جست‌وجوی استاد و پژوهشگر

Maurizio Dallocchioمشاهده پروفایل

استاد

• Corporate Finance
• Mergers & Acquisitions
• Corporate Restructuring
• +۳ مورد دیگر

Maurizio Dallocchio is a Full Professor of Corporate Finance at Bocconi University and SDA Bocconi School of Management. He served as Dean of SDA Bocconi (2003–2007) and has held leadership roles in academic and professional institutions, including Chair of the Audit Committee of the European Investment Bank (EIB). His research focuses on corporate valuation, mergers & acquisitions (M&A), and sustainable finance. Dallocchio founded DGPA & Co., a corporate finance consultancy, and advises public and private entities globally. He has taught at leading institutions like London Business School and NYU Stern School of Business. Educational Background: Ph.D. in Business Administration, Bocconi University Advanced studies at London Business School and New York University Stern School of Business Research Interests: Prof. Dallocchio’s work emphasizes corporate restructuring, ESG integration in finance, and strategic valuation methodologies . Recent studies explore environmental performance in emerging markets and the resilience of conglomerates during economic crises. He advocates for sustainable investment strategies that balance financial returns with societal impact. Professional Engagements: Board member roles at Klepierre Management, General Finance, and Podravska Banka Past Director of the Master in Corporate Finance program at SDA Bocconi Labs/Teams: Leads research initiatives at Bocconi’s Corporate Finance and Real Estate Department, collaborating with global institutions on projects involving corporate governance, M&A analytics, and sustainable development.

Dino Pedreschiمشاهده پروفایل

استاد

• Big Data Analytics
• Social Network Analysis and Mining
• Analysis of Human Mobility
• +۱۷ مورد دیگر

Dino Pedreschi is a Full Professor of Computer Science at the University of Pisa, affiliated with the Department of Computer Science (DI-UNIPI). He co-leads the Pisa KDD Lab, a joint research initiative between the University of Pisa and the Italian National Research Council’s Institute of Information Science and Technology, one of the earliest labs focused on data mining and knowledge discovery. His research spans Big Data Analytics , Social Network Analysis , Human Mobility Analysis , Privacy-by-Design , Explainable AI (XAI) , and ethical data mining . He is a pioneer in privacy-preserving data mining and has contributed significantly to understanding societal impacts of AI and big data. Recent publications highlight trends in explainable AI , fairness-aware data mining , urban mobility modeling , and socio-economic nowcasting , reflecting a strong interdisciplinary focus combining computer science, social science, and policy. Notable scientific awards include: Google Research Award on Privacy (2009) University of Pisa Ordine del Cherubino (2017) Pedreschi has played leadership roles in major conferences such as ECML/PKDD (Co-Chair 2004), ICDM (Vice-Chair 2005), and ICDE (Vice-Chair 2014). He founded the Business Informatics MSc program at the University of Pisa to train interdisciplinary data scientists. He has been a visiting scientist at the University of Texas at Austin, CWI Amsterdam, UCLA, and the Barabási Lab at Northeastern University. He actively contributes to European research initiatives including SoBigData++, FAIR, and TAILOR, and has advised on AI policy, including testimony before the Italian Parliament on AI and labor markets. He is a key member of the Pisa KDD Lab, a leading research group in data science and AI ethics, fostering collaboration between academia and public institutions.

Daniele Loiaconoمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Medical Imaging
• +۶ مورد دیگر

Daniele Loiacono is an Associate Professor at Politecnico di Milano's Department of Electronics, Information, and Bioengineering (DEIB), affiliated with the Artificial Intelligence and Robotics Lab (AIRLab). His research focuses on interdisciplinary applications of Artificial Intelligence, Machine Learning, and Deep Learning in medical imaging, radiation therapy, and procedural content generation for games. He leads projects in synthetic image generation for radiotherapy quality assurance, automated treatment planning, and bias analysis in medical AI systems. Key research areas include medical image synthesis using GANs, radiation therapy optimization, and algorithmic game design. His contributions span clinical applications such as total marrow irradiation (TMI) planning and lymph-node segmentation, alongside innovations in shader generation and interactive evolutionary tools for game development. Loiacono collaborates on multi-center studies to validate AI-driven workflows in healthcare and has pioneered methods combining lean Six Sigma with machine learning for treatment process improvement. His work bridges clinical medicine and computer science, addressing challenges in radiation oncology, anatomical imaging, and procedural content automation. The AIRLab serves as a hub for his research, integrating AI advancements into real-world medical and engineering solutions.

