Candidates to ENNS President and ENNS ExCom posts

The election of the new ENNS president and new Executive Committee for 2020-2022 will be held at the ENNS General Assembly during ICANN 2019 on Wednesday September 18 at 11am in Munich, Germany.


Candidate to President

Stefan Wermter, Germany

CV: Stefan Wermter is Full Professor at the University of Hamburg and Director of Knowledge Technology in the Department of Computer Science. He holds an MSc from the University of Massachusetts in Computer Science, and a Doctorate and Habilitation in Computer Science from the University of Hamburg. He has been a research scientist at the International Computer Science Institute in Berkeley before leading the Chair in Intelligent Systems at the University of Sunderland. His main research interests are in the fields of neural networks, hybrid systems, neuroscience-inspired computing, neurocognitive robotics and crossmodal learning. He has been the general chair for the International Conference on Artificial Neural Networks 2014 and on the board of the European Neural Network Society for many years. He has been an associate editor of the journals “Transactions of Neural Networks and Learning Systems” and “Neural Networks”. Currently, he serves as an associate editor for “Connection Science”, “International Journal for Hybrid Intelligent Systems” and he is on the editorial board of the journals “Cognitive Systems Research”, “Cognitive Computation” and “Journal of Computational Intelligence and Applications”. He is co-coordinator of the International Collaborative Research Centre on “Crossmodal Learning” and coordinator of the European Training Network SECURE on Safety for cognitive robots.

More details can be found at:

Candidates to the ENNS Executive Committee (preliminary list)

Missing CVs and photos will be added soon.

Lubica Beňušková, Slovakia
CV: Lubica Benuskova obtained her PhD in Biophysics at the Comenius University in Bratislava, Slovakia. She also received a Master degree in Psychology from the Vanderbilt University in Nashville, TN, USA. Lubica is currently a full Professor at the Faculty of Mathematics, Physics and Informatics of the Comenius University in Bratislava, Slovakia. Within years 2003-2016, she was first with the Knowledge Engineering and Research Discovery Institute of Auckland University of Technology, and then became an Associate Professor at the Otago University in Dunedin, New Zealand. While in New Zealand she was a member of the CoRE “Brain Research New Zealand – Rangahau Roro Aotearoa” and one of the Principal Investigators of the Brain Health Research Center at U. Otago. For several years, she also served as a member of the Neural Networks Technical Committee, Computational Intelligence Society (CIS) of IEEE and as an Associate Editor of the IEEE TNN&LS. Her research interests are mainly in the area of computational neuroscience, synaptic mechanisms of learning and memory, and dynamics of spiking neural networks. Several research stays have taken her among others to SISSA, Italy, Goethe University in Frankfurt, Germany and the lab of the Nobel Prize winner Leon N Cooper at Brown University, Providence, RI, USA.

Jeremie Cabessa, France
CV: Jérémie Cabessa obtained a Masters in mathematics from the Swiss Federal Institute of Technology (EPFL) and a PhD in theoretical computer science from the Universities of Paris 7 and Lausanne. He is now Associate Professor at the University Paris 2, France. Jérémie’s research focuses on the computational capabilities of neural networks as well as on the implementation of abstract models of computation, like automata and Turing machines, into bio-inspired neural architectures. He collaborates with the U.S. Defense Advanced Research Projects Agency (DARPA) and with the Czech Academy of Sciences. He is the author of about 40 publications in the field.

Igor Farkaš, Slovakia
CV: Igor Farkaš holds a PhD degree in applied informatics and MSc degree in technical cybernetics, both from the Slovak University of Technology in Bratislava. In 2000-2003 he worked as a research fellow (postdoc) at the Department of Psychology, University of Richmond, VA. Since 2003 he has been affiliated with the Department of Applied Informatics of the Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava (since 2014 as a full professor and the head of department) where he also leads the Cognition and Neural Computation research group, and coordinates the Centre for Cognitive Science ( Igor Farkaš received Fulbright scholarship (Department of Computer Sciences, University of Texas in Austin), and Humboldt scholarship (Department of Computational Linguistics and Phonetics, Saarland University, Germany). He has conducted research in artificial neural network modeling with the focus on cognitive robotics and language learning, but also computational analyses of neural network models (deep networks, echo state networks), and reinforcement learning. In the field of education, he coordinates the Middle European interdisciplinary master program in Cognitive Science and serves as the local manager within the consortium of universities ( He has supervised 6 doctoral, 43 master and 7 bachelor theses.

Pavel Karpov, Germany
CV: Pavel Karpov graduated from the Chemistry Department of Moscow State University in 2007 (organic chemistry). After receiving his Ph.D. in 2012  with the thesis “One-class classification as a novel method for virtual screening” supervised by Dr. I. Baskin, he has been working as a researcher in Institute of Physiologically Active Compounds (Russian Academy of Sciences) for five years. Now he is working in Helmholtz-Zentrum Muenchen as a postdoctoral fellow on a cardio-oncology project. His interests include machine learning and its application for solving problems in medicinal chemistry, drug development, and chemoinformatics. He is the Publication Chair of the current conference.

