Stefania Bandini*, Giuseppe Vizzari
Department of Computer Science, Systems and Communications (University of Milano-Bicocca)
*Research center for Advanced Science and Technology (The University of Tokyo)
Simone Bianco (University of Milano-Bicocca)
Marco Breda (Engineering Ingegneria Informatica S.p.A., Rome ITALY)
Davide Ciucci (University of Milano-Bicocca)
Sarah Cosentino (Waseda University, Tokyo – JAPAN)
Florian Coulmas (University of Duisburg – GERMANY)
Elisabetta Fersini (University of Milano-Bicocca)
Francesca Gasparini (University of Milano-Bicocca)
Marco Gori (University of Siena)
Rafah Hosn (Microsoft, New York – USA)
Tomoo Matsuda (Mitsubishi Research Institute, Tokyo, JAPAN)
Enza Messina (University of Milano-Bicocca)
Matteo Palmonari (University of Milano-Bicocca)
Rafael Penaloza (University of Milano-Bicocca)
Gabriella Pasi (University of Milano-Bicocca)
Luigi Portinale (University of Piemonte Orientale)
Katsuhiro Nishinari (RCAST, The University of Tokyo, JAPAN)
Alessandro Ricci (University of Bologna)
Luciano Serafini (Fondazione Bruno Kesskler, Trento)
Fabio Stella (University of Milano-Bicocca)
Guglielmo Tamburrini (Università di Napoli Federico II)
Marco Viviani (University of Milano-Bicocca)
Simone Bianco is assistant professor in Computer Science at the University of Milano-Bicocca. He obtained the PhD in Computer Science at DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione) of the University of Milano-Bicocca, Italy, in 2010. He obtained the BSc and the MSc degree in Mathematics from the University of Milano-Bicocca, Italy, respectively in 2003 and 2006. His research interests include computer vision, machine learning, optimization algorithms, and color imaging.
Fabio L. Bonali is Researcher at the University of Milan-Bicocca (Milan, Italy), where he conducts his research on “Seismic and Volcanic Hazard”, “Active tectonics” and “Volcano-tectonics”. He achieved his PhD in Earth Sciences in 2014 and has specialized in field and drone surveys, numerical and physically-scaled modelling applied to research performedin Italy, Iceland, South America and Asia. His research resulted in 30 scientific papers in international, peer-reviewed journals, on seismology, active tectonics and surface faulting, and the relations between tectonics and volcanism. Since 2007, he has participated in 10 international projects; since 2017 he has been leading three international projects supported by the North Atlantic Treaty Organization (NATO) and the European Space Agency (ESA). He received three international awards in 2018 (Flinn-Hart Award by the International Lithosphere Program Burea; Emergency Management Agency (LEPL) – Ministry of Internal Affairs of Georgia; European Geosciences Union (EGU) through the EGU Public Engagement Grants, the last for using immersive virtual reality and extending its use to people affected by motor disabilities. He is active in international dissemination activities with ILP and EGU, and under the aegis of the Italian Geological Society.
Marco Breda is currently Manager of the Advanced Analytics Competency Center at Engineering Ingegneria Informatica, where, with machine learning paradigms, complex analytical systems are designed and built for public and private industrial companies in all the main ICT sectors. Before joining Engineering in 2009, he has worked as a Data Warehouse, Business Intelligence and Data Mining project manager in various IT companies since 1998. Previously he worked in Ericsson Telecomunicazioni’s Research Division, since 1991, dealing with Broadband Networks and Complex Systems. And before that, since 1990, in TIM, designing advanced private networks for large users. In parallel, since 1997, he is working as an Associate Researcher at the Semeion Research Center, mainly involved in basic research activities in Artificial Intelligence, producing about thirty publications. Since 2010 he is a lecturer at the “Enrico della Valle” School, giving courses on Data Warehousing and Advanced Analtyics. He received a M.Sc., summa cum laude, in Electronic Engineering in 1989, from the “Sapienza” University of Rome.
