Find Academic Supervisors

• Applied Geophysics
• Glaciology
• Geophysical Data Integration
• +3 more

Alberto Godio is a Full Professor at the Politecnico di Torino, affiliated with the Department of Environmental, Land and Infrastructure Engineering (DIATI). He coordinates Latin America relations under the University Strategic Plan and is a member of the Interdepartmental Center Photonext for Applied Photonics. His research focuses on Applied Geophysics, Geophysical Data Integration, and Glaciology. He graduated in Mining Engineering (1988) and earned a PhD in Underground Resources Engineering (1993). He has been an Associate Professor (2005-2024) and Full Professor (2024-present) at PoliTO, leading projects funded by EU (FP7, LIFE, Horizon), MIUR (PRIN, FIRB), and regional bodies. His recent publications explore geophysical methods for subsurface modeling, glacial systems, and environmental remediation, with keywords spanning Geophysics, Hydrology, and Climate Science. His work emphasizes ground-penetrating radar, seismic noise analysis, and hybrid modeling techniques. Scientific awards include the Best Paper Award at the Near Surface Geoscience Conference (2008). He has supervised PhD students on fiber optic sensors and GPR optimization, advised projects on digital twins, and led EU-funded research on biogas enhancement in landfills.

Emanuele CrisostomiView profile

Associate Professor

• Smart Grids
• Electric Vehicles
• Control Systems
• +2 more

Emanuele Crisostomi is Associate Professor of Electrical Systems at the University of Pisa's Department of Energy, Systems, Territory and Constructions Engineering. He holds PhD and graduate degrees in Automation Engineering from the University of Pisa, with research visits to University of Cambridge, University of Leicester, and Hamilton Institute. His research bridges control theory, energy systems, and smart mobility. His research integrates: Smart grid control and renewable energy integration Electric vehicle charging infrastructure and routing algorithms Urban traffic modeling and optimization Nonlinear system dynamics and Lyapunov stabilization Machine learning applications in energy systems Crisostomi's publications demonstrate consistent innovation in electric vehicle-grid integration, with recent focus on predictive charging control, highway EV circulation patterns, and hydropower monitoring. His work shows increasing application of deep reinforcement learning for multi-regional power systems and hybrid network models for infrastructure monitoring. He leads research on IoT-enabled energy efficiency in buildings and contributes to epidemic modeling through network science. Current projects examine battery sizing optimization, charging station scheduling under uncertainty, and synergetic building management systems integrating environmental monitoring with energy conservation.

• Computational Fluid Dynamics
• Energy Harvesting
• Fluid Dynamics
• +4 more

Simone Salvadori is an Associate Professor at the Department of Energy (DENERG) of Politecnico di Torino, specializing in Computational Fluid Dynamics, Heat Transfer, and Turbomachinery. His research intersects Aerospace Engineering , Propulsion , and Energy Sustainability (SDG 7 & 9). He leads the EnaTech-RDE project on CO2-Free Rotating Detonation Engines and contributes to H2POWRD for hydrogen propulsion systems. Editorial roles: Guest Editor for Frontiers in Aerospace Engineering and Applied Sciences , Member of Energies Editorial Board. Organizing Committee Member for 8th ART Summer School (2024) and multiple international conferences including Aerospace Europe Conference 2023. His research focuses on pressure gain combustion , film cooling optimization , and machine learning-driven turbine design . He employs advanced computational tools to analyze unsteady flows, cavity dynamics, and exhaust systems in gas turbines, with applications to hydrogen/natural gas blends and rotating detonation engines . Salvadori supervises PhD students in projects related to high-pressure turbine vane coupling , cooling channel optimization , and exhaust flow control . He collaborates with the TEP Research Group and networks like ETN Global (Energy & Turbomachinery Network).

