Find Academic Supervisors

• Labor Economics
• Development Economics
• Economic Inequality
• +7 more

Gabriella Berloffa is a Full Professor in the Department of Economics and Management at the University of Trento, where she has served since 2005. She directs the department and participates in university governance as a member of the University Council. PhD in Economics, University of York (1997) MSc in Economics (Distinction), University of York (1994) BA in Economia Politica (Cum Laude), University of Trento (1993) Her research focuses on household economic decisions (consumption, savings, labor supply) and their impacts on welfare and inequality , spanning both developed and developing nations. Key contributions include analyzing European economic inequality , youth unemployment dynamics , and household risk-coping strategies . Recent publications emphasize labor market quality , gender disparities , and microeconomic modeling , employing advanced econometric techniques and qualitative methods. She led the STYLE EU FP7 project (2014–2017) on youth transitions and contributed to national research on labor policies and poverty analysis . Sir Austin Robinson Memorial Prize (1997) Berloffa has advised doctoral programs since 2005, chaired institutional committees, and served as referee for journals including Economic Journal and Journal of Development Studies . Her policy work includes presentations at the European Commission and Italian institutions.

Gian Pietro PiccoView profile

Professor

• Building Automation
• Pervasive Computing
• Software Engineering
• +12 more

Gian Pietro Picco is a Full Professor at the Department of Information Engineering and Computer Science (DISI) at the University of Trento, Italy. His research focuses on wireless networks, particularly ultra-wideband (UWB) technology, wireless sensor networks, and cyber-physical systems. He teaches courses including Distributed Systems, Low-power wireless networking for the Internet of Things, and Programming 2. Professor Picco's research interests span several interconnected domains in pervasive computing and networking: Ultra-wideband (UWB) technology for precise localization and communication Wireless sensor networks and Internet of Things (IoT) systems Cyber-physical systems and networked control Energy-efficient networking protocols Distributed systems and middleware Software engineering approaches for networked embedded systems His recent publications demonstrate a strong focus on ultra-wideband technology applications, particularly in localization, ranging, and concurrent transmissions. His work bridges theoretical foundations with practical implementations, often addressing real-world challenges in human-robot interaction, contact tracing, and infrastructure monitoring. A notable trend is the increasing application of UWB technology for precise positioning in complex environments, with significant contributions to understanding and mitigating human occlusion effects on ranging accuracy. Professor Picco has received numerous prestigious awards for his research contributions: Best Paper Award at IPSN'23 for "Network On or Off? Instant Global Binary Decisions over UWB with Flick" Best Paper Award at IPIN 2019 for "TALLA: Large-scale TDoA Localization with Ultra-wideband Radios" Best Paper Award at EWSN 2018 for "Concurrent Ranging in Ultra-wideband Radios" Best Paper Award at IPSN 2015 for "Geo-referenced Proximity Detection of Wildlife" Best Paper Award at IPSN 2011 for "Wireless Sensor Networks for Adaptive Lighting in Road Tunnels" Best Paper Award at IPSN 2009 for "Monitoring Heritage Buildings with Wireless Sensor Networks" Mark Weiser Best Paper Award at PerCom 2012 Professor Picco actively advises numerous PhD and Master's students, with several of his advisees becoming prominent researchers in wireless networking. His laboratory has secured significant funding for research projects in wireless sensor networks, IoT systems, and cyber-physical systems. His work has practical applications in heritage building monitoring, wildlife tracking, road tunnel lighting systems, and pandemic contact tracing. His research group maintains the Cloves large-scale ultra-wideband testbed and has developed several middleware systems for wireless sensor networks, including Lime and TeenyLIME. The group collaborates extensively with international research institutions and has made significant contributions to standardization efforts in IoT networking protocols.