Department of Informatics, Systems and CommunicationU
University of Milano-Bicocca (ITALY)
Davide Ciucci received a PhD in 2004 in computer science from the University of Milan and the HdR (habilitation) from the University of Toulouse III in 2013. He is associate professor at the University of Milano-Bicocca, where he previously held a researcher position from 2005 to 2017. His research activity is about uncertainty management, with particular reference to rough sets and non-classical logics. He is the elected president of the International Rough Set Society (IRSS) and Senior Area Editor of Int. J. of Approximate Reasoning.
Gobal Center for Science and Engineering
Waseda University, Tokyo (JAPAN)
Sarah Cosentino is a hands-on engineer and academic researcher. She started working as a freelance collaborator in an Electronics company during high-school, until earning her M.Sc. in Electronic engineering at Politecnico di Milano. Straight after her graduation she moved to Japan, to work as a Robotics Engineer. She earned her Ph.D. in Robtics at Waseda University, where she currently holds a position as Associate Professor. During her career she collaborated with several other researchers across the globe, spending months in leading universities in U.S. and Europe. Her main interests are human physiology, human sensing, human communication, affective computing and human-machine interaction. She has hands-on experience in electronic design and assembly, and a wide researching experience in developing sensor systems for applications mostly related to human sensing and human-robot interaction, authoring several publications on her specific work.
Institute of East Asian Studies
University of Duisburg-Essen (GERMANY)
Department of Informatics, Systems and Communication
University of Milano-Bicocca (ITALY)
Elisabetta Fersini, PhD in Computer Science, is currently assistant professor at the University of Milano-Bicocca (Department of Informatics, Systems and Communications). Her research is mainly focused on propositional and relational machine learning, with a particular interest on probabilistic discriminative and generative models. Her activity finds application in several natural language processing tasks, among which text classification and clustering, information extraction and sentiment analysis both for well-formed text and social media contents.
Francesca Gasparini is an associate professor at the University of Milano-Bicocca. She is head of the multimedia Signal Processing Laboratory. She took her degree in Nuclear Engineering at the Polytechnic of Milan in 1997 and her Ph.D in Science and Technology in Nuclear Power Plants at the Polytechnic of Milan in 2000. Her main research topics are related to image and signal processing and multimedia applications. She is particularly interested in processing and analysis of neurophysiological data (e.g., EEG, heart rate, blood pressure), as well as psychophysical ones, using machine learning techniques, genetic programming and optimization algorithms. She is a member of NeuroMi, Milan Center for Neuroscience.
Department of Engineering of Information and Mathematical Sciences
Marco Gori received the Ph.D. degree in 1990 from Università di Bologna, Italy, working partly at the School of Computer Science (McGill University, Montreal). In 1992, he became an Associate Professor of Computer Science at Università di Firenze and, in November 1995, he joint the Università di Siena, where he is currently full professor of computer science. His main interests are in machine learning with applications to pattern recognition, Web mining, and game playing. He is especially interested in bridging logic and learning and in the connections between symbolic and sub-symbolic representation of information. He was the leader of the WebCrow project for automatic solving of crosswords, that outperformed human competitors in an official competition which took place during the ECAI-06 conference. As a follow up of this grand challenge he founded QuestIt, a spin-off company of the University of Siena, working in the field of question-answering. He is co-author of “Web Dragons: Inside the myths of search engines technologies,” Morgan Kauffman (Elsevier), 2006, and “Machine Learning: A Constrained-Based Approach,” Morgan Kauffman (Elsevier), 2018. Dr. Gori serves (has served) as an Associate Editor of a number of technical journals related to his areas of expertise, he has been the recipient of best paper awards, and keynote speakers in a number of international conferences. He was the Chairman of the Italian Chapter of the IEEE Computational Intelligence Society, and the President of the Italian Association for Artificial Intelligence. He is a fellow of the IEEE, EurAI, IAPR. He is in the list of top Italian scientists kept by the VIA-Academy.
Rafah A. Hosn (https://www.linkedin.com/in/rafahhosn/) is currently a Senior Director of Program Management and Design at Microsoft Research. In her current role, she and her team champion technology transfers out of the Microsoft Research labs in New York, New England and Montreal into Microsoft products. In 2018, she joined the Microsoft Research lab in New York as a Microsoft Principal Program Manager. In this role, she led and continues to lead the Reinforcement Learning tech transfers out of the Microsoft Northeast Research labs into various Microsoft divisions. Prior to joining Microsoft, Rafah spent 18 years at IBM. Her career spanned a multitude of roles and focus areas starting at IBM Research with a focus on Dialog Management and Programming Models, to Product and Development Management in various IBM divisions including 6 years in the IBM Watson division. Prior to joining IBM, Rafah worked on Natural Language models at Bell Research Labs (part of Nortel) in Montreal, Canada. Rafah holds an undergraduate degree in Computer Engineering and a masters in Computer Science from McGill university in Canada as well as an Executive MBA from Columbia University in New York.
