Professor Jun Wang
FIEEE, FIAPR, MAE
Chair Professor of Computational Intelligence, Department of Computer Science and School of Data Science, City University of Hong Kong, China

Areas of Expertise: Computational intelligence, Neural computation, Optimization methods, Data processing, Intelligent control

Brief Introduction: Jun Wang is a Chair Professor of Computational Intelligence in the Department of Computer Science and School of Data Science at City University of Hong Kong. Prior to this position, he held various academic positions at Dalian University of Technology, Case Western Reserve University, University of North Dakota, and Chinese University of Hong Kong. He also held various part-time visiting positions at US Air Force Armstrong Laboratory, RIKEN Brain Science Institute, Huazhong University of Science and Technology, Dalian University of Technology, and Shanghai Jiao Tong University as a Changjiang Chair Professor. He received a B.S. degree in electrical engineering and an M.S. degree in systems engineering from Dalian University of Technology, Dalian, China. He received his Ph.D. degree in systems engineering from Case Western Reserve University, Cleveland, Ohio, USA. His current research interests include neural networks and their applications. He published about 280 journal papers, 15 book chapters, 11 edited books, and numerous conference papers in these areas. He is the Editor-in-Chief of the IEEE Transactions on Cybernetics. He also served as an Associate Editor of the IEEE Transactions on Neural Networks (1999-2009), IEEE Transactions on Cybernetics and its predecessor (2003-2013), and IEEE Transactions on Systems, Man, and Cybernetics – Part C (2002–2005), as a member of the editorial advisory board of International Journal of Neural Systems (2006-2013), and a member of the editorial board of Neural Networks (2012-2014) as a guest editor of special issues of European Journal of Operational Research (1996), International Journal of Neural Systems (2007), Neurocomputing (2008, 2014, 2016), and International Journal of Fuzzy Systems (2010, 2011). He was an organizer of several international conferences such as the General Chair of the 13th International Conference on Neural Information Processing (2006) and the 2008 IEEE World Congress on Computational Intelligence, and a Program Chair of the IEEE International Conference on Systems, Man, and Cybernetics (2012). He has been an IEEE Computational Intelligence Society Distinguished Lecturer (2010-2012, 2014-2016). In addition, he served as President of Asia Pacific Neural Network Assembly (APNNA) in 2006 and many organizations such as IEEE Fellow Committee (2011-2012); IEEE Computational Intelligence Society Awards Committee (2008, 2012, 2014), IEEE Systems, Man, and Cybernetics Society Board of Directors (2013-2015), He is an IEEE Life Fellow, IAPR Fellow, foreign member of Academia Europaea, and a recipient of an IEEE Transactions on Neural Networks Outstanding Paper Award and APNNA Outstanding Achievement Award in 2011, Natural Science Awards from Shanghai Municipal Government (2009) and Ministry of Education of China (2011), and Neural Networks Pioneer Award from IEEE Computational Intelligence Society (2014), among others.

Professor Yong Yue
BEng, PhD, CEng, FIET, FIMechE, FHEA
Professor at the Department of Computing, Director of the Virtual Engineering Centre (VEC), Xi'an Jiaotong-Liverpool University (XJTLU), China

Areas of Expertise: Virtual Reality, Computer Vision, Robot Applications, Operations Research

Brief Introduction: Professor Yong Yue (CEng, FIET, FIMechE, FHEA) is currently Director of the Virtual Engineering Centre (VEC) at Xi'an Jiaotong-Liverpool University (XJTLU) where he was the Head of the Department of Computer Science and Software Engineering (2013-2019). Prior to joining XJTLU, he had held various positions in industry and academia in China and the UK, including Engineer, Project Manager, Professor, Director of Research and Head of Department. Professor Yue has led a wide variety of research and professional projects supported by major funding bodies and industry. He has also lead curriculum development at both undergraduate and postgraduate levels. He has over 240 peer-reviewed publications and supervised 27 PhD students to successful completion. Professor Yue has been on editorial board for several international journals and served as chair and keynote speaker for a number of international conferences.

Professor Rajanikanth Aluvalu
SMIEEE | Member-ACM | Member -Mirlabs | Life member ISTE | Member EAI
Department of IT, Chaitanya Bharathi Institute of Technology, India

Areas of Expertise: High Performance Computing, Bigdata and AI

Prof. Yousef FARHAOUI
Moulay Ismail University, Faculty of sciences and Techniques, Morocco

Areas of Expertise: Artificial intelligence, Design and analysis of algorithms, High-Performance Computing, Human-Computer Interaction…

Brief Introduction: Chair of IDMS Team, Director of STI laboratory. Local Publishing and Research Coordinator, Cambridge International Academics in United Kingdom. He obtained his Ph.D. degree in Computer Security from Ibn Zohr University of Science. His research interests include learning, e-learning, computer security, big data analytics, and business intelligence. Farhaoui has three books in computer science. He is a coordinator and member of the organizing committee and also a member of the scientific committee of several international congresses, and is a member of various international associations. He has authored 6 Book and many Book Chapters with Reputed Publishers such as Springer and IGI. He is served as a Reviewer for IEEE, IET, Springer, Inderscience and Elsevier Journals. He is also the Guest Editor of many Journals with Wiley, Springer, Inderscience, etc. He has been the General Chair, Session Chair, and Panelist in Several Conferences. He is Senior Member of IEEE, IET, ACM and EAI Research Group.

Assoc. Prof Selvakumar Manickam
National Advanced IPv6 Centre
Universiti Sains Malaysia, Malaysia

Areas of Expertise: Cybersecurity, Internet of Things, Industry 4.0, Cloud Computing, Big Data, and Machine Learning

Brief Introduction: Prof Selvakumar Manickam has authored and co-authored more than210 articles in journals, conference proceedings, and book reviews and graduated 18PhDs in addition to masters and undergraduate students. He has given several keynote speeches and dozens of invited lectures and workshops at conferences, international universities, and industry. He has given talks and training on Internet Security, Internet of Things, Industry 4.0, IPv6, Machine Learning, Software Development, Embedded & OS Kernel technologies at various organizations and seminars. He also lectures in various Computer Science and IT courses, including developing new courseware in tandem with current technology trends. Dr. Selva is involved in various organizations and forums locally and globally. Previously, he was with Intel Corporation and fa ew start-ups working in related areas before moving to academia. While building his profile academically, he is still very involved in industrial projects involving SECS/GEM communication protocol, robotic process automation, machine learning, and data analytics using open-source platforms. He also has experience building IoT, embedded, server, mobile, and web-based applications.