Find Academic Supervisors

• Industrial Engineering
• Safety Engineering
• Logistics and Supply Chain Management
• +5 more

Francesco LOLLI is an Associate Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Engineering Sciences and Methods. His research focuses on industrial safety, sustainable manufacturing systems, logistics optimization, and ergonomic risk assessment. He actively contributes to advancing Industry 5.0 applications in battery remanufacturing and additive manufacturing. His work integrates technologies like Azure Kinect for ergonomic evaluations and promotes circular economy principles in energy and waste management. Education : Advanced degrees in Industrial Engineering (not explicitly detailed in the text). Research Interests : LOLLI’s expertise spans supply chain optimization, additive manufacturing cost analysis, sustainable energy systems, and occupational safety. He has pioneered methods for ergonomic risk assessment using motion capture systems and machine learning in supply chain decision-making. Publications : His recent works emphasize AM vs conventional manufacturing trade-offs, battery remanufacturing via Industry 5.0, and the role of machine learning in logistics. He has developed tools like Auto-AzKNIOSH for automated ergonomic evaluations. Awards : No specific awards mentioned in the provided texts. Advising & Grants : Active in teaching and research supervision across multiple engineering disciplines, including Management Engineering, Computer Engineering, and Mechatronics. His projects address spare parts inventory management, energy symbiosis networks, and exoskeleton efficacy in warehouses. Lab/Teams : Collaborates on interdisciplinary teams focused on industrial symbiosis, renewable energy integration, and smart logistics systems.

• Robotics
• Multi-robot Systems
• Control Systems
• +4 more

Lorenzo Sabattini is an Associate Professor at the Department of Engineering Sciences and Methods (DISMI) at the University of Modena and Reggio Emilia, Italy. His research focuses on multi-robot systems, decentralized estimation/control, and human-robot interaction. He holds a Ph.D. in Control Systems and Operational Research from the University of Bologna (2012), and has been a Visiting Researcher at the University of Maryland (2010). He served as a founding co-chair of the IEEE RAS Technical Committee on Multi-Robot Systems from 2014–2021. His work has been recognized with awards such as the Fabrizio Flacco Young Author Best Paper Award (2018) and the IEEE RAS Most Active Technical Committee Award (2018). Research interests include multi-robot coordination, coverage control, human-robot collaboration, and Industry 5.0 applications. Notable projects involve digital twins for operator well-being, AGV fleet management, and socially acceptable robotics. He has organized workshops at IEEE ICRA, RSS, and ERF, and serves as an Associate Editor for International Journal of Robotics Research (2023–2024) and IEEE Robotics and Automation Letters (2015–2018). Publications span topics like connectivity maintenance in robot networks, multimodal stress assessment in HRC, and resilient multi-robot systems. He actively collaborates on industrial automation projects, such as the INCLUSIVE system for adaptive HMIs and autonomous depalletizing systems. His research bridges theory and practice, addressing challenges in logistics, manufacturing, and human-centric robotics.

Giovanni PetroneView profile

Professor

• Photovoltaic Systems
• Renewable Energy
• Energy Management
• +3 more

Giovanni Petrone is a Full Professor at the University of Salerno, affiliated with the Department of Information and Electrical Engineering and Applied Mathematics (DIEM). His research focuses on renewable energy systems, particularly photovoltaic (PV) technologies, energy management, and impedance spectroscopy. He has contributed extensively to advancing methods for photovoltaic system modeling, degradation analysis, and optimization under mismatched conditions. His work integrates electrical engineering, control systems, and machine learning to address challenges in smart grids, electric vehicle charging, and distributed energy resources. Prof. Petrone is actively involved in international collaborations through Erasmus+ programs, fostering academic exchanges and joint research initiatives. His publications span over two decades, addressing topics such as PV array modeling, parameter identification, and real-time monitoring frameworks. Despite not explicitly listed, his contributions imply involvement in laboratory-based research and possibly graduate supervision within his department.

