Keynote Speaker Ⅰ |
Prof. Shujun Li
University of Kent, UK
Biography: Shujun Li is Professor of Cyber Security at the School of Computing, University of Kent in the UK. He is the Director of the Institute of Cyber Security for Society (iCSS), which represents the University of Kent as an Academic Centre of Excellence in Cyber Security Research (ACE-CSR) and an Academic Centre of Excellence in Cyber Security Education (ACE-CSE), both recognised by the UK’s National Cyber Security Centre (NCSC, part of GCHQ). His research interests are mostly around interdisciplinary topics covering cyber security and privacy, human factors, cybercrime and online harms, social media analytics, and practical applications of AI and NLP techniques. He has published over 100 research papers, and received five Best Paper Awards, including the 2022 IEEE Transactions on Circuits and Systems Guillemin-Cauer Best Paper Award which was selected from all (over 3,000) papers published in the two IEEE Transactions on Circuits and Systems journals in 2019, 2020 and 2021. He co-authored a monograph on cognitive modelling (Springer, 2020). In 2012, he received an ISO/IEC Certificate of Appreciation, for being the lead editor of ISO/IEC 23001-4:2011, the 2nd edition of the MPEG RVC standard. He is currently on the editorial boards of a number of international journals, including IEEE Transactions on Dependable and Secure Computing. He has been on the organising or technical program committees of over 100 international conferences and workshops. He is a Fellow of BCS, a Senior Member of IEEE, and a co-founder and a Vice President of the ABCP (Association of British Chinese Professors) since 2018. More about his research and professional activities can be found at his personal website http://www.hooklee.com/.
Speech Title: Privacy through the Lens of Data Flows
Abstract: Nowadays we are living in a highly connected cyber-physical world, and we are increasingly depending on others, including organisations such as online service providers and other people, to live our lives and do businesses. As a result, we are disclosing our personal data with many parties online and in the physical world, leading to privacy concerns and genuine leakages of personal information to wrong hands. In this talk, the speaker will look at the user privacy protection problem from a data flows angle, and introduce his ongoing work on building a computational graph-based model to capture how data flow between people and organisations, in order to support research and development of more user-centric privacy solutions. The work was part of a research project "PriVELT: PRIvacy-aware personal data management and Value Enhancement for Leisure Travellers" (https://privelt.ac.uk/), which was led by the speaker and funded by the EPSRC (Engineering and Physical Sciences Research Council), part of the UKRI (UK Research and Innovation).
Keynote Speaker Ⅱ |
Prof. Massimo Villari
University of Messina, Italy
Biography: Massimo Villari is Full Professor in Computer Science at University of Messina (Italy). He is actively working as IT Security and Distributed Systems Analyst in Cloud and Edge Computing, virtualization and Storage, Federated Learning and one of the creators of Osmotic Computing Paradigm. For the EU Projects “RESERVOIR” he leaded the IT security activities of the whole project. For the EU Project “VISION-CLOUD” and “H2020-BEACON”, he covered the role of architectural designer for UniME. He was Scientific ICT Responsible in the EU Project frontierCities, the Accelerator of FIWARE on Smart Cities – Smart Mobility. He is strongly involved in EU Innovation initiatives, and also, he covers the role of EU external expert. Currently, he is Scientific ICT Responsible for UniME of “TEMA” and “NEUROKIT-2E” Horizon Europe Projects. He is co-author of more of 250 scientific publications and patents in Cloud Computing (Cloud Federation), Distributed Systems, Wireless Network, Network Security, Cloud Security and Cloud, Edge and IoTs, and recently in Osmotic Computing and AI. He was General Chair of ESOCC 2015 and IEEE-ISCC 2016. In 2014 he was recognized by an independent assessment (IEEE Cloud Computing Transaction, Issue April 2014) as one of World-Wide active scientific researchers, top 27 classification, in Cloud Computing Area. He was General Chair of IEEE-ICFEC 2019 and General Co-Chair in IEEE-CCGRID2022. He was also General Chair of IEEE ISCC2022 and He is General Chair of IEEE ISCC2024. He is in the Stanford World’s Top 2% Scientists list of the Stanford University in Computer Science. He is a Co-Founder of UniME Spin-Off Alma Digit S.R.L since 2017. He is Currently he is the Head of Computer Science School and Academic Consultant for the Messina Municipality in the Area of Digital Innovation HUB (iHUB dello Stretto).
Speech Title: Cloud and Big Data like Important Enablers of the Modern Machine Learning
Abstract: The evolution of AI is strongly affecting all Human Beings activities in any domain. In the last six years a revolution is started and much more in very last period with the use of AI Algorithms like ChatGPT, BART/GEMINI, BingChat and others LLVM and new more algorithms. The question is What is behind the Modern Machine Learning? And much more important what this the future implications in adopting the Distributed Intelligence in Cross Domains like climate change driven domains, Smart Environments and Natural Disaster Management Systems, Health and pandemic issues, Energy Crisis, Autonomous Vehicle, and their wide adoptions in V2X configurations, 6G, and so on.