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Felix PoegeView profile

Assistant Professor

• Innovation Strategy
• Strategic Management
• Economics of Innovation
• +3 more

Felix Poege is an Assistant Professor at Bocconi University’s Department of Management and Technology. Prior to this role, he held positions as a Postdoctoral Associate at Boston University’s Technology & Policy Research Initiative and a junior research fellow at the Max Planck Institute for Innovation and Competition in Munich, Germany. His office is located at 4-E1-11 on Via Guglielmo Röntgen, 1, 20136 Milano. His research focuses on the innovation strategy of firms under competition, integrating perspectives from strategic management, economics of innovation, industrial organization, and human capital dynamics. A central theme in his work involves analyzing how institutional changes (e.g., firm breakups) influence industry competition and innovation outcomes. His methodologies often bridge theoretical frameworks with empirical analysis, including the use of computational tools for policy evaluation. Poege’s publications demonstrate interdisciplinary engagement, combining strategic insights with quantitative rigor. His 2019 study in Science Advances explores the interplay between scientific quality and invention value, while his 2017 collaboration in The Stata Journal provides methodological advancements for poverty measurement. Additionally, he has forthcoming work examining knowledge acquisition at scientific conferences and the effects of profit taxation on R&D investments. No scientific awards were explicitly mentioned in the provided text. Poege teaches courses such as Business Economics - Module II (Analytic Methods) and Data-Driven Analysis and Decision-Making in Business , reflecting his expertise in applying quantitative tools to managerial challenges. His academic trajectory includes affiliations with prestigious institutions, though no grants or current advisees are listed in the available information. Poege’s research collaborations span multiple institutions, including the Max Planck Institute and Boston University’s Technology & Policy initiative, highlighting his engagement in interdisciplinary networks.

Luigi ProserpioView profile

Associate Professor

• Technological start-ups
• Hypergrowth (Scale-ups)
• Digital Business Transformation
• +3 more

Luigi Proserpio serves as Associate Professor of Management and Technology at Bocconi University, where he founded BETA (Bocconi Education and Teaching Alliance), the university's dedicated lab for teaching and learning methodologies. He previously held significant leadership roles including Delegate Rector for teaching and learning innovation until 2016 and director of the SDA learning lab. His academic credentials include a PhD in Management from Università Bocconi and a visiting scholar position at Carnegie Mellon University. Proserpio's research spans technological start-ups, hypergrowth (scale-ups), digital business transformation, technology-mediated communication, people management, and organizational design , with particular emphasis on how digital tools reshape organizational behavior and educational practices. His publication record in premier journals like Research Policy and Academy of Management Learning & Education reveals consistent focus on teamwork dynamics in dispersed environments, improvisation in innovation processes, and technology's impact on learning. A recurring theme examines how geographical dispersion affects team cohesion, performance, and knowledge transfer across virtual settings. As an educational innovator, Proserpio develops technology-based learning methodologies, simulations, and business games. He contributes to academic discourse through editorial board memberships at the Academy of Management Learning & Education , Journal of Management Education , and Journal of Management Inquiry , while teaching master-level courses including Digital Business Transformation, Building and Scaling Tech-Based Startups, and The Challenges of Hypergrowth.

• Theoretical Computer Science
• Distributed Systems
• Reversible Computation
• +1 more

Claudio Antares Mezzina is an Associate Professor in the Department of Pure and Applied Sciences at the University of Urbino Carlo Bo, specializing in theoretical computer science with research focus areas in reversible computation, distributed systems, and formal methods. Research Focus: His work centers on developing formal models for concurrent and distributed systems, particularly exploring reversible computational frameworks, Petri net applications in biochemical systems, and operational semantics for process algebras. Teaching: Mezzina teaches advanced courses including Distributed Applications and Cloud Computing, Software Engineering and Architecture, and Distributed Systems, with materials often available in both Italian and English.

