LECTURERS (alphabetic order)

Thea Aarrestad is a senior researcher and SNSF Ambizione fellow at the Institute for Particle Physics and Astrophysics at ETH Zürich. She holds a PhD in Particle Physics from The University of Zürich and has worked as a research fellow at CERN in Geneva before moving to Zürich. Her research centers on how Machine Learning can be applied to particle physics problems, especially focusing on using real-time Machine Learning (ML) for discovering new physics phenonema. She has worked on tools for performing low-power, nanosecond ML inference on field-programmable gate arrays (FPGAs) together with scientists from Google and Volvo-company Zenseact, as well as developing new methods for collecting and analysing proton collision data at the CERN LHC. She holds several publications in the topics of machine learning and particle physics in journals like Nature Machine Intelligence, PRL and JHEP, has been topic editor of Frontiers Big Data, coordinates the ML Innovation group for one of the largest experiments at CERN as well as the Fast ML for Science Community.

Davide Bacciu is Associate Professor at the Department of Computer Science, University of Pisa, where he is the founder and head of the Pervasive Artificial Intelligence Laboratory. He holds a Ph.D. in Computer Science and Engineering from the IMT Lucca Institute for Advanced Studies, for which he has been awarded the 2009 E.R. Caianiello prize for the best Italian Ph.D. thesis on neural networks. He has co-authored over 160 research works on (deep) neural networks, generative learning, Bayesian models, learning for graphs, continual learning, and distributed and embedded learning systems. He is the coordinator of two EC-funded project (Horizon EiC-Pathfinder and H2020), one national and several industrial research projects. He is a regular Program Committee member of NeurIPS, ICRL, ICML, IJCAI, AAAI, AISTATS, IJCNN. Davide is an IEEE Senior Member, a vice-chair of the IEEE CIS Neural Network Technical Committee, and the chair of the IEEE TF on learning for structured data. He has been serving in the board of the Italian Association for AI since 2015, from 2017 to 2021 he held the position of Secretary of the association and from 2022 he is Vice President. He is Senior Editor of the IEEE Transactions on Neural Networks and Learning Systems.

Full Professor of Computer Science at the University of Milano-Bicocca (ITALY), Fellow at The University of Tokyo, RCAST - Research Center for Advanced Science and Technology (JAPAN). Director of the Complex Systems & Artificial Intelligence Studies and Research Center, and of the Artificial Intelligence Lab of the Department of Informatics, Systems and Communication. Director of the Milano-Bicocca Cini Node "Artificial Intelligence & Intelligent Systems”. JSPS (Japanese Society for the Promotion of Science) Fellow at The University of Tokyo. Research Activity: Artificial Intelligence (Knowledge Representation, Engineering and Management); Complex Discrete Dynamical Systems (Cellular Automata, Multi-agent Systems). From 2004 she focused her activity in the field of crowds and pedestrians modeling and simulation to support crowd management in public spaces. She was/is Principal Investigator of several research and application national and international projects. From 2009 she extended her research in the field of mobility in an Ageing Society. She co-chairs the Working Group “Ageing Society” of the Italian Association for Artificial Intelligence. Her most recent research interest regards Affective Collective Intelligence.

Pierangela Bruno is a Computer Scientist. She got a master’s degree within a Dual Degree Program: Computer Science (University of Calabria, Italy, 2017) and Software Engineering (University of Applied Science of Upper Austria, Austria, 2017), and received her PhD in Mathematics and Computer Science at University of Calabria (2021). She held a post-doc position at the Department of Mathematics and Computer Science (University of Calabria, Italy, 2021). Currently, she serves as non-tenured Assistant Professor (RtdA) in the same Department. Her main research interests involve Deep Learning-based approaches for the analysis of biomedical images with the aim of providing an automated assessment of pathological conditions, detecting, and segmenting specific elements of medical interest.

Marta Calvi is full professor of Experimental Physics of Fundamental Interactions at the University of Milano-Bicocca, Department of Physics. She holds a PhD in Physics from the University of Milano. She is currently a member of the LHCb Collaboration at CERN, leader of the LHCb Milano Bicocca group, and has covered several responsibility positions inside the Collaboration. As an expert in the physics of b-quark, and in searches for phenomena confirming or breaking the Standard Model of Particle Physics, she has signed about one thousand publications. To face challenges emerging from the study of collisions at the Large Hadron Collider, she has developed and applied Machine Learning and Deep Learning to events reconstruction, identification, and interpretation.

