sc. & Ph.D. from the University of North Carolina at Chapel Hill. He is currently a Professor and the Director for Research Institute of Big Data Analytics at Xi'an Jiaotong-Liverpool University (XJTLU). He served the head of department position at XJTLU for 4.5 years, creating the department from scratch and now in shape. Before joining XJTLU, he was a tenured professor and chair in intelligent systems at Brunel University, UK.
Prof. Guan has worked in a prestigious R&D organization for several years, serving as a design engineer, project leader, and department manager. After leaving the industry, he joined Yuan-Ze University in Taiwan for three and half years. He served as deputy director for the Computing Center and the chairman for the Department of Information & Communication Technology. Later he joined the Electrical & Computer Engineering Department at National University of Singapore as an associate professor.
Prof. Guan's research interests include: machine learning, modeling, security, networking, and pseudorandom number generation. He has published extensively in these areas, with 130+ journal papers and 180+ book chapters or conference papers. He has chaired and delivered keynote speech for 30+ international conferences and served in 150+ international conference committees and 20+ editorial boards..
Dr. Chee Wei Tan
College of Science and Engineering, City University of Hong Kong, Hong Kong
Dr. Chee Wei Tan is an Associate Professor at the City University of Hong Kong. He received his M.A. and Ph.D. degree from Princeton University. Dr. Tan was the recipient of the Princeton University Gordon Wu Prize for Excellence in 2008 and was twice selected to participate at the USA National Academy of Engineering China-America Frontiers of Engineering Symposium. His research interests include networks, statistical inference in data analytics, cyber-security, information theory, optimization theory and its applications. He serves as an Editor of the IEEE Transactions on Communications and an Editor of the IEEE/ACM Transactions on Networking.
Speech Title: Programming for adaptive and
Abstract: This talk introduces the
architecture and the software stack of the large-scale
project “Highly Adaptive and Energy-efficient Computing”
(HAEC) at the TU Dresden. It then focuses on the
programming languages, methodologies and compilers that
enable programs to execute in an adaptive
energy-efficient fashion. In particular, the talk
discusses dataflow programming languages and compilers
for embedded high-performance computing, and techniques
that allow the runtime system to dynamically select
application implementations depending on the user
demands and the current state of the system.
Biography: Jeronimo Castrillon is a professor in the Department
of Computer Science at the TU Dresden, where he is also
affiliated with the Center for Advancing Electronics
Dresden (CfAED). He received the Electronics Engineering
degree from the Pontificia Bolivariana University in
Colombia in 2004, the master degree from the ALaRI
Institute in Switzerland in 2006 and the Ph.D. degree
(Dr.-Ing.) with honors from the RWTH Aachen University
in Germany in 2013. His research interests lie on
methodologies, languages, tools and algorithm