Find Academic Supervisors

• Econometrics
• Environmental Economics
• Climate Change
• +6 more

Carlo Fezzi is an Associate Professor at the Department of Economics and Management, University of Trento. His research focuses on econometrics, environmental economics, and climate change impacts, particularly in policy design and integrated modeling. Teaches Applied Econometrics and Econometrics for Behavioral and Applied Economics and Mathematics programs. Leads workshops in the Market Analysis Laboratory (G3-2), emphasizing data-driven market understanding. Fezzi’s research integrates econometric methods with environmental policy, addressing biodiversity, climate adaptation, and energy economics. Recent work explores land use optimization under climate change, electricity demand forecasting, and coral reef valuation. His publications span topics like carbon trading, agro-environmental modeling, and non-market valuation techniques. Fezzi’s 15 most recent articles highlight trends in econometric applications to environmental challenges, including climate policy, energy demand modeling, and biodiversity conservation. His methodologies combine linear/nonlinear models, neural networks, and spatial analysis to address global issues like food security, carbon emissions, and ecosystem resilience.

Ciriaco D'AmbrosioView profile

Researcher

• Combinatorial Optimization
• Heuristics
• Metaheuristics
• +4 more

Ciriaco D'Ambrosio is a Research Fellow at the Department of Mathematics, University of Salerno, specializing in combinatorial optimization and its applications to wireless sensor networks. He teaches courses in operations research and maintains regular reception hours for students on Tuesdays (3:00-5:00 PM) and Wednesdays (4:00-5:00 PM), conducted both in-person and via Microsoft Teams. Education: PhD in Computer Science, University of Salerno (2015) - Thesis: models and algorithms for coverage in Wireless Sensor Network Laurea cum laude in Computer Science, University of Salerno (2011) Research Focus: D'Ambrosio specializes in combinatorial optimization, developing heuristics, metaheuristics, and math-heuristics for mixed integer linear programming problems. His work addresses challenging optimization problems in wireless sensor networks, particularly network lifetime maximization under coverage, connectivity, and interference constraints. His research bridges theoretical computer science with practical applications in sensor network design, seismic monitoring systems, and resource allocation problems. His methodology often combines exact approaches with sophisticated heuristic techniques to solve computationally difficult problems. Publication Trends: Analysis of D'Ambrosio's publications (2017-2025) reveals a progression from foundational work on sensor network lifetime problems toward increasingly sophisticated algorithmic approaches for combinatorial optimization. His recent work shows expansion into seismic monitoring applications while maintaining strong focus on knapsack problem variants and network optimization. His publications appear in high-quality journals including Soft Computing, Computers & Operations Research, and Networks, demonstrating both theoretical rigor and practical relevance of his research. Professional Activities: Member of the Italian Operations Research Society (AIRO) Associate Editor for Soft Computing, A Fusion of Foundations, Methodologies and Applications Active collaborator with researchers including Andrea Raiconi, Raffaele Cerulli, and Francesco Carrabs Research Infrastructure: D'Ambrosio works within the Department of Mathematics at University of Salerno's Fisciano Campus (Building F2, Room 040). His research contributes to the university's growing expertise in computational optimization and has practical applications in environmental monitoring systems like SEISMONOISY.

Francesco MalaspinaView profile

Professor

• Vector Bundles
• Projective Algebraic Geometry
• Commutative and Non-Commutative Algebra
• +3 more

Francesco Malaspina is a Full Professor at the Department of Mathematical Sciences (DISMA) of the Polytechnic University of Turin. His research focuses on vector bundles , projective algebraic geometry , and ACM (Arithmetically Cohen-Macaulay) bundles , particularly on varieties like quadrics, Grassmannians, and multiprojective spaces. He has contributed extensively to splitting criteria for vector bundles, cohomology properties, and moduli space classification. His work bridges abstract algebraic geometry with applications in mathematical physics and topological methods. Key research areas : Vector bundles, Ulrich bundles, instanton bundles, Castelnuovo-Mumford regularity, cohomology vanishing, projective varieties. Publications include studies on Ulrich bundles on Segre-Veronese varieties, instanton bundles on flag varieties, and cohomological properties of vector bundles. His articles often explore the interplay between algebraic structures and geometric intuition, emphasizing aesthetic-driven mathematical inquiry. Teaching spans linear algebra, geometry, and advanced topics for aerospace and pure/applied mathematics programs. He has also engaged in science communication, notably through his book Seven Simple Lessons in Mathematics; on Love, Death, Football, Meringues, and Geometry , which connects abstract math to humanistic themes.

