Wroclaw University of Science and Technology (WUST)
Prof. Tomasz Kajdanowicz is an experienced researcher and practitioner in machine learning, data science, and social media analysis. He is an Associate Professor and Head of the Department of Artificial Intelligence, as well as an expert for NCBiR and a technology advisor for venture capital. Prof. Kajdanowicz has developed numerous artificial intelligence projects for business and is a dedicated colleague and mentor to his students.
Prof. Michał Bernaczyk is experienced assistant professor at the University of Wroclaw (Poland) with a demonstrated history of working in the higher education industry and international cooperation with academics in Europe, United States of America and Latin America. Skilled in constitutional Law, comparative studies on freedom of Information, privacy Law and re-Use of public sector Information, public speaking, legal writing, and international relations. Strong legal services professional graduated from The Regional Chamber of Legal Advisers in Wroclaw.
Łukasz Augustyniak is a Data Scientist and AI Consultant with over 8 years of experience in machine learning projects, including social media monitoring, call center transcription analysis, recommendation engines, and legal text analysis. He is an award-winning Ph.D. student at Wroclaw University of Science and Technology, focusing on natural language processing and sentiment analysis. Łukasz has lectured at international conferences in countries such as Poland, the USA, and China, and has collaborated with prestigious institutions like Stanford University and Nanyang Technological University. He holds an MSc in Computer Science and an MA in Law, and has co-authored numerous publications on AI and NLP.
Jakub Binkowski holds BSc and MSc in Computer Science and graduated from Wroclaw University of Science and Technology. His interest in machine learning and artificial intelligence started in the early years of his studies. He has experience in scientific and commercial projects. During his career, he developed and deployed solutions in several ML fields, including natural language processing (automated anonymization, fake news classification) and signal processing (acoustic scene classification). His current research concerns learning representation on graphs and its applications to problems, like embedding neural network learning processes.
Albert Sawczyn graduated in BSc in Computer Science and MSc in Data Science, both from Wroclaw University of Science and Technology. He became passionate about general Artificial Intelligence as he started learning programming in a high school. His past developed and deployed projects are both scientific and commercial. He was fortunate to work on thematically diversified projects, covering signal processing, reinforcement learning, natural language processing and graph processing. His current work is placed in the field of learning representation of knowledge graphs and its applications.
Middlesex University London (MUHEC)
Prof. David Windridge holds the chair of Data Science and Machine Learning at the Dept. of Computer Science, Middlesex University, London where he heads the AI and Machine Learning Research Group; he is also Research Lead for the Dept. of Computer Science as a whole. His research interests center on practical and theoretical development in quantum + classical machine learning, human machine teaming/XAI and computer vision. He has a former research interest in astronomy/astrophysics, having obtained a Ph.D. in Cosmology at the University of Bristol, UK. He has authored 150+ academic publications in these areas and played a leading role on a number of large-scale machine-learning projects in academic and industrial research settings, as well as having won interdisciplinary research grants across a range of academic disciplines, including psychology and defense. He holds a visiting position at the University of Surrey, UK and sits on the editorial board of the Springer journal Quantum Machine Intelligence.
Prof. Mandeep Dhami, has previously held academic positions in the UK (University of Surrey and University of Cambridge), Canada (University of Victoria), USA (University of Maryland) and Germany (Max Planck Institute for Human Development). She has also worked as a Principal Scientist for the Defence Science and Technology Laboratory (UK Ministry of Defence), and has work experience in two British prisons. Mandeep is an internationally recognized expert on human judgment and decision-making, risk perception, and uncertainty communication. She applies her expertise to solving problems in the criminal justice and defence & security sectors. Mandeep has authored over 135 scholarly publications and is lead editor of the book ‘Judgment and Decision Making as a Skill’ published by Cambridge University Press. Her research has received several international awards including from the European Association for Decision Making, the American Psychological Association (Division 9), and the NATO Science & Technology Organisation. Mandeep regularly advises Government bodies nationally and internationally on evidence-based policy and practice. She is Editor of Judgment and Decision Making, and President-elect of the European Association for Decision Making.
Dr. Santosh Tirunagari is a Machine Learning Scientist at EMBL-EBI. His research focuses in the fields of probabilistic ML and statistical signal processing with applications to NLP and Computer Vision. He obtained his PhD in Computer Science from the University of Surrey in 2017 and prior to that he was working as a Lead Data Scientist at Synoptic Technologies and LokalHouse Oy. He has published peer-reviewed research publications and has won awards including the 2018 CogX- Outstanding AI – Post-Doc Research Award.
Université Claude Bernard Lyon 1 (ELICO)
Prof. Chérifa Boukacem-Zeghmouri is a Professor of Information and Communication Sciences at Université Claude Bernard Lyon 1 (Computer Science Department).
She draws on the theoretical framework of cultural and creative industries to produce research in which she examines how scientific communication among peers has been evolving, tending towards more open and collaborative models. Her main research interests center on the new ways in which scientific research is produced, how it circulates, how it is assessed and legitimated. She has used bibliometric and qualitative approaches – both separately and jointly – in this field. Her publications have appeared in national and international journals. She has organized international scientific events and participated in the publication of two books. She has also been involved in several national and international research projects on topics related to the political economy of scientific publishing (some projects which received public funding through the ANR and others with private scientific publishing partners).
Candice Fillaud has been a research engineer at Claude Bernard Lyon 1 University (Department of Computer Science) since June 2024. With a master’s degree in epistemology and Open Science engineering and her professional experiences, she specializes in Open Science, focusing on the management, openness, and sharing of research data. Currently, she is involved in the JuDDGES project (Judicial Decision Data Gathering, Encoding, and Sharing), funded by the ANR under the CHIST ERA program. She contributes to implementing FAIR principles to enhance data accessibility and interoperability. With a multidisciplinary approach, Candice actively promotes open knowledge-sharing practices within the scientific community.