Sergio MIRANDAView profile

Researcher

• Educational Technology
• Pedagogy
• Project-Based Learning
• +3 more

Sergio MIRANDA is a Researcher at the University of Salerno's Department of Human, Philosophical and Educational Sciences (DISUFF). His work focuses on educational technology, pedagogical methodologies, and teacher training. He actively contributes to projects addressing multilingual e-learning, AI integration in education, and project-based learning. MIRANDA holds an ORCID ID (0000-0002-8554-0123) and is affiliated with ResearchGate. His research explores topics like school dropout prevention, spatial skills development, and mental wellness in mining industries through international collaborations. His educational background and professional activities are reflected in roles such as curriculum development for teacher training programs and participation in EU initiatives like Erasmus+. MIRANDA's recent work emphasizes digital tools for learning, including Moodle-based decision support systems for school governance. His publications span 2018–2025, addressing themes from AI-driven learning assessment to evidence-based teaching practices in primary education. Research Interests: Educational Technology, Project-Based Learning, Teacher Professional Development Key Projects: AI chatbots for university support, virtual speakers for multilingual education International Collaboration: Erasmus+ agreements for study and teaching

Carlo BerzuiniView profile

Research Professor

• Biostatistics
• Causal Inference
• Bayesian Modeling
• +3 more

Carlo Berzuini is a Research Professor in Biostatistics at the University of Manchester, UK, since 2011. Prior to this, he held a Professorship at the University of Pavia (1983–2008) and was part of the Cambridge Faculty of Mathematical Sciences (2008–2011). He co-organized a landmark international conference on Causal Inference and co-edited a seminal book on Statistical Causality (Wiley). His research spans interdisciplinary applications in top-tier journals like Nature Genetics and Biometrika , focusing on causal inference, Bayesian modeling, and genetic epidemiology. Research Interests: Berzuini’s work bridges theoretical statistics and applied biomedical research, with a focus on Mendelian randomization, causal inference, and computational methods. He has contributed to statistical methodologies for handling confounding in observational studies and developed software tools in R/Stan. Grants & Collaborations: He led European research projects, served on the Royal Statistical Society Council, and collaborated with prominent statisticians like D. Cox and A.P. Dawid. His Bayesian approach to Mendelian randomization, published in Biostatistics , addresses pleiotropy in genetic studies. Teaching: Taught advanced courses on biostatistics, Bayesian modeling, and causal inference at institutions including Cambridge, Manchester, and Pavia. His instruction targets statisticians, medical researchers, and computer scientists. Software: Authored R/Stan packages for Mendelian randomization analysis. Actively reviews for journals via Publons and evaluates grants for the MRC and NIHR.

Enrico RaveraView profile

Associate Professor

• Solid-state NMR
• Paramagnetic NMR
• EPR Spectroscopy
• +3 more

Enrico Ravera is an Associate Professor in the Department of Chemistry at the University of Florence, affiliated with the Magnetic Resonance Center. He holds a B.Sc., M.Sc., and Ph.D. in Chemistry from the University of Florence (2008–2013), followed by postdoctoral fellowships at CERM and a FIRC Fellowship at CIRMMP. His research focuses on NMR spectroscopy (solution/solid-state), paramagnetic systems, EPR, and biomaterial characterization. Key achievements include developing novel NMR methodologies for protein-material interactions and co-authoring influential textbooks like NMR of Paramagnetic Molecules . Education: B.Sc. Chemistry, University of Florence (2008) M.Sc. Chemistry of Biological Molecules, cum laude (2009) Ph.D. in Chemistry (2013) Research interests span solid-state NMR, paramagnetic systems, EPR, and bioinspired materials. Notable contributions include engineering enzymes for bioinspired silica formation and studying protein dynamics via paramagnetic tagging. Awards include the 2020 Premio Raffaello Nasini, GIDRM Under 35 Award, and UNESCO/IUPAC Green Chemistry Prize. His work bridges chemistry, biology, and materials science, with applications in drug design and medical imaging. Grants and collaborations include projects on protein-drug conjugates, NMR-based drug development, and biotherapeutic characterization. He leads efforts in developing interdisciplinary approaches for structural biology. Labs/Teams: Active in the Magnetic Resonance Center (CERM) and collaborates with CIRMMP. Research integrates NMR with computational methods and biophysical techniques.