Alessandra Lintas, Switzerland
CV: Alessandra Lintas received the M.S. degree in Chemical and Pharmaceutical Technology from the University of Sassari, Italy, in 2004, and the Ph.D. degree by the University of Cagliari in 2007, with a dissertation on reward systems and dynamics. She was awarded postdoctoral fellowships with the Geneva University Neurocenter, Switzerland, the Schulich School of Medicine at Western University, Canada and the Department of Medicine at the University of Fribourg. She is currently a Principal Investigator at the NeuroHeuristic Research Group, University of Lausanne, Switzerland. Her main research activity is focused on studying the brain networks involved in decision-making processes in experimental and simulated models. She served as secretary of ENNS for two years (2018-2019) and as deputy Treasurer of ENNS for the term 2017-2019.

Paolo Masulli, Denmark
CV: Paolo Masulli is a Postdoctoral Researcher at the Technical University of Denmark (DTU) and a Data Scientist at iMotions A/S.
He received the Ph.D. degree in Mathematics from Aarhus University, Denmark, in 2014. From 2014 to 2017 he was a Junior Lecturer at the University of Lausanne, Switzerland. He’s been on the Organizing Committee of all editions of ICANN since 2016 as Communication Chair and has served as Interim Secretary of ENNS in 2017. He’s a member of IEEE. Paolo manages the Biometric Healthcare Research Platform project at DTU, coordinating an international network of 10+ researchers and developers in building a state-of-the-art system to run studies based on wearable sensors.
His research interests include machine learning, artificial neural network and clustering applications to biosignals (eye-tracking, EEG, ECG) and interactions of topology and dynamics in networks, in particular within applications to theoretical neuroscience.

Alessio Micheli, Italy
CV: Alessio Micheli received the Laurea degree and the Ph.D. degree in Computer Science from the University of Pisa, Pisa, Italy, in 1998 and 2003, respectively. Currently, he is Associate Professor at the Department of Computer Science, University of Pisa, where he is the coordinator of the Computational Intelligence & Machine Learning Group (CIML). He is the national coordinator of the “Italian Working group on Machine Learning and Data Mining” of the Italian Association for the Artificial Intelligence (with more than 40 participating groups). He is co-chair of the IEEE CIS Task Force on Reservoir Computing.
His research interests include machine learning, neural networks, deep learning, learning in structured domains (sequence, tree and graph data), recurrent and recursive neural networks, reservoir computing models, kernel-based learning for non-vectorial data, applications to bioinformatics, cheminformatics, and intelligent sensor networks. He has been involved in several national and European projects in the fields of computational intelligence, robotics and cheminformatics. In these research areas, he has authored over 150 articles in international refereed journals and conferences. He joined the program committees of several conferences and workshops in Artificial Intelligence, Machine Learning and Neural Networks, and he currently serves as an Associate Editor of IEEE TNNLS.
Recently, he co-organized the “1st International Workshop on Reservoir Computing” within ICANN 2019.

Nathan Netanyahu, Israel
CV: Nathan Netanyahu and his colleagues at Bar-Ilan University, Israel, have been frequent active participants at ICANN during the past several years. Specifically, Nathan won Best Paper Award (with Eli David and Lior Wolf) at ICANN ’16 and gave a well received plenary talk at ICANN ’19 on “The Deep Learning R/Evolution in Computer Vision”. In addition, he contributed several joint papers (with his graduate students) to recent ICANN conferences, and his research students have won travel grants from the ENNS on a number of occasions.

Sebastian Otte, Germany
CV: Sebastian Otte is a post-doctoral researcher at the University of Tübingen, Germany. Between 2007 and 2012 he studied computer science at the RheinMain University of Applied Sciences in Wiesbaden and wrote his master thesis at the German Research Center for Artificial Intelligence (DFKI) in Kaiserslautern. From 2013 to 2016 he was a doctoral student in the Cognitive Systems group at the University of Tübingen. He received his Ph.D. in computer science in 2017 and joined the Cognitive Modeling group at the same university. His current research focusses mainly on recurrent neural networks and adaptive, predictive temporal forward models.

Jaakko Peltonen, Finland
CV: Jaakko Peltonen is a professor of statistics and data analysis at the Faculty of Information Technology and Communication Sciences, Tampere University, Finland, and leader of the Statistical Machine Learning and Exploratory Data Analysis research group. He is an expert in exploratory analysis of large and high-dimensional data, including nonlinear dimensionality reduction for data visualization, and learning from multiple data sources. He has 105 publications, with 1588 citations and h-index 20 in Google Scholar. He is an editorial board member of Neural Networks and Neural Processing Letters, editorial advisory board member of Heliyon, and currently executive committee member of the European Neural Network Society. He has served in organizing committees of eight international conferences, one international summer school, four tutorial/workshop events, and one Dagstuhl seminar, has served in program committees of 53 international conferences/workshops such as several years of ICANN, ESANN, NeurIPS, ICML, ECML PKDD, AISTATS, AAAI, MLSP, and others, and has performed referee duties for numerous international journals and conferences.

