Find Academic Supervisors

Giuseppe Di FattaView profile

Professor

• Machine Learning
• Data Science
• Data Mining Algorithms
• +3 more

Giuseppe Di Fatta is a full professor at the Faculty of Engineering of the Free University of Bozen-Bolzano since 2022. Previously, he served as Head of the Computer Science Department at the University of Reading (2016-2021) and contributed to KNIME's early development at the University of Konstanz (2004-2006). His research focuses on machine learning algorithms, data science tools, and interdisciplinary applications in science and industry. He actively participates in IEEE SMC Society's Technical Committee on Machine Learning. He teaches courses such as 'Codeless Machine Learning in KNIME' and 'Data-Driven Decision Making' in the Doctoral Program in Computer Science. His work integrates advanced methods like multi-task learning, transfer learning, and data-driven healthcare solutions. He leads projects such as the 5VREAL volleyball analytics initiative and contributed to BodyCloud, a cloud-assisted platform for wearable device monitoring. Recent research trends include optimizing deep learning models for imbalanced datasets, applying AI to Alzheimer’s disease prediction, and developing scalable data mining techniques for edge computing systems. His publications span topics from neural network optimization to financial market analysis. Key Projects: BodyCloud, 5VREAL, KNIME integration Professional Roles: IEEE SMC TC-ML member, former Head of Computer Science (Reading) Teaching: Doctoral, master's, and bachelor's programs in data science and computer science Collaborations: EU projects, industry partnerships in healthcare and sports analytics

Yannick HamonView profile

Researcher

• French Language Teaching
• Translation Studies
• Linguistics
• +5 more

Yannick Hamon is a Researcher at Ca' Foscari University of Venice, affiliated with the Department of Comparative Linguistic and Cultural Studies. His office is located in Palazzo Cosulich (Studio 210), where he holds office hours on Tuesdays from 11:00 to 13:00. He serves as a Member of the Joint Teacher-Student Commission for the SLCC Department and acts as the Teacher Training Representative. His academic focus centers on French language teaching, translation studies, and linguistics, specifically under the SSD classification FRAN-01/B (French language, translation and linguistics). Hamon's research interests span French Language Teaching (FLE), digital technologies in language education, collaborative learning approaches, and distance teaching methodologies. His work demonstrates particular expertise in the intersection of technology and language pedagogy, with significant contributions to understanding how digital tools can enhance language acquisition and teaching practices. He has extensively explored emergency remote teaching during the pandemic, investigating how language educators adapted to sudden transitions to online instruction. His scholarship also addresses translation studies, environmental discourse, and collaborative learning models in language education. Analysis of Hamon's publication record reveals a strong trajectory in research on technology-mediated language teaching and collaborative approaches to language instruction. His work has evolved from foundational studies on translation technologies to more recent investigations of pandemic-era educational challenges and innovative solutions. A notable pattern is his consistent focus on practical applications of theoretical frameworks in real classroom settings, emphasizing action research methodologies that bridge theory and practice. His publications frequently examine how digital tools can facilitate language learning while maintaining the essential interactive elements that characterize effective language instruction. Hamon has played a significant role in coordinating teacher training initiatives, particularly through the FLE Ateliers program developed in collaboration with the Federation of French Alliances in Italy and DORIF. This initiative represents a substantial contribution to professional development for French language teachers, focusing on practical, research-informed approaches to teaching challenges. His work demonstrates commitment to improving language education through collaborative research-action frameworks that value teacher expertise while incorporating academic research findings. As an active member of the academic community, Hamon participates in research networks focused on French language teaching and plurilingualism. His work reflects engagement with broader educational challenges while maintaining specialized expertise in French language pedagogy. His contributions to the field emphasize the importance of adapting teaching methodologies to contemporary technological and social contexts while preserving the core interactive elements essential to language learning.

• Financial Mathematics
• High-Frequency Financial Econometrics
• Stochastic Volatility Modeling
• +2 more

Giacomo Toscano is a Tenured Assistant Professor of Financial Mathematics at the University of Florence, Department of Economics and Management. His research focuses on high-frequency financial econometrics, stochastic volatility modeling, and applications of Fourier methods in economics. He holds a Ph.D. in Financial Mathematics from Scuola Normale Superiore. Research interests include climate risk measurement and econometric methodologies for analyzing financial markets. His work bridges statistical theory with practical applications, such as volatility forecasting using graph attention networks and developing the FMVol MATLAB library for volatility estimation. Recent studies address microstructure noise, Hawkes-driven volatility models, and historical financial systems like 15th-century Barcelona's foreign exchange markets. Publications span 2020–2025, emphasizing volatility dynamics, estimation techniques, and algorithmic trading strategies. His research often combines advanced mathematical tools with empirical validation using S&P500 and other financial datasets. No scientific awards are explicitly listed, though his active publication record suggests potential recognition in econometrics or financial mathematics. Advising and grants details are not provided in the source text.

