Find Academic Supervisors

Elena Maria Baralis is a Full Professor at the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin. She serves as Pro-Rector, member of the Board of Directors (without voting rights), member of the Academic Senate (without voting rights), and coordinator of the University's Permanent Observatory for Monitoring the Academic Sector. She chairs the Control and Computer Engineering Department and previously chaired the Computer Engineering School from October 2012 to October 2018. Her research interests focus on database systems and data mining, specifically explainable AI, bias detection in data analytics, and machine learning algorithms for big data. Her work spans various application domains including predictive maintenance, Industry 4.0, and healthcare. Recent publications demonstrate her expertise in speech processing, bias mitigation, and innovative neural network architectures like Kolmogorov-Arnold Networks. Her research output shows a clear trend toward addressing fairness and explainability in AI systems while exploring novel approaches to speech and language understanding. Professor Baralis has received significant recognition including becoming a Fellow of the Academy of Sciences of Turin in 2017. She has served as Editor-in-Chief for IEEE Internet of Things Journal (2016-2019) and Knowledge and Information Systems (2014-present). She actively mentors doctoral students including Claudio Savelli (researching Machine Unlearning), Eleonora Poeta, Giuseppe Gallipoli, Alkis Koudounas, and others. Her research is supported by numerous projects including AI4CTI (Artificial Intelligence for Cyber Threat Intelligence, 2025-2028), Smart manufacturing driven by Machine Learning in Industry 4.0 (2019-2020), and I-REACT (2016-2019).

• Data Mining
• Database Systems
• Explainable AI
• +5 more

Francesca Simeoni is Associate Professor of Management at the University of Verona , Department of Business Administration, a position she has held since 2005 after serving as Assistant Professor. She earned her Ph.D. from the University of Naples “Parthenope” in 2003. Her research agenda centres on sustainable management practices , tourism destination governance , SME competitiveness , fair-trade business models , and service quality in public utilities . She leads or participates in nationally funded projects such as “Measuring the economic impact of cultural events: Tocatì – International Festival of Street Games” and “Graphic category in Confartigianato – Verona: profile and needs of services.” Since 2017 she is scientific coordinator of the Altromercato Campus public-engagement event and lecturer in the Kids University workshop “From the idea, passing through the project, to the enterprise.” She teaches extensively across bachelor’s and master’s programmes in tourism, business and languages, delivering courses including Principles of Management and Digital and Interactive Marketing . Francesca serves on multiple scientific committees for professional-development masters and specialisation courses within the university and is a member of the Department Board and the School of Economics and Management Council.

• Management
• Fair trade
• Sustainability
• +5 more

Gian Antonio Susto is an Associate Professor at the Department of Information Engineering , University of Padova . With a Ph.D. in Information Technology and post-doctoral experience at National University of Ireland, Maynooth, he leads research in Machine Learning , Semiconductor Manufacturing , and Industrial IoT . His work bridges Anomaly Detection , Continual Learning , and Algorithmic Fairness with applications in Hydroelectric Power Plants , Particle Accelerators , and Smart Mobility . B.Sc. and M.Sc. in Controls Engineering, University of Padova (cum laude) Ph.D. in Information Technology, University of Padova (2013) Post-Doc at National University of Ireland, Maynooth (2012-2013) Assistant Professor at University of Padova (2013-2021) His research focuses on Explainable AI , Virtual Metrology , and Deep Learning for manufacturing and infrastructure monitoring. Recent projects include the AIMS5.0 (AI for Manufacturing Sustainability) and MICS (Circular Economy in Italy) initiatives. His publications span Engineering Applications of Artificial Intelligence , IEEE Transactions , and Information Processing & Management , with 15+ recent papers on topics like Fault Diagnosis , Continual Learning , and Fair Ranking . Key scientific awards include: IEEE CCTA Best Student Paper Award (2021) IP&M 2020 Ph.D Paper Award Best Industry Paper Award, European Workshop on Advanced Control and Diagnosis (ACD 2019) He has supervised Ph.D. students on projects involving Particle Accelerators , Plant Behavior Modeling , and Explainable AI , with alumni now at institutions like Max Planck Institute , IBM , and Scripps Research . Current teaching includes Reinforcement Learning and Explainable Machine Learning at graduate and Ph.D. levels.