Leonardo Mariani is a Full Professor at the University of Milano-Bicocca and Director of the PhD School in Computer Science. He holds a Ph.D. in Computer Science received from the same university in 2005. His research interests include software engineering, and in particular software testing, program analysis, automated debugging, and self-healing and self repairing systems. He has authored more than 100 papers published in top software engineering conferences and journals. He has been awarded with the ERC Consolidator Grant in 2015, an ERC Proof of Concept grant in 2018, and he is currently active in several European and National projects. He is regularly involved in organizing and program committees of major software engineering conferences. He is currently the chair of the 19th International Conference on Runtime Verification.
Tomoo Matsuda has been specializing in active aging society and revitalization of the community as a research director of Mitsubishi Research Institute (MRI) in Tokyo, and visiting professor of Kochi University. He founded MRI’s new policy project “Platinum Society Association” in 2010. Now almost 520 members from industry, government, and academia all over Japan have joined this association. He has been conducted many research projects with the public and private clients, and has been serving as committee member and advisor as follows:#Cabinet Office: Aging society forum committee.
#Cabinet Secretariat: Japan model Continuing Care Retirement Community advisory council.
#OECD: Lead speaker of the round table on a resilient city in aging society in 2014.
#Kochi prefecture: Local vitalizing promotion council.
#Ishikawa prefecture: Niche and top company evaluation Committee.
He is also author of the book “ The Japan style CCRC” in 2017 and co-author of the book “Future of Japan where elderly shining”. He graduated from Keio university, faculty of law department of political science in 1989.
Enza Messina is a Professor in Operations Research at the University of Milano-Bicocca (Department of Informatics Systems and Communications), where she founded the research Laboratory MIND (www.mind.disco.unimib.it). She holds a PhD in Computational Mathematics and Operations Research from the University of Milano. Her research activity is mainly focused on the development of models and methods for decision making under uncertainty and more recently on statistical relational models for data analysis.In this area her contribution has been devoted to the development of both static and dynamic models forrelational clustering and classification in different application domains such as web mining, system biology, finance, ambient intelligence, e-forensics.In the last years her main focus is on data analytics, machine learning and inference methods for natural language processing to facilitate information extraction from user generated contents in social networks.
Daniela Micucci obtained her Ph.D. in Mathematics, Statistics, Computational Sciences and Computer Science from the University of Milano in 2004. She is currently an assistant professor at the University of Milano Bicocca. Her research interests include software engineering, in particular software architectures, real-time systems, and self-healing and self-repairing systems. She is currently active in several European and National projects. She is also regularly involved in the program committees of workshops and conferences in her areas of interest.
Paolo Napoletano is assistant professor of Computer Science (tenure track – RTDB) at Department of Informatics, Systems and Communication of the University of Milano-Bicocca where he coordinates several research activities in the area of photo sharing and storage service, Internet of Things and Intelligent Vehicles within projects supported by both industry and public institutions. He has got the Italian National Academic Qualification as Associate Professor of Computer Science (01/B1) in April 2017. He joined the Imaging and Vision Laboratory of the University of Milano-Bicocca in 2012. From 2007 to 2012 he worked as research associate at University of Salerno (Italy) focusing on information retrieval and data mining. In 2007, he received a Doctor of Philosophy degree (PhD) in Information Engineering from the University of Salerno (Italy) with a thesis focused on Computational Vision and Pattern Recognition. In 2003, he received a Master’s degree in Telecommunications Engineering from the University of Naples Federico II, with a thesis focused on Transmission of Electromagnetic Fields. His current research interests focus on signal, image and video analysis and understanding, multimedia information processing and management and machine learning for multi-modal data classification and understanding. He is Associate Editor of the MDPI Sensors Journal (Internet of Things and Intelligent Sensors sections) and IET Electronics Letters, Review Editor of the Frontiers section Vision Systems Theory, Tools and Applications. His past teaching duties included Computer Design and Architecture, Computer Networks, Database and Information Systems and Foundation of Computer Science. At the University of Milano-Bicocca he is adjunct Professor of Internet of Things, Service Science and Database Laboratory.
