Marcin Wozniak received the M.Sc. degree in applied mathematics, the PhD degree in computational intelligence, the D.Sc. degree in computational intelligence and Full Professor honours from the President of Poland. He is currently a Full Professor with the Faculty of Applied Mathematics, Silesian University of Technology. He is also the Dean of this faculty.
He is a Scientific Supervisor in editions of “Pearls of Science”, “The Diamond Grant” and “The Best of the Best” programs for highly talented students from the Polish Ministry of Science and Higher Education. Prof. Marcin Wozniak also leads grants in the Horizon Europe funding programme for research and innovation. He participated in various scientific projects (as Lead Investigator, Scientific Investigator, Manager, Participant and Advisor) at Polish, Italian and Lithuanian universities and projects with applied results in the IT industry, both funded from the National Centre for Research and Development and abroad. He was a Visiting Researcher with universities in Italy, Sweden and Germany.
He has authored/coauthored over 300 research papers in international conferences and journals. His current research interests include neural networks with their applications, together with various aspects of fuzzy logic and control, applied computational intelligence accelerated by evolutionary computation and federated learning models.
Prof. Marcin Wozniak was awarded a scholarship by the Polish Ministry of Science and Higher Education for an outstanding young scientist, and in 2021 and 2024, he received two awards from the Polish Ministry of Science and Higher Education for research achievements. In the years 2020-2025, Prof. Marcin Wozniak was presented among the “TOP 2% Scientists in the World” by Stanford University for his career achievements. Prof. Marcin Wozniak is also presented among the Best Computer Science Scientists in Poland by Research.com.
Topic
The Evolution of AI: Breakthroughs, Trends, and What’s Next
Artificial Intelligence has undergone rapid and transformative evolution, moving from early rule-based systems to powerful data-driven models that are reshaping industries and societies. This talk is to provide an overview of the key milestones that have defined AI development, including advances in machine learning, deep learning, natural language processing and generative AI.
The talk highlights recent breakthroughs, multimodal systems and autonomous decision-making technologies to question how these innovations are enabling new applications across healthcare, finance, manufacturing and beyond.
We are looking ahead to discussing emerging directions that are likely to shape the next generation of AI, such as foundation models, AI integration with the Internet of Things (IoT) and advances in general intelligence. By combining historical perspective with forward-looking insights, we aim to provide an understanding of where AI stands today and what lies ahead.