• Machine Learning
• Deep Learning
• Predictive Maintenance
• +6 more

Mirco Musolesi is a Full Professor of Computer Science at both University College London (UCL) and the University of Bologna. He leads the Machine Intelligence Lab at UCL, part of the UCL Centre for Artificial Intelligence. His research focuses on Machine Learning, Generative AI, and computational models of human behavior, with applications in ubiquitous systems and societal impacts of AI. Education: PhD in Computer Science from UCL (2007) and Laurea in Electronic Engineering from the University of Bologna (2002). Previous roles include positions at the University of Birmingham, Dartmouth College, and the Alan Turing Institute. Research spans multi-agent systems, reinforcement learning, and AI ethics. Notable awards include ACM UbiComp 10-Year Impact Award (2020/2024) and the NetExplorateur/UNESCO Top 100 Innovations (2011). His work on EmotionSense and CenceMe applications has been recognized with Test-of-Time awards. Recent publications (2024-2025) address moral alignment in AI agents, multi-agent environmental policy simulations, and creativity in LLMs. His labs explore AI-driven solutions for urban systems and ethical decision-making frameworks.

• Machine Learning
• Generative Artificial Intelligence
• Computational Models of Human Behavior
• +3 more

Summary Tiziano VESCOVI is a Full Professor of Business Economics and Management at the Venice School of Management , Ca' Foscari University of Venice. He holds roles including Co-Director of the International Management to Asia Research Laboratory (IMA Lab), member of the technical-scientific Committee of the Ca' Foscari Challenge School, and scientific director of the Italian School of Booksellers. His teaching focuses on Cross-Cultural Marketing , Brand Management , and International Marketing to China in both English and Italian programs. Education : - Degree in Business Economics (Ca' Foscari, 1981) - ITP Certificate (HEC Paris, 1987). Research Interests : - Cross-cultural aspects in international markets, particularly China. - Digital transformation in marketing strategies. - Luxury brand management and global market entry strategies. - Made-in-Italy products in socio-culturally diverse markets. Recent Projects : - 'The Merchant and the Dragon' (2013-): Strategies for Italian SMEs entering China. - 'Managing Digital Transformation' (2021-): Strategic processes in tech adoption. - PNRR LEGO Project (2024-26): Italy-East Asia education collaboration. Office Hours : - Weekly online sessions (Thursdays 2-4 PM via Zoom). - Physical location: San Giobbe Campus, C1 Building, Room 127. Labs/Initiatives : - IMA Lab: Research on Asia-Pacific market dynamics. - Master in Luxury Client Advisor: Collaboration with LVMH Group.

• International Marketing
• Cross-Cultural Marketing
• Luxury Brand Management
• +3 more

Luca Iocchi is a Full Professor at Sapienza University of Rome, where he teaches in the Master in Artificial Intelligence and Robotics program. He is affiliated with the Department of Computer, Control, and Management Engineering and the Faculty of Engineering of Information, Computer Science and Statistics. Iocchi serves as an Associate Editor for Artificial Intelligence Journal and has been the scientific coordinator of Spoke of PNRR project FAIR (Future AI Research). His educational background includes: Master in Engineering in Computer Science (Laurea in Ingegneria Informatica) cum Laude, Sapienza Università di Roma, 1995 PhD in Engineering in Computer Science (Dottorato in Ingegneria Informatica), Sapienza Università di Roma, 1999 Professor Iocchi's research focuses on cognitive robotics, task planning, multi-robot coordination, robot perception, robot learning, human-robot interaction, and social robotics. His work has significant applications in security, surveillance, and environmental monitoring. He has published over 200 referred papers with an h-index of 46 (Google Scholar). His research bridges theoretical AI with practical robotic systems operating in real-world environments, with a particular emphasis on developing intelligent systems that can interact effectively with humans. His recent publications show a strong trend toward multi-agent reinforcement learning, trust modeling in human-AI teams, UAV coordination, and planning systems. There's a clear focus on making robotic systems more reliable, efficient, and capable of operating in complex real-world scenarios like healthcare facilities and smart cities. His work increasingly integrates formal planning approaches with machine learning techniques. Professor Iocchi has received numerous scientific awards: 1999 Top Paper Award WebNet'99 2006 Best Paper Award RoboCup 2006 2008 Best Robotics Demo Award AAMAS 2008 2014 Best Paper Award For Engineering Contribution RoboCup 2014 2017 RoboCup@Home SSPL 2017 - 3rd place 2018 Canada-Italy Innovation Award 2019 Best Paper Award For Engineering Contribution RoboCup 2019 As an academic advisor, Iocchi has directed the PhD Program in Engineering in Computer Science from 2020 to 2023. He has been Principal Investigator for numerous research projects including SciRoc (European Robotics League), AI4EU (European AI project), BUBBLES, AIPlan4EU, ROSITA, Trust Your Agents, and FAIR. His research has been supported by EU H2020 programs, national grants, and industry collaborations, demonstrating strong connections between academia and practical applications. Professor Iocchi is actively involved with the Cognitive Cooperating Robots Lab (LabRoCoCo) and is a key member of the RoboCup Federation, having served as Vice-President from 2019 to 2024. He has played a significant role in benchmarking domestic service robots through RoboCup@Home and the European Robotics League Service Robots (ERL-SR), which he helped establish. His leadership in organizing international scientific robot competitions has been instrumental in advancing the field of service robotics.