Antonio Javier Pons Rivero, Spain
CV: The research carried out during my career is varied. I have studied phenomena such as chemically originated convection, solidification, fracture, neuroscience or cell signaling. This variety shows the interdisciplinary nature of the field in which I work, Complex Systems. My research is mainly theoretical. I started my scientific career, analyzing theoretically and experimentally a chemically originated convective system, during my PhD at Barcelona University and at the University of Copenhagen (1999-2004). I continued with a postdoctoral stay at Northeastern University (Boston, USA) to study the control of structures produced during unidirectional solidification and the three-dimensional fracture of a mixed load system. During this period, I began to become interested in biophysics, particularly, in Neuroscience. I continued my career, already at the UPC, hired during 2007 in the group in which I am currently integrated. During this period I started a line of research in Neuroscience at a mesoscopic scale using the so-called neuronal mass models. From 2008 to 2010 I was hired in the “Juan de la Cierva” program and, subsequently, from 2008 to 2015, I became a Reading Professor. During this time I have initiated research, in collaboration with other group members, in the modeling of cellular signaling networks through Boolean networks or in the characterization of dynamics through symbolic networks together with Professor Cristina Masoller. I have co-directed three doctoral theses in the field of neuroscience. Finally, in 2015, I became an Associate Professor of the UPC.

Igor Tetko, Germany
CV: Dr. Igor Tetko received his MSc from Moscow Institute of Physics and Technology (summa cum laude – “red” diploma), which was one of the top-ranked Universities in the Soviet Union (analog of MIT at the USA). He did his postdoctoral study at the University of Lausanne in neuroinformatics where he developed algorithms for analysis of EEG data, synfire chains, theoretical modeling of thalamo-cortical organization of brain. Since 2001 Dr. Tetko is at Helmholtz Zentrum München, where he is a group leader in Chemical Informatics. He is the coordinator of Marie Skłodowska-Curie Innovative Training Network European Industrial Doctorates “Big Data in Chemistry”, which provides training in development and application of new machine learning algorithms in chemistry and life sciences. Dr. Tetko co-authored >200 publications in chemoinformatics, bioinformatics, neuroinformatics and machine learning. Since 2016 he is on the list of the Most Cited Researcher in Computer Sci. & Eng. ( In 2006 and 2011 Dr. Tetko received national awards (GO-Bio) for his methodological developments, which are the basis of the machine learning methods and software offered by BIGCHEM GmbH. He is PC Chair of ICANN2019.

Fabian Theis, Germany
CV: will be added when available

Roseli Wedemann, Brasil
CV: Roseli S. Wedemann has accomplished undergraduate and masters studies in physics and doctoral research in computer science (area of distributed algorithms), at the Federal University of Rio de Janeiro. She is currently a professor of the Institute of Mathematics of the University of the State of Rio de Janeiro. Her research and publications have recently focused on theoretical and computational models of complex systems, with emphasis on computational neuroscience and artificial neural networks, applying theoretical tools from statistical mechanics. She teaches undergraduate courses and participates in the Computational Science post-graduate program of her university, where she teaches and supervises young researchers. She coordinated the development of the project for the creation of this Computational Science program and has headed the program from 2014 to 2017. Roseli has participated regularly in the ICANN conferences, frequently as a member of the program committee, and has organized a workshop entitled “Workshop on Conscious and Unconscious Mental Functions” at ICANN 2012. She served as guest editor of the Special Issue “Selected Papers from the 26th International Conference on Artificial Neural Networks – ICANN 2017”, MDPI Publishers – Journal Entropy, 2018. She is also a reviewer for various renowned scientific journals, for various Brazilian science funding agencies, and participated in the program committee of various conferences.

Paul Verschure, Spain
CV: The Synthetic Perceptive, Emotive and Cognitive Systems Laboratory ( at the Barcelona Institute of Science and Technology and the Institute for Bioengineering of Catalunya is a research lab addressing fundamental questions on mind and brain. SPECS aims at developing a unified theory of mind and brain, to validate this theory using empirical and synthetic methods and by applying it to technologies that support and advance the human condition. SPECS comprises 30 researchers and technical staff with backgrounds in mathematics, physics, engineering, psychology, neuroscience and design and is directed by Dr. Paul F.M.J. Verschure who is a Research Professor with the Catalan Institute of Advanced Studies. SPECS’ research spans Neuroscience, Cognitive Science, Complexity Science, Robotics, Artificial Intelligence, Virtual and Mixed Reality and the application areas of Neurorehabilitation, Education, and Cultural Heritage.
To bring the science of SPECS to society the spin-off company Eodyne s.l. ( was founded. Eodyne commercializes novel science grounded neurorehabilitation, education and cultural heritage technologies including the neuroRehabilitation Gaming System and the Future Memory App. Eodyne has expertise in advanced technology development using state-of-art approaches in virtual and augmented reality, geolocalization and reconstruction, data visualization, big data processing, mobile applications, user experience design, mobile app development.