Professor at Research Center of Advanced Science and Technology (RCAST), The University of Tokyo. The objective of his research is to elucidate the emergen behavior of complex systems in terms of mathematical physics, as well as considering real applications of the emergent systems. We are especially interested in the interdisciplinary study of collective dynamics of self-driven particles and its jamming phenomena, which we call jamology, including vehicles, pedestrians, ants, packets in logistics and internet, proteins in organisms. The jamming phenomena in this study is considered as a kind of dynamical phase transition from free to congested state due to instability of flow. Our research is based on mathematical and physical analysis, followed by computer simulations and experiments in order to create better models that show emergent properties. The research subjects include reduction of traffic jam on highway, smooth evacuation of pedestrians, social animals and their emergent behaviors, supply chain network and granular flow.
Matteo Palmonari (PhD) is associate professor at University of Milan-Bicocca. His research interests concern semantics in data integration and Artificial Intelligence. He has been active in the ontology matching field, with a particular focus on interactive matching methods. He is author of several papers in conferences and journals such as AAAI, WWW, ISWC, ESWC, CAISE, JAIR, Semantic Web Journal, Information Systems, Journal of Web Semantics and DKE. He is general coordinator of EW-Shopp (Supporting Event and Weather-based Marketing Along the Customer Journey) and unit coordinator in euBusinessGraph, two H2020 projects where semantics and AI are applied to support innovative services in different sectors.
Gabriella Pasi is Full Professor and Head of the Department of Informatics, Systems and Communication (DISCo) of the University of Milano Bicocca, Milano, Italy. Within DISCo she leads the Information Retrieval Lab. Her main research activities are related to Information Retrieval, Information Filtering and Decision Support. In recent years she has addressed the issues of contextual search and user modelling. She is also conducting research activities related to the analysis of user generated content on social media. She has published more than 250 papers on International Journals and Books, and on the Proceedings of International Conferences. She is involved in several activities for the evaluation of research; in particular, she was appointed as an expert of the Computer Science panel for the Starting Grants and Consolidator Grants of the Programme Ideas at the European Research Council. She is Associate Editor and member of the Editorial Board of several international journals, and she has delivered several keynote talks/plenary lectures at international conferences related to her research interests. She has participated to the organization of several International events, in both roles of organization and program chair.
Rafael Peñaloza is an Associate Professor at the University of Milano-Bicocca, Italy. After obtaining his PhD (Dr. rer. nat.) from TU Dresden, Germany, he started working on formalisms for representing imprecise knowledge; specifically, on the properties of Fuzzy Description Logics (FDL). His work on that area led to a complete characterisation of the complexity of FDL languages. He has over 100 publications in highly ranked international conferences and journals. He also likes to read and write.
Laurea degree in Computer Science in 1988 (summa cum laude) at the University of Torino; PhD in Computer Science in 1994 (University of Torino and Milano consortium). From 1993 to 2000 Assistant Professor of Computer Science at the Faculty of Science, University of Torino and University of Eastern Piedmont. From 2000 to 2004 Associate Professor of Computer Science at the Faculty of Science, University of Eastern Piedmont. From 2004 Full Professor of Computer Science at the same University. Vice-director of the Computer Science Department from 2005 to 2007. Director of the Computer Science Department from 2007 to 2011. Head of the Computer Science Institute of the Department of Sciences and Technological Innovation from 2012 to 2018. His research interests focus on knowledge representation and reasoning in Artificial Intelligence systems, with particular attention to Case-Based Reasoning (CBR) methodologies, Probabilistic-Based Uncertain Reasoning (Bayesian Belief Networks) and Intelligent Data Analysis. He received the Sollac prize for the best paper (a joint work with L. Console and D. Theseider Dupre’) on 1991 at the 11th International Workshop On Expert Systems and their Applications (Avignon), and the D.J. Groen Prize 2015 of the Safety and Reliability Group of the Institution of Mechanical Engineers (UK) for the paper “Approaching Dynamic Reliability with Predictive and Diagnostic Purposes by exploiting Dynamic Bayesian Networks”, published on Journal of Risk and Reliability, 228(5), 2014 (with Daniele Codetta Raiteri). He has been invited to give scientific talks in several national and international institutions among which ITC-IRST, MIT, Georgia Tech, MITRE Corp., University of Zaragoza, University of Murcia. He has been invited speaker at MMR2004 and MMR2007 conferences (Mathematical Methods in Reliability). He is member of the Italian Association for Artificial Intelligence (AI*IA), of the Association for the Advancement of Artificial Intelligence (AAAI) and of IEEE Computer Society. He’s author (with D. Codetta Raiteri) of the book “Modeling and Analysis of Dependable Systems: a Probabilistic Graphical Model Perspective”; World Scientific Publ. (2015).