• Cognitive Robotics
• Task Planning
• Multi-Robot Coordination
• +6 more

Lucia Savadori is an Associate Professor in Psychology at the Department of Economics and Management, Università degli Studi di Trento. Her research focuses on risk perception, decision-making processes, behavioral economics, and effective communication strategies for risk-related information. She holds a BA and PhD in Psychology from the University of Padua, with postdoctoral research at Padova and visiting scholarships at institutions like the University of Illinois and Decision Research (USA). Education : B.A. in Psychology (1993), University of Padua PhD in Social and Personality Psychology (1999), University of Padua Research Interests : Risk communication in healthcare, technology, and environmental contexts Behavioral economics and decision-making under uncertainty Cognitive processes in judgment and choice Her work has been supported by grants including the Horizon 2020-funded BuildERS project (2019–2022) and the Italian Ministry of Health’s prenatal diagnostics initiative (2010–2012). She has led over a dozen research projects on topics like workplace safety, disaster preparedness, and consumer trust in food systems. Professional Activities : Head of Training and Communication at the Centro di Scienze della Sicurezza e della Criminalità (2021–present) Scientific Committee member for European research networks (e.g., SAFE, SMARTHEALTH) Editorial reviewer for journals like Risk Analysis and Medical Decision Making Her teaching spans courses on general psychology, behavioral economics, decision-making tools, and organizational psychology.

• Behavioral Economics
• Risk Perception
• Decision Making Processes
• +4 more

Cristina Bettinelli is a full professor in the Department of Management at the University of Bergamo. She serves as Director of the MSc Program in International Management and Marketing (IMM) and Director of the Center for Young and Family Enterprise (CYFE). Her research focuses on family business governance , entrepreneurial firm innovation , and internationalization , with publications in journals like Family Business Review , Entrepreneurship Theory and Practice , and Journal of Family Business Strategy . Member of editorial boards: Family Business Review , Journal of Family Business Strategy Professional activities: Innovative training projects, Marketing Lhab research group (since 2024) Scientific Awards: Best Contribution to Practice Paper (2024) - IFERA Best Unpublished Research Paper Award (2022, 2015) - FFI Multiple Best Paper Awards/Nominations - IFERA, EIASM, ICSB Family Business Review Best Paper Award (2012) Recent Research Trends: Analyzes family firm dynamics, pandemic response behaviors, cross-border e-commerce strategies, and B corporation ethics. Her 2024-2025 publications emphasize organizational identity , crisis management , and strategic governance .

