Luis Alberto Barron Cedeno is an Associate Professor at the Department of Interpretation and Translation, University of Bologna since 2022, where he previously served as Senior Assistant Professor from 2019-2022. He holds a PhD in Computer Science from Universitat Politècnica de València (2012) and has worked at Qatar Computing Research Institute (2014-2019) and TALP Research Center (ERCIM fellowship, 2012-2014). PhD: Universitat Politècnica de València (2012) MSc: AI (Universitat Politècnica de València, 2009) MSc: Computing Science (UNAM, 2007) BEng: Computing (UNAM, 2004) His research focuses on NLP applications for analyzing text qualities like originality (plagiarism detection) and intent (hate speech, propaganda). Recent work includes persuasion techniques in spam emails , misogyny detection using argumentation theory, and Spanish language varieties analysis. He has published over 100 papers with 20+ in top-tier conferences. Key awards include SemEval 2020 Best Task for propaganda detection and ACL 2020 Best Demo . He serves as Specialty Chief Editor for Frontiers in Artificial Intelligence (NLP) since 2023. His students include PhD candidates Arianna Muti (misogyny detection), Katerina Korre (hate speech), and Paolo Gajo (inceldom analysis). 2020: SemEval Best Task 2020: ACL Best Demo 2012: PhD International Mention 2009: Best MSc Thesis 2007: MSc Cum Laude 2004: BEng Cum Laude He organizes the annual CheckThat! lab at CLEF since 2018 and chaired CLEF 2022. His teaching includes NLP courses, computational linguistics, and game localization for translation students.
Deborah Volpe is a Part-Time Lecturer at the Department of Electronics and Telecommunications (DET), Politecnico di Torino. She actively contributes to teaching in the Master of Science in Microelectronic Systems and Quantum Hardware Design courses since 2022. Her research focuses on quantum computing, optimization algorithms, and FPGA development for quantum-classical hybrid systems. Teaching: Microelectronic Systems (2022–2024), Quantum Hardware Design (2024) Collaborations: Quantum Engineering and FPGA-based quantum emulation Recent publications (2024–2025) highlight applications of quantum optimization in satellite operations and FPGA-based quantum circuit emulation. She supervises doctoral student Christian Conti and participates in interdisciplinary research teams for quantum hardware projects.
Tommaso Calo' is a Research Fellow at the Department of Control and Computer Science (DAUIN) at Polytechnic University of Turin. He serves as an external teacher and teaching assistant, contributing to various courses in Computer Engineering and Engineering and Management programs. His research focuses on the intersection of Human-Computer Interaction, Artificial Intelligence, and UI/UX design. Specifically, he explores: Generative AI applications in UI design Code generation from visual designs Visual prompting modalities for AI-assisted design Intelligent tutoring systems and educational technology Algorithms and tools for creating interactive systems Dr. Calo' has been actively involved in teaching Human Computer Interaction courses across multiple academic years (2022/23-2024/25) for Computer Engineering students, as well as contributing to courses like Image Processing and Computer Vision, and Introduction to Web Applications. His research output shows a strong focus on AI-enhanced design tools and methodologies, with multiple publications in 2025 covering topics from visual prompting to synthetic exercise generation for educational systems. His work with the ELITE - Intelligent and Interactive Systems research group demonstrates practical applications of AI in design workflows, particularly through projects that bridge design tools like Figma with web implementation and explore how visual prompts can effectively guide generative AI systems in UI creation.