• Software Engineering
• Systems Engineering
• Information Technology
• +4 more

Hector Miguel Zelada Valdivieso is a Systems Engineer and academic leader at the Universidad Católica Santo Toribio de Mogrovejo (USAT) in Peru, where he serves as Dean of the Faculty of Engineering, Academic Coordinator of the Master's program in Systems Engineering and Computing with a mention in Strategic Management of Information Technology, and as a university professor and thesis advisor. He is currently pursuing a Doctoral degree in Industrial and Information Engineering at the University of Trieste (UNITS) in Italy. Education: Systems Engineering (UNPRG), Master's in Business Administration (USAT), Doctoral candidate (UNITS) His research and professional focus spans software development project leadership, structured analysis and design methodologies, object-oriented modeling, and database systems (SQL Server, MySQL). He has extensive experience in both academic administration and technical roles such as Software Developer, Systems Analyst, and Database Administrator. Specializing in strategic information technology management, his work integrates advanced software engineering practices with business administration frameworks to enhance educational and professional outcomes in engineering disciplines.

• Network Science
• Graphical Models
• Causality
• +3 more

Veronica Vinciotti is an Associate Professor in the Department of Mathematics at the University of Trento. She holds a PhD in Statistics from Imperial College London (2002) and a First Degree in Mathematics from the University of Perugia (1999). Her academic career includes roles at Brunel University London as Lecturer (2007-2012), Senior Lecturer (2012-2017), and Reader (2017-2020) before joining the University of Trento in 2020. Her research focuses on Network Science, Graphical Models, Causality, and Biostatistics. Key contributions include advancements in sparse inference, causal generalized linear models, and applications to microbiome interactions and healthcare quality evaluation. She leads the PRIN 2022 project and has coordinated initiatives like COSTNET (2016-2020). Editorial roles include Editor of Statistica Neerlandica and guest editorships for special issues on Network Science. She has advised six PhD students and contributed to R packages like cglasso and sglasso . Her work bridges statistical methodology with applications in biology, healthcare, and sociology. Recent grants include funding from the Research Council of Finland and Swedish Research Council. She is a member of the Bernoulli Society and Royal Statistical Society, and has organized conferences such as the International Workshop on Statistical Modelling (2024) and sessions at the Isaac Newton Institute (2016).

• Energy Systems
• Hydrogen Energy
• Decarbonization
• +3 more

Alessandro Balbo is a PhD Student in Energetics (39th cycle, 2023-2026) and Research Fellow at the Department of Energy (DENERG), Politecnico di Torino. His primary affiliation is with the MAHTEP Research Group within DENERG. His research focuses on energy systems with particular emphasis on hydrogen energy, decarbonization strategies, and the integration of sustainable development goals into energy policy. He utilizes open-source energy system optimization models to analyze the role of hydrogen in achieving national decarbonization targets, especially in the Italian context. Recent publications demonstrate a trend towards interdisciplinary research combining energy policy, technological innovation in power transmission (such as superconducting pipelines for hydrogen and electricity), and sustainable development. His work often involves modeling and policy analysis to enable coherence between energy policies and the Sustainable Development Goals. He is actively involved in the MAHTEP Research Group, contributing to projects that explore advanced energy technologies and their systemic implications.

• Time Series Analysis
• Dynamic Factor Models
• Climate Econometrics
• +3 more

Chiara Casoli is an Assistant Professor of Econometrics at the University of Insubria's Department of Economics and an Associate Researcher at Fondazione Eni Enrico Mattei (FEEM), contributing to the 'Econometrics of the Energy Transition' program. Her research focuses on time series analysis, dynamic factor models, structural VAR models, and applications to climate and energy economics. She holds a PhD in Economics from Marche Polytechnic University (2020), with a thesis on commodity price dynamics. Casoli teaches applied econometrics and time series courses at the University of Milan's PhD program. Awarded the 2022 Denis Sargan Econometrics Prize for her work on commodity price decomposition, her research explores energy market dynamics, climate change impacts, and critical raw materials for the energy transition. She leads projects like 'The Many Italies in COVID' and advises on ESG practices in emerging economies. Her work bridges theoretical econometric methodologies with practical applications in energy policy and environmental economics. Current Projects: "One, alone, indivisible: the many Italies in COVID" (2025-2027) "ESG Practices in Emerging Economies and Climate Transition in Europe" (2023-2025) Teaching: PhD courses in Applied Econometrics and Time Series Analysis at the University of Milan