• Geotechnical Engineering
• Numerical Modelling and Simulation
• Soil and Rock Mechanics
• +10 more

Andrea Ciancimino is a Fixed-term tenure-track Assistant Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at Politecnico di Torino, Italy. He is affiliated with the College of Environmental and Land Engineering and actively contributes to teaching and research in geotechnical engineering, with a focus on numerical modeling, soil-structure interaction, and seismic risk. His work bridges civil engineering and environmental sustainability, particularly in energy storage applications. His research interests include: Geotechnical Engineering Numerical Modelling and Simulation Soil and Rock Mechanics Geotechnical Earthquake Engineering Soil-Structure Interaction Geological Energy Storage (e.g., hydrogen storage) Caprock behavior and constitutive modeling Seismic risk and spatial planning His recent publications (2023–2025) focus on the mechanical behavior of caprocks under cyclic and geo-chemo-mechanical loading, hydrogen storage geomechanics, and the seismic vulnerability of bridges due to foundation scour. These works reflect a strong trend toward sustainable energy infrastructure and resilient civil systems, leveraging advanced numerical simulations and constitutive modeling. He supervises PhD students including Marlio Molina Manrique, Jingwen Zhang, and Trishala Daka, whose research aligns with geomechanics for energy storage and seismic resilience. While no specific grants or awards are mentioned in the provided texts, his active supervision and publication record suggest ongoing research funding and academic leadership. He is involved in multiple teaching roles across degree programs in Civil Engineering, Environmental and Land Management Engineering, and Territorial Planning. His courses include: Soil-Structure Interaction (PhD and MSc levels) Experimental Laboratory for Testing and Measurement in Civil Engineering Seismic Risk and Spatial Planning Geotechnical Earthquake Engineering Slope Stability and Landslide Risk Mitigation His lab and research activities are centered within DISEG, focusing on geotechnical modeling and simulation for energy and seismic applications.

Shun ShiramatsuView profile

Professor

• Natural Language Processing
• Knowledge Graph
• Civic Tech
• +3 more

Shun Shiramatsu is a Professor at the Graduate School of Engineering, Nagoya Institute of Technology, where he also serves as Director of the Center for Community Creation Education and Research. Since August 2024, he has held a concurrent position as Specially Appointed Professor in the Civic Tech and Design Science Creation Endowed Research Division at the Center for Spatial Information Science, The University of Tokyo. In April 2024, he established Socianotter Inc. to implement his laboratory's research results in society. Dr. Shiramatsu has been actively involved in civic tech activities with Code for Nagoya since 2014. Dr. Shiramatsu earned his Master's degree in Information Science from Tokyo University of Science in 2003 and his PhD in Informatics from Kyoto University in 2008. His academic journey began as a JST CREST Research Assistant at AIST in 2003, followed by positions as JSPS Research Fellow (DC2) in 2007, JSPS Research Fellow (PD) in 2008, Assistant Professor at Nagoya Institute of Technology in 2009, Associate Professor and head of the Shiramatsu Laboratory in 2015, and Professor in 2021. His research focuses on civic tech support and consensus building using natural language processing and knowledge graphs. Dr. Shiramatsu's work bridges the gap between advanced AI technologies and practical community applications, particularly in supporting democratic processes and citizen engagement. His recent research has increasingly incorporated large language models to enhance discussion structuring, information recommendation, and consensus building in both physical and digital spaces. He has developed systems for structuring oral discussions, estimating optimal timing for information recommendations, and creating coaching agents for job-hunting students. Dr. Shiramatsu's publication record shows a clear evolution from foundational work in web technologies and knowledge representation toward increasingly sophisticated applications of AI for civic engagement. His recent work heavily features large language models applied to community building, discussion support, and consensus formation, demonstrating how cutting-edge AI can address real-world social challenges through practical implementations. Excellence Award in the Dataset category at the LOD Challenge Japan 2013 Excellence Award in the Application category at the LOD Challenge Japan 2018 Grand Prize at the Kyoto University Summer Design School 2022 Best Student Paper Award at the 2nd International Workshop on Democracy and AI (2023) Outstanding Performance Award at the Linked Open Data Challenge Japan 2018 Dr. Shiramatsu has served as principal investigator on multiple research projects funded by JST, NEDO, and the Japan Society for the Promotion of Science. His research has been applied in various civic tech initiatives, including the development of systems for public collaboration, consensus building, and regional revitalization. Through Socianotter Inc., he is translating academic research into practical solutions that directly benefit communities. His leadership extends to chairing the Japanese Society for Artificial Intelligence's Citizen Co-Creation Intelligence Research Group (SIG-CCI) and serving as Secretary for the IEICE Special Research Committee on 'Agreement and Co-creation'.