Nicolo' Abrate is a Fixed-term Researcher at the Department of Energy (DENERG) at Polytechnic University of Turin. His scientific disciplinary sector is IIND-07/C - Nuclear Reactor Physics within Area 0009 - Industrial and Information Engineering. He serves as an invited member of both the College of Biomedical Engineering and the College of Electrical and Energy Engineering. Dr. Abrate's research focuses on nuclear reactor physics, neutron transport theory, and computational methods for nuclear applications. His work spans multiple areas including: Nuclear reactor physics and transport theory Monte Carlo methods for reactor analysis Nuclear safety and risk analysis Nuclear data uncertainty propagation Thermal-hydraulic analysis of advanced reactors Fusion reactor design and analysis His recent publications demonstrate expertise in lead-cooled fast reactors, molten salt reactors, and fusion reactor technologies, with a particular focus on computational methods and uncertainty quantification across multiple reactor systems. Dr. Abrate has received several prestigious awards: PhD Talent Award from the Italian Nuclear Association (AIN) in 2024 Annual ENEN PhD Prize from the European Nuclear Education Network Association in 2022 Outstanding Student Paper Award from the American Nuclear Society at the PHYSOR Conference in 2022 He actively supervises three PhD students working on advanced nuclear reactor technologies and serves as a course collaborator for multiple nuclear engineering courses across bachelor's, master's, and doctoral levels. His research is supported by competitive EU-funded projects including ENDURANCE, which focuses on molten salt reactor safety development and deployment (2024-2028). Dr. Abrate is a member of the NEMO Research Group within DENERG, contributing to cutting-edge research in nuclear engineering and energy systems through interdisciplinary collaboration with multiple institutions.
Omar Marello is a Fixed-term Assistant Professor at Politecnico di Torino, affiliated with the Department of Energy (DENERG) within the College of Mechanical, Aerospace, and Automotive Engineering. He specializes in Internal Combustion Engines, Sustainable Transportation, and Emission Control, with a focus on alternative fuels like Hydrotreated Vegetable Oil (HVO) and engine modeling. Teaching roles include course collaborations in Propulsion Systems, Combustion and Gas Dynamics, and Pollutant Emission Control for Automotive and Mechanical Engineering programs since 2019. His research emphasizes vehicle energy consumption modeling, HVO fuel analysis, NOx prediction, and real-time combustion control algorithms. Publications highlight advancements in diesel engine transient simulations, vibro-acoustic performance, and calibration strategies for sustainable fuels.
Oscar Vento serves as a Fixed-term Assistant Professor in the Department of Energy (DENERG) at Politecnico di Torino, Italy, within the College of Mechanical, Aerospace, and Automotive Engineering. His academic responsibilities span teaching Computational Heat and Mass Transfer at the PhD level in Energetics and Fluid Machines across Bachelor's and Master's programs in Mechanical Engineering since the 2019/20 academic year through current 2025/26 offerings. Research Focus: Dr. Vento's work centers on fluid machinery and thermal systems, with emphasis on internal combustion engines, fuel injection technologies, and sustainable energy solutions. His expertise includes Gasoline Direct Injection (GDI) systems, cavitation phenomena, thermal-hydraulic performance analysis, and real-time control methodologies for fuel systems. Research aligns with UN Sustainable Development Goals 7 (Clean Energy), 9 (Innovation), 11 (Sustainable Cities), and 12 (Responsible Consumption). Publication Trends: Recent publications (2022-2025) demonstrate consistent focus on experimental and numerical investigations of fuel injection dynamics, with increasing emphasis on alternative fuels (ammonia), neural network applications, and transient flow measurement techniques. Research bridges fundamental fluid mechanics with practical automotive engineering challenges, particularly in emission reduction and energy efficiency. Advising and Intellectual Property: Co-supervises PhD candidate Carmelo Baronetto (Energetics program, 39th cycle, 2023-present) Holds national patent: System and method for measuring injected flow rate using a neural network (with Ferrari and Novara) Cod holds national/international patents: Control of the quantity injected into internal combustion engines (with Ferrari, Novara, Violante, Zhang) Research Context: Collaborates extensively within Alessandro Ferrari's research group, with publications spanning ENERGY, FUEL, ENERGIES, and Journal of Fluid Mechanics. Work addresses critical challenges in sustainable transportation through advanced diagnostics, control systems, and alternative fuel combustion research.