• Hydrology
• Water Engineering
• Flood Frequency Analysis
• +2 more

Luigi Cafiero is a PhD candidate in Civil and Environmental Engineering at the Polytechnic University of Turin (Politecnico di Torino), currently in his 38th cycle (2022-2025). Affiliated with the Department of Environmental, Land and Infrastructure Engineering (DIATI) and serving as an external lecturer at the Interuniversity Department of Regional and Urban Studies and Planning (DIST), his doctoral research focuses on non-stationary flood frequency analysis under climate change conditions, specifically developing operational procedures for space-time estimation of flood quantiles. His academic background includes: Bachelor of Science in Mechanical Engineering, Università degli studi di Genova, 2019 Master of Science in Environmental Engineering (Climate Change specialization), 2022, with thesis on Idai cyclone characterization in Beira, Mozambique, developed within the interdisciplinary lab "After the Storm. Designing post-cyclone strategies for the city of Beira, Mozambique" Research interests span Hydrology and Water Engineering , with concentrated expertise in non-stationary flood frequency analysis, climate change impacts on hydrological extremes, and hydrometeorological risk assessment. His work integrates advanced statistical methods with practical flood risk management applications, particularly addressing precipitation extremes in changing climates. Analysis of his 12 publications (2022-2025) reveals a consistent focus on climate-driven flood frequency modeling, featuring quantile-mapping techniques for precipitation-flood relationships, regional flood modeling in the Po River basin, and case studies of extreme events like the Idai cyclone. His research bridges theoretical hydrology with actionable flood risk adaptation strategies. Scientific Awards: None listed in available information. Advising and Grants: As a current PhD candidate, no formal advisees are documented. No grant information is provided in the source materials. Labs and Teams: Previously engaged with the "After the Storm" interdisciplinary lab for Mozambique cyclone recovery strategies. Currently collaborates with Alberto Viglione (PhD supervisor), Miriam Bertola, Paola Mazzoglio, Francesco Laio, and Günter Blöschl on flood frequency research at Politecnico di Torino.

• Fluvial geomorphology
• Ecohydraulics
• Biogeomorphology
• +5 more

Walter Bertoldi is an Associate Professor of Geomorphology and Physical Geography at the University of Trento , Italy, within the Department of Civil, Environmental and Mechanical Engineering. Since April 2018 he has held the Associate Professor rank, after serving as Assistant Professor from 2011-2018. He is also affiliated with the Agriculture, Food and Environment Center-C3A at the same university, and previously worked as Research Associate at Queen Mary University of London (2009-2010) and the University of Trento (2006-2009). Education PhD in Environmental Engineering (2004), University of Trento – Thesis: “River Bifurcations” 5-year Laurea degree in Environmental and Landscape Engineering (2000), University of Trento – 110/110 High school diploma (1994), Liceo Scientifico B. Russell, Cles (TN) On-line Master “Cooperación internacional: Tecnologías para el Desarrollo Humano” (2005), Ingenieria Sin Fronteras & Universitat Oberta de Catalunya Research Interests Walter Bertoldi’s research is centred on fluvial geomorphology with a strong emphasis on braided rivers . He investigates: Interactions between flow, sediment transport and vegetation Spatio-temporal controls on river morphology and bifurcations Biogeomorphic feedbacks involving riparian vegetation and large wood Physical and numerical modelling of river morphodynamics Use of remote sensing (LiDAR, Sentinel, close-range imagery) for monitoring river change His preferred field laboratory is the pristine River Tagliamento in Italy, complemented by collaborations on Alpine, Balkan and Japanese rivers. Scientific Awards & Recognition 2019 Gordon Warwick Award – British Society for Geomorphology, for excellence in geomorphological research within 15 years of PhD 2010 Wiley-Blackwell Award – Best paper in Earth Surface Processes and Landforms for “Planform dynamics of braided streams” Advising & Grant Leadership Bertoldi has supervised 14 PhD students to completion (or up to present), 46+ MSc theses and three post-doctoral fellows funded by MSCA and provincial grants. He currently sits on the academic boards of the Erasmus Mundus SMART Joint Doctorate and the University of Trento PhD programmes in Agrifood & Environmental Sciences and Civil & Environmental Engineering. Laboratories, Teams & Collaborations He leads experimental work in the University of Trento hydraulic/fluvial lab and coordinates field campaigns combining drones, LiDAR and in-situ instrumentation. Long-standing international collaborators include Queen Mary University of London, University of Western Ontario, ETH Zurich, University of Padova, Free University of Bozen-Bolzano, University of Kyoto and others.