Gabriele BernardiniView profile

Researcher

• Urban Risk Assessment
• Built Environment Safety
• Disaster Management
• +4 more

Gabriele Bernardini is a Researcher at the Department of Civil, Building and Architectural Engineering within the Faculty of Engineering at Università Politecnica delle Marche (UNIVPM) in Ancona, Italy. His office is located at via brecce bianche 12, Ancona in the DICEA, Construction Section (quota 150), where he holds office hours on Wednesdays from 9-11 AM. His work focuses on the intersection of built environment safety, risk assessment, and innovative technological applications for urban resilience. Dr. Bernardini's research interests center on multi-risk assessment and mitigation in urban built environments, particularly addressing flood risks, terrorist threats, and heatwave vulnerabilities in historical contexts. His work employs innovative methodologies including virtual reality simulations, behavioral design approaches, and data-driven predictive models. He has developed frameworks for measuring user exposure and vulnerability, optimizing evacuation paths, and creating integrated wayfinding systems for emergency situations. His research bridges the gap between theoretical risk assessment and practical implementation in real-world urban settings, with a special focus on preserving historical character while enhancing safety. Analysis of his recent publications (2021-2025) reveals a consistent focus on multi-risk scenarios in urban environments, particularly examining how different hazards interact in historical settings. His work demonstrates increasing sophistication in methodology, moving from basic risk assessment to integrated multi-risk frameworks that consider user behavior, environmental factors, and technological solutions. A significant portion of his research applies virtual reality and extended reality technologies to safety training and evacuation planning, showing the evolution from theoretical models to practical applications with real-world testing. His research has practical applications across multiple domains including urban planning, emergency management, and building maintenance. Through his work on automatic detection systems using maintenance requests and predictive management approaches, he's contributing to more responsive building management practices. His case studies on specific locations like Matera demonstrate the translation of theoretical frameworks into context-specific solutions for historic urban environments.

Stefano BraccoView profile

Associate Professor

• Power Systems
• Microgrids
• Renewable Energy Integration
• +3 more

Stefano Bracco is an Associate Professor in the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) at the University of Genoa, Italy, serving on both the Department Board and the School Council of the Polytechnic School. He teaches advanced courses including Energy Transition and Power Systems Management for Master's programs in Energy Engineering, Management for Energy and Environmental Transition (MEET), and Engineering for Natural Risk Management, covering critical topics in sustainable power systems and infrastructure modeling. His research focuses on power systems engineering with emphasis on microgrid optimization, renewable energy integration, and electric vehicle infrastructure. Key contributions include energy management systems (EMS) for active/reactive power control in microgrids, vehicle-to-grid/home technologies, and sustainable energy community design. His work addresses grid stability challenges, economic optimization of distributed energy resources, and resilience enhancement in critical facilities through advanced mathematical modeling and real-world case studies. Analysis of his 15 most recent publications (2024-2025) reveals consistent application of mixed-integer linear programming (MILP) for microgrid optimization across diverse contexts including university campuses, industrial sites, and Italian municipalities. Dominant trends include integration of electric vehicle charging infrastructure with renewables, uncertainty handling in renewable communities, and multi-scale control frameworks for automated transportation. His research bridges theoretical optimization with practical implementation, frequently using the Savona University Campus as a living laboratory for sustainable energy solutions. No scientific awards were mentioned in the provided information. The available text did not specify any advised students or research grants, though his extensive publication record suggests active research supervision and project leadership. While no dedicated laboratories are explicitly attributed to him, his work frequently involves the Savona University Campus infrastructure, including the CN MOST Laboratory and microgrid test facilities, indicating collaboration with existing university energy research platforms.