• Organic Chemistry
• Natural Products Chemistry
• Marine Biochemistry
• +12 more

Ines Mancini is an Associate Professor in the Department of Physics at the University of Trento, Faculty of Sciences, where she has been a member since 2000 and a researcher since 1987. She earned her degree in Chemistry from the University of Bologna in 1983 and was appointed as a university researcher in Organic Chemistry in 1987, later promoted to Associate Professor in 2006. She leads the Bioorganic Chemistry Laboratory and has served in various academic and administrative roles, including safety officer, PhD program committee member, and representative on multiple faculty councils. Her educational background includes a Scientific High School Diploma from A. Einstein State Scientific High School in Rimini (1977) and a Degree in Chemistry from the University of Bologna (1983, 110/110), with a thesis on allylic and vinylic substrate activation under Professor Achille Umani Ronchi. She also completed professional qualifications in secondary school teaching and as a chemist in 1983–1984. Ines Mancini's research spans several key areas in organic and bioorganic chemistry. Her primary interests include natural products chemistry, focusing on the isolation and structural characterization of marine metabolites using HPLC, NMR, mass spectrometry, and other spectroscopic techniques. She investigates biologically active molecules through total or partial synthesis to determine absolute configuration and enhance availability for pharmacological studies. A significant part of her work involves supramolecular interactions with cyclodextrins, analyzed via vibrational spectroscopy (Raman, FT-IR) and DFT calculations. She explores innovative synthetic methods using microwave irradiation and utilizes pyrolysis products of cellulose as chiral building blocks in the synthesis of biologically relevant compounds. Additionally, she engages in drug design and the development of potential antitumor agents. Although no specific publications are listed in the provided text, her research activities indicate a strong focus on marine natural products, synthetic methodology, and bioorganic applications. The absence of article titles prevents detailed analysis of publication trends, but her long-standing engagement in natural product chemistry and spectroscopic characterization suggests consistent contributions to these fields. Member, Italian Chemical Society (Division of Organic Chemistry) Member, CONISMA – National Consortium for Marine Sciences Member, CNISM – Interuniversity Consortium for Physical Sciences of Matter Referee for international journals including Chemistry – A European Journal , European Journal of Organic Chemistry , Tetrahedron , Bioorganic and Medicinal Chemistry , and Marine Drugs Ines Mancini has supervised numerous graduate students and contributed to doctoral education as a member of the PhD College in Physics and co-organizer of the International Doctoral School in Biomolecular Sciences. She has not received any explicitly mentioned grants in the provided text, but her leadership of the Bioorganic Chemistry Laboratory and long-term research activity imply sustained funding support. Her service includes participation in national evaluation committees, curriculum development, safety compliance, and outreach to schools and museums. She is the responsible researcher for the Bioorganic Chemistry Laboratory within the Department of Physics at the University of Trento, a role she has held since October 2009. Her group, LBO1, operates under strict chemical safety protocols, and she has served as the safety officer for the research team since 2001. The lab integrates experimental and computational approaches to study organic and bioorganic systems, particularly marine-derived compounds and their supramolecular behavior.

Alessandro De LucaView profile

Assistant Professor

• Combinatorics on Words
• Automata and Formal Languages
• Discrete Mathematics
• +6 more

Alessandro De Luca is an Assistant Professor of Computer Science at the Department of Electrical Engineering and Information Technology (DIETI) of the University of Naples Federico II, Italy. He has held previous positions at the University of Turku (Finland) and UQAM (Canada). PhD in Mathematical and Computer Science (2008), University of Naples Federico II MSc in Mathematics (2003), University of Naples Federico II His research focuses on combinatorics on words , with emphasis on Sturmian words, Christoffel words, pseudopalindromes, rich words, and their connections to number theory, automata theory, and discrete mathematics. Key contributions include work on well-distributed occurrences (WDO) in infinite words, aperiodic pseudorandom number generation, and the study of open/closed prefixes in Sturmian sequences. Recent publications highlight his expertise in digital segments , semi-regular continuants , and structural properties of combinatorial words . Collaborative efforts include work with Gabriele Fici (University of Palermo), Golnaz Badkobeh (Goldsmiths University of London), and Luca Zamboni (Université Lyon 1). He has participated in international conferences such as WORDS , DLT , and FLA , and is affiliated with research groups including the Centre for Combinatorics on Words and Applications (CCWA) at Murdoch University and GNSAGA (INdAM).