• Edge Computing
• Fog Computing
• Cloud Computing
• +7 more

Riccardo Lancellotti is an Associate Professor at the Department of Engineering 'Enzo Ferrari' of the University of Modena and Reggio Emilia. His research focuses on Edge/Fog/Cloud Computing, Cyber Security, and Resource Management in distributed systems. He has extensive contributions in optimizing infrastructure performance, load balancing, and energy efficiency in cloud and fog environments. His work often combines theoretical models with practical simulations, addressing challenges like stale information in edge systems and heterogeneous resource allocation in smart cities. Key research areas include: Fog/Edge computing infrastructure design and optimization Cloud resource provisioning and SLA compliance Security for Industry 4.0 and automotive systems Genetic algorithms for service placement Scalable VM clustering and resource allocation Publications highlight trends in cloud/fog integration, robust game theory for microservices, and distributed load balancing under dynamic conditions. His work emphasizes practical applications, such as pharmaceutical distribution routing and smart city sensor management. No awards are explicitly listed, but his extensive publication record reflects recognition in the field.

• Mechanical Engineering
• Vibration Analysis
• Carbon Nanotubes
• +4 more

Matteo Strozzi is an Associate Professor at the Department of Engineering Sciences and Methods, University of Modena and Reggio Emilia. His research focuses on mechanical vibrations, carbon nanotube dynamics, and nonlinear structural mechanics. He specializes in shell theories, nonlocal elasticity models, and advanced diagnostics for mechanical systems such as bearings and gears. Key research areas include vibration analysis of nanostructures, experimental validation of models, and the application of signal processing techniques (e.g., Hjorth parameters) for condition monitoring. His work addresses challenges in both theoretical and applied mechanics, with contributions to renewable energy systems (wind turbines) and additive manufacturing (3D-printed materials). Publications highlight advancements in understanding energy localization in carbon nanotubes, nonlinear resonance interactions, and the development of shell models for nanoscale structures. His research bridges continuum mechanics with modern engineering applications, emphasizing both fundamental science and industrial relevance.

Davide BigoniView profile

Professor

• Solid Mechanics
• Structural Mechanics
• Material Instability
• +3 more

Davide Bigoni is a Professor of Solid and Structural Mechanics at the Department of Civil, Environmental & Mechanical Engineering, University of Trento, Italy. He leads the Solid and Structural Mechanics Group and the Instabilities Lab, focusing on advanced topics in nonlinear mechanics, material instability, and metamaterials. Research Interests: His work spans bifurcation theory, elastic instabilities, shear band formation, configurational forces, and applications in biomechanics and metamaterial design. Key areas include tensile buckling, structural interfaces, and serpentine locomotion mechanics. Grants & Funding: He coordinates major grants including the ERC Advanced Grant 'Beyond hyperelasticity' (€2.47M) and previously led the 'Instabilities and nonlocal multiscale modelling' project. His research also involves collaborations with institutions like Harvard University and the University of Liverpool. Publications & Recognition: Author of the textbook Nonlinear Solid Mechanics: Bifurcation Theory and Material Instability , he has published extensively in journals like Proceedings of the Royal Society A and Journal of the Mechanics and Physics of Solids . Notable awards include the Euromech Fellow distinction. Labs & Teams: The Instabilities Lab explores mechanical systems through experimental and theoretical approaches, with projects on elastic energy release, structural interfaces, and novel material behaviors.

