Find Academic Supervisors

• Fluid Dynamics
• Aerodynamics
• Aeroacoustics
• +7 more

Alex Zanotti is an Associate Professor of Fluid Dynamics at the Department of Aerospace Science and Technology of Politecnico di Milano, where he also earned his M.Sc. and Ph.D. in Aerospace Engineering and Rotary Wing Aircraft, respectively. He leads key research and teaching initiatives in experimental and computational aerodynamics, serving as Scientific Coordinator of the Aerodynamics Laboratory and Deputy Head of the Scientific Council of the Politecnico di Milano Wind Tunnel. Ph.D. in Rotary Wing Aircraft, Politecnico di Milano (2012) M.Sc. in Aerospace Engineering, Politecnico di Milano (2006) His research focuses on the fluid dynamics of Advanced Air Mobility (AAM) vehicles , particularly eVTOLs, with emphasis on interactional aerodynamics and aeroacoustics . He investigates phenomena such as propeller-propeller, propeller-wing, blade-vortex interactions, and vortex ring state across the flight envelope. His work integrates wind tunnel experiments with mid-fidelity simulations using DUST, a vortex-particle-method based solver he coordinates. The recent articles reflect a consistent trend in multi-propeller aerodynamic interactions , noise prediction , and validation of computational tools against experimental data. Topics span from fundamental vortex dynamics to applied urban air mobility vehicle design, with strong emphasis on performance, safety, and regulatory compliance . The integration of simulation and testing is a hallmark of his research approach. Scientific Roles and Leadership: Scientific Coordinator, Aerodynamics Laboratory, Politecnico di Milano Deputy Head, Scientific Council, Politecnico di Milano Wind Tunnel Scientific Coordinator, DUST mid-fidelity aerodynamic solver Instructor, Experimental Fluid Dynamics and Aerodynamics of Transport Vehicles (M.Sc. Aeronautical Engineering) While no formal awards or student names are mentioned, his leadership in lab operations, software development, and advanced teaching suggests an active supervisory role in graduate research. His work supports the development of next-generation urban air mobility systems through rigorous aerodynamic and acoustic analysis. He is involved in advanced research infrastructure and is likely engaged in national and international collaborations related to AAM certification and design. His future work may focus on scaling simulation capabilities, integrating machine learning for flow prediction, and expanding experimental databases for regulatory frameworks.

Davide BrunelliView profile

Associate Professor

• Energy Harvesting
• Wireless Sensor Networks
• Internet of Things
• +18 more

Davide Brunelli is an Associate Professor in the Department of Industrial Engineering at the University of Trento, Italy. His research focuses on energy harvesting, ultra-low-power embedded systems, and wireless sensor networks, with applications in IoT, environmental monitoring, and smart infrastructure. He has led numerous EU-funded and industrial research projects and maintains active collaborations with institutions such as ETH Zurich and the University of Bologna. Education: Ph.D. in Electrical Engineering, Telecommunications and Computer Science, University of Bologna (2007) M.Sc. in Electrical Engineering (summa cum laude), University of Bologna (2002) His research interests include energy scavenging for embedded systems, low-power wireless sensor networks, energy-aware communication protocols, battery-less systems, indoor positioning, and IoT applications in agriculture, structural health, and smart buildings. His work bridges hardware and software optimization for sustainable, self-powered sensing systems. The most recent publications reflect a strong trend toward self-powered and transiently-operated systems, energy-neutral architectures, and intelligent sensing with applications in environmental monitoring, industrial IoT, and localization. Key themes include energy harvesting integration, ultra-low power communication, and real-time adaptive algorithms. Scientific Awards: Best Paper Awards at IEEE/ACM conferences (2011, 2014, 2016, 2017, 2018, 2020, 2021) Research.com Computer Science in Italy Leader Award (2024, 2025) Research.com Electronics and Electrical Engineering in Italy Leader Award (2025) Brunelli has supervised numerous research projects and advised EU and national funding agencies as an independent expert. He has led key initiatives such as IoT Proto Lab, GreenDataNet, and EnerViS, and has secured significant industrial partnerships with Telecom Italia, STMicroelectronics, and Hewlett-Packard. He serves as Editor-in-Chief of the journal Sensors and has organized major conferences including IEEE Metrology for Industry 4.0 and ACM ENSSys. He is actively involved in technology transfer, co-founding WISPES srl and transferring energy harvesting innovations to Telecom Italia. His lab supports a testbed for CPS and WSN applications, including deployments in tunnels and smart buildings.

