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Jan K. Argasiński is an assistant professor at the Institute of Applied Computer Science at the Jagiellonian University and a senior researcher at Sano - Centre for Personalised Computational Medicine. His research interests have evolved from human-computer interactions, with a particular focus on virtual/augmented reality and affective computing towards more "low-level" computational neuroscience, particularly utilising artificial intelligence techniques.

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Anna Blasiak is a neuroscientist currently affiliated with Jagiellonian University in Krakow, Poland. During her PhD studies, she was investigating the mechanisms of biological clock structures functioning at the level of single neurons. In 2018 she obtained habilitation for her discoveries related to the role of the neuropeptides in the control of the biological clock and motivated behaviours. She completed a postdoctoral fellowship at The Florey Institute of Neuroscience and Mental Health in Melbourne, Australia. Currently, her research focuses the role of neuropeptides and their interactions in the control of hippocampal neuronal activity, at the level of single neurons and neuronal network.

Dr. Blasiak is a member of the board of the Polish Neuroscience Society and a member of the Biological Commission of the Polish Academy of Sciences. In addition to her research work, she is involved in teaching and mentoring students and serves as the head of the Neurobiology program at Jagiellonian University.

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Rafal Bogacz graduated in computer science at Wroclaw University of Technology in Poland. Then he did a PhD in computational neuroscience at the University of Bristol, and next he worked as a postdoctoral researcher at Princeton University, USA, jointly in the Departments of Applied Mathematics and Psychology. In 2004 he came back to Bristol where he worked as a Lecturer and then a Reader. He moved to the University of Oxford in 2013.

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Ramon Llull University (URL, Barcelona) Research Methods and Statistics full professor since 2017, my main field of research is brain's connectivity using fMRI, specifically working with non-linear methods to explore the brain's dynamics in neurodegenerative (Alzheimer and Parkinson) and chronic (Fibromyalgia) diseases. I've also worked on chronic pain characterization and psychological instruments validation. Since 2020, I'm also vice dean of Quality, Students and Employment in the Faculty of Psychology, Education and Sports Sciences in URL.

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Bio

Dr. Alessandro Crimi is a biomedical engineer and health economist who alternated his career between neuroimaging and healthcare management in low-income countries. 

He was born on June 25, 1981, in Palermo, Italy. After completing his studies in engineering at the university of Palermo, he obtained a PhD in machine learning applied for medical imaging by the University of Copenhagen,  and an MBA in healthcare management by the University of Basel.   

Alessandro worked as post-doctoral researcher at the French Institute for Research in Computer Science (INRIA), Technical School of Switzerland (ETH-Zurich), Italian Institute for Technology (IIT), and University Hospital of Zurich. In those institutes he made significant contributions in the field of computational neuroscience.    

The post-doctoral years at European institutes were alternated by period lived in Ghana and other Sub-Saharan countries where Dr. Crimi taught and carried out in-field projects about healthcare management. He taught for 8 years at the African Institute for Mathematical Science (AIMS) in Ghana and South Africa the course of machine learning in medicine, where he also supervised numerous MSc theses. Since Dr. Crimi moved to the center for computational medicine in Poland, where is a principal investigator, he had to limit his engagements with AIMS to MSc thesis supervision. The projects he conducted in Sub-Saharan Africa were related to prenatal care, diabetes, malaria and HIV management using novel technologies as machine learning, image processing and social engineering.

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Prof. Piotr Durka http://durka.info works at the University of Warsaw, Faculty of Physics, where he implemented the world's first Ist degree Neuroinformatics curriculum (2009) with open courseware https://brain.fuw.edu.pl/edu and Poland's first public presentation of BCI (2008). Founder of BrainTech http://braintech.pl and http://pisak.org. Believes in natural rather than artificial intelligence.

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Bio

Ernesto Estrada is Full Research Professor of the National Research Council of Spain at the Institute of Cross-Disciplinary Physics and Complex Systems (IFISC) in Palma de Mallorca, Spain. He is active in the field of mathematics applied to networks theory as well as its interdisciplinary applications. He has published more than 240 papers in this field as well as two textbooks with Oxford University Press (OUP). He is the founding Editor in Chief of the Journal of Complex Networks (OUP). For his researches he has been elected Member of the Academia Europeae, as a SIAM Fellow, as Fellow of the Institute of Mathematics and its Applications and of the Academy of Sciences of Latin America. He received the Wolfson Research Merit Award of the Royal Society in the U.K. He is well known for many of his works concerning "network communicability", "subgraph centrality", "d-path Laplacians", "degree-biased Laplacians", and their applications in many different fields.

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Ben Fulcher is a Senior Lecturer in The School of Physics at The University of Sydney. His research uses physical modeling, dynamical systems, genetics, and statistical machine-learning approaches to understand organizational principles of complex systems. Applications of his methods have focused on explaining patterns in neural structure and function in terms of underlying physical mechanisms.

