Keynotes
Keynote1:
Prof. Mykola
Pechenizkiy
Professor, Chair of Data Mining at the Department of
Mathematics and Computer Science
Eindhoven University of Technology
Bio: Mykola Pechenizkiy is a professor and chair of Data Mining at the Department of Mathematics and Computer Science, TU Eindhoven. His main expertise is in machine learning and predictive analytics on data evolving over time. Mykola leads Trustworthy AI interdisciplinary research studying foundations of robustness, scalability, interpretability, fairness, and explainability of AI. Their work on machine learning has won several awards, including the recent IEEE ICDE 2023 Best Demo Award, IDA 2023 Runner-up Frontier Prize, IEEE DSAA 2022 Best Paper Award, LoG 2022 Best Paper Award, ALA 2022 Best Paper Award, and Prof. Ram Kumar EDM 2009-2018 Test of Time Award. Mykola closely collaborates with industry on developing novel techniques for informed, accountable, and transparent predictive analytics. He serves on the program committees of the leading data mining, machine learning, and AI conferences, including IJCAI, ECMLPKDD, AAAI, and ICML among others.
Abstract: Non-discrimination in algorithmic decision-making has been extensively studied across various research communities. Numerous fairness metrics have been proposed, and several fair machine learning (fairML) techniques have been developed. However, conclusively determining whether a particular fairML approach results in discriminatory outcomes remains challenging. In this talk, I will explain these challenges and address three related questions: Can fairness be automated? Does the end justify the means? Should we expect to trade off accuracy to make decision-making more fair?
Keynote2:
Andrew Boxall
Microsoft
Abstract: This session will provide a comprehensive introduction to AI, exploring its historical development and foundational principles. We will discuss cutting-edge AI technologies and their transformative effects across various industries. The talk will conclude with an Q&A session, offering attendees the opportunity to dive deeper into AI topics with our experts.
Keynote3:
Prof. Bo Luo
Professor, Department of Electrical Engineering and
Computer Science
Director, High Assurance and Secure Systems (HASS)
Research Center
Institute for Information Sciences (I2S)
The University of Kansas
Abstract: Recent advances in machine learning, especially generative AI, have made significant impacts on a wide range of research disciplines including security and privacy. Meanwhile, a broad spectrum of cyber-attacks against machine learning systems has been proposed. Such attacks aim to break the integrity or confidentiality of the models. In this talk, I will discuss the synergy between cybersecurity and Ai/ML, and introduce several research projects from KU’s InfoSec group on adversarial/trustworthy machine learning. Through this talk, we hope to highlight the security and privacy issues in AI/ML systems, which may be helpful for the audience to identify the opportunities and challenges in their own research fields.
Bio: Bo Luo is a professor with the EECS department at the University of Kansas. He is the director of the Center for High Assurance and Secure Systems (HASS) at KU's Institute of Information Sciences (I2S). He received Ph.D. degree from The Pennsylvania State University in 2008, M.Phil degree from the Chinese University of Hong Kong in 2003, and B.E. from University of Sciences and Technology of China in 2001. His recent works mostly lie in the intersection of AI/ML and privacy and security. Dr. Luo has published 100+ refereed papers, including ones in top conferences and journals such as IEEE S&P, ACM CCS, USENIX Security, NDSS, ACM Multimedia, IEEE TKDE, IEEE TIFS, IEEE TDSC, etc. He received the KU EECS Excellence in Undergraduate Teaching Professorship in 2023, the Miller Scholar award of University of Kansas in 2016, 2017, and 2021, and the Miller Professional Development Award in 2015. He is also the recipient of ACSAC 2017, ACSAC 2021, and ACM/IEEE ICPC 2024 best paper awards, and CCS 2022 best paper honorable mention.
Keynote3:
Prof. Muhammad
Imran
Dean of Graduate Studies for College of Science and
Engineering
Dean of Transnational Engineering Education
University of Glasgow
Abstract: In an increasingly interconnected world, the ability to establish reliable communication as well as sense the environment and human health vitals is becoming very important. This talk will share some recent research results and future directions in the development of the future telecom systems (e.g. 6G) for improving both communications performance and sensing accuracy. Drawing on reflections from successful projects we will present the future promising directions. Join us as we uncover the future of global connectivity and the transformative impact it promises for societies worldwide.
Bio: Professor Muhammad Ali Imran (Fellow, IEEE) received his M.Sc. (Hons.) and Ph.D. degrees from Imperial College London in 2002 and 2007, respectively. He is a Professor in Communication Systems at the University of Glasgow, the Dean of Transnational Education and Graduate Studies for College of Science and Engineering, and the Head of the Communications Sensing and Imaging (CSI) Research Hub. Additionally, he serves as the Director of the Glasgow Centre of Educational Development and Innovation. He has been an Affiliate Professor at The University of Oklahoma USA, Ajman University UAE, and University of Surrey UK.
Prof. Imran has over 25 years of combined academic and industry experience, making pioneering contributions in self-organized cellular networks and energy-efficient communications. His work has been widely cited, incorporated into standards, and adopted commercially. As the Principal Investigator for Scotland 5G Centre's urban testbed, he leads cutting-edge research in 5G technology. He manages a large research group with over 100 researchers, playing key roles in multi-million-pound international research projects and consulting for global and local companies. He has supervised more than 50 successful Ph.D. graduates and published over 500 peer-reviewed articles, including more than 100 in IEEE Transactions. Prof. Imran is a Fellow of the Institute of Electrical and Electronic Engineers (IEEE), the Institution of Engineering and Technology (IET), the Royal Society of Edinburgh (RSE), the Royal Society of Arts, Manufactures and Commerce (RSA), the European Alliance for Innovation (EAI) and Artificial Intelligence Industry Alliance (AIIA). He is also a Senior Fellow of the Higher Education Academy (HEA) in the UK.
Beyond his research accomplishments, Prof. Imran promotes the UK's Higher Education sector internationally, leading successful transnational education initiatives. He is passionate about mentoring young talent and advancing technology for societal benefit, reflecting his dedication to the field of communication systems and their positive impact.