Keynote Speakers
Keynote Speakers
TBA
Professor Marios M. Polycarpou
Professor, Department of Electrical and Computer Engineering, University of Cyprus
Advisory Board Chair, KIOS Research and Innovation Center of Excellence
Honorary Professor of Imperial College London, U.K.
Member of the Cyprus Academy of Sciences, Letters, and Arts
Member of Academia Europaea (The Academy of Europe)
Title: Connecting AI to the Cyber-Physical World
Abstract: The development of cyber-physical systems with multiple sensor/actuator components and feedback loops has given rise to advanced automation applications, including energy and power, intelligent transportation, water systems, manufacturing, etc. Traditionally, feedback control has focused on enhancing the tracking and robustness performance of the closed-loop system; however, as cyber-physical systems become more complex and interconnected and more interdependent, there is a need to refocus our attention not only on performance but also on the resilience of cyber-physical systems. In situations of unexpected events and faults, computational intelligence can play a key role in improving the fault tolerance of cyber-physical systems and preventing serious degradation or a catastrophic system failure. The goal of this presentation is to provide insight into the design and analysis of intelligent monitoring methods for cyber-physical systems, which will ultimately lead to more resilient societies.
Short Bio: Marios Polycarpou is a Professor of Electrical and Computer Engineering and the President of the Advisory Board of the KIOS Research and Innovation Center of Excellence at the University of Cyprus. He is also a Founding Member of the Cyprus Academy of Sciences, Letters, and Arts, an Honorary Professor of Imperial College London, and a Member of Academia Europaea (The Academy of Europe). He received the B.A degree in Computer Science and the B.Sc. in Electrical Engineering, both from Rice University, USA in 1987, and the M.S. and Ph.D. degrees in Electrical Engineering from the University of Southern California, in 1989 and 1992 respectively. His teaching and research interests are in intelligent systems and networks, adaptive and learning control systems, fault diagnosis, machine learning, and critical infrastructure systems.
Prof. Polycarpou is the recipient of the 2023 IEEE Frank Rosenblatt Technical Field Award and the 2016 IEEE Neural Networks Pioneer Award. He is a Fellow of IEEE and IFAC. He served as the President of the IEEE Computational Intelligence Society (2012-2013), as the President of the European Control Association (2017-2019), and as the Editor-in-Chief of the IEEE Transactions on Neural Networks and Learning Systems (2004-2010). Prof. Polycarpou currently serves on the Editorial Boards of the Proceedings of the IEEE and the Annual Reviews in Control. His research work has been funded by several agencies and industry in Europe and the United States, including the prestigious European Research Council (ERC) Advanced Grant, the ERC Synergy Grant and the EU-Widening Teaming program.
Professor Haris Mouratidis
Director of Institute for Analytics and Data Science – IADS, Professor of Data Science and Statistics, School of Computer Science and Electronic Engineering, University of Essex, UK
Title: AI and cybersecurity: Friend or Foe?
Abstract: We live in an era of unprecedented technological advancement that has an impact on every aspect of the human life. Within that environment, artificial intelligence and cybersecurity are two areas where innovation and challenges intersect with profound implications. On one hand, AI, with its transformative capabilities, is revolutionising how we process information, make decision and interact with technology, while on the other hand, cybersecurity provides essential tools to safeguard the digital infrastructures that we depend on.
In this talk I will discuss the interplay between the two, exploring both the benefits of using AI for cybersecurity and cybersecurity for AI, but also the challenges that such co-existence introduces. Drawing on real-world case studies and insights, I will discuss how machine learning, threat detection and analytics can empower organisations and individuals to improve their cybersecurity but also how AI-driven tactics give rise to sophisticated cyber threats. I will then emphasize the necessity for collaborative initiatives spanning both AI and cybersecurity domains. I will stress the importance of continuous shared research and education to foster an environment where the coexistence of AI and cybersecurity not only enhances our digital landscape but also minimizes associated risks
Short Bio: Haralambos (Haris) Mouratidis is Professor and Director of the Institute for Analytics and Data Science (IADS) at the University of Essex. Before, he was professor of secure software engineering and founding director of the Centre for Secure, Intelligent and Usable System (CSIUS) at the University of Brighton. His research interests include cybersecurity data science (with focus on AI and machine learning and data analytics for cybersecurity risk management, threat modelling and data protection), intelligent data security engineering (with focus on the development of novel methodologies and techniques to improve privacy by design and security by design and AI-enabled model based security engineering), and Threat modelling and privacy protection for AI and data science (with focus on adversarial attacks on machine learning and machine learning facilitated adversarial mechanisms). He has published more than 210 papers and he has secured funding of c.£30M, funded mostly by the UK and the EU. He is Fellow of the UK Higher Education Academy and “Standards-maker” of the British Standards Institution for the “Privacy-By-Design” and “Software and Systems Engineering” national committees. He is elected Vice-Chair of the IFIP WG on Secure Engineering, Expert Fellow of the UK Digital Economy Network Plus, on the register of ENISA’s experts and was member of the ENISA WG on European Cybersecurity Skills Framework (ECSF). He has been invited subject expert for events organised by national and international organisations (e.g. EU, NATO); more recently he spoke about AI-driven Privacy-by-Design, on an event organised by the European Commission and led discussion on challenges of Automated Software Engineering towards GDPR compliance at a meeting organised by the European Research Executive Agency.
Professor Emma Hart
FRSE, Professor at Edinburgh Napier University, Edinburgh, Scotland, United Kingdom
Title: An Evolutionary Approach to the Autonomous Design and Fabrication of Robots for Operation in Unknown Environments
Abstract: Robot design is traditionally the domain of humans – engineers, physicists, and increasingly AI experts. However, if the robot in intended to operate in a completely unknown environment (for example clean up inside a nuclear reactor) then it is very difficult for human designers to predict what kind of robot might be required. Evolutionary computing is a well-known technology that has been applied in various aspects of robotics for many years, for example to design controllers or body-plans. When coupled with advances in materials and printing technologies that allow rapid prototyping in hardware, it offers a potential solution to the issue raised above, for example enabling colonies of robots to evolve and adapt over long periods of time while situated in the environment they have to work in. However, it also brings new challenges, from both from an algorithmic and engineering perspective.
The additional constraints introduced by the need for example to manufacture robots autonomously, to explore rich morphological search-spaces and develop novel forms of control require some re-thinking of “standard’ approaches in evolutionary computing, particularly on the interaction between evolution and individual learning. I will discuss some of these challenges and propose and showcase some methods to address them that have been developed in during a recent project
Short Bio: Professor Emma Hart has worked in the field of Evolutionary Computing for over 20 years. Her current work is mainly centred in Evolutionary Robotics, bringing together ideas on using artificial evolution as tool for optimisation with research that focuses on how robots can be autonomously designed and fabricated, and endowed with the ability to continually learn over a lifetime, improving performance as they gather information from their own or other robots’ experiences. The work has attracted significant media attention including recently in the New Scientist, and the Guardian. She gave a TED talk on this subject at TEDWomen in December 2021 in Palm Springs, USA which has attracted over 1 million views since being released online in April 2022. She was the Editor-in-Chief of the journal Evolutionary Computation (MIT Press) from 2017-2024 and an elected member of the ACM SIG on Evolutionary Computing. In 2022, she was honoured to be elected as a Fellow of the Royal Society of Edinburgh for her contributions to the field of Computational Intelligence and was awarded the ACM SIGEVO Award for Outstanding Contribution to Evolutionary Computation in 2023.