Carlotta SparvoliView profile

Associate Professor

• Chinese Linguistics
• Semantics of Modality
• Chinese as a Second Language Teaching
• +7 more

Carlotta Sparvoli is an Associate Professor in the Department of Asian and North African Studies at Ca' Foscari University of Venice, where she has been a faculty member since February 2022. She also serves as the Director's Delegate for Information Technology. Her academic work bridges theoretical and applied linguistics, with a focus on Chinese language and its pedagogy. PhD in Languages, Cultures and Society, Ca' Foscari University of Venice (2012) Laurea in Oriental Languages (Chinese), Ca' Foscari University of Venice (1991) National Scientific Habilitation for Associate Professor (2019) Her research centers on the semantics of modal expressions in Chinese, the acquisition of Mandarin tones, and the teaching of Chinese as a second language. She employs corpus-based and cognitive linguistic approaches to analyze modality, negation, and discourse structure. Her interdisciplinary work integrates insights from psychology, philosophy, and education. The 15 most recent publications reflect a strong focus on modality, tonal acquisition, and political discourse in Chinese. These works span book chapters, journal articles, and encyclopedia entries, published by leading academic presses such as Oxford University Press and De Gruyter. Her research shows a consistent trajectory toward understanding the cognitive and pragmatic dimensions of Chinese linguistic structures. President, Italian Association of Chinese Linguistics (AILC) Executive Board Member, Chinese as a Second Language Research (CASLAR) Executive Committee Member, International Association of Chinese Linguistics (IACL) Editorial Board, Chinese as a Second Language Research Reviewer for ERC, Oxford University Press, and multiple international journals She has supervised five doctoral students and organized major international conferences such as ISOCTAL-3 and CASLAR-3. Her academic service includes external examination roles at Dublin Institute of Technology and Maynooth University. She has been an active participant in international research groups, including the CASRI Initiative on modality acquisition. Carlotta Sparvoli leads a vibrant research agenda and is deeply embedded in the global Chinese linguistics community. She has held teaching and leadership positions at institutions in Ireland, Taiwan, and Italy, reflecting her transnational scholarly impact.

• Artificial Intelligence
• Machine Learning
• Abstract Argumentation
• +2 more

Gianvincenzo ALFANO is a Researcher at the Department of Computer Engineering, Modelling, Electronics and Systematics (DIMES) at the University of Calabria. His work focuses on abstract argumentation frameworks, epistemic reasoning, and computational complexity. University: University of Calabria Department: Department of Computer Engineering, Modelling, Electronics and Systematics Academic Rank: Researcher Research Interests: Gianvincenzo specializes in abstract argumentation, exploring formal foundations, complexity analysis, and applications in artificial intelligence. His research spans epistemic reasoning, preference handling, and incremental computation in dynamic knowledge bases. Recent Publications: Over the past two years, he has published extensively on topics such as physics-informed neural networks in federated learning, credulous acceptance in high-order frameworks, and complexity of epistemic argumentation. His work emphasizes formal logic, algorithm design, and uncertainty handling in AI systems.

• Antenna Design
• Microwave Engineering
• Dielectric Spectroscopy
• +3 more

Emilio ARNIERI is an Associate Professor at the Department of Computer, Modeling, Electronics and System Engineering (DEIS) of the University of Calabria , Italy. His research focuses on microwave engineering , antenna design , and satellite communication systems , with particular emphasis on phased arrays , dielectric spectroscopy , and 5G/6G technologies . Academic Rank: Associate Professor Key Research Areas: Antenna Design, Microwave Sensors, Millimeter-Wave Communication Current Affiliation: University of Calabria (DEIS department) His recent work explores K/Ka-Band systems for SatCom-on-the-Move , hybrid multi-band sensors for microfluidic applications, and low-profile antennas for automotive and satellite use. Publications from 2023-2025 reveal a focus on dielectric spectroscopy , beamforming , and SIW (Substrate Integrated Waveguide) technology. Notable projects include the QV-Lift Project for satellite ground segments and BiCMOS integration for high-frequency applications. Recent articles indicate expertise in transmitarray antennas , vector modulators , and reconfigurable intelligent surfaces for 5G backhaul systems. Collaborations span satellite communication , automotive radar , and millimeter-wave infrastructure .