• New Product Development
• Knowledge Management
• Collaborative Work Environments
• +5 more

Angelo Corallo is an Associate Professor at the Department of Experimental Medicine, University of Salento, specializing in technologies and methodologies for collaborative processes in industrial systems. His research spans Digital Business Ecosystems , Cybersecurity , and Collaborative Product Design , focusing on the interplay between technology and organizational dynamics. He leads interdisciplinary research divisions in Open Networked Business Management , Learning and Innovation , and Collaborative Product Design . Research Interests : Corallo's work integrates Information and Communication Technologies (ICT) with Business Management, particularly in Digital Twins for healthcare and manufacturing Knowledge Modeling and Ontology Engineering Industry 4.0 and Smart Manufacturing Agri-Food Sustainability through digitalization Scientific Contributions : His recent articles explore trends in Cybersecurity for Industrial IoT Metaverse Applications in business models Traceability Systems in food supply chains Collagen-Based Biomaterials from aquaponics

Pietro ManzoniView profile

Professor

• Internet of Things (IoT)
• Mobile Wireless Networks
• LPWAN Technologies
• +7 more

Pietro Manzoni is a Professor of Computer Engineering at the Polytechnic University of Valencia (UPV), Spain. He holds a Master's from the University of Milan (1989) and a Ph.D. from Politecnico di Milano (1995). His research focuses on IoT, edge computing, and wireless networks, with emphasis on TinyML, LPWAN, and edge-cloud systems. He coordinates the Computer Networks Research Group (GRC) and is active in IEEE committees. Education includes a Master's in Computer Science (Università degli Studi di Milano, 1989) and a Ph.D. in Computer Science (Politecnico di Milano, 1995). He interned at Bellcore Labs (USA, 1992–1993) and ICSI (USA, 1994). Research interests span IoT applications, resource-constrained devices, and distributed systems. His work prioritizes empirical validation through prototypes. Teaching includes courses on Networks and Security, Intelligent IoT Systems, and IoT fundamentals in Spanish programs. Publications emphasize IoT protocols, UAV swarms, and TinyML. No scientific awards listed, but over 130 theses advised. Coordinates GRC projects and contributes to editorial boards and conferences.

Elena KorchminaView profile

Assistant Professor

• Economic History of Early Modern Europe
• Fiscal History of European Elites
• Economic History of Eastern Europe
• +4 more

Elena Korchmina is a tenure-track Assistant Professor in the Department of Economics at the University of Bologna. Her research focuses on the Economic History of Early Modern Europe, particularly the Fiscal History of European Elites and the Economic History of Eastern Europe. She holds a PhD in Russian History and has specialized in Russian economic history, analyzing topics such as serfdom, taxation, and elite behavior. Her work explores the interplay between fiscal systems, social structures, and economic development in historical contexts. Notable research areas include the impact of serfdom on economic growth, tax compliance mechanisms among aristocrats, and the conceptual evolution of terms like 'profit' and 'luxury' among Russian elites. Korchmina has received multiple awards from the Higher School of Economics (HSE), including recognitions for academic excellence in publications and teaching. Her research has been published in leading journals such as The Journal of Economic History, The Economic History Review, and The Journal of the History of Economic Thought. She has also contributed to collaborative projects comparing historical agricultural policies between Denmark and Russia, and analyzing corruption dynamics in the Russian Empire. Her recent studies include groundbreaking work on income inequality in Moscow Province during the early 19th century and the role of gender in wealth accumulation among Russian nobility. Korchmina's interdisciplinary approach combines archival research with quantitative methods to shed light on long-term economic and social processes.