• Operations Research
• Stochastic Programming
• Energy Systems
• +5 more

Patrizia Beraldi is an Associate Professor of Operations Research at the Department of Mechanical, Energy and Management Engineering (DIMEG), University of Calabria. She has been with the university since 2001, holding roles from Research Fellow to her current position. With over 80 publications, her work focuses on stochastic programming, probabilistic constraints, and their applications in energy systems, healthcare, finance, and logistics. Education: PhD in System Engineering and Computer Science (2000), University of Calabria Degree in Management Engineering (cum laude, 1995), University of Calabria Her research spans solution methods for network flow problems, stochastic programming with recourse, and probabilistic constraint modeling in diverse fields like energy procurement, drone routing, and financial optimization. Recent publications emphasize stochastic bilevel models for energy tariffs and ML-enhanced optimization frameworks. Scientific Awards: Best paper award, 2015 IMA Journal of Management Mathematics Best presentation award, ICEER Conference 2017 Best poster award, ICORES 2018 She supervises numerous master's and PhD students and leads the Financial Engineering and Risk Management Laboratory at DIMEG. Her editorial roles include Associate Editor for TOP , Algorithms , and IMA Journal of Management Mathematics .

Salvatore BarbaView profile

Professor

• Architectural Drawing
• Conservation and Restoration
• Remote Sensing
• +8 more

Salvatore Barba is a Full Professor in the Department of Civil Engineering at the University of Salerno, Italy, where he conducts research and teaching in architectural surveying, cultural heritage documentation, and digital reconstruction. He also serves as a Contract Professor at the Faculty of Architecture, University of Basilicata, Matera. His work bridges engineering, architecture, and heritage science, focusing on advanced digital methodologies. Research interests: His expertise lies in photogrammetry , remote sensing , 3D laser scanning , GIS-BIM integration , and augmented reality for cultural heritage. He investigates degradation diagnostics, low-cost survey tools, and micro-photogrammetry, emphasizing interdisciplinary and methodologically rigorous approaches to digital documentation. Publications and technology: His recent articles highlight the application of UAVs, wearable SLAM scanners, and handheld microscopes in heritage contexts. He validates instruments like the Shining 3D EinScan-Pro and develops protocols for high-accuracy documentation. His work consistently underscores the importance of expert interpretation over purely automated processes in surveying. Scientific Awards: No specific awards mentioned in the provided text. Advising and grants: While specific students and grants are not listed, he collaborates on international projects, participates in technology transfer agreements (e.g., with Dino-Lite), and contributes to methodological advancements in heritage science. His role as a faculty member implies advising graduate students in civil engineering and architectural documentation. Labs and teams: He is involved in research activities related to digital heritage documentation, likely within laboratory facilities at the University of Salerno. His collaborative work with researchers across Europe and on diverse heritage sites indicates active participation in interdisciplinary research teams focused on advanced surveying and conservation technologies.

• Information Retrieval
• Data Science
• Quantum-inspired Information Retrieval
• +2 more

Massimo Melucci serves as Associate Professor of Computer Science at the University of Padua's Department of Information Engineering, maintaining an active research and teaching profile with office location in Building DEI/G, Room 312, Padova, Italy. His instructional responsibilities include undergraduate Information Retrieval and Databases courses, alongside graduate-level Computing Methods for Data Science instruction, complemented by freely available lecture notes on information retrieval fundamentals. His research program centers on two pioneering domains: Quantum-inspired Information Retrieval , where he develops mathematical frameworks applying quantum probability to model contextual relevance and interference effects in search systems, and Algorithmic Fairness , investigating trade-offs between ranking effectiveness and equitable outcomes. These threads converge in his exploration of fairness-effectiveness optimization through eigensystems and variation modeling, while his interdisciplinary work extends into diving medicine neurophysiology , analyzing EEG-based brain connectivity disruptions in professional divers under hyperbaric conditions. Recent publication analysis (2020-2025) reveals three dominant trajectories: quantum-inspired neural architectures for multimodal sentiment analysis, rigorous fairness-effectiveness quantification in ranking algorithms, and biomedical applications of signal processing in extreme environments. He actively fosters academic collaboration through initiatives like the BIRDS workshop series and CIRCLE conference, which bridge information science, retrieval, and data science communities. His work demonstrates consistent innovation in applying non-classical probability models to information access challenges while maintaining strong connections to real-world applications in both search technology and human safety.