• Family Business Governance
• Entrepreneurial Firm Innovation
• Internationalization
• +2 more

Stéphanie Novak is a Full Professor at the Department of Comparative Linguistic and Cultural Studies, Ca' Foscari University of Venice. Her research focuses on European institutions, transparency, accountability, collective decision-making, and international negotiations. She has published extensively in journals like the Journal of Common Market Studies and Global Policy, and co-edited a volume with Jon Elster on majority decisions. Current Assignments: Member of the Steering Committee of the Ca' Foscari International College; Delegate for Internationalization Research Interests include: EU institutional transparency and accountability Collective decision-making and consensus Intergovernmental relations and crises Legislative process conflict-resolution International negotiation dynamics Democratic compromise in supranational contexts Her 2023-2024 publications analyze transparency dilemmas, consensus fragility, and digital policy interoperability. Earlier works (2005-2020) examine voting norms, institutional hypocrisy, and EU global representation. Scientific Awards: Dalloz-Bibliothèque de thèses prize (doctoral thesis) Editorial Involvement: Associate Editor, Journal of European Policies (since 2017) Editorial Board, La Fabrique du Politique (since 2018) Former Board Member, La Vie des Idées (2009-2021) Grants & Projects: POLiN Project (2023-2025): Interoperability in EU digital health policies Universalism and Right of Man Project (2023-2026): Late Enlightenment political conditions Observatoire des Institutions Européennes (2014-2021): EU institutions and transparency

• European Union Politics
• Transparency and Accountability
• Collective Decision-Making
• +3 more

Francesco Maisano, MD , is Full Professor of Cardiac Surgery at Vita-Salute San Raffaele University (Milan) since 2021, where he also serves as Director of the Cardiac Surgery Clinic and of the Valve Center at IRCCS San Raffaele Hospital. From 2014 to 2020 he held the Chair of Cardiac Surgery and directed the Department at University Hospital Zurich. Education & Training 1990 – MD, Catholic University of Rome 1994 – Clinical Fellowship, University of Alabama at Birmingham 1995 – Specialization in Cardiac Surgery, La Sapienza University of Rome Research Interests Professor Maisano’s work centres on innovative therapies for heart-valve disease, spanning surgical reconstruction, catheter-based interventions (TAVI, MitraClip, transcatheter tricuspid devices), and hybrid approaches. He leads translational programmes in biomedical engineering, multimodality cardiac imaging, and artificial-intelligence-guided interventions, with emphasis on the multidisciplinary “Heart Team” model for complex cardiovascular disease. His recent publications (2024-2025) demonstrate intense activity in transcatheter mitral and tricuspid repair, long-term durability of surgical mitral repair, AI-driven procedural guidance, and renal protection strategies during mechanical circulatory support. A dominant theme is translating imaging innovations and device concepts into first-in-human studies and large-scale registries. Scientific Awards & Recognitions European Society of Cardiology Silver Medal (2018) ICI Lifetime Achievement in Research & Teaching (2018) ICI Best Technology Parade Presentation (2010) C. Walton Lillehei Young Investigator Award (1999) Leadership & Grants He directs multiple postgraduate programmes, including Certificate of Advanced Studies (CAS) tracks at the University of Zurich in multimodality imaging, aortic valve, and mitral–tricuspid interventions. He is principal investigator on investigator-initiated grants, coordinates industry-partnered device trials, and mentors numerous doctoral and post-doctoral researchers. His team has filed >24 patents and spun off several cardiovascular start-ups. Labs & Teams At IRCCS San Raffaele he leads the Valve Science Center , a multidisciplinary hub integrating cardiac surgeons, interventional cardiologists, imaging specialists, biomedical engineers, and data scientists focused on next-generation valve repair/replacement technologies and personalised cardiovascular medicine.

• Cardiac Surgery
• Heart Valve Disease
• Transcatheter Valve Interventions
• +7 more