Seth Freyمشاهده پروفایل

دانشیار

• Computational Social Science
• Governance of Commons
• Complex Systems
• +۵ مورد دیگر

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.

• Corporate Finance
• Sustainability
• Financial Communication
• +۶ مورد دیگر

Oumaima Lahmar is a researcher in the Department of Business Administration at the University of Bergamo, specializing in corporate finance, sustainability, and financial communication. Her work explores ESG factors, cultural finance, reputational risk in European banking, and AI applications in financial information systems. Ph.D. in Economics and Business Administration, University of Cagliari Master's in International Management, University of Cagliari Bachelor's in Business Administration, Tunis Business School Her research focuses on financial market dynamics, cultural finance, and AI-driven financial transparency. Recent publications analyze ESG reputational risk, gender differences in informal enterprises, and AI-enhanced financial information accessibility across journals like Research in International Business and Finance and International Review of Financial Analysis . Dr. Lahmar serves as Associate Editor for Research in International Business and Finance and the International Journal of Financial Services Management , and participates in the Communication Committee at the University of Bergamo's Department of Management.

• Computer-Assisted Text Analysis
• Epistemic Wars
• Technoscientific Conflicts
• +۷ مورد دیگر

Giuseppe Tipaldo is an Associate Professor at Politecnico di Torino's Department of Control and Computer Science (DAUIN), with affiliations to the SmartData@PoliTO Big Data and Data Science Laboratory and the DBDM Database and Data Mining Group. His interdisciplinary work bridges Sociology, Science and Technology Studies, and Digital Media Research. Research interests focus on epistemic instability, technoscientific conflicts (anti-vax, pseudoscience, infrastructure opposition), and methodological innovations in Computer-Assisted Text Analysis. He explores intersections between postmodern relativism and contemporary epistemic wars, examining truth negotiation in political decision-making and Gen-AI's impact on research methodologies. Recent publications analyze: 2024: Vaccine hesitancy trust dynamics in Europe 2023: Epistemic authority transitions in social media and science-society relations 2022: Xylella fastidiosa epidemics as epistemic wars and pandemic expert discourses He contributes to editorial boards (Italian Review of Sociology, Sinapsi) and serves on advisory panels for Circular Economy symposia. Teaching spans Master's and Doctoral programs in Management Engineering, Cybersecurity, and Communication Sciences.

Guido Perboliمشاهده پروفایل

استاد

• Operations Research
• Logistics
• Last-mile Delivery
• +۹ مورد دیگر

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.

Stefano CAMPOSTRINIمشاهده پروفایل

استاد

• Social Statistics
• Public Health
• Healthcare Systems
• +۶ مورد دیگر

Stefano CAMPOSTRINI is a Full Professor in the Department of Economics at Ca' Foscari University of Venice, specializing in Social Statistics (STAT-03/B). He serves as a Member of the technical-scientific Committee of the Ca' Foscari Challenge School and the Department of Economics' Committee. His research activities are supported by affiliations with the Research Institute for Social Innovation and the Research Institute for Innovation Management. Professor CAMPOSTRINI's research spans the intersection of statistical methodology, public health, and social policy. His work demonstrates expertise in advanced statistical techniques including Bayesian modeling, spatial analysis, and complex survey methodology. His primary focus areas include healthcare systems analysis, social innovation, public administration, and the economic aspects of health policy. He frequently addresses issues related to comorbidity patterns, healthcare service accessibility, and the application of artificial intelligence in healthcare settings. His publication record from 2021-2025 reveals significant trends in healthcare innovation, with particular emphasis on virtual hospital systems, AI applications in medicine, sustainable healthcare practices, and the statistical analysis of social services like early childhood education. His methodological contributions include novel approaches to analyzing regional health disparities and developing web-based tools for disease prevalence estimation. His research often employs expert consensus methods like Delphi techniques to address complex healthcare organizational challenges. Professor CAMPOSTRINI maintains active involvement in research initiatives through the Research Institute for Social Innovation and the Research Institute for Innovation Management. His work bridges advanced statistical methodology with practical applications in healthcare policy and social service delivery, making significant contributions to evidence-based decision making in public health and social policy domains across Italy and European contexts.

