جست‌وجوی استاد و پژوهشگر

Giada Giorgiمشاهده پروفایل

استادیار

• Network Traffic Analysis
• Measurement Systems
• Automation and Industrial Production
• +۷ مورد دیگر

Giada Giorgi is an Assistant Professor at the Department of Information Engineering , University of Padova , Italy. Her academic profile combines Electronic Measurement research with innovative LabVIEW-based educational tools for Measurement Systems for Automation and Industrially Focused Instruments . Research Focus: Quantile-based analysis of self-similar network traffic, IEEE1451 standard implementation, and advanced measurement uncertainty modeling. Teaching Contributions: Developed virtual laboratory environments for student training in electronic measurement techniques and instrumentation. Technical Expertise: Specializes in wavelet transform applications for traffic analysis and synchronization system robustness. Academic Affiliations: Active researcher in the measurement group at the University of Padova. Her work bridges theoretical analysis with practical implementations in measurement systems, particularly addressing challenges in network traffic diagnostics and real-time monitoring . Email: giada.giorgi@dei.unipd.it | giada@dei.unipd.it

• Vehicular Networks
• Urban Mobility
• Connected Vehicles
• +۴ مورد دیگر

Dr. Marco Rapelli is a Fixed-term Assistant Professor at Politecnico di Torino's Department of Control and Computer Engineering (DAUIN). He obtained his B.Sc. in Telecommunications Engineering (2015), M.Sc. in Computer and Communication Networks Engineering (2017), and Ph.D. cum laude in Electronics and Telecommunication Engineering (2021) from Politecnico di Torino. During his Ph.D., he conducted an eight-month research visit at Technische Universität Berlin. His research focuses on: Vehicular networks and communications Large-scale urban traffic simulation Connected and autonomous vehicles Urban mobility modeling ETSI-compliant intelligent transportation systems Sustainable urban development (SDG Goal 11) His publications demonstrate strong emphasis on vehicular network applications, including traffic optimization, emission reduction, safety systems, and field-testing of embedded hardware solutions. Recent work integrates V2X communication with AI approaches for next-generation mobility systems. Awards include: Ph.D. cum laude distinction He currently supervises Ph.D. student Giuseppe Perrone researching 'Generative and Adversarial AI for Testing and Optimization of Connected and Automated Vehicles'. As part of the NETGROUP research team, he collaborates on projects involving vehicular network protocols and simulation frameworks.

• Sleep Analysis
• Fault Injection
• Fault Tolerance
• +۷ مورد دیگر

Massimo Violante is a Tenured Associate Professor at the Department of Control and Computer Engineering (DAUIN) , Politecnico di Torino. He serves as Deputy Director of the Polytechnic School and holds leadership roles in multiple research centers including the Interdepartmental Center PEIC (Power Electronics Innovation Center) and the Spin-Off/Start-Up Evaluation Commission . With expertise in embedded systems , functional safety , and sleep analysis , he bridges automotive engineering with biomedical applications through his research. Scientific Branch: IINF-05/A - Information Processing Systems ERC Sectors: PE7_11 (Components/Applications), PE6_1 (Computer Architecture), PE6_3 (Software Engineering) SDG Alignment: Goal 3 (Health) and Goal 9 (Innovation) His research focuses on fault tolerance , driver safety aid systems , and functional safety standards like ISO26262. He leads groundbreaking work in real-time sleep prediction and automotive electronics reliability , including patented solutions for drowsiness detection and safety-critical systems . Recent projects span from GreenChips-EDU (education ecosystem for sustainable microelectronics) to HiEFFICIENT (wide band gap power electronics for electric vehicles). Violante has supervised numerous PhD students including Sara Groppo (health monitoring for newborns), Michele Guagnano (sleep monitoring), and Pietro D'Agostino (Industrial IoT solutions). He has received prestigious recognition including the IEEE Best Paper Award (2005) and leadership roles as Program Chair for major symposiums like the IEEE European Test Symposium . His teaching portfolio includes foundational courses in Model-based Software Design , Operating Systems for Embedded Systems , and Technologies for Autonomous Vehicles . Major Projects: EU-funded: Cynergy4MIE (2024-2027), ShapeFuture (2024-2027), A-IQ Ready at EDGE (2023-2025) Nationally/Regionally funded: EMC2 (2014-2017), MIE (2014-2017), FELIX (2007-2010) Commercial contracts: Automotive Academy (2019-2020), Vodafone IoT Academy courses (2019-2021), Smartwatch-based drowsiness detection systems As a prolific inventor, he holds multiple international patents in driver state monitoring , microsleep prediction , and emergency intervention analysis . His work demonstrates a unique convergence of automotive engineering , biomedical applications , and high-reliability computing .

