Keynote Speakers

Cybersecurity - A Game Theory Approach: Issues, modelling and computer science applications

Prof. Dr. Sardar M. N. Islam (Naz)
ISILC, & Decision Sciences and Modelling Program, Victoria University, Australia

Cybersecurity is a multiagent system where intelligent agents interact, formulate strategies, fight, cooperate, coordinate, design systems, and plan actions to achieve their goals of cybersecurity or hacking and malicious damages. Game theory analyses and formulates strategies and designs rules or mechanisms for this cybersecurity multiagent system on the basis of artificial intelligence. For specifying, characterising and modelling and designing this intelligent multiagent system, mathematical game theory models of different forms can be developed, such as static, dynamic, evolutionary, differential and stochastic game theory models. Different algorithms such as Nash equilibrium, joint optimisation, evolutionary algorithms, neural networks, genetic algorithms, and other machine learning algorithms can be applied to different game theory models for analysing, solving, and computing these cybersecurity models. Findings from these models are used to formulate strategies, cooperate, coordinate, design systems, and plan actions by different intelligent agents and authorities in cybersecurity. Game theory application in cybersecurity is an important area in computer science for doing highly useful academic and practical cybersecurity activities and for academics and practitioners to build their careers. Therefore, it is necessary to prioritise this area of game theory in cybersecurity in computer science for research and development.

Short Bio:
Professor Dr. Sardar M. N. Islam (Naz) is Professior from Victoria University, Australia. As professor he has lived, studied, and worked in different countries and visited (extensively) different regions of the world for a long period, he adopts a global and humanistic approach in his research and academic works and he has undertaken rigorous scientific studies of emerging issues of different disciplines of artificial intelligence, business analytics, digitalisation, management science, etc. His academic work has gained international acclaim, resulting in many (1) Honours and Awards, (1) distinguished visiting or adjunct professorial appointments in different countries, (2) appointment in editorial roles of journals and (3) keynote speeches at international conferences in several countries. He has published 29 scholarly academic books in different disciplines. Each of these books makes significant scientific contributions to the literature. These books are published by prestigious publishers and the majority books are published in highly regarded book series. He has also published about 250 articles, including some top leading international journal articles in his specialised research areas.

Industry 4.0: Transforming the Traditional Industries to Next Generation Smart Factories

Dr. Anand Nayyar
Professor and Scientist, Graduate School, Duy Tan University, Da Nang, Viet Nam

Current Industry in almost every aspect is undergoing a transformation towards full digitalization and intelligentization of manufacturing processes via smart connectivity, networked entities, real-time data processing and pervasive information. The fourth Industrial revolution ¡°Industry 4.0¡± is announced by Germany in 2011 and is characterized by automation and digitization, collaborative robotics, 3D Printing, Optimization and Management of Assets, sharing and security of data, tracking parts from cradle to grave, big data analytics as above all Artificial Intelligence with strong support via Machine Learning and Deep Learning.
In this Lecture, I cover aspects with regard to Industrial Revolution, Driving Forces and Key technologies enabling Industry 4.0, Current challenges faced in real-time implementations, in-depth coverage with regard to Technical Terminologies like Cyber-Physical Systems, Smart Factories, Smart Manufacturing, Intelligent Technical Systems. The lecture will also enlighten current adaption of IIoT (Industrial Internet of Things) cum Automation of various industries across nook and corner around the world. In addition of this, lecture will provide key points towards Research areas in Industry 4.0 and future standard i.e. Industry X.0.