Seth Frey is an Associate Professor in the Department of Communication at the University of California, Davis, with affiliate status at Indiana University's Ostrom Workshop and as Research Director at Metagov. His research focuses on computational social science approaches to understanding self-governance in complex social systems, particularly through the lens of online communities as model institutions. Education: Ph.D. in Cognitive Science and Informatics (complex systems), Indiana University, 2013 B.A. in Cognitive Science, UC Berkeley, 2004 Research Interests: Frey specializes in computational approaches to institutional analysis and the cognitive science of strategic behavior . His work examines how communities design governance systems to overcome collective action problems, with emphasis on: Emergent institutional structures in digital commons Policy-as-data through NLP and institutional grammar frameworks Cognitive mechanisms underlying cooperative behavior Design principles for participatory change in online platforms His methodology integrates large-scale data analysis, web-based experiments, and computational modeling across diverse contexts including Minecraft, Reddit, and professional sports ecosystems. Publication Trends: Recent publications (2023-2025) demonstrate a cohesive trajectory toward computational institutional analysis, with increasing focus on NLP-driven policy analysis (e.g., NLP4Gov), decentralized governance architectures (DAOs, multi-level platform governance), and the cognitive foundations of collective action. His work consistently bridges theoretical institutional analysis with practical applications in digital community design, showing particular growth in translating Ostrom's design principles into computational frameworks. Awards: Honorable Mention Award for Best Paper at ACM CSCW 2019 Advising and Grants: Frey mentors students interested in data science applications at the intersection of communication, cognition, and complex systems, emphasizing resourcefulness and intellectual curiosity. His research has secured substantial funding from: National Science Foundation (NSF) NASA Ford Foundation Google Open Source Foundation He actively encourages aspiring graduate students with strong self-directed research skills to explore computational approaches to social phenomena. Labs and Teams: He leads the Computational Communication Lab at UC Davis and co-directs the Institutional Grammar Research Initiative. Through Metagov, he develops the 'Governance API' framework for modular community governance. His past affiliations include Disney Research (Walt Disney Imagineering) where he applied complexity science to theme park systems, and the New England Complex Systems Institute (NECSI). Current collaborations span Ethereum governance, Minecraft server ecosystems, and Colorado's cannabis monitoring infrastructure.

• Computational Social Science
• Governance of Commons
• Complex Systems
• +5 more

Matteo Brunelli is Associate Professor of “Mathematical Methods of Economics and Actuarial and Financial Sciences” at the University of Trento , Department of Industrial Engineering, and Adjunct Professor (docent) at Lappeenranta University of Technology , Finland. He is nationally habilitated as Full Professor in Italy and has held long-term visiting positions at Berkeley, Turku, Auckland, JAIST and Binghamton. Education: Ph.D. (Doctor of Science) in Information Technologies, Åbo Akademi University, Finland, 2011 – graded Eximia cum laude approbatur M.Sc. in Economics, University of Trento, 2007 – grade 110/110 cum laude B.Sc. in Economics, University of Trento, 2005 Research focus: Brunelli’s work sits at the intersection of multi-criteria decision analysis , operations research and computational optimisation . He develops axiomatic foundations and algorithms for pairwise comparison matrices , consistency indices , the best-worst method and fuzzy preference relations , and applies them to energy planning, sustainable inventory, maintenance scheduling, 3-D printer selection, and blockchain governance. His 2023-2025 articles reveal intensified interest in uncertainty modelling (Dempster-Shafer theory), bi-objective optimisation of inventory and maintenance, and group decision protocols that integrate probabilistic or active-learning components, demonstrating both methodological depth and practical relevance. Scientific awards & grants: Academy of Finland Postdoctoral Researcher grant (€254 670, 2014-2017) Claudio Dematté Research Grant (€19 000, 2008) Teacher of the Year Award, Aalto University (2013 – both Spring & Autumn semesters) Bernard Roy Award 2021 for outstanding contribution to Multiple Criteria Decision Aiding (under-40 category) Supervision & funding: While specific doctoral students are not listed, Brunelli currently supervises graduate theses at Trento and has continuously held competitive national grants. His Academy of Finland project “Consistency of valued preference relations for decision analytics methods” financed three years of full-time research and international collaboration. Editorial & community roles: He serves on the editorial boards of International Journal of General Systems and Mathematical and Computational Applications , and acts as area editor for Journal of Multi-Criteria Decision Analysis , positioning him among the key gatekeepers of the MCDA community.

• Multi-criteria decision analysis
• Operations research
• Fuzzy sets and fuzzy numbers
• +7 more

Fabio Sabatini is a Full Professor of Political Economy at Sapienza University of Rome and a Research Fellow at the Institute of Labor Economics (IZA). His work focuses on the intersection of communication technologies, social capital, and political behavior. He teaches Political Economy and Economics of Sustainable Development, and actively engages in public discourse through Substack newsletters like The Civic Economist . His research explores how digital media shapes societal values, economic outcomes, and political preferences. Notable themes include the behavioral impacts of social media, the role of social capital in crises, and the geopolitical tensions between the US and EU under Trump's administration. Sabatini critiques policies that undermine academic freedom and democratic institutions, frequently analyzing authoritarian trends in global governance. He maintains an extensive publication record with over 50 papers in peer-reviewed journals, focusing on topics like terrorism radicalization, disaster politics, and digital economy effects. His work bridges theoretical frameworks with empirical analysis, often addressing contemporary policy challenges. Sabatini's academic networks include collaborations with institutions like the European Commission and IZA. His Substack articles and social media activity reflect a commitment to public engagement, translating complex economic concepts for broader audiences while critiquing populist policies and advocating for evidence-based governance.

