جستجوی استاد راهنمای دانشگاهی

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.

• Hydraulic Engineering
• Hydrology
• Computational Hydraulics
• +۶ مورد دیگر

Alessia Ferrari is a fixed-term researcher in the Department of Engineering and Architecture at the University of Parma, Italy. She lectures on Hydrology within the Bachelor’s degree programme in Civil and Environmental Engineering and serves as the reference teacher for the same programme across multiple academic years (2020/2021 – 2025/2026). Research Focus Ferrari’s research integrates advanced numerical modelling with real-world flood-risk management. Key themes include: High-resolution 2-D shallow-water simulations using GPU-parallel codes. Porosity-based approaches for large-scale urban flood modelling. Levee-breach hydraulics and emergency-action planning. Calibration of hydraulic models using tools such as PEST. Integration of machine-learning techniques with physics-based flood forecasting. Publication Trends Across more than 25 peer-reviewed works (2015-2025), Ferrari has concentrated on computational hydraulics applied to extreme flood events in Northern Italy (e.g., Parma 2014, Lamone 2024). Her papers consistently advance numerical schemes (ADER, HLLEM Riemann solvers) and GPU acceleration while validating models against field data, thereby bridging theoretical development and practical flood-mitigation strategies. Contact & Office E-mail: alessia.ferrari@unipr.it Office: Science and Technology Campus – Pavilion 10, Engineering Scientific Headquarters, Parco Area delle Scienze 181/A, 43124 Parma, Italy.

• Electromagnetic Compatibility
• Signal Integrity
• Power Integrity
• +۷ مورد دیگر

Stefano Grivet Talocia is a Full Professor in the Department of Electronics and Telecommunications at Polytechnic University of Turin. He serves as Director of the Doctoral School, is a member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory, and holds positions on the University Committee for Research and the Commission for the Promotion of Library, Archive and Museum Heritage. He is also President of the Doctoral School Council. His educational background includes a Laurea degree (summa cum laude) in Electronic Engineering (1994) and a Ph.D. in Electronic and Communication Engineering (1998), both from Polytechnic University of Torino. From 1994 to 1996, he worked at NASA/Goddard Space Flight Center in Greenbelt, MD, USA. Professor Grivet Talocia's research focuses on passive macro-modeling of concentrated and distributed interconnect structures for Signal/Power Integrity, order reduction techniques, and modeling and simulation of fields, circuits, and their interactions. His work spans several key areas including fast simulation of transmission lines (TOPLine technique), macromodeling and model order reduction, simulation methods for fields and circuits, passivity enforcement of lumped macromodels, waveform relaxation techniques, and wavelet applications. His research has significant applications in electromagnetic compatibility and signal integrity verification of complex electronic systems. His recent publications demonstrate strong trends in model order reduction techniques applied to power integrity verification, advanced macromodeling for electromagnetic compatibility, nonlinear circuit analysis, uncertainty quantification in PCB design, and power electronics modeling. These works consistently address practical engineering challenges in high-speed electronic design with emphasis on computational efficiency and accuracy. URSI Young Scientist Award (1999) Best symposium paper (2006) Three IBM Shared University Research Awards (2007-2009) IEEE Transactions on Advanced Packaging Best Paper Award (2007) Best EPEP conference paper awards (2007, 2008) Best Associate Editor Award - IEEE Transactions (2020) Best Conference Paper Award (2020) Three Intel SRS Grants (2022-2024) IEEE Fellow (2018) Professor Grivet Talocia actively supervises PhD students working on cutting-edge topics including machine learning applications in signal integrity, model reduction techniques, and electromagnetic compatibility. He has secured significant research funding through competitive grants including PRIN projects and multiple industry-sponsored research contracts with major technology companies such as IBM, Intel, Nokia, Hitachi, and Infineon. His technology transfer activities include co-founding the spin-off IdemWorks (acquired by CST in 2016) and maintaining active collaborations with industry partners. He leads the EMC Group (Electromagnetic Compatibility) within the Department of Electronics and Telecommunications and has developed the autoCircuits web service for automated generation of circuit theory problems. His research has been recognized by inclusion in the top 2% worldwide researcher catalog (Stanford) since 2019.

• 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.

