Professor Henry Leung is a professor of the Department of Electrical and Computer Engineering of the University of Calgary. Before joining U of C, he was with the Department of National Defence (DND) of Canada as a defence scientist. His main duty there was to conduct research and development of automated surveillance systems, which can perform detection, tracking, identification and data fusion automatically as a decision aid for military operators. His current research interests include big data analytic, chaos and nonlinear dynamics, information fusion, machine learning, signal and image processing, robotics and internet of things. He has published extensively in the open literature on these topics. He has over 200 journal papers and 200 refereed conference papers. Dr. Leung has been the associate editor of various journals such as the IEEE Circuits and Systems Magazine, International Journal on Information Fusion, IEEE Signal Processing Letters, IEEE Trans. Circuits and Systems. He has also served as guest editors for the special issue “Intelligent Transportation Systems?for the International Journal on Information Fusion and “Cognitive Sensor Networks?for the IEEE Sensor Journal. He is the topic editor on “Robotic Sensors?of the International Journal of Advanced Robotic Systems. He is the editor of the Springer book series on “Information Fusion and Data Science? He is a Fellow of IEEE and SPIE.

Abstract: In this tutorial we will present the basic components of a multiple sensory processing system for sensor networks. The multi-sensor processing system includes sensor registration, data association and its use in multiple object tracking, fusion, situation assessment, path planning and how these components work together to combine information for surveillance. A goal-driven net-enabled distributed sensing approach is presented for sensor surveillance. Multiple platforms including mobile such as maritime patrol aircraft, helicopters, unmanned aerial vehicles, and ships and fixed surveillance assets such as land radar are deployed to identify, assess and track moving, stopped or drifting objects in a large geographic area. A simultaneous registration, association and fusion method is proposed for lower level information fusion, and machine intelligence is applied for situation assessment and path planning. Decision making is performed on basic sub-goals and the sub-goal decisions are combined together for goal reasoning. We will use sensor networks such as radar networks, camera networks, multi-sensor networks and robotics for illustration.

Professor (Assistant) Mahdi H. Miraz is currently working as a Postdoctoral Research Fellow at the Centre for Financial Regulation and Economic Development (CFRED), The Chinese University of Hong Kong (CUHK). Prior to joining CUHK, he was an Assistant Professor of Network Engineering at the School of Computer Studies, AMA International University BAHRAIN (AMAIUB). He is also working as a Visiting Fellow at the Centre for Ultra-realistic Imaging (CURI), Wrexham Glyndwr University, UK. He had been serving as the Director of UoH Cisco Network Academy as well as a Lecturer, School of Computer Science & Engineering, University of Hail, KSA since 2009. He is also serving as one of the Associate Editors, Annals of Emerging Technologies in Computing AETiC), an international journal published by IAER. He is an Dell EMC certified Cloud Infrastructure and Services (CIS) Instructor, Cisco Certified Network Academy Instructor (CCAI). He is a former GO Wales (A Welsh Assembly Government Placement Scheme) intern, former MSP (Microsoft Student Partner) for Glyndwr University and former YPG (Young Professional Group) Representative of the British Computer Society (BCS). He obtained his PhD in Computing in 2016, MSc in Computer Networking in 2009 as well as BSc (Hons) in Computer Networks all from Glyndwr University, Wrexham, UK. He is an ex-cadet of Barisal Cadet College (BCC), Bangladesh, where he completed his secondary and higher secondary education. He is also a Fellow of the International Association of Educators and Researchers (FIAER), Fellow of Association of Scientists, Developers and Faculties (ASDF), Invited Member of the Asian Council of Science Editors (ACSE), Member (MIEEE) of the Institute of Electrical & Electronics Engineering (IEEE), Member (MBCS) of the British Computer Society Member of the International Association of Computer Science & Information Technology (IACSIT), Member (MIAENG) of the International Association of Engineers (IAENG), Member of the Internet Society (ISOC) and its UK Chapter, Academic Advisor, Creative International College Training & Research (CICTR), Research Member of the Centre for Creative and Applied Research for the Digital Society (CARDS), Glyndwr University, UK. His research interests are in Blockchain, Networking Technologies & Algorithms, Cloud Computing, Internet of Things (IoT), Human-Computer Interaction (HCI) & User Interface Design, Usability, Web Accessibility, Universal Usability, Cross-cultural Usability & IS (Information System) issues, M-Learning (Mobile Learning) & E-Learning..

Abstract: This tutorial will use Bitcoin Blockchain as the main focus of the discussion while comparing with other variations of Blockchain technologies as being applied in various domains such as FinTech, RegTech and IoT.