Daniele NardiView profile

Professor

• Cognitive Robotics
• Robotic Soccer
• Emergency Robotics
• +4 more

Daniele Nardi is a Full Professor at Sapienza University of Rome, affiliated with the Faculty of Information Engineering, Computer Science, and Statistics, and the Department of Computer, Control, and Management Engineering "A. Ruberti". He has held this position since 2000 and previously served as a researcher (1988) and associate professor (1992) at the same institution. His academic journey began with a Laurea in Electronic Engineering from Politecnico di Torino (1981) and a Specialization in Control Systems Engineering from Sapienza (1984). Research interests include: Cognitive Robotics Robotic Soccer Emergency Response Robotics Assistive Robotics for Elderly Precision Agriculture Robotics Recent article trends focus on: Synthetic data generation for agricultural monitoring LLM-driven multi-agent planning systems Signal temporal logic applications in robotics Self-supervised learning techniques Virtual reality-based HRI evaluation Embodied AI and online grounding Scientific recognition includes: IJCAI Publisher's Prize 1991 Intelligenza Artificiale award 1993 RoboCup Mid-Size II Place 1998 AAMAS Best Robotic Demo 2008 ECCAI Fellow 2009 He leads the Cognitive Robot Teams laboratory and serves as President of the RoboCup Federation since 2011. As Presidente del Consiglio d'Area in Computer Engineering since 2004, he has shaped academic governance. His teaching includes Seminars in Artificial Intelligence and Robotics at the Master in AI and Robotics program, and Complements of Programming at the undergraduate level.

• Artificial Intelligence
• Cybersecurity
• Recommender Systems
• +7 more

Eugenio DiSciascio is a Full Professor and Scientific Coordinator at the Department of Information Engineering (DEI) of the University of Bari. His research spans Artificial Intelligence, Cybersecurity, Recommender Systems, and Semantic Technologies with a focus on Trustworthy AI principles. He leads projects in healthcare informatics, user modeling through Brain-Computer Interfaces (BCI), and multimodal learning frameworks like Ducho 2.0. Key research areas include explainable AI for medical diagnosis (e.g., Alzheimer’s detection), ethical AI frameworks such as POLARIS, and adversarial defenses in recommender systems. He organizes international events like ICWE 2022 and workshops focused on cybersecurity and BCI applications. His work integrates interdisciplinary approaches, combining machine learning with neuroimaging, wearable devices, and regulatory compliance. Recent publications emphasize multimodal recommendation systems, cybersecurity in AI models, and human-centric AI development. Ongoing projects include NeuroSense (EEG-based emotion detection) and ARIEL (BCI-driven emotional support systems). He contributes to standards for trustworthy AI through frameworks like POLARIS, addressing ethical, legal, and social implications of AI technologies. DiSciascio’s lab, SisInf Lab, explores intelligent systems in software engineering, big data, and IoT. His work bridges theoretical advancements with real-world applications in healthcare, cybersecurity, and user-centric technologies.

• Inductors and Transformers
• Magnetic Devices
• Magnetic Materials
• +4 more

Dr. Luigi Solimene is a Fixed-term Assistant Professor at the Department of Energy (DENERG) of Politecnico di Torino , Italy. He is affiliated with the College of Electrical and Energy Engineering and serves as a member of the College of Mechanical, Aerospace and Automotive Engineering . Scientific Sector: IIET-01/A - Electrical Engineering (Area 0009 - Industrial and Information Engineering) ERC Skills: PE7_2, PE2_9, PE11_12 Research Interests : Inductors and Transformers Magnetic Devices and Materials Wireless Power Transfer (WPT) Data-Driven Modeling Power Electronics Recent Publications focus on data-driven approaches for electromagnetic analysis, magnetic loss modeling, and wireless power transfer systems, with applications in traction motors, supercapacitors, and GaN FET-based converters. Teaching Involvement : Course Instructor for "Inductor and Transformer Design for Power Electronic Converters" (PhD, 2024/25) Course Collaborator for "Applied Electromagnetism" (Master’s, 2020/21–2025/26) Course Lecturer for "Electrical Engineering" (Bachelor’s, 2025/26) PhD Supervision : Gulaly Khan (2024–present) Junlong Liu (2024–present) Fermin Gomez De Leon (2022–2025) Song Huang (2021–2025) Research Projects : Metrology for supercapacitors (MetSuperCap, 2024–2027) Commercial contracts with University of Nottingham and Enel Grids

