Find Academic Supervisors

• Experimental Superconductivity
• High-Frequency Electromagnetic Properties of Materials
• Vortex Dynamics in Superconductors
• +3 more

Gianluca Ghigo is a Tenured Associate Professor at the Department of Applied Science and Technology (DISAT) of Politecnico di Torino. He specializes in experimental superconductivity and high-frequency electromagnetic properties of materials, with a focus on vortex dynamics, ion irradiation effects, and electromagnetic shielding applications. Research areas: Experimental Superconductivity, High-Frequency Electromagnetic Properties, Material Engineering with Swift Heavy Ions Awards: Fellow of Istituto Nazionale di Fisica Nucleare (INFN) since 1993 His recent publications (2022-2025) highlight expertise in NbTi and MgB2 superconductors, iron-based compounds, biochar composites, and microwave characterization techniques. Key contributions include studies on irradiation effects, hybrid shielding systems, and anisotropic superconducting behavior. Teaching: Courses in Quantum Engineering and Physics at Politecnico di Torino (2011-2025) Editorial: Guest Editor for Materials (2020-), Special Issue on Unconventional Superconducting Materials Laboratories: Analysis of Electromagnetic Properties, Microwave Characterization, Superconductivity Research, and Magneto-Optic Visualization at DISAT. Supervised PhD student: Federico Malnati (40th cycle, 2024-in progress). Conferences: Chairman of 15th International Workshop on High-Temperature Superconductors in High-Frequency Fields

• 3D models
• Digital cultural heritage
• Digital photogrammetry
• +10 more

Giulia Sammartano is a Fixed-term Tenure-Track Assistant Professor at the Department of Architecture and Design (DAD) of the Polytechnic University of Turin . She is a member of the FUTURE Urban Legacy Lab (FULL) and engages in interdisciplinary research at the intersection of geomatics, cultural heritage, and sustainable architecture. Scientific Branch: Geomatics (CEAR-04/A, Area 0008 - Civil Engineering and Architecture) ERC Skills: PE8_3 (Civil Engineering), PE6_8 (Computer Graphics), SH2_12 (GIS), PE2_15 (Metrology) SDG Contributions: Quality Education, Gender Equality, Cities & Communities, Climate Action Her research interests include 3D modeling , digital cultural heritage , UAV photogrammetry , and SLAM-based mapping . She specializes in applying advanced geomatic techniques for heritage documentation, with a focus on laser scanning , point cloud processing , and HBIM (Heritage Building Information Modeling). Recent publications highlight her work on the REVHEAL and HERITALISE projects, exploring topics like masonry vault simulations , autonomous robotic surveying , and ML/DL classification of LiDAR data . She serves as Guest Editor for journals such as Remote Sensing , Sensors , and Drones . Awards: Polytechnic University of Turin Publications Award (2016, 2018) Best Poster SIFET2017 (2017) Quality of Research Activity (2016) Scientific Memberships: ICOMOS Italia (2023-) CIPA Heritage Documentation (2023-) ISPRS (2020-)

• Digital Marketing
• Media Studies
• Urban Planning
• +6 more

Nicoletta Gay is a Lecturer at the Interuniversity Department of Regional and Urban Studies and Planning (DIST) within Politecnico di Torino, College of Computer, Film, and Mechatronics Engineering. She specializes in digital marketing, algorithmic systems, and media studies, with a focus on consumer behavior and urban planning. Teaching: Course instructor for Digital Strategy (2019–2024) and collaborator for Digital Creative Industries (2022–2025) and Marketing and Media Economics (2021). Research Interests: Her work explores digital platforms, affective economies, gender in technology domestication, and youth digital consumption. Key areas include brand communities, algorithmic subjectivities, and urban media integration. Publications: Recent works examine recommendation systems, mobile marketing, and the intersection of gender and technology, reflecting interdisciplinary engagement with cultural and digital studies. Contact: Email nicoletta.gay@polito.it.

Matteo CeccarelloView profile

Associate Professor

• Algorithms
• Data-Intensive Applications
• Timeseries Analysis
• +2 more

Matteo Ceccarello is an Associate Professor of Computer Science at the Department of Information Engineering, University of Padova. His research focuses on algorithms for data-intensive applications, timeseries, and temporal databases. Previously, he held positions as Assistant Professor at the Free University of Bozen and as a Postdoc at the IT University of Copenhagen. Research interests include advancing algorithmic solutions for managing and analyzing large-scale temporal datasets. His work bridges theoretical foundations with practical applications in database systems and data engineering. No specific grants, awards, or lab affiliations are detailed in the provided information.

