جست‌وجوی استاد و پژوهشگر

Maria Elena Valcherمشاهده پروفایل

استاد

• Control Systems
• Systems Theory
• Optimization
• +۵ مورد دیگر

Maria Elena Valcher is a Professor at the Department of Information Engineering, University of Padova, Italy. She is an IEEE Fellow (since 2012), IFAC Fellow (since 2023), Socio Effettivo of Istituto Veneto di Scienze, Lettere ed Arti (since 2017, previously Socio Corrispondente 2008-2017), and Socio Effettivo of Accademia Galieliana di Scienze, Lettere ed Arti in Padova (since 2022, previously Socio Corrispondente 2017-2022). She currently serves as Administrator of the Istituto Veneto and holds leadership positions including EUCA President (2024-2025) and IEEE Control Systems Society Past President. Her research focuses on control systems, systems theory, optimization, Boolean control networks, multi-agent systems, and consensus problems. She has made significant contributions in distributed control, data-driven methods, and network optimization, with recent work exploring applications in opinion dynamics and social networks. Recent publications demonstrate a strong emphasis on data-driven approaches to control systems, particularly in distributed state estimation, unknown-input observer design, and multi-agent coordination. Her work shows consistent development in theoretical frameworks for networked systems with practical applications. Awards and Honors: IEEE Fellow (2012) IFAC Fellow (2023) Socio Effettivo, Istituto Veneto di Scienze, Lettere ed Arti (2017-present) Socio Effettivo, Accademia Galieliana di Scienze, Lettere ed Arti in Padova (2022-present) She teaches 'Controlli Automatici' (Bachelor in Information Engineering) and 'Systems Theory' (Master in Control Systems Engineering) during the 2024/2025 academic year. She has chaired major conferences including the 61st IEEE Conference on Decision and Control (CDC 2022) and serves as Program Chair for ICSTCC 2025.

• Behavioral modeling
• Electromagnetic compatibility
• Macromodeling
• +۷ مورد دیگر

Stefano Grivet-Talocia is a Full Professor at the Department of Electronics and Telecommunications at the Polytechnic University of Turin, where he also serves as Director of the Doctoral School and President of the Doctoral School Council. He is a member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory, the University Committee for Research, Technology Transfer and Services to the Territory, and the Commission for the Promotion of Library, Archive and Museum Heritage. His academic career spans over two decades at Politecnico di Torino, where he has established himself as a leading researcher in electromagnetic modeling and signal integrity. Grivet-Talocia earned his Laurea degree (summa cum laude) in Electronic Engineering in 1994 and his Ph.D. in Electronic and Communication Engineering in 1998, both from the Polytechnic University of Turin. Between 1994 and 1996, he conducted research at NASA/Goddard Space Flight Center in Greenbelt, Maryland. His educational background laid the foundation for his expertise in electromagnetic modeling, wavelet analysis, and signal processing. His research focuses on behavioral modeling, electromagnetic compatibility, macromodeling, model order reduction, numerical modeling, passivity, power integrity, signal integrity, transmission lines, and wavelets . Grivet-Talocia is particularly renowned for his work on passive macromodeling of interconnect structures, development of the TOPLine technique for transmission line simulation, and pioneering contributions to passivity enforcement algorithms. He has co-authored the first book entirely dedicated to Macromodeling (2016) and developed innovative approaches to waveform relaxation and wavelet-based signal processing. His recent publications (2024-2025) demonstrate continued leadership in model order reduction, with significant contributions to data-driven modeling of linear and nonlinear systems, power integrity analysis, and electromagnetic compatibility. His work spans both theoretical advances in numerical methods and practical applications in circuit design, with strong industry relevance particularly for semiconductor and electronic design automation companies. IEEE Fellow (2018-present) Three Intel SRS Grants (2022-2024) Three IBM SUR Grant Awards (2007-2009) Best Associate Editor Award - IEEE Transactions on Components, Packaging and Manufacturing Technology (2020) Multiple Best Conference Paper Awards (2006-2020) URSI Young Scientist Awards (1999) Ranked among the "top 2% worldwide researchers" (Stanford) since 2019 Grivet-Talocia actively supervises doctoral students including Michele Cusano, Sara Paknezhad Panahi, Antonio Carlucci, and Kun Zhao. He has secured numerous research grants from competitive national calls (PRIN) and commercial contracts with industry partners including Intel, IBM, Nokia, Hitachi, Infineon, and Cadence. His technology transfer activities include co-founding the spin-off IdemWorks (2007-2016), which was acquired by CST in 2016. He also developed the autoCircuits web service for automated circuit problem generation, widely used in electrical engineering education. He leads the EMC Group (Electromagnetic Compatibility) at DET and has been instrumental in establishing the Compact Dynamical Modeling research area. His work has practical applications in high-speed electronics design, with algorithms embedded in commercial tools like IBM PowerSPICE. Grivet-Talocia maintains strong industry connections through his research projects and serves as Associate Editor for IEEE Transactions on Components, Packaging and Manufacturing Technology.