Antonio Candelieri is an Assistant Professor at University of Milano-Bicocca, Italy. His research interests and activities are focused on (Automated) Machine Learning, Statistical Learning, Bayesian Optimization, Decision Making, and the interplay between Optimization and Machine Learning. He works on probabilistic models, such as Gaussian Processes and Random Forests, and their adoption in sampling and efficient optimization problems. He usually faced real-life problems characterized by “structured” data, mainly time series data and streaming data (e.g., online sensors data); main tasks are related to time series clustering/classification, anomaly detection or pattern search/query in data streams, forecasting.

Sarah Cosentino is a hands-on engineer and academic researcher. She startedworking 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 shecurrently holds a position as Associate Professor. During her career shecollaborated with several other researchers across the globe, spending months inleading 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.

Cristiano is a Lead AI Scientist at Pi School, tackling social or environmental challenges by leveraging emerging technologies. He holds a Ph.D. in Theoretical Physics from the International School for Advanced Studies (SISSA, Trieste). He pursued research in Quantum Field and Quantum Information Theory, especially on entanglement entropy. Afterward, he has been involved in Deep Learning R&D for five years. Starting from computer vision, he then switched to NLP. For three years, he was part of the AI team working on Samsung's virtual assistant as a Research Scientist. Moreover, Cristiano is a Machine Learning lecturer at the Master in High-Performance Computing (SISSA/ICTP, Trieste) and at Milano Bicocca University. More generally, he has a strong interest in AI and Quantum Technologies, especially for environmental applications (Twitter and LinkedIn).

Ivan Donadello is a Post Doctoral Researcher (RTD-A) at Free University of Bozen-Bolzano. He received his Ph.D. degree in Computer Science from Università degli Studi di Trento and Fondazione Bruno Kessler in 2018 with a thesis on the integration of logics and machine learning (Neural-Symbolic integration) for Semantic Image Interpretation. His current research interest mainly focuses on virtual agents (or softbots) able to recognize the health state of a person and give suggestions to improve it. His expertise encompasses the fields of Knowledge Representation (ontologies and Fuzzy Logic), Machine/Deep Learning, Computer Vision, eHealth and Explainable Artificial Intelligence.

Francesco Ferrise is an Associate Professor at the Department of Mechanical Engineering of Politecnico di Milano. Graduated with honors in Mechanical Engineering in 2005 at the University of Calabria, he obtained a PhD at the Politecnico di Milano in 2010. He carries out research activities in the field of Virtual, Mixed and Augmented Reality. He is the author of more than one hundred articles published in international journals and conferences on virtual, mixed and augmented reality technologies in numerous application areas: industrial, design, medical, marketing, sustainability, and basic research. He is Associate Editor of ASME Journal of Computing and Information Science in Engineering (JCISE) and Frontiers in Psychology and Computer Science (Human-Media Interaction). He is involved as a member of the scientific committee of the main international conferences on Virtual and Augmented Reality technologies and Human-Computer Interaction and in conferences on Design Methods and Tools.

PhD in Computer Science, is currently Associate Professor at the University of Milano-Bicocca. Her research is mainly focused on machine learning for natural language processing, with specific interests in topic modeling and language models. Her research finds application in document classification and clustering, information extraction, sentiment analysis and hate speech detection. She has co-authored more than 80 peer-reviewed publications and served as reviewer in top journals and conferences related to computational linguistics.

Julián García Pardiñas is a researcher at the University of Milano-Bicocca, where he holds a Marie Curie fellowship from the European Commission of Research. He obtained his Ph.D. in Experimental Particle Physics at the University of Santiago de Compostela, in Spain, and later worked as a postdoctoral researcher at the University of Zürich, Switzerland, before moving to Milano. He accumulates nine years of experience inside the LHCb experiment at CERN, having received multiple awards and fellowships for his work. His research combines data analysis of particle-collision events, in the search for hints of new particle interactions, and software developments for the data-collection system of LHCb. He has designed novel algorithms for data analysis based on the usage of heterogeneous computing architectures and on Machine Learning techniques. Dr. García Pardiñas is the Principal Investigator of a new project aiming at revolutionizing the data-collection system of the LHCb experiment through a novel full-event processing approach based on the usage of Graph Neural Networks.

