IPMV 2020-Speakers

Prof. Jiannong Cao, IEEE Fellow, Hong Kong Polytechnic University, Hong Kong

Dr. Cao is currently a Chair Professor of Department of Computing at The Hong Kong Polytechnic University, Hong Kong. He is also the director of the Internet and Mobile Computing Lab (IMCL) in the department and the director of University’s Research Facility in Big Data Analytics (UBDA). His research interests include parallel and distributed computing, wireless sensing and networks, pervasive and mobile computing, and big data and cloud computing. He has co-authored 5 books, co-edited 9 books, and published over 600 papers in major international journals and conference proceedings. He received Best Paper Awards from conferences including, IEEE Trans. Industrial Informatics 2018, IEEE DSAA 2017, IEEE SMARTCOMP 2016, IEEE/IFIP EUC 2016, IEEE ISPA 2013, IEEE WCNC 2011, etc.

Dr. Cao has directed and participated in over 90 research and development projects and, as a principal investigator, obtained over HK$60 million grants from funding agencies such as National Natural Science Foundation of China (NSFC), Ministry of Science and Technology of P. R. China (MOST), Hong Kong Research Grant Council (RGC), Hong Kong Innovation and Technology Commission (ITC), Hong Kong Construction Industry Council, The Society of Hong Kong Scholars, and industries like Alibaba, Huawei, IBM and Nokia. Dr. Cao has also involved in the development of 13 patents.

Dr. Cao served the Chair of the Technical Committee on Distributed Computing of IEEE Computer Society 2012-2014, a member of IEEE Fellows Evaluation Committee of the Computer Society and the Reliability Society, a member of IEEE Computer Society Education Awards Selection Committee, a member of IEEE Communications Society Awards Committee, and a member of Steering Committee of IEEE Transactions on Mobile Computing. Dr. Cao has also served as chairs and members of organizing and technical committees of many international conferences, and as associate editor and member of the editorial boards of many international journals. Dr. Cao is a fellow of IEEE and ACM distinguished member. In 2017, he received the Overseas Outstanding Contribution Award from China Computer Federation.

Prof. Liming (Luke) Chen, IET Fellow, Ulster University, UK

Liming (Luke) Chen is Professor of Data Analytics in the School of Computing at Ulster University, UK. His current research interests include data analytics, pervasive computing, artificial intelligence, user-centred intelligent systems and their applications in smart healthcare. He is currently the coordinator of the EU Horizon2020 MSCA ITN ACROSSING project and has serves as the principal investigator for the EU AAL PIA project, the MobileSage project and FP7 MICHELANGELO project, and a number of projects funded by industry and third countries. Liming has over 220 publications in internationally recognised journals, book series and conferences. He is the general chair or program chair for IEEE Smart World Congress 2019, IEEE UIC2017, IEEE HealthCom2017, SAI Computing 2017, IEEE UIC2016, IntelliSys2016, MoMM2015/2014/2013, SAI2015/2013, IWAAL2014, UCAMI2013, and an organising chair of many workshops such as Romart-City2016 and SAGAware2015/2012, associate editor of IEEE THMS, assistant EIC for IJPCC and guest editors for IEEE THMS, PMC and IJDSN.

Liming is an IET Fellow, an IEEE Senior Member, a co-founder and co-director of the UK-China Gait and Health Innovation Institute, the DMU-USTB (University of Science and Technology Beijing, China) Joint Research Lab. on Smart Healthcare, and the IEEE CIS ”User-centred Smart Systems” Task Force. He is research funding body review experts for the UK, European Commissions (Horizon2020), Canada, Denmark, Chile, Netherlands, Spain and Norway. He has delivered over 20 talks, keynotes and seminars in various forums, conferences, industry and academic events.

Prof. Yifei Pu, Sichuan University, China

Yi-Fei PU received Ph.D. from College of Electronics and Information Engineering, Sichuan University, China, in 2006.

He is a Full Professor, and Doctoral Supervisor with the College of Computer Science, Sichuan University, is the chief technology officer of Chengdu PU Chip Science and Technology Co., Ltd, and is elected into the Thousand Talents Program of Sichuan Province and the Academic and Technical Leader of Sichuan Province. He focuses on the application of fractional calculus and fractional partial differential equation to signal analysis, signal processing, image processing, circuits and systems, and machine intelligence. He has published with the first author’s identity about 20 papers indexed by SCI in journals such as International Journal of Neural Systems, IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Circuits and Systems I: Regular Papers, IEEE Internet of Things Journal, IEEE Intelligent Transportation Systems Magazine, IEEE Intelligent Systems, IEEE/CAA Journal of Automatica Sinica, IEEE Access, Mathematic Methods in Applied Sciences, Science in China Series F: Information Sciences, Science China Information Sciences, Frontiers of Information Technology & Electronic Engineering, etc. He held several research projects, such as National Key Research and Development Program Foundation of China, National Nature Science foundation of China, Returned Overseas Chinese Scholars Project of Education Ministry of China, etc., and holds 14 China Inventive Patents as the first or single inventor. He has won the Wu Wen Jun AI Science & Technology Award in 2018 and the Tenth Annual Prize of the Progress in Basic Science of Sichuan University in 2019, respectively.

Prof. Fehmi Jaafar, Computer Research Institute of Montreal and Concordia University of Edmonton, Canada

Dr. Fehmi Jaafar is currently a Researcher at the Computer Research Institute of Montreal and an Affiliate Assistant Professor at the Department of Computer Science and Software Engineering at Concordia University.

Previously, he was an Adjunct Professor at Concordia University of Edmonton, a postdoctoral research fellow in Software Security at Queen’s University School of Computing in Kingston, and a postdoctoral research fellow at Polytechnique Montreal.

Dr. Fehmi Jaafar received his PhD from the Department of Computer Science at Montreal University, Canada. He is specialized in cybersecurity research, notably at Queens University and Polytechnique Montreal. Dr. Jaafar is interested in cybersecurity in the Internet of Things, in the analysis and the improvement of the security and quality of software systems, and in the application of machine learning techniques in cybersecurity.

His researches have been published in top venues in computer sciences, including the Journal of Empirical Software Engineering (EMSE) and the Journal of Software: Evolution and Process (JSEP). He established externally funded research programs in collaboration with Defence Canada, Safety Canada, NSERC, MITACS, industrial partners, and foreign universities. Currently, he is holding among other a Natural Sciences and Engineering Research Council Discovery Grant to secure the systnabality of the IoT plateforms.