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Magda Gawłowska is an assistant professor at the Institute of Applied Psychology at Jagiellonian University. Her expertise lies in EEG research, with a strong focus on the neural underpinnings of decision-making, error processing, and learning. She earned her PhD by studying the neural underpinnings of learning dynamics in a deterministic environment. Currently, she leads a research grant in which she further investigates the dynamics of learning processes using dense-array EEG and fMRI.

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Bio

Sonja Grün is director of the Institute of Neuroscience and Medicine (INM-6, Computational and Systems Neuroscience) and the JARA-Institut Brain structure-function relationships (INM-10) at Forschungszentrum Jülich, Germany, where she heads the Group on Statistical Neuroscience. She is also a full professor for Theoretical Systems Neurobiology at RWTH Aachen University, Germany. After receiving her diploma in physics (University of Tübingen), her Dr. rer. nat. in physics (University of Bochum) and her habilitation in neurobiology and biophysics (University of Freiburg, Germany), she was a post-doc at the Hebrew University, Jerusalem, (Israel), where she performed multiple singleneuron recordings in behaving monkeys. She then returned to computational neuroscience to develop analysis tools for multi-electrode recordings, first at the Max-Planck Institute for Brain Research in Frankfurt/Main, Germany, and then as an Assistant Professor at the Freie Universität in Berlin. In 2006 she became Unit Leader and in 2010 Team Leader at the RIKEN Brain Science Institute Wako-Shi, Japan, leading the Statistical Neuroscience lab, before she joined Forschungszentrum Jülich in 2011. Her work focuses on the development of analysis strategies and tools that uncover concerted activity in massively parallel electrophysiological recordings from cortex, which led to an additional focus on research data management.

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Jakub Janarek is a theoretical physicist who is currently focusing his expertise in the field of neuroscience. With a PhD in complex quantum  systems, he has a foundation in theoretical tools and computational methods, which he applies to study brain mechanisms such as brain criticality. He is also passionate about the intersection of machine learning and neuroscience, and applies machine learning techniques to analyse brain activity and study its diseases.

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Professor Romuald A. Janik is a theoretical physicist working at the Jagiellonian University. His research concentrates on string theory and holography, but he is also involved in research on machine learning, interested in incorporating insights from neuroscience and from physics, as well as analyzing artificial neural networks from a "cognitive" perspective.

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Shabnam Kadir is a mathematician with a history of interdisciplinary research in computational neuroscience, theoretical physics, pure mathematics and software engineering. Shabnam studied mathematics at Trinity College, Cambridge followed by a DPhil at the Mathematical Institute, Oxford. During her DPhil and subsequent postdoctoral research fellowships at the Fields Institute, Toronto, and the Institute fuer Algebraische Geometrie at Leibniz Universitaet, Hannover, she applied mathematical ideas inspired by string theory to topics in geometry and topology. In particular, she was inspired by the fruitfulness of using computational methods to inspire new and unexpected mathematical conjectures. This led her to start looking at problems in neuroscience during postdoctoral positions at UCL, Imperial, Rutgers and NYU. Her key achievements so far have been in developing machine learning algorithms for the processing and analysis of very large datasets by experimental neuroscientists. She is now a senior lecturer at the University of Hertfordshire and is building new techniques of topological data analysis for use on neuroscientific data, ranging from the auditory system, to vision and olfaction.

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Cemal completed his PhD in computational neuroscience at IMT Lucca, Italy. For his thesis, he examined structural brain plasticity in the case of early and acquired blindness. He is interested in methods for processing and analyzing neuroimaging data. In Sano, he is working on brain connectivity differences due to ischemic stroke, and in collaboration with EPFL Zurich, he is examining stress-related brain circuits in both animal and human fMRI.

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Onerva Korhonen is a network neuroscientist specialized in developing flexible and dynamic network models for human brain function. Their research interests include node definition strategies for functional brain networks, multilayer network representations of the brain, the functional role of brain regions’ changing functional homogeneity, and disruptive effects of neurological diseases on the brain’s network structure. After obtaining their PhD in Aalto University, Finland (2018), Dr. Korhonen has worked at Université de Lille (France) and Universidad Politécnica de Madrid (Spain). Currently they are an Academy of Finland postdoctoral fellow at the Department of Computer Science, Aalto University, Finland.

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Jarosław Kwapień works as an associate professor at Institute of Nuclear Physics, Polish Academy of Sciences in Kraków, Poland. His research interests comprise complex systems, statistical physics, complex networks, and the interdisciplinary topics like physics of financial markets, quantitative linguistics, and physics of human brain.