Francesca Gasparini is associate professor at the Department of Informatics, Systems and Communication at the University of Milano-Bicocca. She took her Ph.D in Science and Technology in Nuclear Power Plants at the Polytechnic of Milan, and her master degree in Nuclear Engineering at the Polytechnic of Milan. She is the scientific coordinator of the Multimedia Signal Processing Laboratory. (www.mmsp.unimib.it). She is a scientific board member of NeuroMi Milan Center for Neuroscience https://neuromi.it/ and scientific coordinator of the research area of Computational and Systems Neuroscience. She is a member of the Italian Association for Artificial Intelligence AIXIA (www.aixia.it). Her research activity is focused on multimedia signal processing, analysis and understanding. From 2017 she enriched her research activity including affective computing, and brain computer interface, opening new fields of investigation in the Artificial Intelligence domain, extending her research activity on the field of the Ageing Society. She is currently coordinating several research activities in the area of electroencephalogram data processing and classification, Brain Computer Interfaces and physiological data analysis.

Gianluigi Greco is full professor of Computer Science at the University of Calabria, where he has held the position of Director of the Department of Mathematics and Computer Science since 2018. His research interests range in various fields of Artificial Intelligence, from the study of methods and techniques for representation and automatic reasoning on knowledge bases, to the definition of coordination and collaboration mechanisms in multi-agent systems, to the development of algorithms. responding to principles of fairness in the context of AI systems for decision-making. His research activities have received numerous awards in leading international conferences and journals in the sector, including the IJCAI Distinguished Paper Award in 2018 and the IJCAI-JAIR Best Paper Award in 2008. He is EurAI Fellow, the most prestigious award conferred by the European Association for Artificial Intelligence (EurAI); he also received a Kurt Goedel Research Prize Fellowship from the Kurt Goedel Society, and was awarded the AIxIA Marco Somalvico Award in 2009. He is a member of the editorial board of numerous computer journals and, in particular, he is Associate Editor of the Artificial Intelligence Journal. Since January 2022, he has been President of the Italian Association for Artificial Intelligence (AixIA).

MD in Computer Science at the University of Milano-Bicocca, she focused on the study of the PPG (Photopletysmograpy), GSR (Galvanic Skin Response) and EMG (Electromyography) signals. In 2021, she was involved in Logevicity Project where she analyzed the changes in elderly and young adults'pysiological signals under different conditions (walking conditions or cognitive conditions). She is currently involved as a research fellow in the AMPEL project (Artificial intelligence in the face of multidimensional poverty in the elderly), where she is carrying out research in recognizing the emotional state of elderly subjects starting from audio recordings of phone conversations.

Director (until 2022) and Professor at the Research Center of Advanced Science and Technology (RCAST), The University of Tokyo. His research interests regards neurobiology of insects and their adaptive behavior. The brains of animals switch their processing mode in order to exhibit behaviors that adapt them to a diverse range of environments by dynamically modifying the neural system in response to internal and external conditions. The aim of our research is to clarify the basic neural mechanisms for generating adaptive behaviors (or intelligence) using the interdisciplinary approaches of informatics, engineering and biology. As a model for the brain system we use insect brains that consist of 10^5 neurons. We have taken a combined approach at various levels, from genes over single neurons to neural networks, behavior, modeling, and robotics, owing to their seamless accessibility to a wide variety of methodological approaches. To examine the neural basis of behavior, we implemented a model of the neural circuit and integrated it with a mobile robot. Moreover, in order to understand the dynamics of the neural circuitry, we have developed an "insectrobot hybrid system" in which the insect or an isolated insect brain controls a robot. By comparing the hybrid system and model of the neural circuit of the insect, we can continuously improve the insect-brain model until we obtain a full emulation and complete understanding of the mechanisms of adaptability in the insect brain. Our research will lead to investigating the bio-robot hybrid system, and also to establishing basic technologies for operating these behaviors by artificially controlling the brain functions.

