Dr. Jonathan Dunne has over 30 years industry experience working as a Software Developer, Systems and Performance Engineer, Data Scientist and currently as a Chief AI Architect. Jonathan received his PhD (Mathematics & Statistics) from Maynooth University in 2018. 

Jonathan has co-authored over 20 conference and Journal Papers in Cloud Outage Detection and Network Quality of Service. He is also the holder of over 325 software patents. His research interests include Service time Modelling and Queueing Theory. He also holds a Level 3 – Distinguished Data Scientist certification from the Open Group.  He is also a Data Science governance board member of the Association for Computing Machinery (ACM).

Dr. Pratyush Nidhi Sharma is the H. Taylor Morrissette Endowed Faculty Fellow, Associate Department Head, and Associate Professor of Information Systems at the University of Alabama’s Culverhouse College of Business. He is a Fellow of the University of Alabama’s 2024–25 Leadership U program and a recipient of the 2025 Manderson MBA Student Impact Teaching Award.

His research is widely published in leading journals & conferences and focuses on artificial intelligence, predictive analytics, open-source software, digital platforms, and information systems governance.

Dr. Sharma teaches doctoral, executive MBA, and traditional MBA courses, including PhD seminars on AI and MIS research methods, executive education on “AI for leaders” and core MIS courses for graduate students. He earned his PhD in Information Systems from the University of Pittsburgh.

Prof. Dr. Sotir Sotirov is a Professor of Artificial Intelligence  at Burgas State University “Prof. Dr. Asen Zlatarov”. His scientific profile is focused on artificial intelligence, neural networks, and modelling.

His scientific output includes publications in the fields of intelligent systems, generalized nets, neural network learning, intuitionistic fuzzy logic, intercriteria analysis, and applied methods of artificial intelligence. His works address both theoretical and applied problems related to algorithm modelling, the development of hybrid approaches for the design of modular neural networks, and the use of intelligent methods in complex decision-making environments.

His publications have received approximately 1,800 citations, which demonstrates the visibility and applicability of his research among other scholars. In addition to his publication activity, Prof. Sotirov’s contribution is also reflected in student education, scientific supervision, and the development of research capacity in the field of intelligent systems. His work combines mathematical modelling, computational intelligence, and practical applications, establishing him as a recognizable scholar in the Bulgarian and international academic community.

Prof. Ralf Möller is Full Professor of Artificial Intelligence in Humanities and Director of the Institute of Humanities-Centered AI (CHAI) at the University of Hamburg. His research focuses on artificial intelligence, including probabilistic relational modelling, natural language technologies, machine learning, and data mining for decision making of agents in social mechanisms. Prior to joining the University of Hamburg in 2024, he held professorships at the University of Lübeck, where he also led the Stochastic Relational AI in Healthcare department at DFKI, and at Hamburg University of Technology. Professor Möller was co-organizer of several national and international workshops on humanities-centered AI as well as on description logics and has played leading roles in major research initiatives, including the DFG Cluster of Excellence Understanding Written Artefacts.