• Structural Health Monitoring
• Seismic Risk Assessment
• Cultural Heritage Conservation
• +9 more

Erica Lenticchia is a Fixed-term Assistant Professor and researcher in the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic University of Turin. She is a member of the Interdepartmental Center R3C – Responsible Risk Resilience Center, contributing to research and teaching in civil and structural engineering with a focus on architectural and cultural heritage. Her academic appointments are within the College of Architecture and Design, where she collaborates across multiple degree programs. Research Interests: Structural Health Monitoring Seismic Risk Assessment of Cultural Heritage Durability of Cementitious and Historical Materials Dynamic Identification and Structural Dynamics Resilience and Vulnerability Assessment of Historical Centers Digital Twin Applications in Heritage Management Her recent publications reflect a strong trend in experimental and computational structural assessment, particularly on ferrocement durability, model updating techniques, and seismic resilience of built heritage. These works span high-impact journals and international conferences, showcasing interdisciplinary collaboration and innovation. Scientific Awards and Intellectual Contributions: Co-inventor of the national and international patent CAMELOT (Structural Model Corroboration Toolbox) Co-developer of associated software for structural model validation Teaching and Supervision: Erica Lenticchia actively contributes to teaching in both undergraduate and graduate programs, including: PhD Course: Seismic Risk of Cultural Heritage Master’s Courses: Design and Optimization of Shells and Spatial Structures, Integrated Restoration and Conservation, Adaptive Reuse of the Built Legacy Bachelor’s Courses: Construction Techniques, Atelier Design-Build, Construction Workshop E She serves as a PhD supervisor for Gerardo Sorrentino in the Civil and Environmental Engineering program. Her educational roles span architecture, civil engineering, and sustainability-focused curricula, emphasizing interdisciplinary integration. Research Projects: DiTHiCe (2025–2027): Digital Twin Development for Resilient Management of Minor Historical Centres – Project Manager CAMELOT - PoC Transition (2023–2024): PRIN-funded research – Member of Research Group Commercial Project on Mont Blanc Tunnel Wall Verification (2024–2025): Scientific Manager These projects highlight her leadership in both competitive and applied research domains.

• Computer networks and communications
• Cybersecurity
• Industry 4.0
• +7 more

Guido Marchetto is a Full Professor in the Department of Control and Computer Science (DAUIN) at Politecnico di Torino , where he conducts cutting-edge research in computer networks, cybersecurity, machine learning, and Industry 4.0. He is a member of the NETGROUP - Computer Networks Group , the SmartData@PoliTO interdepartmental center, and leads research at ACS LAB and LABINF . He serves as Deputy Coordinator of the Doctoral College in Computer and Systems Engineering and is the Scientific Advisor for the European Technology Platform for High Performance Computing (ETP4HPC). PhD Students: Federico Rinaudi, Doriana Monaco, Antonino Angi Research Groups: NETGROUP, SmartData@PoliTO Labs: ACS LAB, LABINF His research focuses on intelligent network management, explainable AI for networking, reinforcement learning, federated learning, and softwarized networks. He has led multiple EU and commercial research projects such as MIRANDA and DESIRE , with applications in cybersecurity, edge computing, and digital twins. Marchetto’s recent publications reveal a strong trend toward integrating AI/ML techniques—especially reinforcement learning and language models—into network automation, traffic engineering, and IoT systems. His work bridges theoretical innovation with practical implementation in cloud, edge, and telco environments. Scientific Awards: Best Paper Award Finalist, IEEE HPSR (2014) Best Paper Award, IEEE ICC (2007) He is a Senior Member of IEEE and serves on the editorial board of IEEE Transactions on Vehicular Technology . He has also been a Contract Professor at the Turin Polytechnic University in Tashkent from 2012 to 2022. His extensive grant leadership includes EU Horizon projects and numerous commercial research contracts with a focus on network intelligence and automation. He is actively involved in doctoral education and curriculum development, contributing to multiple degree programs and supervising ongoing PhD research in AI-driven networking and cybersecurity.

