Prof. Sergio Ginebri is an Associate Professor at the Department of Jurisprudence, University of Rome Tre. He holds a PhD in Economics from Sapienza University of Rome and has extensive experience in fiscal policy, pension systems, and public finance research. His work focuses on topics like pension sustainability, social inequality, and the political economy of public debt. Education: PhD in Economics, Sapienza University of Rome (1988–1992) MA in Economics, University of Warwick (1987–1988) Laurea in Statistics and Demography, Sapienza University of Rome (1977–1984) Research Interests: Prof. Ginebri specializes in public policy, fiscal sustainability, and the social impacts of pension reforms. His research explores how demographic trends, wealth distribution, and political dynamics shape economic policies. Recent work includes analyses of longevity risks, pension equity, and fiscal policy integration in the EU. Key Projects: Coordinated studies on pension system sustainability (2002–2018) Developed models for forecasting public pension expenditure Contributed to EU tax policy observatories Awards: Recipient of the national PhD award (1994) and recognition for academic excellence in tax policy research (2001). Teaching: Teaches courses in political economy, public finance, and macroeconomics at undergraduate and graduate levels.
Abhijit Banerjee is the Ford Foundation International Professor of Economics at MIT and Director of the Abdul Latif Jameel Poverty Action Lab (J-PAL). A 2019 Nobel laureate in Economic Sciences, his research focuses on development economics, political economy, and poverty alleviation. He co-authored influential books like Poor Economics and Good Economics for Hard Times , emphasizing evidence-based policies and randomized controlled trials. Banerjee’s work addresses global challenges such as education, health, and social welfare, with notable contributions to microfinance, public health interventions, and anti-poverty programs. He holds leadership roles in global initiatives like the Global Education Evidence Advisory Panel and has advised governments worldwide. His research spans topics from police resource allocation in India to the impact of information during crises like demonetization and the pandemic. Education: Bachelor’s in Statistics, Presidency College, Kolkata M.A. in Economics, Jawaharlal Nehru University PhD in Economics, Harvard University Key Contributions: Co-founder of J-PAL, promoting evidence-based poverty reduction strategies. Pioneer in using randomized controlled trials (RCTs) for policy evaluation. Research on microfinance, education reforms, and health interventions in developing countries. Awards: Nobel Prize in Economics (2019), Infosys Prize in Social Sciences (2009), Member of the National Academy of Sciences (2020). Grants/Advisory Roles: Collaborations with institutions like the World Bank, UN, and governments on poverty, health, and education policies. Labs/Teams: J-PAL global network, Abdul Latif Jameel Poverty Action Lab.
Federico ZANETTIN is a Full Professor in the Department of Comparative Linguistic and Cultural Studies at Ca' Foscari University of Venice. His research focuses on translation studies with particular emphasis on corpus linguistics, graphic narrative translation, and journalistic translation. He maintains an active presence in the academic community through editorial work and research collaborations. Professor ZANETTIN's research interests span multiple areas of translation studies. He is particularly known for his work on corpus linguistics and its applications to translation analysis, with a focus on creating and using linguistic databases. His research on the translation of graphic narratives examines the verbal and visual aspects of translating comics and graphic novels across cultures. Additionally, he investigates journalistic translation , analyzing how information is translated and disseminated across media platforms. His scholarly work demonstrates consistent productivity, with numerous publications that explore the intersection of translation, culture, and media. Professor ZANETTIN's research shows particular strength in analyzing adaptation processes across linguistic, cultural, and modal boundaries, both synchronically and diachronically. Professor ZANETTIN serves on several important editorial boards: Co-editor of inTRAlinea Member of the international advisory board for The Translator Member of the international advisory board for Translang Member of the international advisory board for Entreculturas Member of the publications committee for Transletters. International Journal of Translators and Interpreters Member of the scientific committee for the Book series Interactio He is also frequently called upon as a referee for prestigious research projects, including those funded by The British Academy (UK), MIUR (Ministry of Education, University and Research), Italy, CSIC (Consejo Superior de Investigaciones Científicas), Spain, NRC (National Research Council), Canada, National and Kapodistrian University of Athens, Greece, and SNSF (Swiss National Science Foundation). Professor ZANETTIN teaches courses in English language and translation at both undergraduate and graduate levels, focusing on European, American, and postcolonial languages and literatures. His teaching reflects his research expertise in translation studies and cross-cultural communication.
