Yingxu Wang, PhD, Professor, FIEEE, FBCS, FI2CICC, FAAIA, FWIF, P.Eng
President, International Institute of Cognitive Informatics and Cognitive Computing (I2CICC)
Visiting Professor: Stanford Univ. (2008|2016), MIT (2012), UC Berkeley (2008), Oxford Univ. (1995|2018-2023)
Distinguished Visiting Professor, Tsinghua Univ. (2019-22), Schulich School of Engineering and Hotchkiss Brain Institute, University of Calgary, 2500 University Drive NW, Calgary, Alberta, Canada T2N 1N4
https://www.i2cicc.org/ Email: yingxu@ucalgary.ca
Speech Title: Challenges of Autonomous AI (AAI) to Information, Computer, and Intelligence Sciences
Keywords: Intelligence science, Autonomous AI (AAI), brain-inspired systems, Cognitive Computers ((C), Intelligent Mathematics (IM), intelligent computing, challenges.
Prof. Maode MA, KINDI Center for Computing Research, College of Engineering
Qatar University, Qatar
Speech Title: Security Enhancements for 5G Wireless Networks
Abstract: Recently, the Fifth Generation (5G) wireless networks become a major carrier for wireless communications that supports the Internet of Everything and large-scale heterogeneous connections. Nowadays, the 5G wireless networks have been deployed in many countries in the world such as Qatar, where 5G commercial services are available to end-users. 5G wireless networks present a lot of promising and advanced features. Since the introduction of new techniques and new features makes 5G wireless networks face several new security challenges, it is critical to design strong security functionality to protect the operation of 5G wireless networks. The Third Generation Partnership Project (3GPP) has produced the Technical Specification TS 23.501 R16 to specify various functions of 5G wireless network with corresponding security mechanisms. Some other pioneering research works have enhanced the security mechanisms specified by the 3GPP. In this talk, I will simply introduce the architecture of 5G wireless networks specified by the 3GPP Technical Specification TS 23.501 R16. I would like to summarize some followed-up research work with the aim of achieving a compromise between the security functionality and the performance of the 5G wireless networks. A series of proposed solutions targeting to provide security protection with high efficiency over the 5G wireless networks in a few network scenarios will be introduced and discussed. Finally, further potential research directions on security 5G wireless networks will be disclosed to promote research activities in this exciting research field.
Biography of the Speaker: Prof. Maode Ma, a Fellow of IET, received his Ph.D. degree from the Department of Computer Science at the Hong Kong University of Science and Technology in 1999. Now, Prof. Ma is a Research Professor ...more...
Prof. Constantin Morarescu
Head of department "Réseaux & Télécommunications", IUT Nancy-Brabois
University of Lorraine, France
Areas of Expertise: Dynamical Systems, Control theory and applications
Brief Introduction: Prof. Constantin Morarescu received the B.S. and M.S. degrees in mathematics from the University of Bucharest, Bucharest, Romania, in 1997 and 1999, respectively, the Ph.D. degree in mathematics from the University of Bucharest in 2006, and in technology of information and systems from the University of Technology of Compiègne, Compiègne, ...more...
Prof. Shancheng Zhao
Head of the Department of Electronic Engineering, College of Information Science and Technology
Jinan University, China
Areas of Expertise: Error Correcting Codes and Their Applications
Brief Introduction: Shancheng Zhao received the bachelor's degree in software engineering and Ph.D. degree in communication and information systems from Sun Yat-sen University, Guangzhou, China, in 2009 and 2014, respectively. From 2013 to 2014, he was a Graduate Visiting Student with the University of California at Los Angeles, Los Angeles, CA, USA. ...more...
Prof. Mohamad Sawan
FIEEE, FCAE, FEIC, O.Q.
Chair Professor, Westlake University (西湖大学)
Coordinator, Electrical and Information Engineering Program
Founder & Director, CenBRAIN Neurotech, School of Engineering (工学院),
Emeritus Professor, Polytechnique Montreal
VP Publications, IEEE-CAS Society
Google Scholar: 11000 Citations, H-Index: 48 (January 2021)
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. ...more...
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, ...more...
Assoc. Professor Tay, Wee Peng
School of Electrical and Electronic Engineering,
Nanyang Technological University，Singapore
Speech Title: Data-Driven Privacy Sanitization with Regularization
Abstract: Raw data collected by a service provider to perform decision making for authorized tasks may allow it to infer other sensitive information it has not been authorized for. Cameras are widely used for in-vehicle monitoring. The raw video recorded by these cameras maybe abused by a service provider for other purposes. In this talk, I will describe a data sanitization framework that balances between utility and privacy. It incorporates regularization to ensure the sanitized data is compatible with a service provider's legacy learning systems, which were trained on the raw unsanitized data. I will describe a framework to perform video sanitization, where a driver’s personal actions, while still maintaining utility like detecting abnormal driver behaviors. This framework can also be applied to protecting the privacy of driving trajectories.
Brief Introduction: Dr Tay received the B.S. degree in Electrical Engineering and Mathematics, and the M.S. degree in Electrical Engineering from Stanford University, Stanford, CA, USA, in 2002. He received the Ph.D. degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology, Cambridge, MA, USA, in 2008. He is currently an Associate Professor in the School of Electrical and Electronic Engineering at Nanyang Technological University, Singapore. ...more...
Professor Huiyu Zhou School of Computing and Mathematical Sciences, University of Leicester, UK.
Speech Title: Addressing uncertainly issues in image understanding
Abstract: There are many questions to answer in image interpretation and understanding. Uncertainty in image analysis needs strong and powerful modelling tools to describe the objects in the images. Artificial intelligence (AI) plays a very important role in the design of a robust tool for image representation. Using some examples from his own work on uncertainty analysis, Prof. Zhou will explore how AI can stimulate new concepts or development of dealing with complicated problems and lead us to novel adventures through these applications. Keywords: Artificial intelligence, image understanding, medical application, object detection and tracking.
About the Keynote Speaker: Dr. Huiyu Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China, and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom. Dr. Zhou currently is a full Professor at School of Computing and Mathematical Sciences, University of Leicester, United Kingdom. He has published over 450 peer-reviewed papers in the field. He was the recipient of "CVIU 2012 Most Cited Paper Award", "MIUA 2020 Best Paper Award", "ICPRAM 2016 Best Paper Award" and was nominated for "ICPRAM 2017 Best Student Paper Award" and "MBEC 2006 Nightingale Prize". His research work has been or is being supported by UK EPSRC, ESRC, AHRC, MRC, EU, Royal Society, Leverhulme Trust, Invest NI, Puffin Trust, Alzheimer's Research UK, Invest NI and industry. Homepage: https://le.ac.uk/people/huiyu-zhou
Prof. Rajanikanth Aluvalu
Department of IT, Chaitanya Bharathi Institute of Technology, India
Areas of Expertise: High Performance Computing, Bigdata and AI
Brief Introduction: Rajanikanth Aluvalu (Senior Member, IEEE) received the Ph.D. degree in cloud computing as specialization. He is currently working as an Associate Professor with the Department of IT, Chaitanya Bharathi Institute of Technology, Hyderabad, India. Formerly, he had held positions, including a Professor and the Head of the Department of CSE, Vardhaman College of Engineering, Hyderabad; ...more...