Michal Wozniak – Wroclaw University of Science and Technology
Michal Wozniak is currently a professor of computer science at the Department of Systems and Computer Networks, Wroclaw University of Science and Technology, Wroclaw, Poland, and a member of the Polish Academy of Sciences. He has authored or co-authored more than 350 papers and three books. His research focuses on machine learning, particularly pattern classification, classifier ensembles, continual learning, and methods for handling imbalanced data. Prof. Wozniak has been involved in research projects related to machine learning and has served as a consultant on several commercial projects for well-known Polish companies and the public administration. He also serves as a PC member and has given more than 30 invited lectures at prestigious AI/ML-related conferences. He received numerous prestigious awards for his scientific achievements, including the IBM Smarter Planet Faculty Innovation Award (twice), the IEEE Outstanding Leadership Award, and several best paper awards at major conferences.
Enrique A. de la Cal Marín – University of Oviedo
Enrique A. de la Cal Marín is an Associate Professor in the Department of Computer Science at the University of Oviedo, Spain. He received his degree in Computer Engineering in 1995 and his PhD in Computer Science in 2003, both from the University of Oviedo. His research focuses on computational intelligence, machine learning, time-series analysis, intelligent audio analysis, human activity recognition, and biomedical AI applications, with increasing emphasis on speech-, voice-, and sensor-based methods for studying neurodegenerative diseases and related clinical conditions.
His recent work includes wearable-based human activity and fall detection, epilepsy episode recognition using sensor data, stress detection from physiological signals, speech emotion recognition, and voice and speech analysis for clinical assessment. He has also developed active collaborations with the University of Alberta on AI-based speech and language analysis for neurodegenerative disorders, with particular attention to Primary Progressive Aphasia and related conditions.
His scientific output includes more than 30 indexed journal articles and nearly 70 conference contributions, mostly in international venues. His work on fall detection deployment received a Best Paper distinction at the IEEE International Conference on Cloud Computing and Big Data Analysis in 2018. He has participated in national and international research projects and industry-funded R&D contracts, several of them as principal investigator or scientific coordinator, and has served on the scientific committees of numerous international conferences in artificial intelligence and soft computing.