• Thermal Engineering
• Heat Transfer
• Energy Systems
• +5 more

Carlo Cima is a Tenured Assistant Professor in the Department of Energy (DENERG) at the Polytechnic University of Turin, Italy. He is actively engaged in teaching and research within the fields of thermal engineering and energy systems. He serves as a member of the College of Biomedical Engineering and the College of Electrical and Energy Engineering, contributing to academic governance and curriculum development. His teaching responsibilities include Experimentation and Design of Energy Technologies and Applied Thermodynamics and Heat Transfer across multiple degree programs, particularly in Energy Engineering and Biomedical Engineering, where he has consistently held roles as course lecturer and collaborator over several academic years. Carlo Cima's research focuses on thermal performance in energy systems, heat transfer phenomena, fluid mechanics, and fire safety engineering. His work spans applications in building energy efficiency, cryogenic systems, and tunnel safety. The publications indicate a strong emphasis on experimental and numerical analysis of thermal systems, with recurring themes in entropy optimization, heat transfer in extreme conditions, and innovative energy technologies. The most recent research outputs, published between 2006 and 2012, highlight his expertise in thermal evaluation of double glazing, entropy-based control of numerical solutions, heat transfer in liquid nitrogen flows, and full-scale testing of tunnel fire mitigation systems. These works reflect a multidisciplinary approach bridging mechanical, energy, and safety engineering. While no scientific awards are listed in the provided text, his sustained academic activity and contributions to high-level conferences such as the International Heat Transfer Conference and specialized journals demonstrate recognition in his field. Carlo Cima has advised or collaborated on research involving topics such as energy-efficient building components and fire safety systems, though specific names of students are not mentioned. There is no indication of external grants or funded projects in the available data. His research appears to be conducted within institutional frameworks at Politecnico di Torino, potentially in collaboration with other researchers in the department, but no specific lab or research group is named.

• Structural Stability
• Static and Dynamic Buckling
• Fracture Mechanics
• +7 more

Gianfranco Piana is a Research Assistant and external teaching collaborator at the Department of Structural, Geotechnical and Building Engineering (DISEG), Politecnico di Torino, where he contributes to research and education in structural mechanics. He is a member of the SISCON Interdepartmental Center for Safety of Infrastructures and Constructions, and actively involved in nationally funded research projects. His research focuses on the static and dynamic buckling of slender and long-span structures , combining experimental testing and numerical modeling. He specializes in structural stability, aeroelasticity of bridges, fracture mechanics, and the application of AI for structural health monitoring. His work aims to enhance the safety and resilience of civil and aerospace infrastructures. His recent publications reflect a strong trend in bridge aeroelasticity , damage assessment using artificial intelligence , and stability analysis of advanced structural forms such as bending-active arches and space frames. These works appear in conference proceedings and journals related to structural dynamics and safety. Effective Communication with Businesses (Politecnico di Torino, 2024) Learning to Teach (L2T) (Politecnico di Torino, 2023) He supervises PhD student Sebastiano Russo in the Civil and Environmental Engineering program, whose thesis focuses on flutter analysis of long-span bridges. Gianfranco is also the Scientific Director of the PRIN-funded project IN MOOSHEAC , which investigates innovative monitoring techniques for self-healing composites in civil and aerospace applications. He has not received any external grants beyond this project as per the provided text. He is affiliated with the Fracture Mechanics Laboratory (DISEG) , where experimental and computational research on material and structural failure is conducted. He collaborates within a multidisciplinary team focused on infrastructure safety and resilience.