• Harmonic Analysis
• Microlocal Analysis
• Time-Frequency Analysis
• +3 more

Bengt Patrik Martin Wahlberg is an Associate Professor in the Department of Mathematical Sciences (DISMA) at Politecnico di Torino. His contact information includes phone number +39 0110907531 and email patrik.wahlberg@polito.it. His research interests focus on several advanced areas of mathematical analysis: Harmonic analysis Microlocal analysis Time-frequency analysis Partial differential equations Phase space analysis and applications to quantum mechanics Wahlberg is a member of the Analysis and Quantum Theory Group (also referred to as Quantum Analysis and Theories) within DISMA. His research primarily involves microlocal analysis, harmonic analysis, time-frequency analysis, and linear partial differential equations, with applications to quantum mechanics. His recent publications demonstrate a consistent focus on wave front sets, Gabor analysis, and the propagation of singularities in various mathematical contexts. The research shows strong connections between harmonic analysis, time-frequency methods, and partial differential equations, particularly Schrödinger equations. Wahlberg teaches Mathematical Analysis I for the Automotive Engineering program from academic year 2021/22 through 2025/26, Mathematical Methods for Engineering for Computer Engineering (2020/21), and Gabor Frames and Modulation Spaces for the PhD program in Mathematical Sciences (2025/26). He is also a member of the College of Civil and Building Engineering and the College of Mathematical Engineering.

• Numerical Analysis
• Numerical Methods for Partial Differential Equations
• Virtual Element Methods
• +14 more

Stefano Scialo' is an Associate Professor in the Department of Mathematical Sciences "G.L. Lagrange" (DISMA) at the Polytechnic University of Turin. He is also a member of the Interdepartmental Center Ec-L - Energy Center Lab and serves as the contact person for the Bachelor's Degree Program in Mathematics for Engineering (L3). His academic journey began with a Master’s in Aerospace Engineering (2007), followed by a PhD in Mathematics for Engineering (2014), both from the same institution. After his PhD, he held postdoctoral and Assistant Professor positions at DISMA before being promoted to Associate Professor. Education: PhD in Mathematics for Engineering, Politecnico di Torino, 2014 Master in Aerospace Engineering, Politecnico di Torino, 2007 His research focuses on advanced numerical methods for partial differential equations, particularly in the context of complex multiscale and multiphysics systems. Key areas include the Virtual Element Method (VEM), domain decomposition techniques based on PDE-constrained optimization, and the simulation of flows in fractured porous media. He has made significant contributions to 3D-1D coupled problems, with applications in geosciences and biomedical modeling such as tumor-induced angiogenesis. His methodological work emphasizes robustness, scalability, and applicability to non-conforming and polygonal meshes, enabling high-performance computing solutions. The trend in his recent publications reveals a strong emphasis on developing and analyzing mixed virtual element methods, optimization-based coupling strategies, and their applications to engineering and biological systems. His work bridges theoretical numerical analysis with practical implementations in fluid dynamics and subsurface flow. Scientific Contributions: Principal Investigator of the FREYA project (2023–2026) on hybrid numerical approaches for fault reactivation. Coordinator of the INdAM-GNCS research project (2018–2019). Member of the research group "Numerical Analysis and Scientific Computing" at DISMA. Stefano Scialo' actively supervises doctoral students, including Matteo Trombini in the PhD program in Mathematical Sciences. He teaches a range of courses such as Advanced Scientific Programming in MATLAB, Numerical Methods and Scientific Computing, and specialized topics on Virtual Element Methods. He also contributes to curriculum development and academic governance through roles in doctoral colleges and degree program committees, including those for Mathematical, Mechanical, Aerospace, and Automotive Engineering. Laboratories and Research Groups: Member, Interdepartmental Center Ec-L - Energy Center Lab Research Group: Numerical Analysis and Scientific Computing (DISMA)

• Differential Geometry
• Exterior Differential Systems
• Integrable Systems
• +7 more