Raffaella Testoni is an Associate Professor at the Department of Energy (DENERG) within Politecnico di Torino. She serves as a member of the College of Electrical and Energy Engineering and contributes to teaching in both PhD and Master's programs. Research interests: Nuclear energy and engineering, nuclear fusion, radioactive waste management Key skills: Energy processes engineering (ERC PE8_6), climate action (SDG 13), clean energy (SDG 7) Her recent publications focus on ARC-class fusion reactor design, including neutron activation studies, thermal modeling, and safety assessments. She leads commercial research contracts with NewCleo SpA and collaborates on international projects like the Inter-University Center for Peace Studies (CISP). PhD students under her supervision include Gabriele Iob (multiphysics modeling), Danilo Caterino, Serena Crobu, Alessandro Morandi, Antonio Zurzolo, Davide Pettinari, Gabriele Ferrero, Ciro Alberghi (MHD and tritium transport), and Samuele Meschini (tokamak safety assessment).
Alessandra Sciutti serves as a Tenure Track Researcher and head of the CONTACT (COgNiTive Architecture for Collaborative Technologies) Unit at the Italian Institute of Technology (IIT), where she leads cutting-edge research at the intersection of robotics, cognitive science, and human interaction. Her work fundamentally explores how humans and artificial agents can develop mutually adaptive collaborative relationships. Her educational background includes B.S. and M.S. degrees in Bioengineering followed by a Ph.D. in Humanoid Technologies, establishing a strong foundation for her interdisciplinary research approach. These qualifications directly inform her experimental methodologies and technical implementations in social robotics. Sciutti's research program centers on Human-Robot Interaction with specialized expertise in social robotics for child development , cognitive architectures for collaboration , and neuroscience-inspired human-robot interfaces . She employs rigorous experimental paradigms to investigate spatial attention mechanisms, imitation dynamics, and learning processes in human-robot teams, frequently utilizing humanoid platforms like iCub and Nao to study developmental and social phenomena. Analysis of her 2025 publications reveals a cohesive research trajectory examining bidirectional influence in human-robot systems. Key themes include the impact of robotic tutors on learning outcomes, context-dependent sensory processing in collaborative scenarios, and technical innovations for safe physical human-robot interaction. Her work consistently bridges theoretical cognitive science with practical robotic implementations, particularly in educational contexts involving children. As an influential figure in her field, Sciutti serves as Specialty Chief Editor for Human-Robot Interaction at Frontiers in Robotics and AI, while also contributing as Review Editor and Guest Associate Editor for Frontiers in Integrative Neuroscience. Her editorial leadership shapes research directions in social robotics and cognitive neuroscience. She directs the CONTACT Unit at IIT, which functions as an interdisciplinary hub developing cognitive architectures that enable natural, context-aware collaboration between humans and robots. The unit's research integrates computer vision, machine learning, and cognitive modeling to create systems that understand and respond to human social cues and physiological states during interaction.
Marco Gherlone is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Politecnico di Torino. He obtained his M.S. degree in Aerospace Engineering at POLITO in 1999 and his Ph.D. in 2003. He became assistant professor in Aircraft Structures in 2005, associate professor in 2014, and full professor in 2020. From 2018 to 2024, he served as coordinator of the Ph.D. program in Aerospace Engineering at POLITO. He has been a visiting researcher at the National Institute of Aerospace (USA) in 2007, 2011, and 2012. His educational background includes: M.S. in Aerospace Engineering, Politecnico di Torino (1999) Ph.D., Politecnico di Torino (2003) Professor Gherlone's research focuses on composite materials and structural analysis, with particular emphasis on: Higher-order theories for multilayered composite and sandwich structures Structural optimization Impact problems Inverse methods for structural health monitoring Analysis of damaged composite structures and damage detection His recent publications reveal a strong focus on shape sensing, structural health monitoring, and advanced finite element methods for composite structures. He has developed expertise in the Refined Zigzag Theory for analyzing complex composite structures, with applications ranging from aerospace to hydrogen storage systems. Professor Gherlone has received notable recognition including: The Composite Structures Award 2007 conferred by Elsevier, Netherlands He serves on the editorial boards of Sensors (since 2021) and Shock & Vibration (since 2018). As an educator, Professor Gherlone has supervised 4 Ph.D. students and co-supervised 2 others, along with 134 M.S. theses and 203 B.S. theses. He currently supervises 3 Ph.D. students and co-supervises 1. His teaching includes "Aircraft structures" and "Aerospace structures dynamics" for the M.S. degree program, and previously taught "Fundamentals of structural mechanics" for the B.S. degree program. He leads the AESDO (Aircraft and Engine Structural Design and Optimization) research group and has been involved in numerous research projects funded by the Piedmont Region, Italian Ministry of University and Research, European Commission, and industry contracts with aerospace and automotive companies.