• Ecological Economics
• Political Ecology
• Environmental Justice
• +۳ مورد دیگر

Federico Demaria is a Researcher at the Environmental Science and Technology Institute, Universitat Autònoma de Barcelona. He focuses on ecological economics, political ecology, and environmental justice, advocating for socio-ecological transformation beyond economic growth. As a founding member of Research & Degrowth and a board member of the European Society for Ecological Economics, he bridges academic research with activism. His current role includes deputy coordination of the ERC-funded EnvJustice project, studying global environmental justice movements. Research emphasizes waste management conflicts, informal recyclers' roles, and degrowth alternatives. Key publications include Decrecimiento: Vocabulario para una nueva era and Pluriverse: A Post-Development Dictionary , translated into multiple languages. Research interests coalesce around dismantling growth-based paradigms, centering marginalized groups in environmental struggles, and redefining sustainability beyond capitalist modernity. His work critiques extractive systems while proposing pluriversal alternatives grounded in indigenous and communal knowledge. Key Projects: EnvJustice (ERC), Degrowth initiative Key Themes: Waste politics, environmental conflicts, post-development, degrowth economics

Caterina Crucianiمشاهده پروفایل

دانشیار

• Financial Economics
• Behavioral Finance
• Trust in Financial Advisory
• +۷ مورد دیگر

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.

• Machine Learning
• Data Mining
• Bioinformatics
• +۱۱ مورد دیگر

Andrea Passerini is a Full Professor in the Department of Information Engineering and Computer Science at the University of Trento, Italy, where he also serves as Coordinator of the PhD programme in Information Engineering and Computer Science (Ministerial Decree 45/2013). His academic footprint spans multiple departments including Mathematics, Sociology, Cellular Biology, and Industrial Engineering, reflecting deep interdisciplinary engagement across computational sciences and life sciences. His research centers on Machine Learning and Data Mining with specialized expertise in Neuro-Symbolic AI , Probabilistic Reasoning , and Statistical Relational Learning . He pioneers methods for graph-based learning, medical AI applications, and explainable systems, with significant contributions to bioinformatics (particularly RNA-protein interactions) and healthcare diagnostics. His work bridges theoretical rigor with practical implementations in critical domains. Analysis of his 2025 publications reveals dominant trends in neuro-symbolic integration for graph data, human-AI collaboration in medical decision-making, and robust recommender systems. His research increasingly focuses on interpretable AI for high-stakes applications like surgical planning and physician support, while advancing foundational techniques in graph neural networks and concept-based modeling. As PhD programme Coordinator, Professor Passerini mentors doctoral candidates across AI and computer science disciplines. His collaborative network extends to medical researchers at CIBIO (Cellular, Computational and Integrative Biology department) and industrial partners, though specific lab structures aren't documented in available materials. Current projects emphasize medical AI validation, temporal network modeling, and LLM integration with structured reasoning frameworks.

• Behavioural Economics
• Experimental Economics
• Health Economics
• +۳ مورد دیگر

Francesca Marazzi is an Assistant Professor at the University of Rome Tor Vergata's Department of Economics and Finance. She holds affiliations with the CESifo Research Network (as an affiliate), the CESIEG research centre at LUISS Guido Carli University (Deputy Director), and the DEMA P research cluster at Middlesex University, London. Her research focuses on behavioral and experimental economics, particularly exploring dishonest behavior, responsibility avoidance, and health economics issues like women's health and obesity interventions. She teaches courses such as 'Coding for Economic Applications' and 'Research Methods for Social Sciences' at both bachelor's and master's levels. Her work bridges theoretical models with empirical experimentation, addressing topics like corruption, public goods provision, and policy design. Notable contributions include studies on transparency's impact on bribery, pandemic-related behavioral changes, and the effects of soft drink taxation on adolescent health. She actively participates in interdisciplinary projects, such as the CREA initiative integrating AI and mathematics for fairness assertions, and the LongITools exposome analysis in chronic disease research. Marazzi's academic output emphasizes experimental methodologies, with recent focus on pandemic-driven behavioral shifts, financial stability mechanisms, and innovative governance metrics leveraging earth observation data post-wildfires. Her research portfolio reflects a commitment to applied microeconomic analysis with direct societal relevance.