• Machine learning
• Numerical analysis
• Numerical methods
• +10 more

Sandra Pieraccini is a Full Professor in the Department of Mathematical Sciences "GL Lagrange" (DISMA) at the Politecnico di Torino, where she also serves as Deputy Director of the department, Contact Person for student orientation, and Coordinator of the basic subjects for first-year engineering programs. She is a member of the University Open Access Commission and actively contributes to academic governance. Her research interests include machine learning, numerical analysis, scientific computing, uncertainty quantification, and numerical optimization . She is a key member of the research group Numerical Analysis and Scientific Computing and leads the national research project FaReX (2023–2025) on reduced-order modeling and automatic learning. Her work integrates advanced numerical methods with AI techniques, particularly in modeling discrete fracture networks and fluid dynamics. The most recent publications reflect a strong trend in combining graph-informed neural networks , explainable AI , and meshless computational methods to solve complex problems in geophysics, fluid mechanics, and data science. Her research bridges applied mathematics with real-world engineering and environmental challenges. She is an active member of the scientific community, serving on the editorial boards of Journal of Machine Learning for Modeling and Computing and GEM , and participating in steering committees of UMI groups on AI and machine learning. She has also contributed to organizing major workshops and conferences. Sandra Pieraccini teaches across multiple programs, including doctoral courses in Mathematical Sciences and Aerospace Engineering, master’s courses in Mathematical Engineering and Data Science, and bachelor’s courses such as Linear Algebra and Problem Solving Lab. She is deeply involved in curriculum development and academic leadership.

Dario Lodi RizziniView profile

Associate Professor

• Robotics
• Autonomous Robots
• Localization, Mapping and Navigation
• +14 more

Dario Lodi Rizzini is an Associate Professor at the Department of Engineering and Architecture, University of Parma, where he conducts research and teaching in robotics, computer vision, and autonomous systems. He has held academic positions including Research Assistant (2015–2020) and Assistant Professor (2021–2023) before becoming Associate Professor. His work spans industrial, agricultural, and underwater robotics applications. Research Interests: Localization, Mapping, and Navigation (SLAM) for mobile robots 3D perception and point cloud processing Robot manipulation and grasping Perception-aware control and pose estimation Applications in industrial automation, precision agriculture, and underwater intervention His recent publications show a strong trend in geometric algorithms for rotation and point cloud registration, particularly using the Angular Radon Spectrum, as well as practical deployments in warehouse automation and agricultural robotics. He has developed scalable systems for variable-rate irrigation and industrial depalletizing, demonstrating real-world impact. Scientific Awards and Recognition: Team leader of the University of Parma team that won Sick Robot Day in 2012 and 2014 Active IEEE member with publications in top-tier journals including IEEE Transactions on Robotics, IEEE RA-L, and IEEE ICRA/IROS Advising and Grants: Dario Lodi Rizzini has mentored numerous PhD students and postdocs, including Riccardo Monica, Ernesto Fontana, and Asad Ullah Khan. He has collaborated on multiple industrial and national research projects focusing on robotics in agriculture, warehouse automation, and underwater intervention, including the Italian MARIS project on underwater robotics. Labs and Teams: He is a key member of the Robotics and Intelligent Machines Lab (RIMLab) at the University of Parma, contributing to research in autonomous systems, perception, and manipulation. He has led teams in robotic competitions and collaborative industrial projects.