Matteo Cagnoni is a Researcher at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino . His research focuses on Density Functional Theory , Quantum Chemistry , and Thermoelectric Materials for Solar Cells . He is actively involved in the European Union’s MIRACLE project , developing photonic meta-concrete for radiative cooling solutions. Research Interests: Development of cement-based radiative coolers for solar cell thermal management Computational discovery of intermediate-band solar cell materials Electronic properties of semiconductors and insulators Teaching: Electronic transport in crystalline and organic semiconductors Advanced experimental physics Scientific Contributions: Matteo has published extensively on radiative cooling, perovskite/silicon tandem solar cells, and thermoelectric materials. His work spans journals like Nature Communications , Advanced Functional Materials , and Progress in Photovoltaics , with a focus on simulation engineering , photonic devices , and energy-efficient materials . Labs & Collaborations: He works within the Microwave and Optoelectronics Group (MOG) at DET, collaborating with international institutions on EU-funded projects.
Michele Zorzi is a Professor of Telecommunications at the School of Engineering, University of Padova, Italy, where he has held a faculty position since 2003. He leads the SIGNET (Signal processing and Networking) Research Group, focusing on cutting-edge wireless networking challenges including mmWave communications and underwater networks. His extensive publication record exceeds 600 papers in top-tier journals and conferences, reflecting significant contributions to the field through both theoretical and experimental work. He received his Laurea Degree (1990) and Ph.D. (1994) in Electrical Engineering from the University of Padova. Prior academic appointments include Politecnico di Milano (1993-1996), University of California San Diego (1995-1998), and University of Ferrara (1998-2003), where he progressed from Associate Professor to full Professor. His educational trajectory demonstrates deep roots in Italian academia with international exposure. Professor Zorzi's research spans wireless communications and networking, with current emphases on mmWave networking for vehicular systems, underwater acoustic/optical communications, non-terrestrial networks, and AI-driven networking solutions. His group conducts experimental validations including at-sea trials for underwater systems and testbeds for vehicular networks. Key projects include PRATA for predictive QoS in autonomous driving and IoT-based environmental monitoring of the Venice Lagoon, demonstrating practical applications of theoretical work. Analysis of his 2022-2025 publications reveals strong trends in applying artificial intelligence to networking challenges across diverse environments. There is significant emphasis on vehicular networks (predictive QoS, teleoperated driving), underwater systems (acoustic/optical communications, AUV swarms), and satellite networks (Starlink integration, NTN security). Experimental validation in real-world scenarios like the Venice Lagoon monitoring project and underwater sea trials characterizes his applied research approach. His scientific accolades include: IEEE Fellow (2007) IEEE Communications Society Best Tutorial Paper Award (2008, 2019) Stephen O. Rice Best Paper Award (2018) Multiple best paper awards at IEEE conferences (2005-2020) As principal investigator for numerous European and US research projects plus 20+ industry-funded initiatives, Professor Zorzi has mentored over 35 PhD students and post-docs. Graduates now hold prominent positions at institutions including Stanford, UCSD, CTTC, and Huawei. His SIGNET group maintains active international collaborations and contributes to open-source networking tools via GitHub, demonstrating commitment to community engagement. The SIGNET Research Group, housed within the Department of Information Engineering, operates specialized experimental facilities for mmWave and underwater communications. Current initiatives include AI-based predictive QoS frameworks for vehicular networks, underwater optical communication systems using ultraviolet light, and large-scale IoT deployments for environmental monitoring. The group's GitHub presence indicates strong open-science practices, while recent sea trials confirm hands-on experimental capabilities beyond theoretical work.