• Structural Health Monitoring
• Seismic Analysis
• Bayesian Calibration
• +۱۴ مورد دیگر

Gaetano Miraglia is a Fixed-term Assistant Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at Politecnico di Torino, where he conducts research in structural health monitoring, seismic analysis, and computational modeling. He is a member of the Interdepartmental Center R3C – Responsible Risk Resilience Centre, contributing to interdisciplinary efforts in risk mitigation and infrastructure resilience. His work spans both theoretical and applied domains, with strong emphasis on heritage preservation and sustainable urban development. His research interests include Bayesian calibration of nonlinear models, hybrid simulation, peridynamics, masonry structures, and the integration of satellite interferometric (InSAR) data with in-situ measurements for structural monitoring. He applies advanced computational and machine learning techniques to improve the accuracy and reliability of structural assessments, particularly in historical and monumental buildings. His work supports UN Sustainable Development Goals 9, 11, and 13. His recent publications demonstrate a consistent focus on data fusion, digital twinning, domain adaptation, and real-time damage detection. He frequently collaborates with researchers such as Rosario Ceravolo and Erica Lenticchia, publishing in high-impact journals like Computer-Aided Civil and Infrastructure Engineering , Structures , and Scientific Reports , as well as at major conferences including EWSHM, SAHC, and EVACES. His research is applied in projects such as the monitoring of the Vicoforte Sanctuary and the development of the CAMELOT and HY-LEARN toolboxes. Research Projects: MONITORAGGIO VICOFORTE (2024–2026) – Member of Research Group CAMELOT – PoC Transition (2023–2024) – Member of Research Group HY-LEARN – Model Calibration via Hybrid Simulation and ML (2022–2024) – Scientific Manager (PNRR Mission 4) He teaches in various programs, including as a course collaborator in PhD, Master’s, and Bachelor’s level courses such as Earthquake Engineering , Structural Consolidation , and Seismic Risk of Cultural Heritage . He is also an inventor on national and international patents and software related to the CAMELOT toolbox, highlighting the translational impact of his research. He has no listed scientific awards or formal advisees in the provided text.

• Electrical Engineering
• Modeling and Simulation
• Machine Learning
• +۵ مورد دیگر

Igor Simone Stievano is a Full Professor at the Polytechnic University of Turin , affiliated with the Department of Electronics and Telecommunications (DET) and the Interdepartmental Center Ec-L - Energy Center Lab . He holds a PhD in Electrical Engineering and has supervised numerous students in disciplines spanning electromagnetic compatibility, machine learning, and multi-energy networks. His research interests include: Modeling and simulation of integrated circuits Machine learning for signal integrity Multi-energy network resilience Stochastic analysis of electrical systems Electromagnetic compatibility Key projects include the EU-funded SHIMMER initiative on hydrogen injection in gas networks and commercial contracts for high-speed I/O macromodeling. He serves as a chair and committee member at major conferences like the IEEE Workshop on Signal and Power Integrity. Scientific recognitions : IEEE Senior Member Recipient of the 2013 Futuro in Ricerca grant Editorial Board member of ENERGIES (2020-) Stievano actively participates in PhD college evaluations for Mathematical Sciences and Metrology programs at Politecnico di Torino, while teaching courses in Electrical Engineering and Digital Technologies across biomedical, computer, and media engineering curricula.

• Computational Fluid Dynamics
• Energy Harvesting
• Fluid Dynamics
• +۴ مورد دیگر

Simone Salvadori is an Associate Professor at the Department of Energy (DENERG) of Politecnico di Torino, specializing in Computational Fluid Dynamics, Heat Transfer, and Turbomachinery. His research intersects Aerospace Engineering , Propulsion , and Energy Sustainability (SDG 7 & 9). He leads the EnaTech-RDE project on CO2-Free Rotating Detonation Engines and contributes to H2POWRD for hydrogen propulsion systems. Editorial roles: Guest Editor for Frontiers in Aerospace Engineering and Applied Sciences , Member of Energies Editorial Board. Organizing Committee Member for 8th ART Summer School (2024) and multiple international conferences including Aerospace Europe Conference 2023. His research focuses on pressure gain combustion , film cooling optimization , and machine learning-driven turbine design . He employs advanced computational tools to analyze unsteady flows, cavity dynamics, and exhaust systems in gas turbines, with applications to hydrogen/natural gas blends and rotating detonation engines . Salvadori supervises PhD students in projects related to high-pressure turbine vane coupling , cooling channel optimization , and exhaust flow control . He collaborates with the TEP Research Group and networks like ETN Global (Energy & Turbomachinery Network).