Dr Sae Kondo holds a doctorate in urban engineering from the University of Tokyo and is a PhD (engineering) and first-class architect. She has worked as a first-class architect in an architectural design company and was in charge of the design of housing complexes, train stations and the JR Central Linear Pavilion at the 2005 World Expo in Aichi, Japan. After working as a specially-appointed assistant professor at the University of Tokyo's Graduate School of Urban Sustainability and Regeneration Studies and at the University of Tokyo's Research Centre for Advanced Science and Technology, she has been an associate professor at Mie University's Graduate School of Engineering, Department of Architecture since 2020. Her main research themes are local city revitalisation, the nature of civic centres for collaboration and exchange, the collaborative base nature of city halls, childcare facilities and towns, and the Living Lab's co-creation scheme. Among these, the thesis on citizen collaboration and relationship building for forming citizen collaboration bases using city halls as a stage was awarded the Paper Encouragement Award by the City Planning Institute of Japan. She was also selected as a 2019 official speaker at SXSW, one of the world's largest tech trade fairs and conferences in Texas, USA, for her unique perspective on organising regional development in Japan by utilising the region's DNA. She is currently implementing a research project in collaboration with local authorities such as Iwaki City in Fukushima Prefecture and Shimoda City in Shizuoka Prefecture. Her most significant research interest in analysing the relationship between 'living labs' and the uplift of organisational citizenship behaviour (OCB).

Vincenzo Lomonaco is a 30 years old Assistant Professor at the University of Pisa, Italy and Co-Founding President of ContinualAI, a non-profit research organization and the largest open community on Continual Learning for AI. Currently, He is also a Co-founder and Board Member of AI for People, Director of the ContinualAI Lab and a proud member of the European Lab for Learning and Intelligent Systems (ELLIS). In Pisa, he works within the Pervasive AI Lab and the Computational Intelligence and Machine Learning Group, which is also part of the and the Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE). Previously, he was a Post-Doc @ University of Bologna (with: Davide Maltoni) where he also obtained his PhD in early 2019 with a dissertation titled “Continual Learning with Deep Architectures'' (on a topic he’s been working on for more than 8 years now) which was recognized as one of the top-5 AI dissertation of 2019 by the Italian Association for Artificial Intelligence. For more than 5 years he worked as a teaching assistant for the Machine Learning and Computer Architectures courses in the Department of Computer Science of Engineering (DISI) at UniBo. In the past Vincenzo have been a Visiting Research Scientist at AI Labs in 2020, at Numenta (with: Jeff Hawkins, Subutai Ahmad) in 2019, at ENSTA ParisTech (with: David Filliat) in 2018 and at Purdue University (with: Eugenio Culurciello) in 2017. Even before, he was a Machine Learning Software Engineer @ iDL in-line Devices and a Master Student @ UniBo. His main research interest and passion is about Continual Learning in all its facets. In particular, he loves to study Continual Learning under four main lights: Deep Learning, Distributed Learning and Practical Applications, all within an AI Sustainability developmental framework.

Sara Magliacane is assistant professor in the Informatics Institute at the University of Amsterdam and a Research Scientist at the MIT-IBM Watson AI Lab. She received her PhD at the VU Amsterdam on logics for causal inference under uncertainty in 2017, focusing on learning causal relations jointly from different experimental settings, especially in the case of latent confounders and small samples. She joined the MIT-IBM Watson AI Lab in 2019, where she has been working on methods to design experiments that would allow one to learn causal relations in a sample-efficient and intervention-efficient way. Her current focus is on causality-inspired machine learning, i.e. applications of causal inference to machine learning and especially transfer learning, and formally safe reinforcement learning.

Enza Messina is Full 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.

Alessio Miaschi is a Post Doctoral Researcher at the ItaliaNLP Lab (http://www.italianlp.it/) from the Institute for Computational Linguistics "A. Zampolli" (ILC-CNR, Pisa). He received his Ph.D. in Computer Science from the University of Pisa in 2022 with a thesis focused on the definition of techniques for interpreting and understanding the linguistic knowledge implicitly encoded in recent state-of-the-art Neural Language Models. His current research interest mainly focuses on the development and the analysis of neural network models for language processing, as well as on the definition of NLP tools for educational applications. Since 2020 he has been working as a teaching assistant for the Computational Linguistics courses at the University of Pisa.