Agostino CortesiView profile

Professor

• Software Engineering
• Static Analysis
• Cybersecurity
• +5 more

Agostino Cortesi is a Full Professor at Ca' Foscari University of Venice , affiliated with the Department of Environmental Sciences, Informatics and Statistics. He serves as Rector's Delegate for Research Quality Assessment and Deputy Coordinator of the Scientific Committee for the Innovation Ecosystem Project. His academic career includes a PhD in Applied Mathematics and Informatics from the University of Padova (1992), a postdoctoral fellowship at Brown University, and visiting professor roles at institutions such as the University of Illinois and École Normale Supérieure Paris. Research interests focus on software engineering , static analysis , security applications , and abstract interpretation . He has pioneered techniques for formal verification of software systems and explored cybersecurity in e-Government and robotics. His work spans over 200 publications in top journals and conferences (e.g., ACM TOPLAS, IEEE TSE, POPL, PLDI). Key contributions include advancements in abstract domains for behavioral property verification and security-oriented analysis frameworks. He has held leadership roles including Vice-Rector at Ca' Foscari, Dean of Computer Science programs, and Chair of the Department of Computer Science. Cortesi coordinates EU Horizon 2020 projects (e.g., Families_Share €1.6M) and regional initiatives like CEVID (€360K). He founded Factors , a university spin-off focused on robotic systems verification, which won the 2020 Veneto SmartCup ICT Prize. Education: PhD in Applied Mathematics and Informatics (1992, University of Padova) Editorial Roles: Co-Editor-in-Chief of Springer’s 'Services and Business Process Reengineering', and member of editorial boards for 'Computer Languages' and others Grants: Over €3M in EU and regional funding for projects in cybersecurity, Industry 4.0, and digital innovation Teaching includes courses on Software Correctness , Data Programming , and Computer Networks across Computer Science and Management programs. His research lab actively engages in industrial partnerships with Cisco, Leonardo, and AGID (Italy’s Digital Agency).

Domenico CicchellaView profile

Associate Professor

• Geochemistry
• Environmental Monitoring
• Soil Contamination
• +7 more

Domenico Cicchella is an Associate Professor in the Department of Science and Technology at the University of Sannio, Italy, specializing in Geochemistry and Volcanology (GEO/08). With over two decades of academic experience, he has established himself as a leading researcher in environmental geochemistry, particularly in soil and water contamination studies in the Campania region of southern Italy. His research interests span multiple critical areas of environmental geochemistry: Urban and regional geochemical mapping Heavy metal and potentially toxic element (PTE) analysis in soils Environmental risk assessment methodologies Application of advanced statistical techniques to geochemical data Water pollution monitoring and assessment Integration of compositional data analysis with machine learning approaches Geochemical background determination Analysis of his publication record reveals a strong focus on developing innovative methodologies for environmental assessment, particularly through the "Campania Trasparente" project - a comprehensive multimedia monitoring initiative. His work increasingly incorporates advanced data analysis techniques including compositional data analysis, multivariate statistics, and machine learning applications to address complex environmental challenges in urban and regional settings. His research spans from fundamental geochemical studies to practical applications for environmental management and public health protection. Professor Cicchella maintains an active research profile with numerous collaborations across Italy and internationally, contributing significantly to our understanding of environmental contamination patterns and developing practical approaches for risk assessment and management. His work has appeared in leading journals including Journal of Geochemical Exploration, Applied Geochemistry, and Science of the Total Environment, demonstrating both academic rigor and practical relevance to environmental challenges.

• Engineering Drawing
• Building Information Modeling (BIM)
• Geographic Information Systems (GIS)
• +12 more

Maurizio Marco Bocconcino is an Associate Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at Politecnico di Torino. He is a member of the Interdepartmental Center R3C (Responsible Risk Resilience Center) and serves as Coordinator of basic subjects for the 2nd year of Engineering. His academic work bridges civil engineering and architectural design, with a strong focus on representation and digital modeling. His research interests include engineering drawing, territorial and urban surveying, geographic information systems (GIS), Building Information Modeling (BIM), data representation, and tools for urban and social regeneration. He investigates methods for surveying historic buildings, urban resilience, and the integration of digital technologies in heritage and urban planning. His work is aligned with UN Sustainable Development Goals 11 and 17, emphasizing sustainable cities and collaborative research. Bocconcino's recent publications explore digital archives for academic heritage, analog artifacts in engineering education, urban form, LEAN-BIM integration, and the visualization of social impact. His research outputs span journals such as DISEGNO , International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences , and AGATHÓN , as well as conference proceedings in representation and urban planning disciplines. He is actively involved in research projects, including the EU-funded MAINCODE project on urban climate shelters and multiple commercial consulting contracts as Scientific Manager, focusing on urban and social regeneration. His teaching responsibilities include courses in engineering drawing, digital modeling, and graphic language across Civil, Environmental, and Building Engineering programs. Bocconcino collaborates with researchers such as Mariapaola Vozzola, Giorgio Garzino, Martino Pavignano, and Fabio Manzone. His affiliations with ERC sectors highlight expertise in civil engineering, computational modeling in culture, computer graphics, design, and information systems.