• Microwave Engineering
• Power Amplifiers
• Gallium Nitride (GaN) Technology
• +۷ مورد دیگر

Marco Pirola is a Full Professor at the Department of Electronics and Telecommunications (DET) of the Polytechnic University of Turin, Italy. He is a member of the Interdepartmental Center 'CleanWaterCenter@PoliTo' and actively contributes to research in high-frequency electronics and microwave engineering. His work focuses on power amplifiers, device characterization, and advanced microwave circuit design. Research Interests: Microwave power devices, GaN technology, 5G/mm-Wave applications, space communications, and smart pipeline monitoring systems. Awards: IEEE Fellow (since 2019), IEEE Senior Member. Recent Publications address topics like Ka-band MMIC amplifiers for SAR systems, broadband Doherty amplifiers using GaN, and harmonic analysis of current-mode power stages. His projects include STARGATE (European GaAs power architectures) and Millimetre-Wave GaN Radar for UAV detection. Teaching: He leads courses on 'Radio Frequency Integrated Circuits' and 'Advanced Devices for High Frequency Applications' at the Polytechnic University of Turin. Supervised PhD students include Wenjun Zhang and Abbas Nasri, who worked on III-V HEMT circuits and GaN power amplifiers.

Patrick Dallasegaمشاهده پروفایل

دانشیار

• Supply Chain Management
• Industry 4.0
• Lean Construction
• +۷ مورد دیگر

Patrick Dallasega is an Associate Professor in the Department of Industrial Plants at the Faculty of Science and Technology of the Free University of Bolzano (Italy). He holds a PhD from the University of Stuttgart and has been a Visiting Scholar at Chiang Mai University (Thailand) and Worcester Polytechnic Institute (USA). His expertise spans supply chain management, Industry 4.0 integration in SMEs, lean construction methodologies, and sustainable production planning in ETO/MTO environments. He teaches Project Management and Industrial Plants courses in Industrial Mechanical Engineering programs. His research focuses on digital transformation in manufacturing, including smart mobile factories, augmented reality applications for training, and synchronization of production and on-site assembly processes. Collaborative projects like the AR-enhanced industrial training initiative with Memc aim to reduce errors and costs in complex industrial setups. His work emphasizes human-centered technology integration, sustainability, and real-time data utilization for adaptive production strategies. Education Bachelor/Master: Free University of Bolzano (Italy) MSc: Polytechnic University of Turin (Italy) PhD: University of Stuttgart (Germany) Research Interests Professor Dallasega’s research explores the intersection of Industry 4.0 technologies with lean manufacturing principles, particularly in complex Engineer-to-Order (ETO) and Make-to-Order (MTO) sectors. He investigates how digital twin frameworks, augmented reality (AR), and real-time data analytics can enhance supply chain resilience, reduce operational losses, and improve workforce training efficiency. His work also addresses sustainability challenges in mobile and distributed manufacturing systems, emphasizing eco-friendly logistics and smart factory design. Key Projects Recent collaborations include: Development of an AR-based training module to boost procedural knowledge retention in machinery setups Comparative studies on Industry 4.0 adoption in SMEs across Europe and Asia Framework for digital twin-driven quality control in precast manufacturing Grants & Advising No specific grants or student advisees are listed in the provided data. His focus remains on collaborative industry projects and institutional teaching responsibilities. Labs & Teams Involved in cross-disciplinary teams at the Free University of Bolzano, particularly in the NOI Techpark innovation hub. Leads initiatives on smart mobile factories and human-centered robotics applications in manufacturing environments.