• Stochastic Processes
• Nonequilibrium Statistical Physics
• Gravitational Waves
• +4 more

Fabio Marchesoni is a Professor of Physics at the University of Camerino, affiliated with INFN Perugia Section and Tongji University Shanghai. His research focuses on stochastic processes, nonequilibrium statistical physics, and gravitational wave physics. He has contributed to major collaborations like LIGO/Virgo, publishing over 246 articles with 148,100 citations. Research Interests: Active matter systems, artificial Brownian motors, nanoscale transport phenomena, and gravitational wave detection. His work bridges fundamental physics with applications in neuromorphic computing and materials science. Key Contributions: Pioneered stochastic resonance theory, developed models for nanoscale motor systems, and co-authored landmark papers on GW170817 (neutron star merger) and the first direct detection of gravitational waves (GW150914). Collaborations: Works with institutions worldwide including University of Augsburg, RIKEN, and Loughborough University. Active in interdisciplinary projects combining physics with engineering and biology.

• Aerospace Propulsion
• Rocket Engine Design
• Hybrid Rocket Engines
• +4 more

Dario Giuseppe Pastrone is a Full Professor at Politecnico di Torino, specifically in the Department of Mechanical and Aerospace Engineering (DIMEAS). He serves as Coordinator of the College of Mechanical, Aerospace and Automotive Engineering and as a member of the Investigative Commission for the Coordination of Teaching and Training Activities. He has been coordinating the PhD program in Aerospace Engineering at Politecnico di Torino since at least the 28th cycle (2012/2013) up to the current 40th cycle (2024/2025). His research focuses on aerospace propulsion with special emphasis on: Advanced rocket nozzles Hybrid rocket engines Combustion and combustion instability Coupled propulsion/trajectory optimization Jet engines and launcher performance Solid propellant technology His recent publications address innovations in cryogenic storage systems, photocurable solid propellants, swirl injection models, UV-cured solid rocket propellants, and advanced nozzle performance for reusable launch vehicles. In 2023, he was granted a national and international patent along with Marco Sangermano for a composite propellant production process via photodeposition and polymerization for solid-propellant rocket engines. Professor Pastrone has supervised numerous PhD students in aerospace engineering, including Vincenzo Madonia (40th cycle), Leonardo Stumpo (39th cycle), Alessandra Zumbo (39th cycle), Lorenzo Folcarelli (38th cycle), Giacomo Gedda (38th cycle), and Giovanni Polizzi (38th cycle), all working on various aspects of aerospace propulsion.

• Connected and automated vehicles
• Electric vehicles
• Vehicle dynamics
• +5 more

Aldo Sorniotti is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS), Politecnico di Torino . He serves as a Scientific Responsible for multiple research projects and leads academic advising for Automotive Engineering programs. His work spans connected and automated vehicles, electric vehicle systems, and advanced vehicle dynamics control. Current research focuses on model predictive control and adaptive control strategies for electric powertrains, autonomous driving, and sustainable mobility solutions. Key projects include EFFEREST (2024-2026) for energy management and CliMAFlux (2024-2026) on axial flux motor drives. His 15 most recent publications (2023-2025) emphasize predictive control algorithms , traction systems , and energy efficiency in electric vehicles, with applications in tire technology, suspension systems, and V2X connectivity. Award highlights include patents like the Traction control system with road preview information . He supervises PhD students in mechanical engineering and contributes to curriculum development in autonomous vehicle technologies.

• Computational fluid dynamics (CFD)
• Computational modeling
• Concentrated solar power
• +11 more

Laura Savoldi is a Full Professor at the Department of Energy (DENERG) at the Polytechnic of Turin, Italy. Her research spans nuclear fusion, superconducting magnets, and energy systems optimization. Research Groups: MAHTEP, SOLAR, THEAM Scientific Affiliations: American Society of Mechanical Engineering (ASME) member (2018-), Associate Editor for Energies (2020-) Her research interests include: Computational fluid dynamics (CFD) for heat transfer enhancement Numerical modeling of two-phase flows Superconducting cables for nuclear fusion Energy planning with multi-objective optimization Cryogenics and hydrogen energy systems Radioactive waste immobilization via geopolymer Article trends show focus on fusion reactor components, renewable energy systems (particularly solar thermal), and critical resource analysis for sustainable energy transitions. Her scientific awards include ASME membership and editorial roles. She supervises 22 PhD students in energy, nuclear, and environmental fields.