• Circuit Reliability
• System-on-Chip (SoC) Testing
• Embedded Systems
• +۳ مورد دیگر

Paolo Bernardi is an Associate Professor at the Department of Control and Computer Engineering (DAUIN) , Politecnico di Torino. His academic career spans over 20 years with continuous contributions to circuit reliability and SoC testing. Research focuses on System-on-Chip Testing , Embedded Systems , and Automotive Electronics Key projects: ARBoard (Augmented Reality for PCB testing), TC4xx NVM Test Strategies, and multiple commercial collaborations with automotive industry leaders His work bridges Computer Architecture and Industrial Engineering , with significant contributions to Test Automation and Reliability Engineering . Recent publications analyze scan test cost models and logic diagnosis techniques for automotive SoCs. Scientific recognitions include: EDAA Outstanding Dissertation Award (2006) Best Paper Awards at DATE (2006) and DDECS (2016) IEEE Fellowship (2020-) As a PhD supervisor, he guides students in Automotive Reliability and Embedded Testing projects. His research involves collaborative efforts with institutions like CNRS and Université de Montpellier through the LIA LAFISI laboratory.

• Embedded Systems Testing
• Computer Architecture
• Computer-Aided Design (CAD)
• +۶ مورد دیگر

Gabriele Filipponi is a third-year Ph.D. student in Computer and Control Engineering at Politecnico di Torino (38th cycle, 2022–2025). He serves as a Part-Time Lecturer and Teaching Assistant at the Department of Control and Computer Science (DAUIN) for Operating Systems courses. His research focuses on embedded electronics testing and ultra-reliable in-field manufacturing techniques for automotive SoCs, leveraging Logic Built-In Self-Test (LBIST) and functional procedures. Research Areas: Embedded Systems Testing Automotive Electronics Computer Architecture Semiconductor Reliability Fault Diagnosis Publication Trends: His work spans 2022–2025 and addresses logic/memory BIST methodologies, in-field diagnostics for automotive SoCs, fault characterization, and firmware-controlled testing frameworks. Teaching Roles: Course Collaborator for Operating Systems (Computer Engineering, 2023–2025) Course Collaborator for Operating Systems (Computer Science Engineering, 2023–2025)

• Electromagnetic Theory
• Microwave Engineering
• Antenna Design
• +۲۱ مورد دیگر

Giuseppe Schettini is a Full Professor in the Department of Industrial, Electronic and Mechanical Engineering at Roma Tre University, Italy. His research spans electromagnetic theory, antenna design, microwave engineering, and fusion energy systems, with a focus on electromagnetic band-gap (EBG) structures, resonant-cavity antennas, through-the-wall imaging, and Lower Hybrid Current Drive (LHCD) for tokamaks. His research interests include computational electromagnetics, wireless power transfer, photonic crystals, leaky-wave antennas, and 3D-printed dielectric components. He employs advanced numerical techniques such as the Cylindrical Wave Approach (CWA), Finite-Difference Time-Domain (FDTD), and Finite Element Method (FEM) for modeling and simulation. His work bridges theoretical analysis with experimental validation, particularly in microwave components and imaging systems. Recent publications highlight trends in high-gain antennas using 3D-printed superstrates, directive radiation from photonic crystals, and applications in fusion energy (e.g., DTT and ITER). His work also extends to wearable and implantable device interactions, radar systems, and inverse scattering for through-the-wall imaging. He frequently collaborates with researchers such as Cristina Ponti, Paolo Baccarelli, Silvio Ceccuzzi, and Lara Pajewski. Giuseppe Schettini has no listed scientific awards in the provided text. He advises students and researchers in electromagnetic theory and antenna systems, though specific names are not listed. His work is supported by national and international projects related to fusion energy, microwave systems, and radar technologies. He contributes to major initiatives like the Divertor Tokamak Test (DTT) facility and ITER-relevant LHCD systems. He leads research activities in electromagnetic scattering, microwave component design, and imaging systems. His team focuses on EBG-based antennas, cylindrical wave modeling, and experimental characterization of dielectric structures. The laboratory work includes 3D printing for antenna superstrates and FDTD simulations for GPR and biomedical applications.