Salvatore IngrassiaView profile

Professor

• Model-based clustering
• Mixture models
• Computational statistics
• +4 more

Salvatore Ingrassia is a Professor of Statistics at the Department of Economics and Business, University of Catania, Italy. His research focuses on model-based clustering, mixture models, computational statistics, neural networks, and stochastic algorithms. He has held significant editorial roles, including Associate Editor for Statistical Methods and Applications , Advances in Data Analysis and Classification , and Computational Statistics and Data Analysis . He has also served in institutional leadership roles, such as Quality Assurance Chief Officer at the University of Catania and President of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society. Education includes a Ph.D. in Applied Mathematics and Computer Science from the University of Naples (1991), a Research Fellowship at Ecole Normale Supérieure de Cachan (1993-1994), and a Degree in Electrical Engineering from the University of Catania (1986). His work spans editorial contributions, guest editorships, and institutional responsibilities, reflecting his leadership in statistical methodology and education. His research emphasizes robust statistical modeling, with applications in healthcare, finance, and astrophysics. Notable contributions include advancements in cluster-weighted models, mixture models, and computational algorithms for high-dimensional data. He has collaborated internationally, including visiting positions and editorial roles in leading journals.

• Robotics
• Human-Robot Interaction
• Biomedical Engineering
• +5 more

Prof. Domenico Prattichizzo holds the position of Full Professor in the Department of Information Engineering and Mathematical Sciences at the University of Siena. His research focuses on advanced robotics, human-robot interaction, and biomedical engineering applications, with a strong emphasis on haptic feedback systems, soft robotics, and assistive technologies. He leads educational activities in control systems, robotics, and biotechnological engineering, contributing to the university’s Bachelor’s and Master’s programs. His work bridges robotics with healthcare, developing wearable devices for rehabilitation and neuromodulation solutions for neurological disorders. Key research areas include: Design of soft and rigid robotic grippers Haptic interfaces for teleoperation and human augmentation Neural control of robotic limbs for tetraplegia patients Wearable exoskeletons for stroke rehabilitation Sensory substitution devices for time perception Recent publications emphasize innovations in collaborative robotics, tactile feedback systems, and biomedical applications, with a focus on safety, adaptability, and human-centric design. His contributions to robotics education include developing open-source toolboxes and resources for undergraduate and graduate students.

FRANCO SCARSELLIView profile

Professor

• Graph Neural Networks
• Machine Learning
• Artificial Intelligence
• +3 more

FRANCO SCARSELLI is a Full Professor at the University of Siena, affiliated with the Department of Information Engineering and Mathematical Sciences. His primary research focuses on Graph Neural Networks (GNNs), machine learning applications in IoT, blockchain, bioinformatics, and medical imaging. He has contributed extensively to the theoretical foundations of GNNs, including their expressive power and VC dimensions. His teaching roles include courses on Advanced Machine Learning for the Master's program in Artificial Intelligence and Automation Engineering, as well as Information Systems for undergraduate Management Engineering students. He has been actively involved in curriculum development since at least 2021/2022. Research highlights include interdisciplinary work on agrifood supply chain traceability using IoT and blockchain, molecular property prediction with GNNs, and semantic analysis of diffusion models. Key collaborations involve institutions like the University of Siena and industry partners in smart logistics and healthcare. His publications span over two decades, with recent contributions emphasizing the theoretical underpinnings of GNN architectures and their applications in dynamic graphs, medical diagnostics, and industrial fault detection. He has also pioneered open-source tools like GNNKeras for graph neural network implementations.

• Digital methods
• Disinformation and polarisation
• Inclusive storytelling
• +5 more

Sara Monks is a Full Professor at Politecnico di Torino, affiliated with the Interuniversity Department of Territorial Sciences, Projects and Policies (DIST). Her research focuses on digital methods, disinformation, polarization, inclusive storytelling, and social media analysis. She leads projects on online extremism and platform governance, contributing to initiatives like the EU Knowledge Hub on Radicalization Prevention. Monks chairs doctoral programs in Urban and Regional Development and teaches courses on digital strategies, social media, and future storytelling across multiple engineering and communication programs. Member of ICA Executive Committee (Global Communication and Social Change Division) Full member of ESA, SISSC, and AIS Lead researcher on EU-funded projects like SAFFRON and MOREandLESS Advises PhD students Letizia Sacco and Simone Persico Her work bridges sociology and technology, analyzing disinformation dynamics in wartime contexts, conspiracy theories, and pandemic narratives. She explores how social media ecosystems shape public discourse, with contributions to journals like International Journal of Communication and Media and Communication . Monks collaborates with institutions like LSE and Brown University, and her research informs policy through evaluations for the European Commission and Horizon projects.