• Geomechanics
• Structural Mechanics
• Constitutive Modeling of Snow
• +5 more

Gianmarco Vallero is a Research Fellow at the Department of Structural, Building and Geotechnical Engineering (DISEG) at Politecnico di Torino, where he also serves as an external lecturer and teaching assistant. He is actively involved in teaching Structural Theory, Building Science, and Foundation Design across various engineering and architecture programs. Position: Research Fellow Institution: Politecnico di Torino Department: Department of Structural, Building and Geotechnical Engineering (DISEG) Email: gianmarco.vallero@polito.it His research focuses on geomechanics, constitutive modeling of snow, rockfall hazard analysis, and structural vulnerability to natural hazards. He applies computational and experimental methods to study snow-structure interactions, rockfall propagation dynamics, and risk assessment in mountainous regions. His work bridges theoretical mechanics with practical civil engineering applications in cold and alpine environments. The recent publications (2020–2025) demonstrate a strong trend in computational modeling of snow behavior, experimental mechanics of snow interfaces, and GIS-based rockfall risk assessment. His work spans disciplines including mechanical engineering, geosciences, and civil infrastructure resilience, with an emphasis on numerical simulation and field-based validation. He has not received any explicitly mentioned scientific awards in the provided texts. Gianmarco Vallero has supervised or collaborated on multiple research projects, particularly in the areas of snow mechanics and rockfall risk, but no formal students or grant information is listed. His collaborations include prominent researchers such as Monica Barbero, Mauro Borri-Brunetto, and Valerio De Biagi. While no specific lab or research team is named, his work is clearly embedded within the geomechanics and structural engineering research group at DISEG.

• Telecommunications
• Wireless Communications
• Cybersecurity
• +2 more

Sandro Zappatore serves as an Associate Professor in the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) at the University of Genoa and is a member of the ICT Commission. His teaching responsibilities for 2024-2026 include: Digital Communications for Master's in Internet and Multimedia Engineering Communication Networks and Multimedia for Master's in Internet and Multimedia Engineering and Digital Humanities Information and Security Technologies for Management Engineering Electrical Communications for Computer Engineering Research focuses on Telecommunications, Wireless Networks, and Cybersecurity with specific expertise in drone-assisted cyber-attack detection, LoRaWAN security, and machine learning applications for object recognition using channel state information. Interdisciplinary work extends into environmental science and geology through collaborative projects. Recent publications (2022-2024) demonstrate strong emphasis on practical security solutions for metropolitan networks and innovative communication techniques, particularly in drone-based intrusion detection and CSI-driven recognition systems, alongside collaborative environmental and geological studies. No scientific awards were mentioned in the source material. No information regarding student supervision or research grants was available in the provided text.

Fabio CalefatoView profile

Associate Professor

• Collaborative Software Engineering
• Social Software Engineering
• Mining Software Repositories
• +7 more

Fabio Calefato is an Associate Professor at the Department of Computer Science, University of Bari "A. Moro" since 2022, holding national habilitation as Full Professor in academic disciplines 01/B1 (since Dec. 2023) and 09/H1 (since Mar. 2025). He serves as CEO & co-founder of PeoplewareAI academic spin-off (2021-present), Rector's delegate of GARR network (2023-present), and Director's delegate for student traineeships (2023-present). Previously, he was Assistant Professor at the Department of Computer Science (2019-22) and at the Jonian Department, Taranto (2015-19), and conducted post-doctoral research at the Department of Computer Science (2007-08; 2010-14). Dr. Calefato received his Ph.D. in Computer Science in May 2007 from the University of Bari with a thesis titled "Supporting Synchronous Communication in Distributed Software Teams," which was listed on SIGSOFT Selected Ph.D. Dissertations in Software Engineering and published by VDM Publishing. He also holds an MSc in Computer Science from the University of Bari (2002). His research focuses on collaborative and social software engineering, mining software repositories and technical Q&A sites, SE4AI, psychometric and sentiment analyses from communication channels in the social programmer ecosystem, collaboration in online creative communities, community-driven knowledge sharing, and computer-mediated communication theories and tools. His work bridges software engineering with social psychology and AI, particularly examining how developers interact, collaborate, and express emotions in online platforms. Analysis of his recent publications reveals a strong trajectory toward AI integration in software engineering practices, with increasing focus on AutoML applications, sentiment analysis in developer communities, and the impact of generative AI on open-source development. His research spans both theoretical foundations and practical tools, with several software implementations including EMTk (Emotion Mining Toolkit), Apache-Big5 (developer personality profiler), and Pynblint (Jupyter notebook quality assurance). Best Paper Award at ICGSE'18 SIGSOFT Selected Ph.D. Dissertations in Software Engineering Dr. Calefato actively advises doctoral students, with Kelly Azevedo Borges Leal (current, researching AutoML for Software Engineering), Luigi Quaranta (graduated 2022, thesis on collaboration around computational notebooks), and Giuseppe Iaffaldano (graduated 2020, thesis on dynamics of online collaborative communities). His research has been supported through various grants enabling international collaborations with institutions including Carnegie Mellon University, University of Victoria, and TU Wien. He leads the COLLAB research group at the University of Bari, which develops tools and conducts empirical studies on collaborative software development. The group maintains several active GitHub projects including Apache-Big5, mini-IPIP test, EMTk, and pySOreputation, alongside experimental datasets used in multiple published studies. His academic spin-off PeoplewareAI focuses on applying AI to human aspects of software development.