Giuliana Mattiazzo is a Full Professor in the Department of Mechanical and Aerospace Engineering at the Polytechnic University of Turin. She serves as Vice Rector for Scientific and Technological Innovation and holds multiple leadership positions including Member of the Board of Governors (without voting rights), Member of the Academic Senate (without voting rights), and Member of the Interdepartmental Center Ec-L - Energy Center Lab. She also presides over several important committees including the University Committee for Research, Technology Transfer and Services to the Community, the Patent Commission, and the Commission for evaluating Polito Spin-Offs and Start-Ups. Professor Mattiazzo's research focuses on marine renewable energy technologies, particularly wave energy conversion and offshore wind systems. Her work spans from mathematical modeling and numerical simulation to physical testing in wave tanks and at sea. She leads the MORE (Marine Offshore Renewable Energy) Lab, which specializes in offshore renewables with a focus on developing analysis methods, design, and testing of marine energy powerplants. Her research interests include energy storage, fluid mechanics, marine energy, offshore wind turbines, smart grids, and wave energy converters, with applications toward achieving several UN Sustainable Development Goals including affordable and clean energy, industry innovation, sustainable cities, responsible consumption, and climate action. Her recent publications (2023-2025) demonstrate a strong focus on hybrid energy systems that combine wind and wave energy conversion, with particular attention to control strategies, uncertainty modeling, and system optimization. The research shows a clear progression toward integrated multi-source renewable energy platforms that maximize energy capture while ensuring structural integrity. Her work addresses both theoretical aspects of energy conversion and practical implementation challenges for real-world deployment, particularly in Mediterranean island contexts. Scientific Committee member - Comitato Tecnico CEI CT 114 'Marine energy - Wave, tidal and other water current converters', Italy (2018-) Scientific Committee member - National Cluster BIG (Blue Italian Growth), Italy (2018-) Editorial board member - Journal of Marine Science and Engineering (2020-2021) Professor Mattiazzo actively supervises numerous PhD students across multiple cycles (35th-40th) in Mechanical Engineering, Energy Engineering, and related fields. Her research portfolio includes substantial grant funding from competitive calls including EU Horizon programs (MSCA, H2020), National Research projects, and numerous commercial collaborations with major energy companies including ENI, EDF, and Intesa Sanpaolo. She has coordinated multiple research projects focused on wave energy conversion, offshore wind platforms, and integrated marine energy systems, with particular emphasis on applications for Mediterranean islands like Pantelleria. She leads the MORE Lab research center at Politecnico di Torino, which has extensive experience in marine energy technology development and transfer. The lab collaborates closely with industry partners and has been instrumental in developing several patented technologies including the ISWEC (Inertial Sea Wave Energy Converter) wave converter, which represents the world's first hybrid and distributed wave power and photovoltaic power plant.