Francesca IevaView profile

Associate Professor

• Biostatistics
• Health Data Science
• Statistical Learning
• +5 more

Francesca Ieva serves as Associate Head of the Health Data Science Centre at Human Technopole and Associate Professor of Statistics at the Politecnico di Milano, where she leads the MOX - Modeling and Scientific Computing laboratory within the Department of Mathematics. She also co-leads the Di Angelantonio & Ieva Group, a collaborative research team focused on integrating molecular data with clinical information to advance precision medicine. Dr. Ieva received her PhD in Mathematical Models and Methods for Engineering in 2012. Her academic journey has positioned her at the forefront of health data science, bridging statistical methodology with biomedical applications. Her research focuses on statistical learning in biomedical sciences, with particular emphasis on developing advanced models for integrating complex clinical data to inform predictions in clinical decision-making. Francesca's work spans multiple domains including: Development of novel survival analysis techniques for healthcare applications Integration of DNA methylation data for cardiovascular risk prediction Application of machine learning to clinical pathway analysis in mental health Innovative approaches to polygenic risk scoring incorporating SNP interactions Development of radiomics models for cancer prognosis and treatment response Analysis of Dr. Ieva's recent publications reveals a strong trend toward federated learning approaches in healthcare data analysis, reflecting growing concerns about data privacy while maintaining analytical power. Her work increasingly integrates multiple data types (genomic, epigenetic, imaging, and clinical records) to create more comprehensive patient profiles for precision medicine applications. A notable pattern is her focus on translating complex statistical models into clinically actionable tools that can directly inform patient care and healthcare policy decisions. As Associate Head of the Health Data Science Centre at Human Technopole, Dr. Ieva oversees a research group comprising epidemiologists, statisticians, and data scientists working collaboratively to bridge the gap between genotype and phenotype. The Di Angelantonio & Ieva Group develops innovative studies that integrate biomolecular data with medical records, imaging, and portable medical device data. Her team utilizes both existing healthcare data and newly generated population-based studies, applying novel analytical methods that integrate clinical epidemiology with health research to improve data interpretation. Dr. Ieva actively mentors several PhD students including Andrea Lampis, Katherine Marie Logan, Alessia Mapelli, Michela Carlotta Massi, and Andrea Mario Vergani. Her research has been supported by collaborations with major healthcare institutions and likely receives funding from research councils and health technology initiatives, though specific grant details are not provided in the available information.

• Hepatology
• Experimental Medicine
• Applied Immunology
• +13 more

Professor Ellie (Eleanor) Barnes is a leading academic in hepatology and experimental medicine at the University of Oxford, affiliated with the Nuffield Department of Medicine, the Translational Gastroenterology Unit, the Ludwig Institute for Cancer Research, the Jenner Institute, and the Oxford NIHR Biomedical Research Centre. She leads a multidisciplinary research group focused on applied immunology in liver disease, including cancer and viral hepatitis. Her research spans vaccine development for hepatitis C and B, early detection of hepatocellular carcinoma (HCC), pathogenesis of IgG4-related disease, and stratified medicine approaches in chronic liver conditions. She leads major national and international consortia such as STOP-HCV and DeLIVER, integrating viral sequencing, host genetics, immune profiling, and biomarker discovery. The recent publications highlight a strong focus on HCV persistence post-treatment, metabolic liver disease in HBV, and innovative clinical trials for HCV elimination. Her work emphasizes translational impact, combining cutting-edge genomics, immunology, and clinical experimental medicine. Fellow of the Academy of Medical Sciences (FMedSci) Fellow of the Royal College of Physicians (FRCP) Prof. Barnes oversees a portfolio of clinical studies as NIHR CLRN lead for hepatology in the Thames Valley and collaborates with industry partners like Vaccitech. Her team also develops non-invasive liver imaging and novel blood-based DNA detection methods (e.g., TAPS) for early cancer diagnosis. She mentors a research group and contributes to science communication and gender equity in STEM.