Matteo Plonerمشاهده پروفایل

استاد

• Behavioral Economics
• Behavioral Finance
• Experimental Economics
• +۳ مورد دیگر

Matteo Ploner is a Full Professor at the Department of Economics and Management , University of Trento, and Deputy Coordinator of the Doctoral Programme in Economics and Management under the Doctoral School of Social Sciences. He also serves as Deputy Manager of the Cognitive and Experimental Economics Laboratory (CEEL) at the University of Trento. Academic Roles: Full Professor, Deputy Coordinator (Doctoral School), Deputy Manager (CEEL) Location: Via Inama, 5 - 38122 Trento Contact: matteo.ploner@unitn.it Research Interests: His work focuses on Behavioral Economics , Behavioral Finance , and Experimental Economics , examining human decision-making in economic environments. His research spans topics like cooperation in multicultural societies, information avoidance in climate decisions, algorithmic delegation, and welfare dynamics in advisory markets. Recent Publications highlight experimental analyses of skewness-seeking in finance, cognitive barriers to energy efficiency, and behavioral interventions in low-income contexts. He also explores mental accounting principles and the interplay between trust and innovation through experimental frameworks. Labs & Teams: He is actively involved in the Cognitive and Experimental Economics Laboratory (CEEL) , contributing to experimental market analysis and behavioral research.

Giuseppe Cavaliereمشاهده پروفایل

استاد

• Time Series Econometrics
• Financial Econometrics
• Statistical Inference
• +۳ مورد دیگر

Giuseppe Cavaliere is a Full Professor of Econometrics at the University of Bologna (since 2006) and a Distinguished Research Professor at Exeter Business School. He holds affiliations with the University of Copenhagen and Aarhus University. His research focuses on time series econometrics, financial econometrics, statistical inference, and empirical macroeconomics. He serves as co-editor of the Journal of Econometrics and associate editor of the Journal of Time Series Analysis. Key roles include being an Elected Fellow of the International Association for Applied Econometrics (IAAE), Fellow of the Journal of Econometrics, and Research Fellow of the Granger Centre for Time Series Econometrics. He previously served as President of the Italian Econometric Association (SIdE). His publications appear in top journals like Econometrica, Annals of Statistics, and Journal of Econometrics. Current research emphasizes bootstrap inference, cointegration, and volatility modeling in nonstationary environments. His work addresses challenges in econometric theory, financial data analysis, and macroeconomic policy evaluation. Awards and recognitions highlight his contributions to econometric methodology and its applications in finance and macroeconomics. His advisory and editorial roles reflect his influence in shaping the field's theoretical and practical advancements.

Antonella Bassoمشاهده پروفایل

استاد

• Financial Mathematics
• Quantitative Finance
• Computational Finance
• +۸ مورد دیگر

Antonella Basso serves as a Full Professor in the Department of Economics at Ca' Foscari University of Venice, specializing in mathematical methods of economics and actuarial and financial sciences (STAT-04/A). She is affiliated with the Research Institute for Complexity and maintains her office in the San Giobbe building where she holds regular office hours on Tuesdays from 2:00 pm to 5:00 pm CET. Professor Basso's research expertise spans multiple domains of quantitative finance and economics, with particular emphasis on Financial Mathematics , Quantitative and Computational Finance , and Ethical Finance including ESG investments and green finance. She has pioneered the application of Data Envelopment Analysis (DEA) across diverse contexts from mutual funds and pension funds to museum evaluation. Her work increasingly explores the integration of Artificial Intelligence and Machine Learning techniques for economic applications, alongside traditional risk assessment methodologies. She also maintains significant research interests in art as a financial asset and alternative investment class. Her recent publications (2019-2025) reveal a consistent research trajectory with growing emphasis on sustainable finance, alternative investments including art, and performance measurement in cultural institutions. Her work demonstrates sophisticated methodological approaches to portfolio optimization with volume-based liquidity constraints, ethical fund evaluation using metafrontier approaches, and innovative integration of DEA with Balanced Scorecard and AHP methodologies for comprehensive performance assessment. As an educator, Professor Basso actively supervises undergraduate and master's theses on topics spanning financial mathematics, computational finance, insurance, and ethical finance applications. She requires preliminary discussions with students to ensure appropriate thesis topic alignment with research objectives and methodological capabilities. Through her affiliation with the Research Institute for Complexity, she contributes to interdisciplinary research examining complex economic and financial systems through quantitative lenses, bridging theoretical mathematical approaches with practical financial applications across multiple sectors.