Federico Beccaمشاهده پروفایل

دانشیار

• Theoretical Physics
• Condensed Matter Physics
• Strongly Correlated Systems
• +۴ مورد دیگر

Federico Becca is an Associate Professor in the Department of Physics at the University of Trieste . He is a theoretical condensed matter physicist specializing in strongly correlated electronic systems , with a focus on spin liquids , superconductivity , and topological phases . His research employs quantum Monte Carlo and exact diagonalizations to study lattice models like the Hubbard and Heisenberg models . Education: Laurea in Physics, Università La Sapienza, Roma (1996) PhD in Condensed Matter, ISAS-SISSA, Trieste (2000) Research Interests: Prof. Becca’s work centers on Mott insulators , spin-liquid phases , and superconductivity in systems with magnetic frustration and strong electron correlations. He investigates unconventional electronic states in reduced dimensions and explores the interplay between spin-phonon interactions and quantum phase transitions . Scientific Collaborations: Alberto Parola (Insubria University) Michele Fabrizio (SISSA) Roser Valenti (University of Frankfurt) Didier Poilblanc (University of Toulouse) Yasir Iqbal (Indian Institute of Technology Madras) Current Projects: Unravelling the intertwined correlated states of matter in moiré superlattices (funded by MINISTERO DELL'UNIVERSITA' E DELLA RICERCA). He also leads the "Studio computazionale del modelli di Kane and Mele" project as a Scholar at risk.

• Aerospace Engineering
• Aeroelasticity
• Fluid-Structure Interaction
• +۳ مورد دیگر

Prof. Mastroddi Franco is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMA) of Sapienza University of Rome, affiliated with the Faculty of Civil and Industrial Engineering. His expertise spans aerospace engineering, aeroelasticity, and multidisciplinary design optimization. He contributes to training programs such as the 2nd-level Master's in 'Satellites and Orbiting Platforms' and 'Energy Efficiency and Renewable Energy Sources'. His research focuses on fluid-structure interactions, sloshing dynamics in aircraft tanks, and sustainable aircraft design. He has led studies on green aviation technologies, launch vehicle aerodynamics, and numerical modeling techniques like Smoothed Particle Hydrodynamics (SPH). Research Interests: Aeroelastic Stability and Response Hydrogen-Powered Aircraft Systems Neural Network Applications in Fluid Dynamics Green Energy Integration in Aviation Reduced-Order Modeling for Complex Systems Publications highlight contributions to sloshing dynamics, hybrid aircraft design, and computational methods for hypersonic systems. Awards: None explicitly mentioned. Grants and advisory roles include participation in the 'Premio Liviu Librescu' thesis award committee (2010). He collaborates on projects involving structural damping models and multi-objective optimization for aerospace systems.

• Electric Machines
• Finite Element Analysis
• Open Source Software
• +۳ مورد دیگر

Simone Ferrari is a Fixed-term Assistant Professor in the Department of Energy (DENERG) at Politecnico di Torino. He is a member of the Interdepartmental Center PEIC (Power Electronics Innovation Center) and affiliated with the College of Electrical and Energy Engineering and College of Mechanical, Aerospace and Automotive Engineering as an invited member. His research focuses on electric machines, finite element analysis, and open-source software development for electromagnetic systems. He has supervised multiple PhD students in electrical engineering and has contributed to commercial consulting projects such as the design of electric motors for lifting applications and supervision of high-power motor development. Teaching responsibilities include courses on Propulsion of Hybrid and Electric Vehicles, Applied Electromagnetism, and Electrical Machines across multiple academic years. His work emphasizes multiphysics simulation, data-driven modeling, and the development of efficient traction motors for electric vehicles. Key research outputs include advancements in flux-map-based modeling, fault-tolerant motor designs, and thermal/structural scaling techniques for synchronous machines. Dr. Ferrari holds a patent for a method to identify spatial harmonic flux and torque maps without torque transducers. His recent publications (2024-2025) address challenges in electric motor efficiency, fault performance, and NVH mitigation, reflecting his commitment to advancing sustainable power electronics and clean energy technologies aligned with SDGs 7 and 9.