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Professor Maciej A. Nowak is a theoretical physicist, specializing in strongly correlated quantum systems, complexity theory and interdisciplinary applications of mathematical physics. Co-founder and director of the Mark Kac Center for Complex Systems Research, the current Flagship Project at the Excellence Initiative at the Jagiellonian University. Laureate of H. Niewodniczański prize, individual prize of the Prime Minister of Poland and individual prize of the Minister of Science and Higher Education for distinguished results in fundamental research. Member of the Scientific Excellence Council (RDN). Currently, he leads the team of physicists in large project TeamNet of the Foundation for Polish Science (FNP): “Bio-inspired artificial neural networks”.

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Géza Ódor is the head of Complex Systems Department in the Centre of Energy Research in Budapest. He obtained EE BSc from TU Budapest, Physics MSc at U. of Illinois of Chicago, and PhD from Eotvos Univ. of Sciences of Budapest in statistical physics in 1996. He also got the degree of Doctor of Science from the Hung. Academy of Sciences in 2004. Besides many shorter visits in HZDR Dresden and Barcelona UPF he stayed in the USA at U. of Chicago 1991-1993 as TA, in CERN Geneva in 1990 and 2000 as scientific research associate. He has got a permanent position in the Inst. of Techn. Phys. and Materials Science which now belongs to the Centre of Energy Research in Budapest. He also teaches in the doctoral school of the Eotvos and Debrecen science universities.

Giovanni Petri, PhD is a Professor in the Network Science Institute at Northeastern University London. He also holds affiliations as Principal Researcher at CENTAI, and as Guest Scholar in the Networks Units of IMT Lucca. Previously, he was Senior Research Scientist in the "Mathematics and Complex Systems" lab of ISI Foundation since 2016. He is a theoretical physicist that shortly after graduating decided that complex systems – in the broadest sense – were more intriguing than cosmology. He fell in love with the idea of high-order interactions, of emergent properties and ended up earning a PhD on complex networks at Imperial College London in 2012. Theoretical approaches never stopped fascinating him, and he continues this research today working at the interface between complex systems and algebraic topology. His research spans the analysis of neuroimaging data and AI systems with topological techniques, the formalization of cognitive control models with tools of statistical mechanics and network theory, and the study of the predictability of socio-technical systems.

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Veronique Pierron-Bohnes (IPCMS, Strasbourg) is a research director (equivalent to professor) at CNRS, France, since 2001, emeritus from 2021. Her research topics are centered on solid state physics, mainly short and long range order in alloys and intermetallic compounds, correlations between structure and magnetism, strains in thin films and multilayers : statics and dynamics, experiments and simulations. She is strongly involved in the "Femmes et Sciences" (Women and Science) French association, which aims to promote science and technology among women and young people, to promote women in science and technology, and set up a support network.

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Fabian Sinz is a Professor for Machine Learning at University of Göttingen since 2021. He is also an Independent CyberValley Research Group Leader for Neuronal Intelligence at the Wilhelm-Schickard-Institute for Computer Science at the University of Tübingen and an Adjunct Assistant Professor at the Center for Neuroscience and Artificial Intelligence at Baylor College of Medicine in Houston, Texas. He has held various positions in research, including a postdoctoral associate and research assistant professor in the Department of Neuroscience at Baylor College of Medicine. He earned his PhD from the Max Planck Institute for Biological Cybernetics/Graduate School for Neural and Behavioral Sciences at the University of Tübingen. Prior to that, he studied Philosophy and Bioinformatics at Eberhard-Karls Universität Tübingen. His research interests include system identification models for the visual cortex, machine learning for computational neuroscience, machine learning in closed/frozen loop experiments, and inductive biases of biological neuronal systems.

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Sebastiano Stramaglia is Full Professor of Applied Physics at the University of Bari, Italy. He received MD in Physics (1991) on models of strongly correlated electronic systems and PhD in Physics (1994) on Statistical Mechanics of random surfaces. Dean of the Center of Excellence “Innovative Technologies for Signal Detection and Processing”, funded by the Italian Ministry for Scientific Research; member of the V National Scientific Commission of INFN-Istituto Nazionale di Fisica Nucleare, Italy. He chaired several international events, including “Modeling Migraine: from nonlinear dynamics to clinical neurology” July 2009, Berlin, the series of workshop “QBIO – Quantitative Biomedicine in Health and Disease”. Editor of the books “Modelling Biomedical Signals”, World Scientific 2002, and “Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences”, Springer 2017. He has been visiting scientist at the Institute for Theoretical Physics NORDITA and at the Department of Data Analysis of the University of Gent, Belgium. Visiting Professor at Biocruces Health Institute, and External Scientific Member of the Basque Center of Applied Mathematics (BCAM), Bilbao, Spain. Since 2003 he is the team leader of the INFN project “Biological applications of Theoretical Physics Methods”. Sebastiano has published more than 150 scientific articles and his research focuses on models for data analysis in complex systems and network neuroscience.

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