Michele Ruggeriمشاهده پروفایل

استادیار

• Numerical Analysis
• Partial Differential Equations
• Materials Science
• +۶ مورد دیگر

Michele Ruggeri is an Assistant Professor of Numerical Analysis (RTD-B) at the Department of Mathematics, University of Bologna, and an Honorary Lecturer at the University of Strathclyde, UK. His research focuses on numerical analysis of partial differential equations in materials science and engineering, including liquid crystal theory, micromagnetism, nonlinear elasticity, and spintronics. He is also active in developing numerical methods for uncertainty quantification and model order reduction. Education: PhD in Technical Mathematics (TU Wien, Austria), Laurea Magistrale in Mathematics (University of Pavia, Italy), and a Diploma in Science and Technology from Scuola Universitaria Superiore IUSS, Italy. He holds a Fellowship (FHEA) from Advance HE and a PGCert in Learning & Teaching in Higher Education from the University of Strathclyde. His work emphasizes finite element methods and their applications, with contributions to computational micromagnetics and software development (e.g., Commics). He is affiliated with the (AM)² Research Center on Applied Mathematics and ARCES at the University of Bologna. Awards: Fellowship (FHEA), Advance HE, UK. Key Projects: Development of numerical methods for micromagnetic simulations, uncertainty quantification in stochastic models. Contact: m.ruggeri@unibo.it

Sebastiano Boscarinoمشاهده پروفایل

دانشیار

• Numerical methods for conservation laws
• Numerical methods for stiff problems
• Numerical methods for hyperbolic systems with relaxation terms
• +۲ مورد دیگر

Sebastiano Boscarino is an Associate Professor of Numerical Analysis (MAT/08) at the Department of Mathematics and Computer Science, University of Catania, Italy. His research focuses on numerical methods for conservation laws , stiff problems , hyperbolic systems with relaxation terms , and kinetic problems , with a special emphasis on semi-Lagrangian methods. Education: Ph.D. in Applied Mathematics (2006, University of Catania), Laurea in Mathematics (2001, University of Catania) Research Projects: Coordinated national and international projects including PRIN 2017/2022 and European MODCLIM/MODCOMPSHOK. From 2016 to 2023, his publications highlight high-order semi-implicit and IMEX schemes for evolutionary PDEs , particularly in gas dynamics , Boltzmann equations , and shallow water models . Collaborations include institutions in the USA, South Korea, and Germany. He has organized international workshops and minisymposia at conferences like ICIAM, SCICADE, and ODS2018, and serves as a referee for journals such as SIAM Journal on Scientific Computing and Journal of Computational Physics. His teaching includes courses in Numerical Analysis and participation in PhD programs since 2017.

• Logistics
• Supply Chain Management
• System Dynamics
• +۵ مورد دیگر

Giovanni Zenezini is a Fixed-term tenure-track Assistant Professor at Politecnico di Torino's Department of Management and Production Engineering (DIGEP), affiliated with both the College of Management and Production Engineering and the College of Mechanical, Aerospace and Automotive Engineering. His academic activities include teaching courses such as 'Modeling Complex Systems in Engineering and Management' and 'Supply Chain Management' across multiple degree programs. His research focuses on logistics optimization and systems engineering, with primary expertise in: Agent-based modeling and system dynamics for complex systems Urban logistics and sustainable city freight solutions Warehouse automation and Industry 4.0 implementations Supply chain digitalization and Physical Internet concepts Sustainability assessments in logistics networks Analysis of recent publications (2019-2025) reveals consistent focus on logistics innovation, with 73% addressing optimization methodologies, 60% featuring simulation modeling approaches, and 47% examining urban freight solutions. The works demonstrate growing integration of digital technologies like IoT and digital twins in logistics systems. Dr. Zenezini currently supervises three PhD candidates: Francesca Saba (Management and Production Engineering) Massimo Rebuglio (Management, Production and Design) Anna Treves (Urban and Regional Development) His research group actively investigates logistics digitalization, warehouse automation, and urban freight impact assessment through projects with industry partners.

• Fluid Dynamics
• Computational Fluid Dynamics
• Hypersonic Flows
• +۵ مورد دیگر

Giuseppe Pascazio serves as a Full Professor in the Department of Mechanics, Mathematics & Management at the Polytechnic University of Bari, Italy. His research spans computational fluid dynamics with dual focus on aerospace applications and biomedical engineering, particularly in hypersonic flow phenomena and microwave ablation technologies for cancer therapy. His primary research interests include fluid dynamics, computational methods for high-enthalpy flows, thermochemical non-equilibrium modeling, turbulent boundary layer analysis, and biomedical device optimization. Pascazio develops advanced numerical techniques including high-order schemes, state-to-state kinetics implementations, and GPU-accelerated solvers to address complex flow physics in atmospheric entry and medical applications. His work bridges fundamental gas dynamics with practical engineering solutions for spacecraft thermal protection and minimally invasive cancer treatments. Analysis of his recent publications (2021-2025) reveals three dominant research thrusts: (1) High-fidelity simulation of hypersonic flows with detailed chemistry using state-to-state kinetics, (2) Development of robust numerical methods for shock-capturing in thermochemically non-equilibrium flows, and (3) Biomedical applications focusing on microwave ablation probe design and microcapsule transport in vascular systems. His aerospace work emphasizes atmospheric reentry physics while biomedical research targets cancer therapy optimization. Pascazio has participated in significant research projects including "PrInCE" (Innovative Processes for Energy Conversion) and "INNOVHEAD" (Advanced technologies for reduction of polluting emissions in Heavy Duty engines). His collaborative work involves industrial partnerships in aerospace and medical device sectors, though specific grant details beyond project names aren't provided. He maintains active research output with over 50 publications demonstrating consistent contributions to high-speed aerodynamics and biomedical fluid dynamics.