Alessandro Ricci is an Associate Professor of the Department of Computer Science and Engineering, University of Bologna (Italy). His research interests concerns agents and multi-agent systems (MAS) as a paradigm for modeling and engineering software systems. His main research contributions are in the context of Agent/MAS programming and Engineering MAS. He is an active contributor of the Agent and Multi-Agent Systems research community – he has been co-organisers of workshops such as ProMAS (Programming MAS) and more recently EMAS (Engineering MAS). In 2020 he serves as co-chair of the Blue Sky Special Track at AAMAS conference. Recent research investigations are about Mirror Worlds and Augmented Worlds, i.e. smart environments integrating multi-agent systems with “augmentation technologies” (Augmented Reality/Mixed Reality, Pervasive computing), and to the integration of (Machine) Learning into the process of Agent/MAS design and development.
David Rudrauf is a psychologist and neuroscientist. He obtained a Ph.D. in Cognitive Sciences from Pierre and Marie Curie University in Paris (2005), a Ph.D. in Neurosciences from the University of Iowa in Iowa City, USA (2005), and a Habilitation from the University Joseph Fourier in Grenoble France (2015). He has worked as an Assistant Professor of Neurology & Radiology, in the Department of Neurology of the University of Iowa in Iowa City, USA (2008-2011), where he directed the Laboratory of Brain Imaging and Cognitive Neuroscience; as a researcher at the Laboratoire d’Imagerie Fonctionelle (INSERM, UMR S 678), Paris, France (2012-2014) and at the Grenoble Institute of Neuroscience GIN (INSERM), Grenoble, France (2014-2016). He is now (Associate) Professor of Psychology at the University of Geneva, FAPSE, Department of Psychology, a member of the Swiss Center for Affective Sciences, Campus Biotech, and of the Centre Universitaire d’Informatique. He is the Director of the Laboratory of Multimodal Modelling of Emotion & Feeling. After years of research in neuroscience, neuropsychology, electrophysiology and multimodal neuroimaging in the US and in France, his current research has moved to computational psychology, and the development of a model of embodied consciousness (Rudrauf et al, 2017), which he combines with virtual reality and robotics, in order to study the normal and pathological mechanisms of the mind, with a focus on imagination, social perspective taking and emotion regulation, and their relations to behaviour and the brain.
Luciano Serafini is the head of the Data and Knowledge Management Research Unit, at Fondazione Bruno Kessler, Trento, Italy. Luciano Serafini has a 30 year experience in academic research and technology transfer in the area of knowledge representation and reasoning, artificial intelligence and Knowledge and Data Management. His research interests include logic for distributed knowledge (since 1990 development of the logic of context) information integration, automated reasoning, multi agent system, ontological reasoning for the semantic web, collaborative knowledge acquisition and modelling. In the last 10 year he dedicated a large effort in the challenge of integrating reasoning and learning with logical and statistical knowledge. Recently he proposed Logic Tensor Networks as a framework that integrates neural networks and fuzzy logic. This framework has been successfully applied in the task of semantic image interpretations. In 2015 he obtained the Italian full professor habitation (“abilitazione nazionale di prima fascia) in the sector of Informatic Science. He regularly supervises Master and Ph.D students, at the University of Trento, Verona, Milano, Padova and Graz, and his Teaching activity includes courses in Database, Information systems, Mathematical Logic, Knowledge Representation and reasoning, data mining and Semantic Web, for the Master degree and Doctoral Degree at the University of Trento, Bolzano and Padova.