Gianluigi PillonettoView profile

Assistant Professor

• System Identification
• Stochastic Systems
• Deconvolution Problems
• +3 more

Gianluigi Pillonetto is an Assistant Professor at the Department of Information Engineering , University of Padova , where he has been employed since 2005. His academic career focuses on system identification, stochastic systems, and nonparametric regularization techniques. Born: January 21, 1975 in Montebelluna, Italy Education: Doctoral degree (1998) and PhD (2002) in Computer Science/Engineering Research roles: Visiting scholar (2000), Visiting scientist (2002), Research Associate (2002-2005) His research spans system identification, stochastic processes, and deconvolution problems, with a particular emphasis on Bayesian methods and kernel-based regularization. He has contributed to areas like distributed Gaussian regression, sparse system identification, and nonlinear stochastic modeling in physiological systems. Recent publications (2016-2021) examine Gaussian regression techniques for distributed systems, entropy-based kernel design, and nonlinear stochastic deconvolution. These works incorporate machine learning principles into control theory, focusing on applications in wireless communications, robotics, and biomedical engineering.

Mattia ZorziView profile

Associate Professor

• Learning Dynamic Networks from data
• Robust and distributed filtering
• Dynamic Brain Networks
• +8 more

Mattia Zorzi is an Associate Professor in the Department of Information Engineering at the University of Padova, Italy. He has held academic positions since 2014, transitioning from Assistant Professor to Associate Professor in 2020. His research focuses on system identification, machine learning, and robust control, with applications in dynamic brain networks, robotic systems, and quantum information processing. Education: Ph.D. and M.S. in Information Engineering from University of Padova International Experience: Visiting Scientist at University of Cambridge (2013-2014), Research Associate at University of Liege (2013-2014) Zorzi's research integrates robust and distributed filtering, inverse dynamics learning, and nonparametric identification of Kronecker networks. His work bridges theoretical advancements in spectral estimation with practical applications in neuroscience (e.g., effective connectivity analysis) and control systems (e.g., robust Kalman filtering under uncertainty). Recent publications (2024-2023) demonstrate expertise in ARMA graphical models, kernel-based estimation, and optimal transport for Gaussian processes. He has contributed to the IEEE and IFAC communities as Associate Editor and actively participates in editorial roles for leading journals. Scientific Awards: IEEE Senior Member (2021) Member of IFAC Technical Committee TC 1.1 (2018) Associate Editor roles in Automatica, IEEE Control Systems Letters, and major conferences Grants & Collaborations: Collaborated on projects involving quantum channel estimation, free-space quantum communication, and biomedical signal processing.

• Renewable Energy Systems
• Computational Fluid Dynamics (CFD)
• Wind Energy Technology
• +4 more

Corsini Alessandro is a Full Professor at the Department of Engineering, Sapienza University of Rome, specializing in renewable energy systems, computational fluid dynamics, and turbomachinery. His research focuses on optimizing offshore wind energy systems, hydrogen storage, and sustainable energy communities. He leads projects on wind turbine aerodynamics, fluid-structure interaction, and machine learning applications in engineering. Key research areas include wake dynamics in offshore wind farms, adaptive turbine blade design, and the integration of renewable energy technologies into urban and island systems. His work addresses challenges in energy efficiency, environmental impact mitigation, and innovative solutions for sustainable power generation. Recent studies explore technology roadmaps for energy sectors, desalination in renewable energy communities, and predictive modeling of material erosion in turbines. He collaborates on experimental testing of wave energy converters and machine learning-driven analysis of energy systems. Corsini has contributed to advancements in computational fluid dynamics, including variational multiscale methods and surrogate modeling for noise prediction. His interdisciplinary approach bridges engineering, environmental science, and data-driven innovation.

• Computer Engineering
• Information Engineering

Tibermacine Imad Eddine serves as a Research Fellow at Sapienza University of Rome, specializing in the research sector ING-INF/05 (Computer Engineering). His research interests span Computer Engineering and Information Engineering, focusing on technical and theoretical aspects within these disciplines. Contact details: Telephone 06 44585; imadeddine.tibermacine@uniroma1.it .