Short Bio:
Dr. Anand Nayyar received Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks and Swarm Intelligence. He is currently working in Graduate School, Duy Tan University, Da Nang, Vietnam. A Certified Professional with 75+ Professional certificates from CISCO, Microsoft, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more. Published 450+ Research Papers in various National & International Conferences, International Journals (Scopus/SCI/SCIE/SSCI Indexed) with High Impact Factor. Member of more than 50+ Associations as Senior and Life Member and also acting as ACM Distinguished Speaker. He has authored/co-authored cum Edited 30+ Books of Computer Science. Associated with more than 500 International Conferences as Programme Committee/Chair/Advisory Board/Review Board member. He has 5 Australian Patents to his credit in the area of Wireless Communications, Artificial Intelligence, IoT and Image Processing. He is currently working in the area of Wireless Sensor Networks, IoT, Swarm Intelligence, Cloud Computing, Artificial Intelligence, Blockchain, Cyber Security, Network Simulation and Wireless Communications. Awarded 30+ Awards for Teaching and Research¡ªYoung Scientist, Best Scientist, Young Researcher Award, Outstanding Researcher Award, Excellence in Teaching and many more. He is acting as Associate Editor for Wireless Networks (Springer), IET-Quantum Communications, IET Wireless Sensor Systems, IET Networks, IJDST, IJISP, IJCINI. He is acting as Editor-in-Chief of IGI-Global, USA Journal titled ¡°International Journal of Smart Vehicles and Smart Transportation (IJSVST)¡±.

Remote sensing and AI

Prof. Huiyu Zhou
School of Informatics, University of Leicester, UK

Abstract of the talk:
In this talk, I will first introduce what remote sensing images are about. Then, I describe the characteristics and classification of remote sensing images in different applications. Afterwards, I give an overview of the current challenges in remote sensing, before introducing some of our recent works. Finally, I predict the future work in remote sensing in addition to the summary of the talk as well as the introduction of the open data cube project.

Keywords: Remote sensing; artificial intelligence; challenges; object detection and classification.

Bio of the presenter:
Prof. 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 Professor at School of Informatics, University of Leicester, United Kingdom. He has published over 350 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". Dr. Zhou serves as the Editor-in-Chief of Recent Advances in Electrical & Electronic Engineering and Associate Editor of "IEEE Transaction on Human-Machine Systems", ¡°IEEE Journal of Biomedical and Health Informatics¡±, ¡°Pattern Recognition¡±, ¡°PeerJ Computer Science¡± and ¡°IEEE Access¡±, and Area Chair of IJCAI and BMVC. He is one of the Technical Committee of ¡°IEEE Cognitive and Development Systems¡±, ¡°Information Assurance & Intelligent Multimedia-Mobile Communication in IEEE SMC Society¡±, ¡°Robotics Task Force¡± and ¡°Biometrics Task Force¡± of the Intelligent Systems Applications Technical Committee, IEEE Computational Intelligence Society. He has given over 100 invited talks at international conferences, industry and universities, and has served as a chair for 70 international conferences and workshops. His research work has been or is being supported by UK EPSRC, MRC, EU, Royal Society, Leverhulme Trust, Puffin Trust, Alzheimer¡¯s Research UK, Invest NI and industry.

Intelligence Extenics: Five Layer-Intelligence of the Machine Brain

Dr. Wenfeng Wang
School of Electrical and Electronic Engineering, Shanghai Institute of Technology, China

In the past decades, machine intelligence has been rapidly developed. The current machine intelligence level can be summarized as ¡°five layer intelligence¡± - environments sensing, active learning, cognitive computing, intelligent decision making and automatic execution. The final goal is a real intelligence (termed as the machine brain) which would support machines to work as well as the human. Five layer intelligence is not the real intelligence, but it presents a frame of intelligence extenics and it is already on the way to the machine brain.

Short Bio:
Dr Wenfeng Wang is currently a full professor of School of Electrical and Electronic Engineering, Shanghai Institute of Technology. He is also the director of International Academy of Visual Art and Engineering in London and Shanghai JWE Technological Research Center. He has been invited as a tenure professor and the editor in chief of International Journal of Electronics and Engineering (IJEEE). He is also a key tallent in Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences (2018- ). A reviewer of many SCI journals, including some top journals - Water Research, Science China-Information Sciences, Science of the Total Environment, Environmental Pollution, IEEE Transactions on Automation Science and Engineering and etc. A keynote speaker of AMICR2019, IACICE2020, OAES2020, AICS2021, 3DIT-MSP&DL2020 and etc. A scientist in chief of RealMax, Shanghai Lingang Artificial Intelligence Laboratory and etc.

1 International Conference on Computer Engineering and Artificial Intelligence