Paolo Landoni is a Full Professor at the Department of Management and Production Engineering (DIGEP) within the College of Management and Production Engineering at Politecnico di Torino. His research focuses on entrepreneurship, business model innovation, business incubators/accelerators, sustainability, and social impact startups. He serves as Scientific Director/Responsible for numerous EU-funded and commercial research projects including SEED2SCALE, ESSENTIAL, and Open Sustainable Innovation. Key research areas: Entrepreneurship, Business Model Innovation, Incubators, Sustainability Supervises PhD students in topics spanning sustainable procurement, social startups, and innovation ecosystems Recipient of EU Horizon 2020 and MSCA funding Active in teaching courses on Entrepreneurship since 2019/20 His recent publications analyze sustainable public procurement, financial sustainability in microfinance, blockchain for social good, and incubator effectiveness. He collaborates with institutions like the LINKS Foundation and consults for corporate innovation projects.
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.
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.
Giuseppe Santucci is an Associate Professor at the Department of Computer, Control and Management Engineering Antonio Ruberti at Sapienza University of Rome. He teaches courses on Fundamentals of Computer Science, Software Engineering, and Visual Analytics. His office is located in Room B218 at Via Ariosto 25, Rome, and his contact email is santucci@diag.uniroma1.it. Dr. Santucci's research focuses on Visual Analytics, Information Visualization, Human-Computer Interaction, and Information Retrieval. His work spans theoretical aspects of visual query languages for semantic models to practical applications in visual analytics for cybersecurity, cryptocurrencies, and deep learning explainability. He has published over 130 articles in international journals and conferences, demonstrating his significant contributions to these fields. His recent publications show a strong trend toward applying visual analytics to increasingly complex domains including cybersecurity, cryptocurrencies, and explainable AI. The work demonstrates an evolution from theoretical foundations of visual query systems to practical applications that help users understand complex data and systems. His research bridges the gap between theoretical computer science and practical user-centered solutions. Dr. Santucci has received notable recognition including: IEEE VizSec 2018 Best Paper Award Human-Computer Interaction Cybersecurity Awards 2018 He actively mentors students through thesis projects focused on information visualization and visual analytics. His PROMISE project provides a framework for students to engage in cutting-edge research in information retrieval and visual analytics. He has supervised work on topics including visual evaluation techniques, visual mappings optimization, and user studies for Infovis systems. Dr. Santucci leads the A.WA.RE (Advanced Visualization & Visual Analytics REsearch) group at Sapienza University. This group conducts research on visual analytics tools for information retrieval evaluation, cybersecurity analysis, and deep learning explainability. Their work includes developing frameworks like CryptoComparator for cryptocurrency analysis and BUCEPHALUS for cybersecurity platform analysis.
Michael Haller is a Full Professor at the Faculty of Engineering, Free University of Bozen-Bolzano, Italy, where he serves as founder and director of the Media Interaction Lab. Based at NOI Techpark, his work focuses on next-generation human-computer interfaces, leading a team of over 10 researchers and students in developing innovative interaction technologies for automotive and wearable applications. He earned his Dipl.-Ing. (1997), Dr. techn. (2001), and Habilitation (2007) degrees from Johannes Kepler University of Linz, Austria. Haller's research centers on Human-Computer Interaction with specialized expertise in Smart Textile Interfaces, Physical Prototyping, and Ubiquitous Computing. His lab pioneers user-centered design of next-generation interfaces through industry collaborations with BMW, KTM, SEFAR, and Tratter Engineering. Current work emphasizes sustainable materials for flexible sensors, touchless interaction, and reducing plastic components in automotive interfaces while maintaining ergonomic functionality. His 15 most recent publications (2023-2025) demonstrate a clear trajectory toward sustainable sensor technologies, particularly biodegradable substrates (wood, animal-based, stone, gelatin) for temperature and pressure sensing. These works bridge materials science with HCI, targeting automotive interfaces, health monitoring, and eco-fashion through textile-based solutions that prioritize environmental sustainability without sacrificing performance. His scientific accolades include: Erwin Schrödinger Fellowship Award Google Research Award Europrix Top Talent Award Best ACM SIGGRAPH Emerging Technologies Award Microsoft Imagine Cup 7 Best Paper and Honorable Mention Awards at ACM CHI and ACM UIST Haller directs major research projects including SmartCover (2024-2026) for developing smart laminated dashboards that replace plastic components with gesture-based textile interfaces, and iPlayground (2024-2026) establishing an industrial-scale smart textile lab. He mentors researchers in prototyping and empirical evaluation, with industry grants supporting the development of washable touchless fabrics and next-generation vehicle interfaces. His work bridges academic research and commercial product development through direct industry partnerships. The Media Interaction Lab operates from NOI Techpark with industrial knitting/sewing machines, confocal microscopes for surface analysis, and a collaborative Idea Space for rapid prototyping. Current infrastructure enables development of warp-knitted smart textiles for automotive consoles and sustainable fashion applications, focusing on reducing plastic waste while creating intuitive touchless interaction experiences through magnetoresistive and inductive sensing technologies.
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.