Davide MazzaView profile

Associate Professor

• Biophysics
• Cell Biology
• Cancer Research
• +4 more

Davide Mazza is an Associate Professor in Physics at Vita-Salute San Raffaele University, Milan, Italy, and heads the Imaging of Gene Regulation Unit at the Experimental Imaging Center of San Raffaele Scientific Institute. His career spans institutions including the National Institutes of Health (USA) and European Marie Curie Fellowships. PhD in Physics (2008) and Master in Physics (2004) from University of Genoa, Italy Research Interests focus on biophysics , chromatin organization , transcription factor dynamics , and onco-suppressor mechanisms , with a specialization in advanced microscopy techniques (e.g., single-molecule tracking, fluorescence correlation spectroscopy). His work bridges quantitative biology and cancer epigenetics . Scientific Contributions include 15+ recent publications on topics like chromatin accessibility , transcriptional regulation , and 3D microenvironmental effects on gene expression . Articles highlight interdisciplinary approaches combining physics , cell biology , and clinical oncology . 2019-2023 : AIRC Investigator Grant for chromatin reorganization in p53 signaling 2018 : Worldwide Cancer Research Grant for chromatin organization in oncogene-induced senescence 2015-2018 : Fondazione Cariplo Grant for single-molecule p53 dynamics 2010 : Marie Curie Individual Fellowship for postdoctoral research 2005 : GIC Italian Cytometry Society prize for M.Sc. thesis Teaching & Mentorship includes 2016-2022 adjunct professorship in Physics at UNISR and leadership in Ph.D. programs (e.g., co-organizer of microscopy schools, member of doctoral committees). He has supervised Zeno Lavagnino (Marie Curie project, 2018) and hosted EMBO Short-term Fellows. Laboratory & Collaborations include the Experimental Imaging Center (since 2020) and the Cancer Imaging Unit (2014-2019). His work intersects nanomedicine (e.g., CEN European Center for Nanomedicine) and quantitative imaging in oncology.

• Representation theory of algebras
• Algebra
• Triangulated categories
• +4 more

Lidia Angeleri is a Full Professor in the Department of Computer Science at the University of Verona, specializing in Algebra (MATH-02/A). Her academic career spans multiple decades with significant contributions to representation theory of algebras and related fields. Her research interests include: Triangulated categories - studying abstract concepts and methods from homological algebra, including torsion pairs, t-structures, and localization theory Purity in representation theory - examining pure-injective modules, definable subcategories and the Ziegler spectrum Representation theory of algebras - investigating module categories and their derived categories Silting and tilting theory - developing universal methods for comparing and constructing equivalences between different categories Her work has important connections to geometry, topology, data science, and theoretical physics. She has authored approximately sixty publications in international journals and serves on the editorial boards of Journal of Pure and Applied Algebra, Annals of Representation Theory, and Applied Categorical Structures. Professor Angeleri currently leads significant research projects including FIS-2021 and PRIN-2022, with recent projects such as 'FIS - Large views of small phenomena: decompositions, localizations, and representation type - LAVIE' (starting 7/15/24) and 'Structures for Quivers, Algebras and Representations - SQUARE' (starting 9/28/23). Previously, she served as Vice-Rector for International Relations at the University of Verona from 2013 to 2019. She teaches multiple courses including Algebra, Linear Algebra and Elements of Geometry, Homological Algebra, and Methods in Representation Theory for both Bachelor's and Master's degree programs in Applied Mathematics and Mathematics.

• Organizational Behavior
• Experimental Economics
• Entrepreneurship
• +5 more

Alessandro Rossi is an Associate Professor in the Department of Economics and Management at the University of Trento, Italy. He holds roles including Rector’s Delegate for Support to the Productive System and coordinates doctoral programs in Innovation & Entrepreneurship. He earned a Laurea in Business Economics from Ca’ Foscari University of Venice (1995), a PhD in Organization and Management of Enterprises from the University of Udine (2000), and conducted postdoctoral research at the University of Trento (2000-2002). His research focuses on organizational processes in knowledge-intensive sectors, particularly software industries, using experimental and computational methods. Key interests include innovation, decision-making, and open-source ecosystems. He leads projects funded by EU initiatives (e.g., Communia Network, LiquidPublication) and national grants (MIUR-PRIN, COFIN). He teaches courses such as Start-Up Lab, Managerial Decision Models, and Innovation in Local Manufacturing Systems. As an advisor, he supervised 98 theses (69 bachelor’s, 29 master’s). Awards include HICSS-43 Best Paper Nomination (2010) and a 2001 Young Researchers Grant. Key Roles: Doctoral Program Coordinator, Erasmus Program Coordinator, Open Innovation Researcher Research Projects: LiquidPublication (FP7), Designing Complex Artifacts (MIUR-PRIN), Open Source Software Networks Professional Engagements: Program Committee Member (Wikisym, EURAM), Scientific Board (Open Culture Conferences) His work bridges theoretical economics with empirical studies, emphasizing organizational design and open innovation dynamics.