Emilio Musso is a Full Professor in the Department of Mathematical Sciences "GL Lagrange" (DISMA) at Politecnico di Torino, Italy. His research spans differential geometry, exterior differential systems, integrable systems, and submanifold theory, with strong applications in geometric analysis and mathematical physics. Research Interests: Differential Geometry, Conformal Geometry, Lorentzian and CR Geometry, Integrable Systems, Elasticae, Variational Problems on Curves and Surfaces. Academic Leadership: Scientific Director of the PRIN projects (2013–2016, 2019–2022) and ReCoMa (2023–2025); Scientific Manager of the Erasmus+ ECCUM project (2015–2018). External Appointments: Full Professor at Turin Polytechnic University in Tashkent (2011–2021). His research focuses on the geometric properties of curves and surfaces under conformal and pseudohermitian structures, including null curves in anti-de Sitter space, elasticae in the hyperbolic plane and 2-sphere, and Legendrian curves in the 3-sphere. He frequently employs integrable systems techniques and exterior differential systems to analyze geometric evolution equations and variational problems. The recent publications reveal a consistent focus on conformal invariants, geometric flows, CR geometry, and the interplay between differential geometry and soliton theory. His work often involves collaboration with Lorenzo Nicolodi, Álvaro Pámpano, and Gary R. Jensen. Scientific Awards: IOP Select (2015) ANASSILAOS Award (2015) Professional Service: Member of the Italian Mathematical Union (2015–2021), Interuniversity Consortium for Higher Education in Mathematics (2021), and the F. Severi Institute of Higher Mathematics (1986–2021). Former editor-in-chief (2018–2021) and editorial board member (2015–2018) of Mathematical Seminar Reports . Active participant in scientific committees of international conferences in differential geometry. Teaching and Mentorship: Longstanding involvement in doctoral programs at the University of Turin, Politecnico di Torino, and the University of L’Aquila. He has taught courses such as Linear Algebra and Geometry and Differential and Computational Geometry, and served as a collaborator in the PhD course Fundamentals of Differential Geometry . Research Groups: Functional Analysis and Differential Geometry (DISMA), with active projects in harmonic analysis, discrete differential geometry, and submanifolds in Lorentzian conformal and Cauchy-Riemann geometries.

Marco AldinucciView profile

Professor

• Parallel Computing
• High-Performance Computing (HPC)
• Cloud Engineering
• +7 more

Marco Aldinucci is a Full Professor and Head of the Parallel Computing group at the University of Torino's Computer Science Department. He leads the HPC Key Technologies and Tools (HPC-KTT) national lab under CINI, involving 38 Italian universities. His expertise spans parallel programming models, HPC systems, federated learning, and energy-efficient computing. Aldinucci has secured over €10M in EU research funding, contributed to frameworks like Fastflow and Streamflow, and pioneered initiatives like the HPC4AI lab and the CINI HPC-KTT lab. His research focuses on advancing exascale computing, cloud-HPC integration, and AI-driven medical solutions. Notable projects include the Gaia AVU-GSR solver for exascale systems and the DeepHealth Toolkit for medical AI. He has held governance roles in EuroHPC and chairs the Observatory on Trends and Applications of Supercomputing in Italy. Aldinucci’s publications (150+) address parallel algorithms, distributed learning, and sustainable HPC infrastructure. His work has been recognized with awards from HPC Advisory Council, NVIDIA, IBM, and Autodesk. Current initiatives include the Software & Integration lab at the Italian National HPC Centre (ICSC) and leadership in the OpenScience working group at Torino. His advising includes Iacopo Colonelli, whose thesis won CINI’s 2023 best award. He actively engages in EU projects, workflow systems, and standards for hybrid computing environments. Aldinucci’s labs and collaborations drive innovations in HPC portability, energy efficiency, and AI scalability.

• Neuromuscular physiology
• Synaptic plasticity
• Skeletal muscle regeneration
• +6 more

Paola Lorenzon is an Associate Professor of Physiology at the University of Trieste 's Department of Life Sciences since 2002. She coordinates the International Master's Degree in Neuroscience , serves as Coordinator of the OPBA program , and holds key roles in multiple PhD cycles including Neuroscience and Cognitive Science (XXVIII to XXXVIII cycles) and Biology (SM50). Her research focuses on neuromuscular plasticity , aging effects, and microgravity adaptation mechanisms. Education : Bachelor's in Biological Sciences and PhD in Biochemistry from University of Trieste Research Experience : University of Milan, San Raffaele Milan, University of Ljubljana, University of Bonn Her research spans three main areas: neuromuscular junction plasticity , electrostimulation protocols for muscle regeneration, and Piezo1 ion channels in mechanotransduction. Current projects funded by the Italian Space Agency (MIAG, NEMUSY) investigate muscle atrophy in spaceflight and aging. Notable collaborations include working with Annalisa Bernareggi (electrophysiology), Marina Sciancalepore (electrostimulation), and Alessandra Bosutti (project coordination). Her lab employs primary satellite cell cultures , electrophysiology , and mechanotransduction studies to explore muscle regeneration mechanisms.