• Fluid Mechanics
• Sediment Transport
• Fluvial Morphodynamics
• +7 more

Marco Tubino is a Full Professor in the Department of Civil, Environmental and Mechanical Engineering at the University of Trento, where he serves as Department Director since 2012. Previously, he was Dean of the Faculty of Engineering (2005-2012) and has held academic positions since 1990, including Associate Professor at the University of Genoa before joining Trento in 1994. Education: 1977: Diploma di Maturità Classica, Liceo Statale "Andrea D'Oria", Genoa 1982: Laurea in Chemical Engineering (with honors), University of Genoa 1986: PhD in Hydrodynamics, University of Padua Research Focus: Tubino's work centers on fluid mechanics and fluvial morphodynamics , with expertise in sediment transport, tidal hydrodynamics, ecohydraulics, and environmental fluid mechanics. His research integrates field observations, mathematical modeling, and experimental studies to address river bifurcations, meandering dynamics, debris flows, and climate change impacts on alpine systems. Recent work emphasizes AI applications for river prediction and waste management sustainability. Publication Trends: His 2023-2025 publications reveal intensified focus on river bifurcation mechanics, permafrost-affected Arctic streams, and machine learning for meander migration prediction. Key themes include sediment partitioning in deltas, climate change impacts on fluvial systems, and life-cycle assessment of waste-to-energy technologies, reflecting growing interdisciplinary integration with environmental engineering. Scientific Recognition: Wiley-Blackwell Award for best paper in Earth Surface Processes and Landforms (2010) Academic Leadership: Tubino coordinates the Environmental Fluid Mechanics and Morphodynamics Research Group (GIAMT) and has directed Trento's PhD program in Environmental Engineering (2000-2007). He has secured numerous research grants for environmental impact studies, fluvial modeling projects, and international collaborations including dual-degree programs with Karlsruhe University. Research Infrastructure: Leads the GIAMT group specializing in experimental flume studies, numerical modeling of river systems, and field investigations of braided and meandering rivers, with recent expansions into AI-driven morphodynamic prediction and climate change impact assessment.

Marianna SuccurroView profile

Associate Professor

• Applied Microeconomics
• Industrial Organization
• Environmental Economics
• +5 more

Marianna Succurro serves as Associate Professor in the Department of Economics, Statistics and Finance (DESF) at the University of Calabria, Italy, where she has been faculty since 2010 following her PhD completion at the same institution. Her academic journey includes a Master's degree from Bocconi University (2002) and extensive postdoctoral research experience. Education: Master Degree in Economics, Bocconi University, 2002 PhD in Economics, University of Calabria, 2004 Her research program bridges applied microeconomics with industrial organization, environmental economics, and tourism studies through rigorous econometric analysis. Current investigations focus on green innovation competitiveness indices, regulatory impacts on SME digital transformation, and tourism-driven development in Southern Italy. She examines how environmental policies, banking structures, and digital adoption influence firm dynamics and regional growth. Analysis of her 2019-2025 publications reveals three dominant threads: (1) Environmental economics research increasingly centers on quantifiable sustainability metrics; (2) Banking studies emphasize institutional heterogeneity during crises; (3) Tourism economics investigates cultural heritage as economic catalyst. Her methodological approach consistently combines theoretical frameworks with empirical validation using Italian and European datasets. Scientific Recognition: Multiple PostDoc fellowships from Italian research institutions Active referee for international economics journals Member of prominent academic societies including SIE (Italian Economic Society) She advises graduate students while leading research within DESF's 'Crescita, risorse ed ambiente' group. Current projects investigate green innovation policy effectiveness and digital transformation barriers for regional SMEs. Her teaching portfolio includes advanced courses on digital markets and industrial economics across multiple graduate programs. Research Infrastructure: She directs the 'Laboratorio di Analisi Economica' where empirical work on environmental economics and firm dynamics is conducted, collaborating closely with the department's research group on sustainable growth and resource economics.