Michele ErmidoroView profile

Lecturer

• Control Systems
• Automation Engineering
• Industrial Automation
• +5 more

Michele Ermidoro is a Lecturer at the University of Bergamo, where he teaches Control Systems Engineering, Automation Laboratory, and Automazione Industriale. He holds a Master’s Degree in Computer Engineering (2011) and a PhD (2015), both from the University of Bergamo. His research focuses on inertial platforms in industrial environments, control systems, automation, and mechatronics. Key areas include bridge crane control, fault detection in electromechanical systems, and human-computer interaction for accessibility. Education: PhD in Engineering, University of Bergamo (2015) Master’s Degree in Computer Engineering, University of Bergamo (2011, cum laude) Research Interests: Industrial Automation and Control Systems Inertial Sensor Applications Anti-sway Control for Bridge Cranes Accessibility Technologies via Gesture Recognition Fault Detection and Condition Monitoring Publications Trends: His work spans control systems, mechatronics, and industrial automation, with recent emphasis on gesture-based interfaces for accessibility and magnetic sensor applications in automotive systems. Awards: No scientific awards mentioned. Advising & Grants: No advisees or grants explicitly listed in available texts. Labs/Teams: Collaborates on industrial automation projects, previously serving as a Research Assistant at CAL (2016).

• Parenting
• Intersubjectivity
• Affective neuroscience
• +1 more

Paola Rigo is an Assistant Professor at the University of Padua. Her research focuses on understanding the role of psychological disorders on maladjustment and dysfunctional intersubjectivity in parenting, leveraging insights from affective neuroscience and clinical psychology. Her work integrates theoretical and empirical approaches to explore parent-child dynamics and mental health impacts. Her educational and professional background includes contributions to both clinical psychology and interdisciplinary research. Key areas of investigation include parenting behaviors, emotional regulation, and the neurobiological underpinnings of interpersonal relationships. She has published extensively in astrophysics and stellar evolution (see Google Scholar link), though this may indicate a dual academic focus or a potential data mismatch. Research interests emphasize clinical applications of psychological theories, with an eye toward practical interventions for families. Her publications in astrophysics suggest a secondary or collaborative interest in fields such as stellar nucleosynthesis and detector technology. No scientific awards or grants are explicitly listed in the provided text. Collaborations and lab affiliations remain unspecified, though her work involves international collaborations like the LUNA project and PLATO mission.

Simone MelziView profile

Assistant Professor

• Geometry Processing
• Computer Graphics
• Geometric Deep Learning

Simone Melzi is an Assistant Professor (tenure track) at the University of Milano-Bicocca in the Department of Informatics, Systems and Communication (DISCo). He holds a PhD in Computer Science from Università Degli Studi di Verona (2018) and a Master's in Mathematics from the University of Milan ‘La Statale’ (2013). His research focuses on geometry processing, 3D shape analysis, and geometric deep learning. He has received notable awards including the Marie-Curie Individual Fellowship (score 92.20/100) and the BE-FOR-ERC 2020 grant as Principal Investigator. Melzi has also taught courses like Learning On 3D Geometries and Geometry Processing and Machine Learning for Geometric Data at the University of Milano-Bicocca. Research Interests: Geometry Processing Computer Graphics Geometric Deep Learning Recent Work Trends: His articles address scalable shape correspondence, efficient deformation techniques for high-resolution meshes, and spectral methods for subgraph learning. He emphasizes integrating theoretical foundations with applied AI, as seen in works on explanatory learning and conformal geometry. Awards: Marie-Curie Individual Fellowships (2019) Seal of Excellence (H2020-MSCA-IF-EF-ST-2019) BE-FOR-ERC 2020 Grant (Principal Investigator) EG-Italy PhD Thesis Award (2018) Collaborations and Teaching: Melzi maintains active collaborations with academic and industry leaders. He has organized courses on 3D geometry and spectral shape analysis, fostering interdisciplinary research in geometric data science.