Stefano Scialò is an Associate Professor at the Department of Mathematical Sciences (DISMA) at the Polytechnic University of Turin. He is also a member of the Interdepartmental Center Ec-L - Energy Center Lab and serves as Academic Advisor for Mathematics for Engineering. His academic journey at Politecnico di Torino began with a Master's degree in Aerospace Engineering (2007), followed by a PhD in Mathematics for Engineering (2014), after which he progressed from postdoctoral fellow to Assistant Professor and ultimately to his current position as Associate Professor. Scialò's research focuses on advanced numerical methods with particular emphasis on Virtual Element Methods (VEM), development of discretization strategies for non-conforming meshes, and numerical approaches for coupled problems with high dimensionality gaps (3D-1D). His work addresses flow simulation in complex geometries, PDE-constrained optimization, and uncertainty quantification techniques. He has made significant contributions to the development of domain decomposition strategies based on optimization approaches, which have applications in porous media flow, fracture modeling, and biomedical simulations. Analysis of his recent publications reveals a consistent focus on extending and refining the Virtual Element Method framework, particularly for challenging applications involving complex geometries, fractures, and multi-dimensional coupling. His work demonstrates a strong integration of theoretical development with practical implementation, often targeting high-performance computing environments. The research spans multiple application domains including geoscience, biomedical engineering, and computational fluid dynamics, showcasing the versatility of his numerical approaches. Scialò actively supervises graduate students, with Matteo Trombini currently pursuing a PhD under his guidance in the Mathematical Sciences program. He contributes to multiple research projects, most notably as Scientific Director of the FREYA project (2023-2026) focused on fault reactivation modeling. His teaching portfolio is extensive, covering advanced numerical methods, scientific computing, and mathematical foundations across various engineering disciplines at both undergraduate and graduate levels. He participates in multiple research networks including the INdAM-GNCS Project (2018-2019) and aligns his work with Sustainable Development Goals related to quality education, industry innovation, and sustainable cities. His research group within DISMA focuses on Numerical Analysis and Scientific Computing, with particular expertise in 3D-1D coupled problems.
Marco Actis Grande is a Full Professor at Politecnico di Torino in the Department of Applied Science and Technology (DISAT), where he leads research in metallurgy and materials engineering. He is also a member of the Interdepartmental Center Photonext for Applied Photonics. His academic career includes multiple visiting professor positions at Tongji University in China, where he served as Full Professor and Associate Professor from 2011 to 2020. Dr. Actis Grande's research interests focus on aluminum alloys, powder metallurgy, precious metals, soft magnetic materials, and stainless steel. His work spans fundamental materials science and applied industrial research, with particular emphasis on sustainable manufacturing processes. He has made significant contributions to the understanding of powder-based manufacturing techniques, including additive manufacturing and traditional powder metallurgy processes. His recent publications demonstrate expertise across multiple domains within materials science, with particular focus on powder production, additive manufacturing of metals, soft magnetic composites, and sustainable materials processing. His research group actively investigates methods to improve material properties through innovative processing techniques and novel material compositions. Dr. Actis Grande has received the National Scientific Qualification (Level II) from the Italian Ministry of Education, University and Research. He serves on the editorial boards of Acta Metallurgica Slovaca and Powder Metallurgy Progress, and has been active in the WorldPM and EUROPM conference series, serving on program committees and as program chair. He has supervised multiple PhD students in materials science programs and leads numerous research projects funded by competitive calls, corporate partnerships, and international collaborations. His work bridges academic research with industrial applications across sectors including aerospace, automotive, and jewelry manufacturing.
Davide Ferretto is an Assistant Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Politecnico di Torino. He received his PhD in Aerospace Engineering from Politecnico di Torino in 2020 with a dissertation on hypersonic transportation systems. His academic roles include teaching courses on aerospace systems and high-speed flight technologies, and supervising PhD students in aerospace engineering. Dr. Ferretto's research focuses on: Aircraft conceptual design for conventional and high-speed configurations Model-Based Systems Engineering approaches Life cycle cost assessment for aerospace systems Sustainable aviation technologies Environmental impact analysis of supersonic/hypersonic flight He actively contributes to European research projects (H2020/HE) focused on sustainable aviation and digital transformation in aerospace design. His publications primarily focus on sustainable aviation solutions, high-speed vehicle design, and thermal management systems. Recent works explore hydrogen propulsion, supersonic aircraft optimization, and life cycle cost analysis for hypersonic transport. Awards & Recognition: Premio di Qualità 2019 from Politecnico di Torino Research Leadership: He co-supervises PhD candidates Fabrizio Borgna and Giuseppe De Bari, and participates in the research group 'Design of aerospace systems and technologies (DIMEAS)'. Dr. Ferretto holds memberships in the American Institute of Aeronautics and Astronautics (AIAA) and Italian Association of Aeronautics and Astronautics (AIDAA), serving on technical committees for Systems Engineering and Hypersonic Technologies.