Crescenzo PepeView profile

Research Fellow

• Control Theory
• Industrial Automation
• Process Control
• +12 more

Crescenzo Pepe is a Research Fellow and Adjunct Professor at Marche Polytechnic University . His work bridges control theory and industrial automation , focusing on Industry 4.0 solutions for monitoring, optimization, and predictive maintenance in diverse sectors including steel, cement, water distribution, HVAC, hydroelectric power, and district heating. Education : B.Sc. and M.Sc. in Computer and Automation Engineering (2010, 2013), Ph.D. in Information Engineering (2017) from Marche Polytechnic University. His research centers on advanced process control , model predictive control , and process modeling , with applications in energy-intensive industries. Recent publications highlight his expertise in integrating Industry 4.0 technologies with traditional control systems, particularly for energy efficiency and real-time optimization in steel and hydroelectric plants. He also explores fuzzy logic for fault detection in industrial machinery. Pepe has co-authored over 40 publications and two Italian patents, contributing to more than 20 industrial control projects. While no specific awards are listed in the provided text, his roles as reviewer, editor, and board member for academic conferences and journals underscore his influence in the field. He has collaborated with researchers like Silvia Maria Zanoli and Giorgia Farella.

• Computer architectures and Computer aided design
• Data science
• Computer vision and AI
• +3 more

Walter Gallego Gomez is a PhD Student in Computer and Systems Engineering (39th cycle, 2023-2026) and an External Lecturer/Teaching Assistant at the Department of Control and Computer Science (DAUIN) of the Polytechnic University of Turin. His academic and research journey is supported by an EBRAINS-Italy research grant. Bachelor's in Electronic Engineering (University of Antioquia, 2015) Master's in Computer Engineering (Polytechnic University of Turin, 2018) His research intersects life sciences and computer science, focusing on bioinformatics algorithms, neuromorphic hardware (Loihi2/Lava), and their implementation. He collaborates with the Electronic Design Automation (EDA) group and external entities like Candiolo Oncology Center and Telluride Neuromorphic Cognition Engineering workshop. Teaching roles include System-on-chip architecture (2024/25) and Applied AI and machine learning (2023/24-2024/25) as a course collaborator. Recent publications highlight trends in somatic structural variant detection and neuromorphic ecosystem benchmarking. His work spans automotive embedded systems (Marelli, 2018-2021), academic research assistantship (2021-2023), and interdisciplinary collaborations.

• Computer architectures
• Computer-aided design
• Data science
• +7 more

Robert Alexander Limas Sierra is a Lecturer at the Department of Control and Computer Science (DAUIN) at Politecnico di Torino, Italy. He is also a PhD student in Computer and Systems Engineering, 38th cycle (2022-2025), affiliated with the CAD research group and an IEEE student member. B.S./M.Sc. in Electronic Engineering (2019/2022) - Universidad Pedagógica y Tecnológica de Colombia His research focuses on computer architectures, AI/ML, GPU computing, and hardware reliability . Key themes include neural network robustness, tensor core optimization, and fault tolerance in AI accelerators. Recent publications address self-testing libraries for GPUs, CNN error mitigation, and reliability implications of edge computing. Teaching activities include collaboration in Computer Sciences and Automotive Engineering courses (2023/24 and 2024/25 academic years).

Valentina GatteschiView profile

Associate Professor

• Blockchain
• Ethereum
• Human-computer interaction
• +6 more

Valentina Gatteschi is an Associate Professor at the Department of Control and Computer Engineering (DAUIN) at the Polytechnic University of Turin, Italy. She is a member of the GRAphics and INtelligent Systems (GRAINS) research group and has been actively involved in teaching and research in the fields of blockchain technology, human-computer interaction, and distributed systems. Dr. Gatteschi received her BSc and MSc degrees in management engineering and her PhD degree in computer engineering from Politecnico di Torino in 2005, 2008, and 2013, respectively. Her research focuses on blockchain technology, smart contracts, and their applications across various domains. She has made significant contributions to understanding how blockchain can be applied in areas such as decentralized finance, sustainable mobility, energy data marketplaces, and digital identity. Her work often bridges the gap between theoretical blockchain concepts and practical implementations, with a particular emphasis on user experience and system integration. She has led several research projects including "B4A - Blockchain for All" (2023-2025), which aims to make blockchain technology more accessible to diverse user groups. Her recent publications reveal a strong trend toward practical blockchain applications, particularly in sustainability contexts (CO2 tracking, circular economy), finance (DeFi), and transportation (smart mobility solutions). She has also been exploring the intersection of blockchain with emerging technologies like large language models for smart contract generation and analysis. Dr. Gatteschi serves as a supervisor for PhD students working on blockchain-related topics, including Alberto Butera (researching Blockchain Technology for Intelligent Vehicles) and Emanuele Antonio Napoli (analyzing smart contracts). She has been involved in multiple research projects funded by both national and commercial sources, demonstrating the practical relevance of her work to industry and government sectors. She is actively involved in teaching courses related to information visualization, digital transformation technologies, and database systems at both undergraduate and graduate levels at the Polytechnic University of Turin.