• Structural and Tectonic Geology
• Seismic Hazard Assessment
• Fault Mechanics
• +3 more

Giovanni Camanni is an Associate Professor at the Department of Chemical and Geological Sciences, University of Modena and Reggio Emilia. His work focuses on structural geology, fault mechanics, and seismic hazard assessment, with extensive research in fault segmentation, reactivation processes, and 3D geological modeling. Research Interests: Structural geology, tectonic inheritance, fault kinematics, petrophysical reservoir characterization, and volcano-tectonic processes. Teaching: Courses on Seismic Sources and Microzonation , Structural Geology and Tectonics , and Geological Survey , covering advanced fault mapping, displacement analysis, and field methodologies. Techniques: Utilizes 3D seismic reflection data, photogrammetry, unsupervised learning algorithms (DBSCAN/OPTICS), and U-Pb dating for fault and reservoir studies. Applications: Findings contribute to seismic risk mitigation, fluid flow prediction in fractured reservoirs, and urban subsidence management, particularly in southern Italy and Taiwan. Recent Publications (2020-2025): Advanced understanding of fault zone architecture in dolostones, displacement transfer mechanisms in relay zones, Wilson cycle fault reactivation, and multidisciplinary approaches to ground deformation studies.

• Optimal Transport
• Partial Differential Equations
• Mean Field Games
• +3 more

Alpár R. Mészáros is a Full Professor at Durham University's Department of Mathematical Sciences. His research focuses on optimal transport, partial differential equations, and mean field games. He has organized conferences such as the 2025 Durham Symposium on Mean Field Games and contributed to events like the LMS Invited Lecture Series in 2023. Mészáros holds a PhD in Mathematics and has authored numerous papers on topics including displacement monotonicity, master equations, and cross-diffusion systems. His work bridges theoretical mathematics with applications in control theory and stochastic processes. Education: PhD thesis on A variational approach to second order mean field games with density constraints (2015), MSc thesis on BV Estimates in Optimal Transportation (2015). Research interests span optimal transport theory, nonlinear PDEs, and their interplay with game theory and probability. Key contributions include analysis of mean field games master equations, convergence rates for particle systems, and well-posedness results for Hamilton-Jacobi-Bellman equations. His publications reflect a focus on monotonicity conditions, conservation laws, and stabilization in dynamic systems. Collaborations include work with leading researchers like Wilfrid Gangbo, Filippo Santambrogio, and Charles Mou. He actively contributes to the academic community through organizing workshops and advancing theoretical frameworks in applied mathematics.

• Viticulture
• Precision Agriculture
• Plant Physiology
• +5 more

Andrea Pitacco is an Associate Professor in the Department of Agronomy, Food, Natural Environment and Energy (DAFNAE) at the University of Padova, Italy. His academic field is AGR/03 (Arboriculture and Tree Cultivation), with research focused on viticulture and precision agriculture. Based at the Agripolis campus in Legnaro (Padova), he maintains an active research profile in plant-environment interactions. Dr. Pitacco's research spans multiple dimensions of modern viticulture, with particular emphasis on carbon and water flux dynamics in vineyard ecosystems. His work integrates micrometeorological techniques, remote sensing, and physiological approaches to address climate change impacts on grapevine production. Key research areas include: Carbon footprint analysis and carbon farming potential in vineyards Effects of climate extremes on grapevine physiology Microclimate modification through protective netting systems Soil management impacts on erosion and greenhouse gas emissions Plant-pathogen interactions under abiotic stress conditions His publication record demonstrates strong methodological expertise in eddy covariance measurements and turbulent flow characterization within vineyard canopies. The research output shows consistent focus on Mediterranean agricultural systems with practical applications for sustainable viticulture. Dr. Pitacco actively contributes to understanding how vineyards function as carbon sinks/sources and how management practices can optimize environmental performance while maintaining productivity. His work connects fundamental plant physiology with practical agricultural applications in changing climatic conditions.