Christian Napoli is Associate Professor with the Department of Computer, Control, and Management Engineering "Antonio Ruberti", Sapienza University of Rome, since 2019, where he also collaborates with the department of Physics and the Faculty of Medicine and Psychology, as well as holding the office of Scientific Director of the International School of Advanced and Applied Computing (ISAAC). He received the B.Sc. degree in Physics from the Department of Physics and Astronomy, University of Catania, in 2010, where he also got the M.Sc. degree in Astrophysics in 2012 and the Ph.D. in Computer Science in 2016 at the Department of Mathematics and Computer Science. He has been Research Associate with the Department of Mathematics and Computer Science, University of Catania, from 2018 to 2019, while, previously, Research Fellow and Adjunct Professor with the same department from 2015 to 2018. He has been a Student Research Fellow with the Department of Electrical, Electronics, and Informatics Engineering, University of Catania, from 2009 to 2016, a collaborator of the Astrophysical Observatory of Catania and the National Institute for Nuclear Physics, since 2010. He has been several time Invited Professor at the Silesian University of Technology, Visiting Academic at the New York University, and responsible of many different institutional topics from 2011 until now for Undegraduate, Graduate and PhD students in Computer Science, Computer Engineering and Electronics Engineering. His teaching activity focused on Artificial Intelligence, Neural Networks, Machine Learning, Computing Systems, Computer Architectures, Distributed Systems, and High Performance Computing. He is involved in several international research projects, serves as reviewer and member of the board program committee for major international journals and international conferences. His current research interests include neural networks, artificial intelligence, human-computer interaction and computational neuropsychology.

Dr. Evangelos Niforatos is Assistant Professor of AI-Powered Human Augmentation at TU Delft, and an expert in HCI and applied AI. He received his Ph.D. degree in Ubiquitous Computing and HCI from University of Lugano, Switzerland. At North Inc. (now Google), he was part of the team that designed, developed, and successfully launched “Focals,” the first socially acceptable smart glasses that closely resemble a typical pair of glasses. His research focuses on designing and developing AI systems that augment human perception and cognition. Ultimately, he is interested in utilising technology for extending human abilities beyond the humanly possible. His work has been published in premium ACM and IEEE venues such as CHI, IMWUT, etc. He has been involved in EU (FET Open, H2020, EC), SwissNSF, and Dutch NWO projects, obtaining a total external research funding of >2 Mn euros. He is lab director of the “Design at Scale” Delft AI lab and he is leading the COALA H2020 project at TU Delft for providing AI-powered cognitive assistance to manufacturing operators. Currently, he is supervising 3x PhD students who conduct research on Conversational AI and Machine Vision, and he is the general chair of the IoT 2022 ACM (in-coop) conference.

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.

Prof. Dr. Yukio Ohsawa is Professor of Systems Innovation in the School of Engineering, The University of Tokyo. He received BE, ME, and PhD from the School of Engineering, The University of Tokyo (1995). Then worked for the School of Engineering Science at Osaka University (research associate, 1995-1999), Graduate School of Business Sciences in University of Tsukuba (associate professor, 1999-2005), and moved back to The University of Tokyo. He started researches from non-linear optics, and, via Artificial Intelligence, created a new domain chance discovery meaning to discover events of significant impact on decision making, since the year 2000. About chance discovery he gave keynote talks in conferences such as International Symposium on Knowledge and Systems Sciences, Intl Conf. on Rough Sets and Fuzzy Sets, Joint Conf. on Information Sciences,Knowledge-Based Intelligent Information and Engineering Systems, etc. Chance discovery came to be embodied as innovators' marketplace, a methodology for innovation borrowing principles of the dynamics of markets. Then he, when biking from his job in a business school, invented the basic idea of Data Jackets. Since then, he is introducing the method presented in this book to sciences, educations, and businesses. His original concepts and technologies have been published as books and monographs from global publishers such as Springer Verlag, Taylor & Francis, etc. Some books among them are, "Chance Discovery" (2003 Springer, foreword given by Eric von Hippel), "Innovators' Marketplace: Using Games to Activate and Train Innovators" (2012), "Tools for Activating Markets of Data" (2022), and "Living beyond Data" (2022). He is in the editorial boards of several journals. As a previous program chair of the Annual Conference of The Japanese Society on Artificial Intelligence, he came to be the first to change this conference into an international conference from June 2019. He is currently the program chair of IEEE Bigd Data Conference 2022 and of The 22nd Int'l Conf. on Intelligent Systems Design and Applications.