Matteo Sonza Reorda is a Full Professor at the Polytechnic University of Turin, affiliated with the Department of Automatic Control and Computer Science (DAUIN). He holds roles such as Partnership Agreement Coordinator with SMAT and has served as Vice-Rector for Research (2021–2024). His research focuses on fault tolerance, hardware reliability, and AI acceleration, with contributions to GPU/CNN reliability, self-test libraries, and defect-oriented testing. Education: M.S. in Electronics Engineering, Politecnico di Torino (1986) Ph.D. in Computer Engineering, Politecnico di Torino (1990) Research Interests: His work spans automatic test equipment, circuit reliability, GPU fault tolerance, neural network hardening, and embedded systems safety . He leads the Electronic CAD & Reliability Group and collaborates with institutions like the ISI Foundation and the National Research Council (CNR). Publications & Impact: With over 180 publications, his recent work emphasizes AI accelerator reliability, fault injection techniques, and safety-critical systems. Key trends include GPU resilience for CNNs, self-test library optimization, and radiation fault modeling in neural networks. Awards & Recognition: IEEE Fellow (2016–) Multiple best-paper awards at IEEE conferences (DDECS, DATE, etc.) Grants & Collaborations: Coordinator of EU projects (RESCUE, TUTORIAL) Partnerships with EDF, Marelli Europe, and SMAT Lead on National HPC/Quantum Computing Spoke 1 (2022–2025) Labs/Teams: Leads the CAD Group and collaborates with the French-Italian LIA LAFISI lab on hardware-software integration.
Elias Dinas is a Full-time Professor in the Department of Political and Social Sciences at the European University Institute (EUI). He holds the Swiss Chair in Federalism, Democracy, and International Governance. His research focuses on political socialization, authoritarian legacies, and research methodology. Dinas earned his PhD in Political Science from the EUI in 2010. His research interests include the impact of historical traumas on political attitudes, experimental methods, and the dynamics of norm change. He collaborates with institutions like the Graduate Institute in Geneva through seminars, conferences, and methodological workshops. Recent work explores topics such as ideology mapping via AI, the electoral effects of early voting experiences, and the interplay between migration crises and public policy. His research has been published in top journals like the American Political Science Review and highlighted in outlets like The New York Times. Received the Michael Wallerstein Award (2019) for his work on migration and hostility. Supervises 14 students researching memory politics, norm change, and intergroup relations. Leads projects on post-authoritarian ideologies, German political identity, and elite-driven norm erosion. His teaching and supervision emphasize causal inference, experimental design, and quantitative methods, reflecting his commitment to rigorous political analysis.
Jeffrey T. Checkel is a Full-time Professor in the Department of Political and Social Sciences at the European University Institute (EUI). He joined EUI in 2020 and previously held positions at Simon Fraser University, the University of Pittsburgh, and the University of Oslo. He earned his PhD in Political Science from MIT and a first degree in Applied Physics from Cornell University. His research focuses on international relations theory, qualitative methods, and identity formation. Key areas include constructivism, international institutions, civil war dynamics, and processual methods. He teaches courses on IR theory, qualitative methods, and philosophies of social science. Checkel's recent work explores 'Institutions at Bay? Regional Integration and Identity,' analyzing how regional organizations shape identity through local and national dynamics. He is Co-Editor-in-Chief of QMMR: Qualitative and Multi-Method Research and President of the APSA Qualitative and Multi-Method Research Organized Section. Education: PhD in Political Science (MIT), B.S. in Applied Physics (Cornell University) Research Interests: Identity formation, process tracing, constructivism, international institutions, civil war, qualitative methodologies. He advises numerous PhD students and post-doctoral fellows, leading working groups on IR theory and qualitative fieldwork. His publications span over 99 works, with a focus on bridging theoretical and methodological divides in social science.