• Political Economy
• Public Policy
• Social Capital
• +5 more

Antonino Vallesi is a Full Professor in Neuropsychology and Cognitive Neuroscience at the University of Padua. He holds a master's degree in Psychology (University of Padua, 2003) and a PhD in Neuroscience (SISSA, Trieste, 2007). He has held roles as Assistant and Associate Professor at SISSA and the University of Padua before achieving his current rank. His research focuses on executive functions, cognitive aging, and temporal processing, employing neuroimaging, EEG, and experimental psychology methods. He has supervised over 10 PhD students, 13 postdocs, and 65 trainees. Education: PhD in Neuroscience, SISSA, Trieste (2007) Master's in Psychology, University of Padua (2003) Research Interests: The anatomo-functional organization of executive functions, cognitive aging, temporal processing, and neuropsychological methodologies. His work explores these areas through advanced techniques like EEG, neuroimaging, and neuromodulation. Awards: Bertelson Award (2011) Outstanding Young Person Award (2011) SIPF Prize (2017) ERC Starting Grant (2013) Advising & Grants: Supervisor of over 10 PhD students and 13 postdocs. Secured significant funding including an ERC grant. Involved in grant reviewing for EU programs (e.g., Horizon 2020) and international agencies. Labs & Teams: Leads the Executive Function Lab at the University of Padua, focusing on cognitive neuroscience and clinical applications.

• Neuroscience
• Cognitive Psychology
• Neuropsychology
• +3 more

Guido Perboli is a Full Professor in the Department of Management and Production Engineering (DIGEP) at the Polytechnic University of Turin, where he also serves as Logistics Coordinator and Project Coordinator for activities supporting relationships with government bodies. He is a member of the Interdepartmental Center CARS@PoliTO (Center for Automotive Research and Sustainable Mobility) and serves as Director of the ICT for City Logistics and Enterprises (ICElab@Polito) research center, which he founded in 2016. His research interests span a broad range of topics including Operations Research, Logistics, Last-mile Delivery, Sustainable Logistics, Combinatorial Optimization, Stochastic Programming, Business Development, and Lean Business methodologies. His work particularly focuses on City Logistics, Green Logistics, and the application of emerging technologies like Blockchain and AI in supply chain management. He has developed GUEST, a Lean Business methodology for innovation processes from early idea definition to implementation. Professor Perboli's recent publications demonstrate a strong focus on urban logistics, last-mile delivery optimization, blockchain applications in supply chains, and the integration of AI techniques in transportation systems. His work shows an increasing trend toward interdisciplinary research that combines optimization methods with emerging technologies to address sustainable urban mobility challenges. Professional Recognition: CASE Best Paper award from IEEE Conference on Automation Science and Engineering (2011) Effective member of INFORMS (2019-present) Effective member of EURO (1995-present) Effective member of AIRO (1995-present) Associate Editor for Journal of Applied Research and Technology (2020-present) Associate Editor for Sustainability (2018-present) Professor Perboli actively advises PhD students and has supervised numerous research projects, including EU-funded initiatives like SINFONICA, HESTER, and 5G-LOGINNOV. He serves as Scientific Director for multiple commercial research projects focused on blockchain, IoT, and AI applications in logistics. Beyond academia, he is Chief Scientific Officer of Arisk S.p.A., a fintech company specializing in business crisis prediction using AI and machine learning. His research group, ICElab@Polito, focuses on two main areas supporting urban growth: logistics and enterprises. The center collaborates with numerous companies including Amazon, DHL, and FCA, addressing real-world challenges in urban logistics and supply chain management through innovative research approaches.

• Operations Research
• Logistics
• Last-mile Delivery
• +9 more