Iacopo Senatori is an Associate Professor at the Department of Economics "Marco Biagi" of the University of Modena and Reggio Emilia, specializing in Labor Law and its intersection with digitalization and organizational models. He teaches courses such as Advanced Labor Law and Human Resources Law and Organizational Models , focusing on topics like worker participation, anti-discrimination policies, and the legal implications of digital transformation in workplaces. His research spans employment law, collective bargaining, and sustainability in labor systems. University: University of Modena and Reggio Emilia Department: Department of Economics "Marco Biagi" Academic Rank: Associate Professor Email: iacopo.senatori@unimore.it Senatori’s research interests include Labor Law , Digital Transformation of Work , and EU Labor Policy . He has explored the legal frameworks for remote work, platform employment, and the impact of AI legislation on worker rights, with a particular emphasis on collective bargaining and participation. His recent publications analyze the European Green Deal ’s impact on labor quality, the AI Act in digital labor regulation, and strategies for sustainable post-pandemic transitions in labor markets. He has also contributed to debates on occupational welfare and flexicurity models through social dialogue. Senatori employs a blended teaching methodology , combining lectures with interactive case studies and digital platforms. His courses emphasize practical application, critical analysis, and the systematic connection of legal norms with real-world labor challenges. Office hours are held weekly, primarily online, for student consultations.
Caterina Cruciani is an Associate Professor at the Department of Management , Venice School of Management , Ca' Foscari University of Venice. She serves as a member of the University Scientific Instrumentation Service Center (CSA) Management Committee and is affiliated with the Research Institute for Social Innovation . Research Interests Trust dynamics in financial advisory Behavioral finance and investor decision-making Sustainability disclosure and ESG integration Digital transformation in financial services Regional economic development and SME financing Agent-based modeling of cooperative behavior Key Article Trends (2009-2024): Span 15 years of research on financial trust (12 publications), behavioral economics (10), sustainability (6), and digital finance (5). Methodologically combines experimental economics , structural equation modeling , and Supervised Topic Modeling for ESG discourse analysis.
Gabriella Casalino is an Assistant Professor at the University of Bari Aldo Moro, Department of Computer Science, and a key researcher at CILAB - Computational Intelligence Lab. Her work focuses on Computational Intelligence methods for interpretable data analysis, particularly in eHealth, Data Stream Mining, and eXplainable Artificial Intelligence (XAI) within medical and educational domains. She has contributed to innovative approaches in smartphone-based health monitoring, fuzzy logic applications, and remote vital sign detection via photoplethysmography. Education : Ph.D. in Computer Science, with advanced training at institutions like Universitat de Girona and Université de Mons. Research Trends : Recent publications highlight applications of evolving granular computing, neuro-fuzzy systems, and explainable AI in hypertension prediction, bipolar disorder monitoring, and educational data analysis. Key subfields include remote health monitoring, medical data streams, and hybrid AI models. Grants : Research funded by AIRC (Italian Cancer Research Foundation), focusing on computational methods for healthcare challenges. Labs & Collaborations : Active in CILAB, collaborating on projects involving mHealth solutions, cardiovascular risk assessment, and intelligent educational systems.
Barbara Bigliardi is an Associate Professor at the Department of Engineering and Architecture, University of Parma, with national scientific qualification for full professor in Economic-Management Engineering (SSD ING-IND/35). She serves as President of the Management Engineering Program at University of Parma and Director of Bachelor's/Master's programs at University of San Marino, co-leading double-degree initiatives between the two institutions. Over 100 publications (57 SCOPUS-indexed) with H-index=20 Editorial roles: Cambridge Scholars Publishing (2019), MDPI Sustainability, Sci, European Journal of Innovation Management Key research areas: Open Innovation, Technology Transfer, Food Industry Innovation, Industry 4.0, Supply Chain Sustainability Recent Publications (2024-2025) demonstrate leadership in: Industry 4.0 integration with circular economy AI applications in public administration and healthcare Digitalization of food supply chains Green startup resource orchestration Simulation-based optimization in remanufacturing Sustainable additive manufacturing Scientific Recognition : 2005 Emerald Highly Commended Award 2013 Most Cited Paper in Trends in Food Science & Technology 2019 Highly Cited Paper in Review of Policy Research Research Leadership includes: National Observatory on Start-ups (President since 2021) National Observatory on Reputation (Vice President since 2019) INAIL-funded mobile risk assessment systems (2018-2020) INAF space technology transfer projects (2018-present) Academic Contributions : Supervised over 300 theses Deputy Coordinator of Industrial Engineering Doctoral Program Director of Management Engineering Programs (Parma & San Marino) Founder of academic spin-offs: Sistemi per il marketing di contenuto S.r.l. (2016-present), Univenture SrL (2006-2010)
Prof. Rocco OLIVETO is a Full Professor at the University of Molise, affiliated with the School of Biosciences and Territory. His research spans software engineering, artificial intelligence, cybersecurity, and healthcare technology. He focuses on empirical studies of developer practices, AI-driven code analysis, vulnerability detection in smart contracts, and human-centric computing. His work also addresses challenges in game development, mobile app optimization, and wearable health monitoring systems. Notable research areas include code readability assessment, machine learning applications in healthcare diagnostics, and the effectiveness of AI tools like GitHub Copilot. He has contributed to projects like QualAI (continuous quality improvement for AI systems) and 2Vita-B (cognitive and physical rehabilitation systems). His empirical studies often bridge academic research with real-world developer workflows, emphasizing practical applicability. Prof. Oliveto's recent work explores topics such as automated gameplay analysis for game debugging, detection of engagement issues in video games, and robust methods for identifying security vulnerabilities. He has also investigated Dockerfile quality, developer frustration metrics, and the ethical implications of AI in administrative document simplification.