Annalisa CroceView profile

Professor

• Entrepreneurship
• Venture Capital
• Business Angels
• +7 more

Annalisa Croce is a Full Professor at the Graduate School of Management, Politecnico di Milano, where she teaches courses including Business Data Analytics and Economia e Organizzazione Aziendale (Business Economics and Organization) at undergraduate and graduate levels since 2014. She serves as Director of the Executive MBA Part Time program and Teaching Area Coordinator for Finance. Her educational background includes: PhD in Management Economics and Industrial Engineering, Politecnico di Milano Master of Science in Management Engineering, Politecnico di Milano Professor Croce's research specializes in empirical analyses of entrepreneurial finance, with core expertise in venture capital, business angel investments, and corporate governance in high-tech firms. Her work spans corporate finance dynamics, innovation economics, efficiency estimation across sectors, and emerging fields like social impact finance and climate finance. She employs diverse empirical methodologies to examine financing mechanisms, ownership structures, and innovation determinants in entrepreneurial ventures. Analysis of her 15 most recent publications reveals intensifying focus on gender diversity in venture capital, internationalization of angel investments, cleantech policy frameworks, and digital transformation in entrepreneurial finance. The trajectory shows growing integration of machine learning approaches and heightened attention to sustainability themes, particularly climate finance and social impact investing since 2021. Her honors include: Gate2Growth 2006 Second Best Paper Award for 'Venture Capital and the Investments of New Technology Based Firms' European Community Short-Term Scientific Mission grant (COST-STSM-IS0604-06244) at Universidad Complutense de Madrid Professor Croce directs the Bureau of Entrepreneurial Finance and serves on the Scientific Committee of Politecnico di Milano's Observatory of Climate Finance. She holds extensive editorial responsibilities including Board of Review membership for Journal of Business Venturing, Editorial Review Board for Entrepreneurship Theory and Practice, and guest editorship for Technological Forecasting and Social Change special issue on digital entrepreneurial finance. Her peer review work spans top journals in economics, finance, and management.

• Fluid Dynamics
• Computational Fluid Dynamics
• Hypersonic Flows
• +5 more

Giuseppe Pascazio serves as a Full Professor in the Department of Mechanics, Mathematics & Management at the Polytechnic University of Bari, Italy. His research spans computational fluid dynamics with dual focus on aerospace applications and biomedical engineering, particularly in hypersonic flow phenomena and microwave ablation technologies for cancer therapy. His primary research interests include fluid dynamics, computational methods for high-enthalpy flows, thermochemical non-equilibrium modeling, turbulent boundary layer analysis, and biomedical device optimization. Pascazio develops advanced numerical techniques including high-order schemes, state-to-state kinetics implementations, and GPU-accelerated solvers to address complex flow physics in atmospheric entry and medical applications. His work bridges fundamental gas dynamics with practical engineering solutions for spacecraft thermal protection and minimally invasive cancer treatments. Analysis of his recent publications (2021-2025) reveals three dominant research thrusts: (1) High-fidelity simulation of hypersonic flows with detailed chemistry using state-to-state kinetics, (2) Development of robust numerical methods for shock-capturing in thermochemically non-equilibrium flows, and (3) Biomedical applications focusing on microwave ablation probe design and microcapsule transport in vascular systems. His aerospace work emphasizes atmospheric reentry physics while biomedical research targets cancer therapy optimization. Pascazio has participated in significant research projects including "PrInCE" (Innovative Processes for Energy Conversion) and "INNOVHEAD" (Advanced technologies for reduction of polluting emissions in Heavy Duty engines). His collaborative work involves industrial partnerships in aerospace and medical device sectors, though specific grant details beyond project names aren't provided. He maintains active research output with over 50 publications demonstrating consistent contributions to high-speed aerodynamics and biomedical fluid dynamics.

