Keynote Speakers

Tom Mitchell

Tom Mitchell

Carnegie Mellon University

Tom M. Mitchell is the Founders University Professor at Carnegie Mellon University, where he founded the world's first Machine Learning Department. His research interests include machine learning, artificial intelligence, cognitive neuroscience, and the impact of AI on society. A current focus is on AI and education, where he has worked closely with organizations that field computer learning environments to millions of students, including Squirrel AI in China, and CK12.org in the U.S. He has testified to a variety of U.S. congressional committees regarding potential uses and impacts of artificial intelligence, and is currently co-chairing a U.S. National Academies study on AI and the future of work, as well as a task force studying Large Language Models for the Special Competitive Studies Project. Mitchell is an elected member of the U.S. National Academy of Engineering, and the American Academy of Arts and Sciences, and a Fellow and Past President of the Association for the Advancement of Artificial Intelligence (AAAI).

Keynote Title: Where Can AI Take Education by 2030?

Abstract: If there is ever going to be a decade in which AI revolutionizes education, it will be this decade. We are in a unique position historically because of the confluence of two key trends: (1) we are currently seeing dramatic progress in AI with systems such as ChatGPT, and (2) several online education platforms now routinely teach millions of students. This talk will explore where we are, and where we might be headed.



Sergei Gorlatch

Sergei Gorlatch

University of Muenster, Germany

Sergei Gorlatch has been Full Professor of Computer Science at the University of Muenster (Germany) since 2003. Earlier he was Associate Professor at the Technical University of Berlin, Assistant Professor at the University of Passau, and Humboldt Research Fellow at the Technical University of Munich, all in Germany. His research interests include algorithms, software, and applications for high-performance parallel and distributed systems, as well as e-Learning and educational research. Prof. Gorlatch has more than 200 peer-reviewed publications in refereed international books, journals, and conferences. Sergei Gorlatch holds MSc degree in Applied Mathematics and Computer Science from the National State University of Ukraine in Kiev, PhD degree in Computer Science from the Institute of Cybernetics of the Ukrainian Academy of Sciences, and Habilitation degree in Computer Science from the University of Passau in Germany.

Keynote Title: Future Applications Based on Mobile Cloud and Software-Defined Networks

Abstract: We consider an emerging class of challenging software applications called Real-Time Online Interactive Applications (ROIA). ROIA are networked applications connecting a potentially very high number of users who interact with the application and with each other in real time, i.e., a response to a user’s action happens virtually immediately. Typical representatives of ROIA are multiplayer online computer games, advanced simulation-based e-learning and serious gaming. All these applications are characterized by high performance and QoS requirements, such as: short response times to user inputs (about 0.1-1.5 s); frequent state updates (up to 100 Hz); large and frequently changing numbers of users in a single application instance (up to tens of thousands simultaneous users). This talk will address two challenging aspects of software for future Internet-based ROIA applications: a) using Mobile Cloud Computing for allowing high application performance when a ROIA application is accessed from multiple mobile devices, and b) managing dynamic QoS requirements of ROIA applications by employing the emerging technology of Software-Defined Networking (SDN).