IMPORTANT NOTE: The safety and well-being of all participants is our priority. Due to COVID-19 circumstances, Future Technologies Conference (FTC) 2020 will be held as an online/virtual event on 5 & 6 November 2020.


Mehrdad (Mark) Ehsani

Mehrdad (Mark) Ehsani

Robert M. Kennedy Professor, Texas A&M University

Mark Ehsani is the Robert M. Kennedy Endowed Professor of electrical engineering and Director of Sustainable Energy and Vehicle Engineering Research Program and the Power Electronics and Motor Drives Laboratory at Texas A&M University. He has served in leadership positions of several IEEE Societies, including their governing boards. He has been honored by various international organizations over 140 times, including IEEE Field Award for undergraduate Teaching and IEEE Vehicular Technology Society Avant Garde Award. He is the co-author of over 400 publications, 20 books, over 30 US and EU patents, and has been a consultant to over 60 international companies and government agencies. He is a Life Fellow of IEEE and a Fellow of SAE

Keynote Title: A Global Perspective on Sustainable Energy and Transportation

Abstract: There is plenty of hydro-carbon resource energy available on earth, for hundreds of years. The urgency of sustainable energy and transportation problem is from population, global warming, and equitable access to energy for all humanity. The way forward is to help the developing world (90% of population that dominates the future emissions) with “clean” energy, rather than making the developed world clean (the 10% solution). This has to be done by appropriate technologies, consistent with sound business plans, and market based economy. This presentation offers the engineering and economic foundations of the above proposition. Case studies and example technologies from the author’s group at Texas A&M University will be presented as specific illustrations

Yingxu Wang

Yingxu Wang

Professor, University of Calgary

Yingxu Wang is professor of cognitive systems, brain science, software science, and denotational mathematics. He is the Founding President of International Institute of Cognitive Informatics and Cognitive Computing (ICIC). He is Fellow of BCS, ICIC and WIF, P.Eng, and Senior Members of IEEE and ACM. He has held visiting professor positions at Univ. of Oxford (1995, 2018-20), Stanford Univ. (2008, 16), UC Berkeley (2008), and MIT (2012). He received a PhD in Computer Science from the Nottingham Trent University, UK, in 1998 and has been a full professor since 1994. He is the founder and steering committee chair of IEEE Int’l Conference Series on Cognitive Informatics and Cognitive Computing (ICCI*CC) since 2002. He is founding Editor-in-Chiefs of Int’l Journal of Cognitive Informatics & Natural Intelligence, of Software Science & Computational Intelligence, and of Mathematical & Computational Methods. He is Associate Editor of IEEE Trans. on Systems, Man, and Cybernetics-Systems (TSMC-Systems), Cognitive and Development Systems (TCDS), and SMCM, and the IEEE Computer Society Representative to the steering committee of TCDS. He is Chair of IEEE SMCS TC-BCS on Brain-inspired Cognitive Systems, and Co-Chair of IEEE CS TC-CLS on Computational Life Science. He is an IEEE FDC Steering Board Member on Symbiotic Autonomous Systems Initiative, and members of the IEEE Brain and SPS Autonomous Systems Initiatives. Dr. Wang is recognized by Google search as the initiator of a few cutting-edge research fields including cognitive informatics, cognitive computers, denotational mathematics (concept algebra, process algebra, system algebra, semantic algebra, big data algebra, and visual semantic algebra), abstract intelligence (aI), the 3rd generation of information theory in the knowledge space, the spike frequency modulation (SFM) theory of neurology, mathematical modeling of the brain, the 6th category of machine knowledge learning, the discovery of the basic unit of knowledge as a binary relation (bir), and the cognitive knowledge base theory. His basic studies have been across contemporary disciplines of sciences including systems, cybernetics, intelligence, robotics, knowledge, computer, information, brain, cognition, software, data, neurology, and linguistics sciences.

Keynote Title: How Will Autonomous Systems and Cognitive Robots Augment Human Intelligence?

Abstract: Intelligence has been a gifted power and privilege of humans naturally generated by the brain. However, machine intelligence is emerging pervasively triggered by human curiosity and the maturing understanding of the brain. The untrivial development will lead to a contemporary artifact of hybrid intelligence. This keynote lecture analyzes the cognitive advantages and disadvantaged of human and machine intelligence, where the former contributes inductive power, creative problem-solving ability, and the adaptivity for dealing with uncertainty; while the latter provides a fast iterative engine, accurate interaction to sensors/servos, and explicit access to addressable memory. The talk will elaborate how hybrid intelligence may be generated for augmenting human’s and machine’s intelligent power to an unprecedented level by hybrid intelligence. Three paradigms of hybrid intelligent systems will be presented: a) The sixth form of machine learning, i.e., Machine Knowledge Learning (MKL), as an ultimate goal of human learning where the basic unit of knowledge is discovered as a binary relation (bir) [Wang, 2018]; b) Cognitive Robots (CR); and c) Autonomous Systems (AS). One of the ground-breaking advances in hybrid intelligence systems is their ability to learn human knowledge in order to comprehend the semantics for rational inferences rather than symbolic ones underpinned by concept algebra and semantic algebra. Another key development is on autonomous decision making by AS driven by inference algebra for deriving complex decisions in real-time and mission-critical systems.

Steven Furnell

Steven Furnell

Professor, University of Nottingham

Steven Furnell is a professor of cyber security at the University of Nottingham in the UK. He is also an Adjunct Professor with Edith Cowan University in Western Australia and an Honorary Professor with Nelson Mandela University in South Africa. His research interests include usability of security and privacy, security management and culture, and technologies for user authentication and intrusion detection. He has authored over 320 papers in refereed international journals and conference proceedings, as well as books including Cybercrime: Vandalizing the Information Society and Computer Insecurity: Risking the System. Prof. Furnell is the current Chair of Technical Committee 11 (security and privacy) within the International Federation for Information Processing, and a member of related working groups on security management, security education, and human aspects of security. He is also a board member of the Chartered Institute of Information Security and chairs the academic partnership committee.

Keynote Title: Cybersecurity Literacy - Who knows what we should know?

Abstract: There is no doubt that all users of online technology need some knowledge of cybersecurity. However, what is less clear is exactly what they should know, and how they should come to know it. In actual fact, as our use of data, devices and services broadens, so too does the core knowledge and skillset required to protect ourselves. In this presentation, Steven Furnell considers the basic skillset that we ought to be aiming for, and examines the challenges of actually achieving it in practice – especially when confronted with many and varied sources of guidance, and the inconsistent advice they may be offering. The discussion uses the specific example of password guidance (something we have arguably had several decades to agree upon) in order to illustrate some specifics of the problem at hand, and then considers strategies for improving societal cyber literacy as we move forward.