• Aerodynamics
• Aeroacoustics
• Renewable Energy Systems
• +4 more

Delibra Giovanni is an Associate Professor at Sapienza University of Rome, specializing in aerodynamics, aeroacoustics, and renewable energy systems. His research focuses on optimizing turbomachinery performance, including axial fans, wind turbines, and hydrogen storage systems. He employs advanced computational fluid dynamics (CFD) and machine learning techniques to address challenges in renewable energy integration, thermal management, and noise reduction. Key research areas include: Wind energy systems and offshore wind farm design Hydrogen storage and safety in green energy applications Aeroacoustic control in industrial fans and turbines CFD-based optimization of heat exchangers and cooling systems Recent work emphasizes the integration of photovoltaic and biomass systems in renewable energy communities, as well as experimental validation of wave energy turbines. His publications highlight innovations in fan blade design, leakage modeling, and multi-objective optimization frameworks for sustainable energy infrastructure. Collaborations involve both academic institutions and industry partners, focusing on real-world applications such as tunnel ventilation systems and Mediterranean island energy solutions. Giovanni's contributions bridge theoretical modeling with practical engineering challenges in the transition to clean energy.

• Fluid Dynamics
• Car Aerodynamics
• Flow Control
• +5 more

Gaetano Iuso is a Full Professor in the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin, and a member of the Interdepartmental Center Ec-L - Energy Center Lab. His academic career spans multiple doctoral programs in Aerospace Engineering, Mechanical Engineering, and Fluid Dynamics from 2003 to present, demonstrating sustained academic leadership. Professor Iuso's research focuses on fluid dynamics with emphasis on car aerodynamics, flow control, turbulent flows, and wind tunnel investigations. His work spans both fundamental studies of turbulent and separated flows and applied research in aeronautical and automotive fields. He employs experimental methodologies using wind tunnels and advanced measurement techniques including optical anemometry (PIV and StereoPIV), hot-wire anemometry, pressure measurement techniques, and wall friction stress analysis. Recent research trends show increasing integration of machine learning with traditional flow control techniques, particularly for closed-loop control of bluff body wakes. His work combines passive manipulation methods (riblets) with active manipulation using jets (continuous, intermittent, synthetic) and plasma actuators. These approaches have applications in reducing aerodynamic drag for vehicles and improving wind turbine performance, contributing to climate action goals as noted in his profile. Professor Iuso has supervised numerous PhD students including Edoardo Fracchia, Sara Montagner, Enrico Amico, and Alessandro Grava. He has led multiple research projects funded by competitive tenders including MechaTwing (2024-2027) and WATACO (2023-2025), as well as commercial research contracts in aerodynamic characterization for antennas, wind rotors, and automotive applications. His research is conducted through the Flow Control & Aeroacoustics Group at the Polytechnic University of Turin's Department of Mechanical and Aerospace Engineering. The group utilizes advanced wind tunnel facilities and measurement equipment for experimental fluid dynamics research, with strong connections to European research initiatives and industrial applications.

• Environmental Engineering
• Air Quality
• Sustainability
• +4 more

Dr. Grazia Ghermandi is a Senior Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Engineering 'Enzo Ferrari'. Her expertise spans environmental engineering, air quality modeling, and sustainability. She leads research on pollutant dynamics, urban environmental management, and climate change mitigation, with notable contributions to vehicular emissions frameworks (e.g., VERT) and satellite-based urban heat island studies. Her work integrates advanced modeling techniques, citizen science, and interdisciplinary approaches. Teaching: She teaches courses like 'Transversal Skills on Sustainability', 'Environmental Health Engineering', and 'Air Quality and Pollutant Dynamics', emphasizing cross-disciplinary sustainability across engineering and environmental sciences. Over 950 students annually engage with her sustainability modules, reflecting her commitment to education. Research: Dr. Ghermandi's research focuses on air pollution, urban microplastics, and emission mitigation strategies. Key projects include analyzing black carbon sources in urban hotspots and developing low-cost sensor networks for intra-urban pollution monitoring. She co-leads initiatives like the MicroTRACES project on airborne microplastics and TRAFAIR for traffic emission forecasting. Labs/Teams: Her research group collaborates on environmental modeling tools (e.g., PMSS, GRAL) and interdisciplinary sustainability education. She contributes to regional environmental policy through emission scenario studies (e.g., hydrogen vs. electric vehicles' PM10 impacts). Grants/Projects: Funded projects include the European TRAFAIR and MicroTRACES initiatives, exploring urban air quality solutions and innovative sensor technologies. Her work bridges academic research with practical applications for cleaner urban environments.