• Experimental mechanics
• Multibody dynamics
• Multibody systems
• +13 more

Nicola Bosso is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin, Italy. He serves as a member of the College of Mechanical, Aerospace and Automotive Engineering and has been continuously involved in the PhD program in Mechanical Engineering for multiple cycles from 2015/2016 through 2024/2025. His academic career spans over a decade of teaching and research in mechanical engineering with a strong emphasis on railway systems and multibody dynamics. Research Focus: Professor Bosso specializes in experimental mechanics and multibody dynamics with particular expertise in railway dynamics, monitoring systems, and vehicle dynamics. His research encompasses roller rig testing methodologies, wear analysis of materials, and wheel-rail contact mechanics. His work aligns with several Sustainable Development Goals including Industry, Innovation and Infrastructure (Goal 9), Sustainable Cities and Communities (Goal 11), Responsible Consumption and Production (Goal 12), and Climate Action (Goal 13). His research integrates computational engineering with experimental validation to address complex railway engineering challenges. Publication Trends: Recent publications demonstrate a strong focus on digital twin technology for freight wagon monitoring, advanced wear simulation algorithms, and thermo-mechanical interactions in braking systems. His work increasingly combines AI techniques with traditional engineering approaches, reflecting the evolving nature of railway engineering research. The publications span conference proceedings and journal articles in high-impact railway engineering venues. Advising and Research Leadership: Professor Bosso has supervised PhD students including Matteo Magelli (35th cycle, 2019-2023), whose thesis focused on numerical and experimental tools for train braking simulations. He leads numerous research projects including AI4FREIGHT (2025-2029), a Railway Freight Wagon Monitoring System based on Digital Twins, and various consulting projects with railway industry partners. His research portfolio spans competitive national grants, regional innovation centers funding, and commercial contracts with railway technology companies. Research Infrastructure: He is affiliated with the Design and experimentation of industrial and railway systems and microsystems (DIMEAS) research group, where he contributes to the development of testing methodologies and simulation tools for railway applications. His work involves close collaboration with industry partners on practical railway engineering challenges, including derailment prevention, vehicle dynamics optimization, and innovative testing equipment development.

Biagio CosenzaView profile

Associate Professor

• High-performance computing
• Compiler technology
• Software optimization
• +7 more

Biagio Cosenza is an Associate Professor at the Department of Computer Science, University of Salerno, Italy. He leads research in high-performance computing, compiler technology, and software optimization. Previously, he was a Senior Researcher at TU Berlin (2015-2019) and a Post-Doctoral Researcher at the University of Innsbruck, Austria (2011-2015). His educational background includes: Ph.D. from University of Salerno (2011), supervised by Prof. Vittorio Scarano Dr. Cosenza's research focuses on creating efficient programming models for heterogeneous computing systems. His work spans compiler technology, automatic performance tuning, and energy-efficient computing approaches. He has made significant contributions to SYCL-based programming models and MPI implementations, with emphasis on portability across diverse hardware platforms including GPUs and accelerators. His research often bridges theoretical computer science with practical applications in scientific computing and bioinformatics. His recent publications demonstrate a strong trend toward heterogeneous and distributed computing, with particular emphasis on energy efficiency, performance portability, and SYCL-based programming models. Many papers focus on applications in drug discovery and scientific simulations, showing how his theoretical work translates to real-world scientific problems. Dr. Cosenza has received several prestigious recognitions: Best Paper Award at the 14th BenchCouncil International Symposium (2022) Elevated to Senior Member of the IEEE (2022) Recognized as ACM Senior Member (2022) He leads multiple significant research projects including the PRIN 2022 project "LibreRT" and the EuroHPC project "LIGATE." His work has secured substantial funding from sources including the German Research Foundation (DFG), the Italian Ministry of Education, University and Research, and EuroHPC. He actively mentors students and collaborators on advanced topics in high-performance computing. Dr. Cosenza is a member of the ISIS Lab at the University of Salerno and contributes to open standards through his work with the Khronos Group and SYCL Working Group. His research group develops tools like CELERITY, a C++ SYCL-based programming model for accelerator clusters, and EMPI, an enhanced message passing interface in modern C++.