• Sustainability of transport infrastructures
• Environmental impacts of pavements
• Eco-friendly materials
• +7 more

Lucia Tsantilis serves as an Associate Professor at the Department of Environment, Land and Infrastructure Engineering (DIATI) at Polytechnic University of Turin, where she also acts as Deputy Coordinator of the College of Civil and Building Engineering and is a member of the SISCON Interdepartmental Center for Safety of Infrastructures and Constructions. Her academic career focuses on sustainable transport infrastructure with emphasis on environmental impacts of pavements and development of eco-friendly materials. Dr. Tsantilis's research spans multiple areas of sustainable infrastructure, particularly focusing on assessment of environmental impacts of pavements, development of high-performance eco-friendly materials containing waste-derived additives, rheology of bituminous and non-petroleum binders, and self-healing properties of construction materials. Her work addresses critical challenges in climate change adaptation and mitigation within transportation infrastructure, aligning with UN Sustainable Development Goals 9, 11, and 13. Her recent publications demonstrate a consistent focus on sustainability metrics for road infrastructure, life cycle assessment methodologies, and innovative material solutions. The research trajectory shows increasing integration of environmental impact analysis with material science, particularly in developing sustainable alternatives for traditional asphalt materials and improving understanding of self-healing mechanisms in construction materials. Dr. Tsantilis actively supervises multiple PhD students including Davide Cimenti, Mattia Di Sessa, Aliasghar Akbari Nasrekani, and Rajab Ali Mehraban in the Civil and Environmental Engineering program. She leads significant research projects including SMASHit (2025-2027) as Scientific Manager and participates in the Green Roads project (2024-2026) as a member of the research group. Her work has practical applications in commercial research, such as the 2018 project on physico-chemical characterization of bituminous milled material.

• Decision Analysis
• Consistency
• Fuzzy sets
• +12 more

Michele Fedrizzi is a full professor of Mathematical Methods of Economics and Actuarial and Financial Sciences at the Department of Industrial Engineering, University of Trento. He holds academic affiliations across multiple institutions, including the Faculty of Economics (University of Trento), Faculty of Computer Science (University of Bolzano), Department of Economics and Management, and doctoral programs in Social Sciences and Materials, Mechatronics and Systems Engineering. His research focuses on decision analysis, fuzzy systems, and consensus modeling in group decision-making. Past research included statistical distributions, fuzzy extensions of classical models (e.g., linear regression), and risk equity evaluation. Current interests involve consensus dynamics in group decisions, preference modeling, and the Analytical Hierarchy Process (AHP). Fedrizzi serves as a referee for journals like European Journal of Operational Research, Fuzzy Sets and Systems, and IEEE Transactions on Systems, Man, and Cybernetics. He organized the XXXII AMASES Conference (2008) and the International Workshop on Preferences and Decisions (2009). He was a member of the University of Trento’s Administrative Board (2004–2008) and reviewed PhD theses at institutions like Åbo Akademi University (Finland) and the University of Padova.