Mauro Mancini is a Fixed-term Assistant Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Politecnico di Torino. He belongs to the College of Mechanical, Aerospace, and Automotive Engineering and specializes in Flight Mechanics (Scientific disciplinary sector IIND-01/C) within Area 0009 - Industrial and Information Engineering. Dr. Mancini teaches multiple courses across various degree programs including Aerospace Engineering and Mechatronic Engineering. His teaching portfolio includes Advanced Flight Dynamics: Modeling and Simulation, Control Systems Design for Spacecraft Attitude Dynamics at PhD level, and Fundamentals of Flight Mechanics at undergraduate level. He has also delivered lectures for the English-taught Program at Ho Chi Minh City University of Technology. His research focuses on aerospace control systems with particular emphasis on spacecraft attitude dynamics, UAV control, and autonomous systems. Dr. Mancini employs advanced control techniques including sliding mode control, artificial potential fields, and adaptive control strategies to address challenges in spacecraft maneuvering, orbital dynamics, and precision agriculture applications. His work demonstrates strong interdisciplinary connections between aerospace engineering, robotics, and agricultural technology. Analysis of Dr. Mancini's publication record reveals a consistent research trajectory in spacecraft attitude control and autonomous vehicle systems. His work shows expertise in sliding mode control techniques applied to spacecraft with actuator constraints, orbital simulation for target inspection maneuvers, and precision agriculture applications. A notable trend is the integration of artificial potential fields with advanced control methodologies to solve complex navigation and maneuvering problems in both space and terrestrial environments. Dr. Mancini actively supervises three PhD students: Pierantonio Bertuccio, Jean-Luc Sarvadon, and Riccardo Enrico (whose research focuses on robust control of UAV under uncertain conditions). He has secured commercial research contracts including a 2024 Flight Mechanics project as Scientific Manager and previous collaborations with Ho Chi Minh City University of Technology. He is a member of the Dynamics, Control and Flight Simulation research group at DIMEAS, where he contributes to advancing aerospace control methodologies and their practical applications in both academic and commercial contexts.
Angelo Domenico Vella serves as a Fixed-term Assistant Professor in the Department of Mechanical and Aerospace Engineering (DIMEAS) at Politecnico di Torino, actively contributing to the Collegio di Ingegneria Meccanica, Aerospaziale e dell'Autoveicolo. His teaching portfolio spans multiple academic years (2019/20–2025/26) across Automotive Engineering and Mechanical Engineering degree programs, with core responsibilities in Vehicle Dynamics Simulation and Motor Vehicle Mechanics courses. His research centers on advanced vehicle dynamics, emphasizing off-road tire-terrain interaction modeling, electric micro-mobility systems (particularly electric kick scooters), and automotive testing methodologies. Key methodologies include numerical simulation, experimental validation, and parameter estimation techniques applied to soft soil mechanics, scale vehicle electrification, and biomechanical analysis of rider dynamics. This work bridges theoretical mechanical engineering principles with practical automotive challenges in emerging mobility sectors. Recent 2024 publications presented at SAE WCX and IFToMM Italy conferences demonstrate a cohesive research trajectory focused on improving vehicle performance prediction through tire modeling innovations, testing protocol development for electrified systems, and safety analysis of micro-mobility devices. The publications consistently integrate computational and experimental approaches to address real-world automotive engineering problems. No scientific awards are documented in the available institutional profile. Information regarding graduate student advising, research grants, or laboratory leadership is not disclosed in the current public records.
