Prof. David Greenhalgh, University of Strathclyde, UK

Dr. David Greenhalgh is a Reader in Mathematics and Statistics at the University of Strathclyde, Glasgow, United Kingdom. He graduated from the University of Cambridge, UK, with a first class honours degree in Mathematics in 1980 and obtained a distinction in Part III Mathematics, also from the University of Cambridge in 1981. He obtained a Ph.D. in Operational Research in 1984 from Cambridge University Engineering Department. He moved to Imperial College as an MRC Training Fellow and then to University of Strathclyde as Lecturer, Senior Lecturer and Reader, his current position. Dr. Greenhalgh specializes in mathematical and statistical models in biology and medicine and has published over eighty papers in international refereed journals and over seventy papers published from conferences. He has supervised or co-supervised nineteen research students (seventeen at PhD level). He has been widely involved in the organization of over fifty international conferences and given over forty keynote, plenary and invited talks. He is or has been on the editorial board of seventeen international journals. He is currently the Executive Editor of Journal of Biological Systems and Deputy Director of the Centre for Mathematics Applied to the Life Sciences, University of Glasgow, Scotland. He is on the EPSRC (Engineering and Physical Sciences Research Council) Mathematics Peer Review College and has served on many MRC (Medical Research Council) Funding Panels. He has obtained funding from EPSRC, MRC, The Wellcome Trust, the Brazilian Government, the Technology Strategy Board, the Royal Society and the Royal Society of Edinburgh. He has research interests in mathematics and statistics applied to medical and biological problems including theory of convergence of genetic algorithms, and signal and image processing methods involving multi-mask and multi-resolution filters. He has been involved in statistical work to develop automatic detection of outbreaks of infectious disease organisms, in collaboration with Health Protection Scotland (HPS). This laid the foundation of the current outbreak detection system used by HPS. He has also been involved in development of computer-based statistical methods to detect unrecognized replication in medical (HIV) datasets, in collaboration with the Public Health Laboratory Service, now Public Health England.

 

Prof. Tianrui Li, Southwest Jiaotong University, China

Tianrui Li received his B.S. degree, M.S. degree and Ph.D. degree from the Southwest Jiaotong University, China in 1992, 1995 and 2002 respectively. He was a Post-Doctoral Researcher at Belgian Nuclear Research Centre (SCK • CEN), Belgium from 2005-2006, a visiting professor at Hasselt University, Belgium in 2008, the University of Technology, Sydney, Australia in 2009 and the University of Regina, Canada in 2014. And, he is presently a Professor and the Director of the Key Lab of Cloud Computing and Intelligent Technique of Sichuan Province, Southwest Jiaotong University, China. Since 2000, he has co-edited 6 books, 10 special issues of international journals, 14 proceedings, received 3 Chinese invention patents and published over 200 research papers (e.g., IEEE Transaction on Knowledge and Data Engineering, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Information Forensics & Security, IEEE Transactions on Audio Speech and Language Processing, IEEE Transactions on Industrial Electronics, IEEE Transactions on Cybernetics, IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, Information Science) in refereed journals and conferences (e.g., KDD, IJCAI, UbiComp). Two papers were ESI Hot Papers and Eleven papers was ESI Highly Cited Papers. His Google H-index is 30. He was recognized as the Top 1% Scientists (ranked 725/3031) in the field of Computer Science based on Thomson Reuter's Essential Science Indicators (ESI) in June 2017. He serves as area editor of International Journal of Computational Intelligence Systems (SCI), editor of Knowledge-based Systems (SCI) and Information Fusion (SCI), etc. He has served as IEEE ICCC2015-2017 chairs, ICMLC2017-2018 chairs, ISKE2007-2017, CRSSC2015, CWI2014, JRS2012 program chairs, IEEE HPCC 2015, GrC 2009 program vice chairs and RSKT2008, FLINS2010 organizing chairs, etc. and has been a reviewer for several leading academic journals. He is an IRSS fellow, a Distinguished Member of CCF, a senior member of ACM, IEEE, CAAI, ACM SIGKDD member, Chair of IEEE CIS Chengdu Chapter, Treasurer of ACM SIGKDD China Chapter and CCF YOCSEF Chengdu Chair (2013-2014). Over sixty graduate students (including 8 Post-Docs, 12 Doctors) have been trained. Their employment units include Microsoft Research Asia, Sichuan University, Huawei, Alibaba, Tencent, Didi and Baidu. They have received 2 "Si Shi Yang Hua" Medals, Best Papers/Dissertation Awards 13 times, Champion of Sina Weibo Interaction-prediction at Tianchi Big Data Competition (Bonus 200,000 RMB), Second Place of Social Influence Analysis Contest of IJCAI-2016 Competitions. 

 

 

Assoc. Prof. Lipo Wang, Nanyang Technological University, Singapore

Dr. Lipo Wang received the Bachelor degree from National University of Defense Technology (China) and PhD from Louisiana State University (USA). His research interest is intelligent techniques with applications to communications, image ideo processing, biomedical engineering, and data mining. He is (co-)author of over 270 papers, of which more than 90 are in journals. He holds a U.S. patent in neural networks and a Chinese patent in VLSI. He has co-authored 2 monographs and (co-)edited 15 books. He was/will be keynote/panel speaker for 25 international conferences. He is/was Associate Editor/Editorial Board Member of 30 international journals, including 3 IEEE Transactions, and guest editor for 10 journal special issues. He is an AdCom member of the IEEE Computational Intelligence Society (CIS) for 2 terms and served as CIS Vice President for Technical Activities and Chair of Emergent Technologies Technical Committee. He is a member of the Board of Governors of the International Neural Network Society (2011-2016) and was an AdCom member of the IEEE Biometrics Council. He served as Chair of Education Committee, IEEE Engineering in Medicine and Biology Society (EMBS). He was President of the Asia-Pacific Neural Network Assembly (APNNA) and received the APNNA Excellent Service Award. He was founding Chair of both the EMBS Singapore Chapter and CIS Singapore Chapter. He servesrved as chair/committee members of over 200 international conferences.