• Fracture Mechanics
• Solid Mechanics
• Finite Fracture Mechanics
• +14 more

Pietro Cornetti is an Associate Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Politecnico di Torino, where he also serves as Coordinator of the Doctoral School in Civil and Environmental Engineering. He is a member of the SISCON Interdepartmental Center for the Safety of Infrastructures and Constructions and the Doctoral School Council. His academic career has been deeply rooted at Politecnico di Torino, where he completed his education and has held continuous academic positions since 1999. His research interests span a broad spectrum of solid and fracture mechanics, with a focus on finite fracture mechanics , fractional calculus , fractal geometry , non-local elasticity , size effects in concrete and granular materials, and structural retrofitting using FRP/FRCM systems . His work bridges theoretical mechanics with practical applications in civil engineering and structural integrity. The 15 most recent publications highlight a strong trend toward integrating advanced mathematical frameworks—particularly fractional calculus and phase-field modeling—with classical and finite fracture mechanics. These works address brittle fracture, dynamic crack propagation, fatigue in composites, and debonding phenomena, demonstrating a consistent focus on improving predictive models for structural failure across scales. He actively mentors PhD students and leads major research initiatives, including the H2020-funded NEWFRAC project and the nationally funded REHARZE project on retrofitting historic architecture for zero emissions. His teaching portfolio includes Solid Mechanics, Structural Mechanics, Fracture and Plasticity, and advanced topics in computational mechanics across undergraduate, master's, and doctoral levels. He is affiliated with several professional organizations: Italian Group of Fracture (IGF) Italian Association of Applied and Theoretical Mechanics (AIMETA) European Structural Integrity Society (ESIS), Technical Committee TC16 He has served on the program committee of the International Conference on Fracture (ICF14) and participated in the organizing committee of AIMETA XXI. His research is supported by competitive grants from national (PRIN) and EU (H2020) funding programs. He supervises a research group focused on fracture mechanics and leads the Laboratorio di Meccanica della Frattura (DISEG) , which supports experimental and computational research in structural integrity. His team works on both theoretical developments and practical applications in civil and environmental engineering.

Valentino SantucciView profile

Associate Professor

• Artificial Intelligence
• Evolutionary Computation
• Machine Learning
• +7 more

Valentino Santucci is an Associate Professor of Computer Engineering at the University for Foreigners of Perugia, Italy, affiliated with the Department of International Human and Social Sciences (SUSI). Since 2021, he has served as the Rector's Delegate for Technological Innovation and Information Flows, highlighting his leadership in digital transformation within the institution. His research spans key areas in Artificial Intelligence, particularly Evolutionary Computation, Natural Language Processing, Machine Learning applications in e-learning and sustainability, and digital technologies in education. He employs algebraic techniques to analyze combinatorial search spaces and evolutionary algorithm dynamics, contributing to both theoretical and applied advancements. The most recent publications reflect a strong trend in combinatorial optimization using algebraic frameworks, hybrid evolutionary-swarm algorithms, and applications in text complexity classification and educational technology. His work bridges computer science with humanities and sustainability, reflecting a multidisciplinary approach. PhD in Computer Science and Mathematics, University of Perugia (2012) He teaches courses in Artificial Intelligence, Computer Science for Humanities, Cybersecurity, and Sustainability across various degree programs. His editorial roles include contributing to WoS/Scopus-indexed journals, and he has taught at the University of Perugia and Hong Kong Baptist University. Dr. Santucci actively mentors through teaching and research supervision. While specific student names are not listed, his involvement in academic projects and publications suggests advisory roles. He has no explicitly mentioned grants, but his research output and leadership position indicate active project engagement. He is involved in institutional innovation through his role in technological advancement and has contributed to projects integrating soft skills and learning technologies. His work emphasizes practical applications of AI in education and sustainability, positioning him at the intersection of technical innovation and societal impact.

Tullio Ceccherini SilbersteinView profile

Associate Professor

• Mathematical Analysis
• Group Theory
• Cellular Automata
• +5 more

Tullio Ceccherini Silberstein is an Associate Professor of Mathematical Analysis in the Department of Engineering at the University of Sannio, Italy. He also maintains an affiliation with the Istituto Nazionale di Alta Matematica 'Francesco Severi' in Rome. His teaching responsibilities include Mathematics courses for Civil Engineering and Energy Engineering programs. His primary research interests span Mathematical Analysis, Group Theory, Cellular Automata, Harmonic Analysis, Representation Theory, and Symbolic Dynamics. His work has significantly contributed to the understanding of the Garden of Eden theorem for cellular automata, finite Gelfand pairs, and ergodic properties of dynamical systems. His research demonstrates strong connections between algebraic structures, combinatorial methods, and dynamical systems. Analysis of his recent publications reveals a continued focus on the intersection of algebraic structures and dynamical systems, with particular emphasis on sofic groups, surjunctivity, and the Garden of Eden theorem across various mathematical contexts. His work shows evolution from foundational studies in cellular automata to increasingly sophisticated applications in group theory and algebraic dynamics. Throughout his career, Ceccherini Silberstein has maintained an active presence in the mathematical community through numerous conference presentations and collaborations, particularly with Michel Coornaert. His work bridges theoretical mathematics with applications in symbolic dynamics and computational group theory.