• 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.

Tommaso Grigolettoمشاهده پروفایل

استاد مدعو

• Quantum Mechanics
• Control Engineering
• Theoretical Physics
• +۳ مورد دیگر

Tommaso Grigoletto is an Adjunct Professor at the Department of Molecular Sciences and Nanosystems, Ca' Foscari University of Venice, and a Postdoctoral Fellow at the Department of Information Engineering, University of Padua. His research focuses on theoretical and numerical methods for complex dynamical systems, particularly quantum and classical probability models. He is part of the Quantum Dynamics, Information and Control group at the University of Padua, led by Prof. Francesco Ticozzi. Education: Ph.D. and Master's degrees in Information Engineering from the University of Padua. Research interests include quantum system control, model reduction techniques, and feedback stabilization strategies. He teaches 'Fundamentals of Automatic Controls' at Ca' Foscari University (2024-2025). His articles explore quantum model reduction, feedback control for quantum systems, and stochastic dynamics. He is actively mentoring students interested in control engineering and quantum systems simulations. Open to collaborative research and thesis supervision in these areas. Professional networks include the Quantum Dynamics group at Padua and academic affiliations with both universities. Engaged in open-source projects like an arXiv update bot for tracking research trends.

• Applied Mechanics
• Automotive Transmissions
• Control and Optimization
• +۷ مورد دیگر

Enrico Galvagno is an Associate Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) of the Polytechnic University of Turin. He is a member of the CARS@PoliTO Interdepartmental Center for Automotive Research and Sustainable Mobility. His academic roles include teaching and supervising courses on Mechanical System Dynamics , Hybrid and Electric Propulsion Systems , and Motor Vehicle Mechanics , as well as serving on doctoral college committees for Mechanical Engineering since 2019. His research interests span Applied Mechanics , Vehicle Dynamics , Hybrid and Electric Vehicles , and Noise, Vibration, and Harshness (NVH) . He focuses on Mathematical Modeling , Control Optimization , and Experimental Mechanics in automotive systems. Recent projects include the OWHEEL benchmarking initiative, EFFEREST for energy management in electric vehicles, and CliMAFlux for axial flux motor drives. Galvagno's scholarly work includes collaborative research on electric powertrain vibro-acoustics , off-road tire modeling , and tracked vehicle simulations . His 2024 publications highlight advancements in nonlinear vehicle dynamics , e-NVH performance , and model order reduction techniques. Scientific Awards and Memberships : Effective member of IFToMM Italy (2019-) Scientific Committee member of IFToMM Technical Committee for Engines and Powertrains (2019-) Effective member of SAE International (2010-) He supervises PhD students Luca Biondo , Luca Ciravegna , and Luca Zerbato , and has led commercial research contracts like Off-Road Tyre Model Integration and Tracked Vehicle Kinematic Modeling for industrial clients.

Giancarlo Manziمشاهده پروفایل

دانشیار

• Machine Learning
• Multivariate Statistics
• Bayesian Statistics
• +۵ مورد دیگر

Giancarlo Manzi is an Associate Professor of Statistics at the Department of Methods and Models for Economics, Territory, and Finance, University of Rome La Sapienza. He holds a PhD from the University of Milan-Bicocca and conducted thesis research at the University of Toronto. His career includes roles at the Medical Research Council Biostatistics Unit in Cambridge and the University of Milan. University of Rome La Sapienza (Current) Medical Research Council Biostatistics Unit (Former Researcher) University of Milan (Former Researcher and Associate Professor) University of Milan-Bicocca (PhD) University of Toronto (Thesis collaboration) His research spans Machine Learning , Bayesian Statistics , and Smart Mobility , with a focus on Covid-19 analytics , data visualization , and epidemiological modeling . He integrates Multivariate Statistics with Public Health to address complex challenges in health systems and urban environments. The 15 most recent publications highlight expertise in quantile regression , Bayesian networks , time-series analysis , and smart mobility optimization . His methodological contributions include wavelet analysis, cross-correlation models, and SIRD modeling frameworks applied to pandemic dynamics and bike-sharing systems. Scientific awards and honors are not explicitly mentioned in the provided texts. Giancarlo Manzi has taught at the University of Verona, Catholic University of the Sacred Heart, and Universidad Carlos III in Madrid, maintaining strong ties with Italy's academic institutions.