Fabio Stella is Associate Professor in the Department of Informatics, Systems and Communication at the University of Milano-Bicocca. He received his Ph.D. in Computational Mathematics and Operations Research at University of Milano in 1995. He worked as assistant professor in University of Milano from 1993 to 1998 before joining the University of Milano-Bicocca in 1998. He worked as research assistant in the EEC IMPROD project devoted to improve quality of semiconductors using the Data Mining methodology. From 1998 to 2000 he worked as research leader in the Pirelli P-Vision project to improve tyre’s performance using Data Mining. From 2000 to 2001 he was consultant for the Risk Management of Banca Intesa. His main research activities include; Bayesian networks, continuous time Bayesian networks, Feedforward neural networks, on-line portfolio selection algorithms and probabilistic topic models.
He serves as referee for many International Journals; Journal of Approximate Reasoning, Expert Systems with Applications, BioData Mining, Journal of Biomedical Informatics, Pattern Recognition Letters, Data Mining and Knowledge Discovery, Information Processing and Management, European Journal of Operations research, and Quantitative Finance. From 2015, he is member of the Programme Committee of the Uncertainty in Artificial Intelligence conference. In 2017 he becomes member of the Programme Committee of the RecSys Conference.
From 2006, Fabio Stella teaches Probability and Statistics for Bachelor of Science in Informatics and from 2007 he teaches Data and Text Mining for Master of Science in Informatics at the University of Milano-Bicocca. He also teaches Data and Text Mining in foreign Universities. Furthermore, starting from 2018 he teaches Machine Learning for the Master of Science in Data Science. In 2016 he developed the Massive Online Open Course pathway titled Introduction to Data Mining. The pathway is freely available on the EduOpen platform and consists of three courses.
Guglielmo Tamburrini (PhD 1987 in Philosophy, Columbia University, NY) is Professor of Philosophy of Science and Technology at Università di Napoli Federico II in Italy. Current research interests include ethical implications of robotic and AI technologies and systems. Coordinator of the first European project on the ethics of robotics (ETHICBOTS, 2005-2008, VI FP), visiting scholar at ZIF (Zentrum für Interdisziplinäre Forschung – Universität Bielefeld, 2009-10), in 2014 he was awarded the Giulio Preti Intn’l Prize by the Regional Parliament of Tuscany for his work on ethical and social implications of ICT and robotic technologies. Member of ICRAC (International Committee for Robot Arms Control) and USPID (Unione Scienziati Per il Disarmo). Current teaching activities include applied ethics courses for doctoral and master study programs in computer science and robotics.
Marco Viviani is Assistant Professor at the Department of Informatics, Systems, and Communication (DISCo) of the University of Milano-Bicocca (Milan, Italy). He graduated in Computer Science and he obtained the Ph.D. in Informatics from the University of Milan (Italy). Since then, he has worked at recognized academic institutions, both in Italy and abroad. He has been Postdoctoral Research Fellow at the University of Burgundy (Dijon, France) for one year, and Postdoctoral Research Fellow at the Institut National des Sciences Appliquées (INSA) (Lyon, France) for two years. From 2011 to 2013 he held a Postdoctoral Research Fellow at the University of Insubria (Varese, Italy). He is involved in the organization of scientific events and member of the Program Committee of several International Conferences. His main topics of interest include: Knowledge Management, Social Media Analytics, Trust and Reputation Modeling, Information Retrieval, User Modeling, Aggregation Operators. On these topics, he has published several papers in International Journals, Books, and Conferences.
Giuseppe Vizzari is Associate Professor and member of the Complex Systems and Artificial Intelligence research center at the Department of Computer Science, Systems and Communication (University of Milano-Bicocca, Milan, Italy). He has been a fellow of the Japanese Society for the Promotion of Science (JSPS). He published more than 120 papers on international journals and conferences. The main research activities of Giuseppe Vizzari are focused on two main research fields: (i) the definition of models, instruments, tools and applications of Multi-Agent Systems (especially for the simulation of complex systems) and (ii) the modeling, design and implementation of Knowledge-Based Systems.