• Big data
• Data science
• Data analytics
• +12 more

Paolo Garza is an Associate Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin, where he also serves as Coordinator of the College of Computer, Film and Mechatronics Engineering. He is a member of the DBDM research group and the SmartData@PoliTO laboratory, and actively contributes to academic governance through roles in teaching coordination and PhD program committees. Education: Bachelor’s in Computer Engineering, Polytechnic University of Turin (2001) PhD in Computer and Systems Engineering, Polytechnic University of Turin (2005) His research centers on data science, big data analytics, data mining, and machine learning , with applications in emergency management, real-time communications, Earth observation, and cybersecurity. He has led and participated in numerous national and commercial research projects, including AI4CTI and NODES (PNRR), and has collaborated with industry partners like Cisco Systems. His work bridges theoretical algorithm development and practical deployment in critical systems. The recent publications reflect a strong trend toward multimodal AI, crisis informatics, and intelligent networking . Articles span computer vision for environmental monitoring (e.g., burned area detection, canopy estimation), ML for real-time communication quality, multimodal document understanding, and crisis response systems. His team leverages deep learning, transformers, and vision-language models across diverse domains. Scientific Service: Associate Editor, Knowledge and Information Systems (2024–) Associate Editor, Expert Systems with Applications (2022–) General Co-Chair, IEEE AICT Conferences (2022, 2023) He mentors several PhD students and leads funded research initiatives focused on AI for sustainable industry and cyber threat intelligence. His teaching includes graduate courses on big data processing, distributed architectures, and data science lab methods. He has also directed commercial training programs and research contracts in machine learning and cybersecurity. Research Labs & Teams: DBDM - Database and Data Mining Group (DAUIN) SmartData@PoliTO - Big Data and Data Science Laboratory LAB 5 - Research Laboratory (DAUIN)

• Machine Learning
• Artificial Intelligence
• Computer Vision
• +3 more

Alessandro Betti is an Assistant Professor of Computer Science at IMT Lucca within the SySMA research unit. Previously, he held postdoctoral positions at Université Côte d’Azur (Maasai team) and Università di Siena (Siena Artificial Intelligence Lab/SAILab). He earned his Ph.D. in Computer Science (Smart Computing) from the Universities of Florence, Pisa, and Siena in 2020, and a Master’s in Theoretical Physics from the University of Pisa, focusing on large-N CP(N-1) sigma models and solitonic solutions related to QCD confinement. His research integrates theoretical foundations of machine learning with practical applications in computer vision. Key areas include data stream processing, online continual learning, and motion-invariant visual feature extraction using deep architectures. Current work explores optimal control principles for learning dynamics and formalizes a transport equation derived from discrete mancala games. He co-authored two books: Machine Learning: A Constraint-Based Approach (2023) and Deep Learning to See (2022), both foundational texts in their fields. His publications span journals like Neurocomputing and Frontiers in Artificial Intelligence , with contributions to conferences such as NeurIPS and AAAI. Research highlights include developing variational calculus frameworks for learning laws, neural time-reversed Riccati equations, and foveated neural computation models inspired by biological vision systems. Betti collaborates with institutions like SAILab and Maasai, focusing on interdisciplinary projects blending physics-inspired mathematics with AI. His work bridges theoretical rigor and applied challenges in dynamic, real-world data environments.