• Cryptography
• Post-Quantum Cryptography
• Cryptanalysis
• +3 more

Guglielmo Morgari is a researcher at the Department of Mathematical Sciences 'G. L. Lagrange' (DISMA) at Politecnico di Torino. He serves as an external tutor for PhD students in the Cryptography and Number Theory research group, advising Elena Broggini, Marco Rinaudo, Giuseppe D'Alconzo, and Edoardo Signorini. His research focuses on cryptography, post-quantum security, and cryptanalysis. Current Affiliation: Politecnico di Torino, DISMA Academic Role: Researcher (external tutor) Research areas include: Cryptography Quantum Key Distribution Public-Key Cryptosystems Coding Theory Cryptanalysis Recent publications emphasize quantum-safe communication infrastructure, post-quantum encryption adaptations, and cryptographic sequence analysis. His work spans theoretical foundations and hardware implementations like quantum random number generators.

• Energy analysis
• Energy communities
• Energy efficiency
• +7 more

Romano Borchiellini is a Full Professor in the Department of Energy (DENERG) at the Polytechnic University of Turin, Italy, serving as Rector's Representative for the Energy Center and Coordinator of the Interdepartmental Center Ec-L - Energy Center Lab. His academic work spans energy systems engineering with significant contributions to both theoretical research and practical applications in sustainable energy and safety engineering. Professor Borchiellini's research focuses on energy analysis, energy communities, energy efficiency, fire safety, and tunnel ventilation systems. His work bridges fundamental thermal engineering with practical sustainability applications, particularly in urban energy systems and transportation infrastructure. He has developed expertise in industrial technical physics with applications ranging from renewable energy communities to tunnel safety engineering, aligning with multiple UN Sustainable Development Goals including affordable clean energy, industry innovation, sustainable cities, and climate action. His recent publications demonstrate a clear research trajectory toward decarbonization strategies, renewable energy integration, and safety considerations for emerging energy technologies. The publications reveal increasing focus on hydrogen technologies, battery safety systems, and advanced ventilation solutions for transportation infrastructure, reflecting evolving energy transition challenges. His work consistently connects engineering fundamentals with practical sustainability applications across multiple sectors. Professor Borchiellini has supervised PhD students including Roberto Paglini (focusing on methane emission reporting) and Azad Hamzehpour (researching water mist systems for fire applications). He has secured numerous research grants from competitive calls, regional funding programs, national PRIN projects, and corporate partnerships, demonstrating strong research leadership and funding acquisition capabilities across multiple domains. He leads the Research Group M3ES within DENERG and coordinates the Energy Center Lab at Politecnico di Torino, which serves as an interdisciplinary hub for energy transition research. The laboratory work focuses on thermal systems analysis, energy efficiency optimization, and safety engineering applications, with particular emphasis on practical implementation in urban environments and transportation infrastructure.

• Energy Systems Optimization
• Hydrogen Energy
• Renewable Energy Integration
• +3 more

Marco Cavana is a Fixed-term Assistant Professor at the Department of Energy (DENERG), Polytechnic of Turin, affiliated with the College of Electrical and Energy Engineering. His academic career spans teaching roles across Energy and Nuclear Engineering, Mechanical Engineering, and Electrical Engineering programs as a Course Collaborator. PhD Supervision: Mentoring three doctoral students in Energetics (38th and 39th cycles) Research Focus: Specializing in thermal engineering, hydrogen energy systems, and energy network optimization Commercial Research: Leading a 2023-2024 feasibility study for green hydrogen in Uzbekistan's Karshi region His work bridges renewable energy integration with gas networks through hydrogen technologies, addressing critical energy transition challenges in both academic and industrial contexts.

• Electrical Engineering
• Power Systems
• Smart Grids
• +6 more

Pietro Colella is an Associate Professor at the Department of Energy (DENERG) , Politecnico di Torino , with roles as a Junior Project Manager and active researcher. Research interests: Electrical Energy Systems , Data Science , Electrical Safety , and alignment with SDG 7 (Affordable Clean Energy), SDG 9 (Innovation), and SDG 12 (Sustainable Development). Awards: Mentoring Polito Project (M2P) (2024), Learning to Teach (L2T) (2023). Scientific roles: President of AEIT's Youth Group (2022-2024), Editorial Board Member for Smart Cities (2020-2022). Teaching contributions: Titolare del corso for Impianti Elettrici e Sicurezza (2022-2025), Collaboratore del corso for Electrical Systems for Buildings (2022-2025). Research leadership: Responsabile Scientifico for projects like NeTS (DC Smart Grids for Transport, 2025-2027), OASIS 4 ENERGY (Ancillary Services Market Design, 2023-2025), and Electrical Risk Assessment in GTT S.p.A (2025-2026).