Alberto Marconeمشاهده پروفایل

استاد

• Mathematical Logic
• Reverse Mathematics
• Descriptive Set Theory
• +۴ مورد دیگر

Alberto Marcone is a Full Professor of Mathematical Logic at the University of Udine, where he serves as the Director of the Department of Mathematical, Computer and Physical Sciences (DMIF) since October 1, 2024. His academic home is within the Department of Mathematical, Computer and Physical Sciences at the University of Udine, located at Via delle Scienze, 208 -- Loc. Rizzi, 33100 Udine, Italy. Professor Marcone's research spans several interconnected areas within mathematical logic. His primary interests include reverse mathematics, descriptive set theory, well-quasi-order and better-quasi-order theory, and computable analysis with particular emphasis on the Weihrauch lattice. His work explores the logical strength of mathematical theorems, classification problems in continuum theory, and the computational content of mathematical principles. He has made significant contributions to understanding the relationships between different mathematical principles and their proof-theoretic strength. Analysis of his recent publications reveals a consistent focus on the intricate connections between order theory, reverse mathematics, and descriptive set theory. His work often examines the logical strength of combinatorial principles related to well-quasi-orders and better-quasi-orders, while increasingly exploring connections to computable analysis through the Weihrauch lattice framework. Recent publications demonstrate growing international collaboration, particularly with researchers across Europe, and an expanding application of logical methods to topological and metric space problems, including connections to knot theory and fractal geometry. Member of editorial board of the journal Computability Member of the board of the PhD program in Mathematics and Physics Organizer of Logic Colloquium 2018 (Udine) Organizer of Special Session on Computability Theory at AMS-UMI International Joint Meeting (Palermo, July 2024) Organizer of XXVIII Incontro di Logica AILA (Udine, September 2024) Professor Marcone teaches Mathematical Logic for both undergraduate and graduate mathematics programs at the University of Udine. His office is located on the 2nd floor, room A2 90, where he holds student reception hours either in person or via Microsoft Teams by appointment. As department director, he oversees the academic and administrative functions of the Department of Mathematical, Computer and Physical Sciences.

Gabriele SANTINمشاهده پروفایل

پژوهشگر

• Numerical Analysis
• Kernel Methods
• Approximation Theory
• +۵ مورد دیگر

Gabriele Santin is a Researcher at Ca' Foscari University of Venice's Department of Environmental Sciences, Computer Science and Statistics. He holds a PhD in Computational Mathematics from the University of Padua and has held postdoctoral positions at the University of Stuttgart and the Bruno Kessler Foundation. His research focuses on kernel-based approximation methods, numerical analysis, and applications in scientific computing, including partial differential equations and biomedical engineering. Research interests include kernel interpolation, greedy algorithms, convergence analysis, and data-driven modeling. He has contributed to advancing numerical techniques for solving PDEs, optimizing kernel methods, and analyzing stability in non-Lipschitz domains. His work bridges theoretical foundations with practical applications in fields like medical imaging, transportation systems, and epidemic modeling. Publications highlight contributions to kernel-based greedy algorithms, image interpolation, and surrogate modeling. He is affiliated with the Research Institute for Complexity and actively collaborates with institutions like SimTech (University of Stuttgart). His expertise spans numerical methods, machine learning, and interdisciplinary problem-solving.

• Nuclear Reactor Physics
• Neutron Transport Theory
• Monte Carlo Methods
• +۵ مورد دیگر

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.