Giuseppe Carlo Marano is a Full Professor at the Department of Structural, Building and Geotechnical Engineering at Politecnico di Torino. He is also a component of the SISCON Interdepartmental Center for Infrastructure Safety. With expertise in civil and structural engineering, his work focuses on machine learning applications, seismic risk reduction, and sustainable structural optimization. Education Graduated cum laude in Structural Engineering from Polytechnic University of Bari PhD in Structural Engineering from University of Florence (2000) Research Interests Marano's research spans structural optimization, seismic engineering, and machine learning applications in civil infrastructure. He develops advanced computational models for: Seismic retrofitting of existing structures Optimization of steel and masonry structures Recycled materials in concrete production AI-driven structural health monitoring Multiobjective design methodologies Publication Trends His recent work emphasizes: Machine learning for concrete mix design and damage assessment Optimization of gridshells and arch structures Seismic isolation systems and vibration control Sustainable construction practices with recycled materials Multiobjective genetic algorithms for structural design Scientific Recognitions National Scientific Qualification - First Band (2013, MIUR Italy) Certificate of Appreciation for Outstanding Lecture (2012, China) Academic Contributions As an educator, he teaches: Consolidamento Strutturale (Structural Consolidation) Dinamica delle Vibrazioni Random (Random Vibration Dynamics) Progettazione Generativa (Generative Design) He also leads Challenge@PoliTo initiatives and contributes to national infrastructure safety regulations. Research Projects ADAPT4CE - Adaptive Digital Systems for Circular Economy (2025-2028) AI-ENVISERS - AI for Seismic Retrofit Environmental Impact (2023-2025) ADDOPTML - Additive Manufacturing Optimization (2021-2025)
Rita Cucchiara is a Full Professor at the Department of Engineering 'Enzo Ferrari' of the University of Modena and Reggio Emilia. She leads the AImageLab research laboratory, part of the Artificial Intelligence Research and Innovation Center (AIRI) in Modena. Her research focuses on Computer Vision, Pattern Recognition, Machine Learning, and Multimedia, with applications in video surveillance, medical imaging, human-centered AI, and generative models. She is actively involved in interdisciplinary projects like ELIAS (European Lighthouse for AI Sustainability) and ELSA (European Lighthouse on Secure AI). Her recent roles include being elected Rector of the University of Modena and Reggio Emilia in 2025. She has organized and participated in major AI events, including workshops at NeurIPS, CVPR, and ECCV, and has contributed to advancements in multimodal models, deepfake detection, and trustworthy AI. Education details are not explicitly provided, but her extensive academic and research experience at the University of Modena underscores her expertise. She collaborates with institutions like NVIDIA, CINECA, and industry partners such as Digital Design and NVIDIA's AI Technology Center. AImageLab's projects include developing systems for medical imaging, ethical AI, and generative adversarial networks (GANs) for design surfaces. She co-organizes initiatives like the ELLIS Summer School on Large-Scale AI and contributes to policy discussions on AI ethics and societal impact. Her work spans from foundational research (e.g., vision transformers, continual learning) to applied projects (e.g., DDGan system for surface printing). Key grants and collaborations include the FAIR project and PNRR-M4C2 initiatives. She advises students and researchers in AI, with 7 PhD positions funded under national programs. Her leadership roles in AIRI and AImageLab highlight her commitment to bridging academia and industry, fostering innovation in AI-driven solutions for sustainability and healthcare.
Dr Adam Ritchie serves as a Senior Vaccinologist at the University of Oxford's Jenner Institute and Lecturer in Human Science at St Catherine's College. His work focuses on translating academic vaccine research into real-world impact through the development, manufacture, and clinical testing of candidates for rabies, Epstein-Barr virus (EBV), and SARS-CoV-2. Education: Holds a BSc, PhD, and Fellow of the Higher Education Academy (FHEA) qualification. His research spans vaccine development, clinical trial design, regulatory affairs, and public policy through Vax-Hub Global. Key interests include adenovirus-vectored platforms, scalable manufacturing processes, and addressing global health challenges in resource-limited settings. Analysis of his 2020-2025 publications reveals a cohesive research trajectory centered on ChAdOx1-vectored vaccines. Dominant themes include prime-boost regimens, intranasal delivery systems, cost-effectiveness modeling for low-income countries, and material science applications for vaccine stabilization. His work bridges laboratory innovation with implementation science, particularly in rabies prophylaxis and pandemic response. Ritchie actively contributes to the Douglas Research Group at the Jenner Institute and global vaccine initiatives through Vax-Hub. His collaborative work appears in high-impact journals including The Lancet, Nature Medicine, and Vaccine, with emphasis on clinical translation and equitable vaccine access.