Alexander Kocian is an Assistant Professor at the Department of Computer Science, University of Pisa. He holds a Ph.D. in Electrical and Electronic Engineering from Aalborg University (Denmark) and a Master's in Electrical Engineering from TU Vienna (Austria). His research focuses on Machine Learning, IoT, Agro Informatics, Health Informatics, and Real-time embedded systems. He has led major projects like AGRITECH (€40M funded by PNRR) and FuorisuoloSmart, advancing smart agriculture and healthcare technologies. Dr. Kocian serves as IEEE Senior Member (since 2024) and EAI Fellow (since 2022). He is Associate Editor of IEEE Access (2025–present), and Editorial Board member of Stats (2019–present) and Signals (2020–present). He has organized conferences like the EAI Int. Conf. on Intelligent Transport Systems (INTSYS) as General Chair (2024) and Steering Committee Member (2023). His work includes 50+ peer-reviewed publications, 4 patents, and contributions to telemedicine platforms like TESHEALTH (ESA-funded). Key projects span precision farming, IoT-based greenhouses, and AI-driven healthcare solutions. Current efforts emphasize data spaces for agritech and health informatics interoperability.
Andrea Appolloni is an Associate Professor at the Department of Management and Law, University of Rome Tor Vergata. His academic career focuses on Management with emphasis on Sustainable Supply Chain Management , Digital Transformation , and Circular Economy . His research explores the intersection of technological innovation and sustainability, particularly through topics like AI in Logistics , Green Procurement , and Policy Optimization . Publications span both theoretical frameworks and empirical studies in China, Italy, and Malaysia, with a strong focus on environmental impact and organizational performance. Recent work includes digital twin applications for human-AI collaboration, blockchain integration in sustainable supply chains, and analyzing barriers to circular economy adoption. His 15 most recent articles (2025-2022) demonstrate a trend toward combining Artificial Intelligence , Operations Management , and Environmental Governance .
Prof. MARIA ROSARIA MARCONE is a Full Professor at the Department of Management, Polytechnic University of Marche. Her research focuses on Business Economics and Management, with emphasis on supply chain resilience, innovation management, sustainability, and digital transformation in manufacturing and agritech sectors. She explores topics such as knowledge management, international SME strategies, and the role of technology in reshaping industry dynamics. Her work frequently addresses global challenges like green transformation and digital platforms' impact on creativity. Contact: mrmarcone@univpm.it or m.r.marcone@univpm.it . Research Interests: Supply Chain Management & Resilience Sustainable Business Models Innovation Ecosystems Knowledge Transfer Mechanisms Agritech & Manufacturing Digitization SME Internationalization Strategies Recent Trends in Publications: Recent work highlights the interplay between digital technologies and sustainability, with studies on green transformation in China's real estate, innovative supply chain ecosystems, and the role of third-party actors in business relationships. She also investigates how digital platforms enhance remote worker creativity through knowledge sharing. Labs/Teams: Active in interdisciplinary research groups focusing on supply chain innovation and sustainability, leveraging her university's strategic location in Marche's manufacturing districts.
Edoardo Vinchesi is a Contract Lecturer at Ca' Foscari University of Venice, jointly affiliated with the Venice School of Management and the Department of Economics. He teaches courses in Data Protection Regulations and serves as a Teaching Assistant in law and economics. Additionally, he holds executive roles in public administration, including positions at Italy's National Social Security Institute (INPS). Education: PhD in Law, Market and Person (Ca' Foscari University) Master's degrees in Law (University of Padua), Economics (G. Marconi University), Political Science (Mercatorum University), and Public Economics (Sapienza University) Research Interests: His work spans civil law, digital identity, data protection, taxation (especially cryptocurrency impacts), property law, and public finance. He frequently examines intersections between technology and legal frameworks, such as digital identity management and blockchain regulation. Publication Trends: Vinchesi's articles focus on Italian civil law, with recurring themes in property rights, contractual obligations, and digital jurisprudence. Recent works analyze residential leases, co-ownership structures, and trust law, reflecting expertise in traditional civil law and emerging digital-legal challenges. Awards & Honors: Executive Scholarship for Public Managers (INPS-Sna, 2021) Young Excellences Degree Award (CentroMarca Banca, 2017) Gruppo Iccrea–Centro Marca Banca Study Award (2022) Professional Activities: He serves on academic examination boards, lectures at the Venice Bar Association's Forensic School, and participates in international conferences on law and technology. No formal PhD advising is documented, but he mentors students through teaching assistant roles.
