ICCBDC 2024 Keynote Speakers
Giancarlo Fortino
University of Calabria, Italy
Fellow of IEEE
Giancarlo Fortino (IEEE Fellow 2022) is Full Professor of Computer Engineering at the Dept of Informatics, Modeling, Electronics, and Systems of the University of Calabria (Unical), Italy. He received a PhD in Computer Engineering from Unical in 2000. He is also distinguished professor at Wuhan University of Technology and Huazhong Agricultural University (China), high-end expert at HUST and NIST (China), senior research fellow at the Italian ICAR-CNR Institute, CAS PIFI visiting scientist at SIAT – Shenzhen, and Distinguished Lecturer for IEEE Sensors Council. He was also visiting researcher at ICSI, Berkeley (USA), in 1997 and 1999 and visiting professor at Queensland University of technology in 2009. At Unical, he is the Rector’s delegate to Int’l relations, the chair of the PhD School in ICT, the director of the Postgraduate Master course in INTER-IoT, and the director of the SPEME lab as well as co-chair of Joint labs on IoT established between Unical and WUT, SMU and HZAU Chinese universities, respectively. Fortino is currently the scientific responsible of the Digital Health group of the Italian CINI National Laboratory at Unical. He is Highly Cited Researcher 2020-2023 in Computer Science by Clarivate. He had 25+ highly cited papers in WoS, and h-index=81 with 23000+ citations in Google Scholar. His research interests include wearable computing systems, e-Health, Internet of Things, and agent-based computing. He is author of 650+ papers in int’l journals, conferences and books. He is (founding) series editor of IEEE Press Book Series on Human-Machine Systems and EiC of Springer Internet of Things series and AE of premier int'l journals such as IEEE TASE (senior editor), IEEE TAFFC-CS, IEEE THMS, IEEE T-AI, IEEE IoTJ, IEEE SJ, IEEE JBHI, IEEE SMCM, IEEE OJEMB, IEEE OJCS, Information Fusion, EAAI, etc. He chaired many int’l workshops and conferences (130+), was involved in a huge number of int’l conferences/workshops (700+) as IPC member, is/was guest-editor of many special issues (80+). He is cofounder and CEO of SenSysCal S.r.l., a Unical spinoff focused on innovative IoT systems, and recently cofounder and vice-CEO of the spin-off Bigtech S.r.l, focused on big data, AI and IoT technologies. Fortino is currently AVP of the Cybernetics area of the IEEE SMCS and former member of the IEEE SMCS BoG and former chair of the IEEE SMCS Italian Chapter.
Title of Speech: Integrating Machine Learning and Multi-Agent Systems for Fully Enabling Device-Edge-Cloud Continuum in Complex IoT Worlds
Abstract: Recently the device-edge-cloud paradigm is gaining momentum due to the benefits it could provide for the development of highly effective, efficient, and complex IoT ecosystems of diversified scale. However, there are many issues related to unsupervised control aspects that need to be addressed in order to fully realize the approach and make it fully operative in real complex environments. In order to address such issues, in this talk, we propose an holistic integration of machine learning and multi-agent systems to create a data-driven control architecture capable to autonomically monitor and control the device-edge-cloud continuum. This objective is being developed in the context of the Horizon Europe project named MLSysOps (https://mlsysops.eu/). Some use cases will be proposed to elucidate our current findings.
Bhavani Thuraisingham
Founders Chair Professor, The University of Texas at Dallas, USA
Fellow of ACM, IEEE, AAAS, NAI, IMA
Executive Director of the Cyber Security Research and Education Institute
Dr. Bhavani Thuraisingham is the Founders Chair Professor of Computer Science and the Executive Director of the Cyber Security Research and Education Institute at the University of Texas at Dallas (UTD). She is also a visiting Senior Research Fellow at Kings College, University of London and an elected Fellow of the ACM, IEEE, the AAAS, the NAI and the BCS. She was a Cyber Security Policy Fellow at the New America Foundation in 2017-8. Her research interests are on integrating cyber security and artificial intelligence/data science for the past 35 years (it used to be computer security and data management/mining/expert systems). She has received several awards including the IEEE CS 1997 Technical Achievement Award, ACM SIGSAC 2010 Outstanding Contributions Award, the IEEE Comsoc Communications and Information Security 2019 Technical Recognition Award, the IEEE CS Services Computing 2017 Research Innovation Award, the ACM CODASPY 2017 Lasting Research Award, the IEEE ISI 2010 Research Leadership Award, the 2017 Dallas Business Journal Women in Technology Award, and the ACM SACMAT 10 Year Test of Time Awards for 2018 and 2019 (for papers published in 2008 and 2009). She co-chaired the Women in Cyber Security Conference (WiCyS) in 2016 and delivered the featured address at the 2018 Women in Data Science (WiDS) at Stanford University as well as keynote addresses at Cyber-W 2017 and 2020 (Women in Cyber Security Research), 2019 Women in Communications Engineering (WICE), and 2018 Women in Services Computing, and serves as the Co-Director of both the Women in Cyber Security and Women in Data Science Centers at UTD. Her 40-year career includes industry (Control Data, Honeywell), federal research laboratory (MITRE), US government (NSF) and US Academia. Her work has resulted in 130+ journal articles, 300+ conference papers, 150+ keynote and featured addresses, six US patents, fifteen books as well as technology transfer of the research to commercial products and operational systems. She received her PhD from the University of Wales, Swansea, UK, and the prestigious earned higher doctorate (D. Eng) from the University of Bristol, UK.
Hong Zhu
Oxford Brookes University, UK
Dr. Hong Zhu is a professor of computer science at the Oxford Brookes University, Oxford, UK, where he chairs the Cloud Computing and Cybersecurity Research Group. He obtained his BSc, MSc and PhD degrees in Computer Science from Nanjing University, China, in 1982, 1984 and 1987, respectively. He was a faculty member of Nanjing University from 1987 to 1998. He joined Oxford Brookes University in November 1998 as a senior lecturer in computing and became a professor in Oct. 2004. His research interests are in the area of software development methodologies, including software engineering for cloud computing and software engineering of AI and machine learning applications, formal methods, software design, programming languages and automated tools, software modelling and testing, etc. He has published 2 books and more than 200 research papers in journals and international conferences. He is a senior member of IEEE, a member of British Computer Society, and ACM.
Huseyin Seker
Birmingham City University, UK
Huseyin is a research-oriented and enterprise-focused academic and manager with both academic and industry experiences in data science, artificial intelligence, machine learning, and emerging & disruptive technologies/systems. He has published over 100 peer-reviewed articles and has been involved with a portfolio of collaborative research, enterprise and teaching/learning projects of over £ 20M as PI, Co-I and international researcher in collaboration with universities and companies in the UK and abroad. He was one of the founding members of the Institute of Coding and led its activities at Northumbria University until September 2019. He is currently working as Professor of Computing Sciences and Associate Dean (Research and Enterprise) for the Faculty of Computing, Engineering and the Built Environment at Birmingham City University.
Title of Speech: The Power of Data and The Things It Empowers
Abstract: Data has become an asset in every sector and discipline. With technological advancements and widespread access to the internet and commonly used connected devices in our daily lives (e.g., mobile phones, social media, the internet of things), we have become data producers, contributing to the collection of data sets. The collection and analysis of data using advanced data analytics technics and artificial intelligence methods have started making a positive impact in society, economy and environment around the world. However, we have also started seeing unethical use of such data sets. Due to some recent disturbing examples, policymakers need to regulate the data market to make our digital world safer for current and future generations. This talk will cover both aspects of the use of data-driven artificial intelligence methods along with examples and developments with future direction.