Giorgio Grisetti is a Full Professor at Sapienza University of Rome within the Department of Systems and Computer Science, maintaining active research roles in the RoCoCo lab at Sapienza since November 2010 and the Autonomous Intelligent Systems Lab at Freiburg University where he previously served as a Post Doc under Wolfram Burgard starting in 2006. His educational background includes a M.Sc. in Computer Engineering from the University of Rome (2001) and a Ph.D. from Sapienza University of Rome's Intelligent Systems Lab (2006), supervised by Daniele Nardi. His doctoral thesis focused on SLAM using Rao-Blackwellized particle filters. Dr. Grisetti's research centers on mobile robotics with emphasis on robust solutions for autonomous navigation systems. His work spans theoretical and practical advancements in Simultaneous Localization and Mapping (SLAM), robot localization, path planning, and sensor fusion, particularly leveraging LiDAR and multi-sensor configurations. Recent publications demonstrate strong focus on optimization techniques, sensor calibration, and real-time performance for autonomous systems operating in complex environments. His publication trends reveal deep specialization in LiDAR-based SLAM (7 of 15 recent articles), bundle adjustment methods (4 articles), and sensor calibration/perception (3 articles), with consistent contributions to top robotics venues like IEEE Robotics and Automation Letters and ICRA. Key recognitions include: Nomination for the best IROS paper award (2010) Open Source achievement award from Willow Garage (2010) Best paper award at the International Conference and Exhibition on Unmanned Areal Vehicles (2010) Best Paper award at ICRA 2009 (2009) His research is conducted through the RoCoCo lab at Sapienza University of Rome and the Autonomous Intelligent Systems Lab at Freiburg University, focusing on developing foundational algorithms for mobile robot autonomy. Current projects emphasize robust perception systems, optimization frameworks for sensor fusion, and practical implementations for real-world navigation challenges.
Roberto Albano is an external lecturer and teaching assistant at the Interuniversity Department of Regional and Urban Studies and Planning (DIST) within Politecnico di Torino's College of Architecture and Design . He has been actively involved in teaching urban planning modules across multiple degree programs since 2019, including courses like Urban Design Workshop B and Heritage Redevelopment and Enhancement Project . Teaching Roles : Course Lecturer for Heritage-focused Urban Planning (2020–2024), Collaborator for Urbanism modules in Heritage programs (2022–2024). Research Focus : Multidisciplinary approaches to urban design, heritage conservation, and spatial planning. His work emphasizes collaborative teaching frameworks and integrating design innovation into territorial strategies. Publications : Contributed to edited volumes on urban design pedagogy and regional development trends, notably co-editing Pieces of the City (2021) and analyzing design industry evolution in Piedmont (2018).
Marcus Herrmann is a Professor of Aerospace and Mechanical Engineering at Arizona State University's School for Engineering of Matter, Transport and Energy. He is also affiliated with the Center for Negative Carbon Emissions. His research focuses on fluid mechanics, multiphase flows, atomization processes, and numerical methods for discontinuous interfaces. Herrmann holds a PhD in Mechanical Engineering from RWTH Aachen University (2001) and a Diplom (1995). His career includes a postdoctoral fellowship at Stanford University's Center for Turbulence Research (CTR) and a visiting scientist position at the University of Technology Eindhoven, Netherlands. He has secured major grants from NASA, NSF, and industry partners like Honeywell, focusing on atomization modeling, supersonic crossflows, and turbulence simulations. Research interests span computational fluid dynamics, multiphase flow simulation, and LES/DNS methodologies. His recent work emphasizes high-fidelity numerical techniques for particle-resolved simulations and phase interface dynamics. Teaching includes courses like MAE 561 (Computational Fluid Dynamics) and MAE 384 (Advanced Math Methods for Engineers). He actively advises students through research and dissertation roles. Notable projects include modeling wax deposition in pipelines and developing novel approaches for interface dynamics in turbulent flows. His work bridges fundamental fluid mechanics with industrial applications like combustion systems and porous media modeling.
Andrea Beltratti is a Full Professor at Bocconi University, specializing in financial economics and asset pricing. He holds a Ph.D. in Economics from Yale University (1989) and a B.A. in Economics from the University of Turin (1982). His research focuses on stock and bond volatility, mortgage markets, environmental economics, and financial crises. Notably, his work on asset price dynamics was mentioned during the 2013 Nobel Prize Ceremony. He teaches courses on equity portfolio management, financial investments, and real estate valuation. Education: Ph.D., Yale University; B.A., University of Turin Key Research Areas: Financial markets, banking systems, sustainable development, and macroeconomic policy Beltratti’s publications span journals like the Journal of Banking and Finance, Journal of Financial Economics, and Oxford Economic Papers. His award-winning contributions include analyses of global credit crises and asymmetric contagion effects in European sovereign debt markets. He actively contributes to academic discussions through teaching and research on fintech, infrastructure finance, and alternative investments.