Daniele QuerciaView profile

Professor

• Responsible AI
• Responsible Software Systems Design
• Human-Computer Interaction
• +12 more

Daniele Quercia is a Full Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, where he is also a member of the Interdepartmental Center SmartData@PoliTO – Big Data and Data Science Laboratory. He is affiliated with the College of Computer, Film and Mechatronics Engineering and also contributes to the College of Environmental and Land Engineering. His work bridges computer science, AI, and societal impact. His research focuses on responsible software systems design and responsible AI , with deep engagement in human-computer interaction, data visualization, and ethical implications of AI systems. His work spans interdisciplinary domains, including urban informatics, public health, and social media analysis. He leads the DBDM - Database and Data Mining Group and teaches courses such as Engineering AI Systems, Data Science and Machine Learning for Engineering Applications, and Crafting Tech: Conceiving, Designing, and Communicating Tech Ideas. The most recent publications (2020–2024) reflect a strong trend in AI ethics , urban well-being , and social data analysis . His work appears in top-tier venues like CHI, RecSys, ICWSM, MobileHCI, and WWW, demonstrating a consistent focus on human-centered computing and real-world applications of AI. Themes include AI regulation, health-promoting urban recommendations, fake news, and wearable biofeedback. His scientific contributions are complemented by active mentorship and collaboration with researchers such as Marios Constantinides, Ke Zhou, Sanja Šcepanovic, and Giovanni Quattrone. He has secured teaching and research roles across diverse engineering programs and leads PhD-level instruction in Computer and Control Engineering. He is a member of key research groups and centers at PoliTO, including the DBDM group and SmartData@PoliTO, which focus on cutting-edge data science, AI, and responsible technology development.

• Human-Computer Interaction
• End-User Development
• Mobile Application Privacy
• +7 more

Juan Pablo Saenz Moreno is a Fixed-term Assistant Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin, affiliated with the College of Computer, Film and Mechatronics Engineering. His work bridges research and teaching in information processing systems and human-computer interaction. His research interests focus on Human-Computer Interaction , End-User Development , Mobile Application Privacy , Internet of Things , and Computing Education . He explores how users interact with intelligent systems, develop software themselves, and manage privacy in mobile environments. His work emphasizes user empowerment and interactive design. The recent publications highlight a strong trend in interactive computing systems, particularly in education, privacy, and creative applications of code. The research spans journals and top-tier conferences like ACM CHI and EICS, showing interdisciplinary engagement across computing, education, and art. Keywords include human-computer interaction, cybersecurity, software engineering, and digital creativity. Scientific contributions include work on collaborative computing education, privacy tools for end-users, IoT interaction models, voice-assisted debugging, and code-based art. Though no formal awards are listed, the publication record reflects impactful research in niche but growing areas of computer science. He has actively contributed to teaching across multiple degree programs, serving as course instructor and collaborator for Introduction to Web Applications , Web Applications I , Business Information Systems , and Empirical Research Methods at bachelor's, master's, and PhD levels. No formal advisees or grants are mentioned in the available text. He is a member of the ELITE - Intelligent and Interactive Systems research group within DAUIN, which focuses on developing intelligent, user-centered technologies for real-world applications.

• Computer Science
• Programming Languages
• Formal Methods
• +3 more

Marco Comini is an Associate Professor of Computer Science at the Department of Mathematics, Computer Science, and Physics (DMIF), University of Udine, Italy. He is actively involved in academic and research activities within the domain of computer science, particularly in theoretical and formal aspects of software systems. His research interests lie primarily in Computer Science , with a focus on Programming Languages , Formal Methods , Software Verification , and Static Analysis . These areas suggest a strong theoretical foundation aimed at ensuring correctness and reliability in software development through mathematical models and automated reasoning. No recent publications are listed in the provided text; therefore, no article trends can be analyzed at this time. There are no scientific awards mentioned in the available information. Marco Comini advises students at the graduate level, though specific names of advisees are not provided. There is no mention of grants or funded research projects associated with him in the current data. His academic service appears centered within DMIF, contributing to teaching and research in core computer science disciplines. There is no information available about specific laboratories, research teams, or collaborative groups he may lead or participate in.