Nicola Palmarini is the Director of UK's National Innovation Centre for Ageing (NICA) – a world leading organisation supported by an initial investment from UK Government and Newcastle University – to help co-develop and bring to market products and services which enhance and improve all aspects of life for our ageing societies. The Centre aims to bring together cross-competence professionals and researchers, commercialization experts, scientists, innovators and technologists working closely together with the public in a seamless way, exchanging their intelligence and backgrounds. Before, he was research manager at the MIT-IBM Watson AI Lab, a $250 million academic-industry partnership for the responsible advancement of artificial intelligence. Trained in social studies and business communication, he developed a deep expertise in leading heterogeneous teams and connecting dots across disciplines to bridge academic and industrial research with real-world applications to deliver return-on-community and return-on-business with a specific focus on longevity and the coming effects and opportunities of the demographic revolution. He holds a decade of experience in research on supporting older adults’ autonomy and independence, leading a global team to develop Human Activity Recognition techniques dedicated to older adults based on AI applied to IoT data. He is an author, teacher, applied research scientist and his main areas of research are: Loneliness as accelerator of physical and cognitive diseases, Ageism, Aging & economic factors, Aging women and workplace, Ethics and AI. The work of his teams has twice been awarded the Computer Honors Award, at the United Nations for Aging Initiative and received the Disability Matters - Market Place Award. He is the author of five books and member of several boards included the Scientific Advisory Committee at McMaster Institute for Research on Aging (MIRA), GIMI (Global Management Innovation Institute) and the Scientific Board of Political Sciences and International Relations at Università Cattolica del Sacro Cuore of Milan.

Aurora Saibene is a Post Doctoral Research Fellow in Computer Science at the University of Milano-Bicocca, whose research activities are mainly focused on brain computer interfacing and electrophysiological signal processing, analysis and classification. She took her Bachelor's, Master's Degree, and PhD in Computer Science at the University of Milano-Bicocca in 2015, 2018, and 2022 respectively. Her PhD thesis in Computer Science focused on the design of a Flexible Pipeline for Electroencephalographic Signal Processing and Management, wanting to provide a set of suggestions and technical procedures to pre-process, normalize, manage features, and classify a particularly tricky signal like the electroencephalographic one in different contexts. She has especially focused on the field of motor movement and imagery and she is now facing the challenge of employing wearable technologies with a multimodal approach to provide efficient and reliable brain computer interfacing systems.

Associate Professor at the Faculty of Informatics of the Università della Svizzera italiana (USI) in Lugano, Switzerland. She previously held appointments as Assistant Professor at TU Darmstadt and as Associate Professor TU Dresden, Germany, as well as senior researcher at ETH Zurich, Switzerland. She holds a master’s degree (with honors) in telecommunication engineering from the Sapienza University of Rome and a PhD in Computer Science from ETH Zurich. Silvia’s research focus is on mobile and wearable computing and in particular on the design of novel models and systems for modeling human behavior and supporting well-being and productivity at work. Silvia is one of the founding Editors and the current Editor-in-Chief of the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Computing Technologies (PACM IMWUT), the leading journal for research on ubiquitous and wearable computing systems. She is a member of the Steering Committee of the UbiComp conference series and has served on the Technical Program Committees of several leading venues in the fields of mobile computing, ubiquitous and wearable computing, internet of things and cyber-physical systems, including MobiSys, SenSys, IPSN, InfoCom, and more. Silvia is also a member of USI’s University Senate and of USI’s University Council, and an engaged promoter of a more inclusive leadership culture within academia and beyond.

Nathan Shammah is a theoretical physicist working in quantum technology and open-source software and is interested in the interplay between collective effects and dissipative dynamics in many-body quantum systems and in the mitigation of errors in quantum computing. He is the chief technology officer of Unitary Fund, a non-profit organization that performs in-house research in quantum tech and supports open-source software projects. Unitary Fund performs research in quantum computing by developing open-source software projects and platforms. Nathan is also a visiting scientist at the University of Milan, Italy, and at RIKEN, Japan’s national labs. He co-founded the association of Italian researchers in Japan (AIRJ) and is active in technology transfer in the startup space. He holds a PhD in Physics from the University of Southampton, UK.

Fabio Stella serves as Associate Professor at the Department of Informatics, Systems and Communication of the University of Milan-Bicocca. His main research interests are related to Probabilistic Graphical Models, Bayesian networks and causal networks, for finance, health and biology. He published more than 100 papers, and served as Program Chair/Reviewer of several international conferences; AISTATS, ICLR, ICML, IJCAI, PGM, NeurIPS, SIGIR, PAKDD, RecSys, SIGIR and UAI. He has been awarded the 10% best reviewers at NeurIPS 2020 and at AISTATS in 2022. He serves the editorial board of IEEE Intelligent Systems. He currently serves as PI for ROSANNA, i.e., a research project funded by the Italian Association on Cancer Research (AIRC). Furthermore, he serves as PI of two research projects funded by private companies on the topic of dynamic treatment of chronic kidney disease and on causal learning from clinical overlapping databases.

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.