• Numerical Analysis
• Domain Decomposition
• PDE-Constrained Optimization
• +۷ مورد دیگر

Tommaso Vanzan is a Researcher at the Department of Mathematical Sciences "GL Lagrange" (DISMA) at Politecnico di Torino . He holds a PhD from the University of Geneva (2020) under Prof. Martin J. Gander and was a postdoctoral researcher at EPFL (2020-2023) under the CSQI Chair. His research focuses on iterative methods , optimization algorithms , and uncertainty quantification for PDE-constrained problems, with applications in Stokes-Darcy coupling and manifold-based machine learning . His recent work includes multilevel quadrature for risk-averse optimization and spectral coarse spaces for substructured Schwarz methods. He has received the SWICCOMAS Prize 2021 for computational methods. He contributes to the open-source GDGMatlab library for finite element and discontinuous Galerkin methods, emphasizing educational and research usability over high-performance computing. Future developments target generalized boundary conditions in DG formulations.

• Machine learning
• Numerical analysis
• Numerical methods
• +۱۰ مورد دیگر

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.

• Aerospace Engineering
• Aeroelasticity
• Fluid Dynamics
• +۳ مورد دیگر

Franco Mastroddi is a Full Professor at Sapienza University of Rome, affiliated with the Department of Mechanical and Aerospace Engineering (DIMA). His research focuses on aeroelasticity, fluid dynamics, and multidisciplinary design optimization, with applications in green aircraft development and structural analysis. He is a member of the Departmental Council, contributing to governance and strategic decisions within the department. His work emphasizes sustainable aviation solutions, sloshing dynamics in aircraft tanks, and advanced numerical modeling techniques. Key contributions include studies on sloshing-induced effects, neural network-based modeling, and life cycle cost analyses for eco-friendly aircraft designs. Despite no listed academic awards or grants, his extensive publication record reflects significant contributions to aerospace engineering research.

• Mechanical Engineering
• Condition Monitoring
• Vibration Analysis
• +۵ مورد دیگر

Gianluca D'Elia is a Researcher at the University of Modena and Reggio Emilia (UNIMORE), affiliated with the Department of Engineering Sciences and Methods. His research focuses on mechanical systems, vibration analysis, fault diagnosis, and condition monitoring of rotating machinery. He teaches courses in mechatronics, including kinematics/dynamics of machines and diagnostics of mechatronic systems. His work emphasizes non-stationary systems, bearing and gearbox fault detection, and data-driven approaches for predictive maintenance. Research interests include: vibration-based diagnostics, signal processing for machine health monitoring, and development of algorithms for fault localization and prognostics. Key contributions involve the MOIRA-UNIMORE dataset for independent cart systems and advancements in blind deconvolution techniques. His methodologies integrate cyclostationary analysis, machine learning, and experimental modal analysis. Publications highlight innovations in bearing fault detection via harmonic-percussive source separation, prognostics using Hidden Markov Models, and multi-axial vibration testing for engine components. Collaborations include developing the UniVibe software for automated gear diagnostics, and experimental studies on compressor stall/surge phenomena. Education: Not explicitly stated in provided texts. Grants: Implied through experimental setups (e.g., compressor test rig modifications). Labs/Teams: Involved in UNIMORE's mechanical engineering labs, collaborating on projects like wet compression compressor analysis and bearing endurance testing.

Gaetano Continilloمشاهده پروفایل

استاد

• Combustion modeling
• Simulation dynamics
• Chemical kinetics
• +۴ مورد دیگر

Professor Gaetano Continillo is a Full Professor at the Department of Engineering (DING) of the University of Sannio (Italy), specializing in combustion modeling, simulation dynamics, and reduced-order modeling techniques. His research spans chemical reactor analysis, flame propagation, and application of advanced mathematical methods like Proper Orthogonal Decomposition (POD) and Independent Component Analysis (ICA) to combustion processes in internal engines. Department of Engineering (DING), Università degli Studi del Sannio Key research areas: Combustion analysis, Bifurcation dynamics, Model reduction, Chemical reactor simulation His work focuses on developing computational methods for analyzing combustion processes, flame dynamics, and emission control in energy systems. He has contributed to both theoretical and applied studies across chemical and mechanical engineering domains. 15+ publications demonstrate expertise in combustion modeling, periodic reactor analysis, and advanced data decomposition techniques Recent articles emphasize reduced-order modeling strategies and multi-physics combustion analysis Professor Continillo actively collaborates with researchers in engine diagnostics and chemical process optimization. His studies have direct applications in energy efficiency, emission reduction, and combustion stability analysis for various engine and reactor systems.