• Power Electronics
• Embedded Systems
• Software Testing
• +۳ مورد دیگر

Davide Piumatti is a Lecturer and Technical Services Coordinator at the Department of Control and Computer Science (DAUIN) , Polytechnic University of Turin . He actively contributes to teaching in Computer Engineering , Automotive Engineering , and Aerospace Engineering programs. Specializes in Power Electronics and Embedded Systems Focuses on Software Testing and Automotive Engineering Key interests: Digital Transformation and Public Administration Technologies His recent publications emphasize thermal modeling for power devices, multi-core testing in automotive systems, and reliability engineering . He contributes to IEEE conferences and journals like Microelectronics Reliability and Electronics . Piumatti is affiliated with the LABINF - Advanced Computer Science Teaching Laboratory (DAUIN) and collaborates with researchers such as Matteo Sonza Reorda and Francesco Angione . His work addresses fault detection , test library development , and cyber-physical system validation .

• Automotive Systems-on-Chip (SoC) Testing
• Integrated Circuit Reliability
• Fault Diagnosis
• +۲ مورد دیگر

Giusy Iaria is a Research Fellow at the Department of Control and Computer Science (DAUIN) of Politecnico di Torino, Italy. She serves as an External Lecturer and Teaching Assistant for Automotive Engineering courses within the Computer Sciences program since the 2022/2023 academic year. Department of Control and Computer Science (DAUIN) CAD - Electronic CAD & Reliability Group Automotive Engineering Teaching Her research focuses on automotive system-on-chip reliability and fault diagnosis , particularly through innovative applications of logic built-in self-test (BIST) systems. She develops test cost optimization models and SEU injection setups for improving automotive electronics reliability. Recent publications analyze faulty gate layout correlations and pattern selection algorithms for reducing test costs. Her work addresses critical challenges in automotive functional safety and industrial electronics domains.

• Mechatronics
• Automotive Engineering
• Hybrid and Electric Vehicles
• +۵ مورد دیگر

Nicola Amati is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Polytechnic University of Turin. He serves as Coordinator of the Interdepartmental Center CARS@PoliTO and Director of a test rig facility for electric/hybrid vehicles. Academic Roles: Full Professor since 2020, previously Associate Professor (2014-2020) and Researcher (2002-2014) Key Research Areas: Mechatronic systems for automotive, magnetic levitation, hybrid/electric powertrains, vibration control His recent publications focus on energy-efficient automotive systems, electromagnetic actuation, and mechatronic prosthetics. He has led 21 industry-funded and 12 public-funded research projects. He supervises multiple PhD students and holds 15 patents in automotive mechatronics. His work aligns with SDG Goal 9 and ERC sectors in mechanical engineering.

• Smart Agriculture
• Artificial Intelligence
• Computer Vision
• +۵ مورد دیگر

Nicola Dilillo is a PhD Student in Computer and Systems Engineering (38th cycle, 2022-2025) at the Department of Control and Computer Science (DAUIN) of Politecnico di Torino. He also serves as an External Collaborator for Internationalization, Cooperation, Alliances and Mobility (INCAM) and as an External lecturer and/or teaching assistant at DAUIN. His educational background includes: Bachelor's degree in Computer Engineering (specializing in Embedded Systems) from Politecnico di Torino Master's degree in Computer Engineering (specializing in Embedded Systems) from Politecnico di Torino His research focuses on Smart Agriculture, integrating advanced technologies to address agri-food sector challenges. He develops AI and computer vision solutions for soil moisture prediction using recurrent neural networks (RNN, GRU, LSTM), multispectral imaging for crop health assessment, and deep learning for weed detection. His work aims to optimize resource use, increase yields, and reduce environmental impact through precision farming. His recent publications (2024-2025) demonstrate a strong trend in applying artificial intelligence to agricultural problems, particularly in soil moisture modeling, crop classification via spectral analysis, and sustainable practices using biofertilizers. The research spans computer vision, machine learning, and environmental science, highlighting interdisciplinary approaches for sustainable farming. No information on student advising or research grants was provided in the available text. He is an active member of the CAD - Electronic CAD & Reliability Group at DAUIN, contributing to research in electronic design and reliability.

• Naval Architecture
• Marine Hydrodynamics
• Computational Fluid Dynamics
• +۴ مورد دیگر

Stefano Gaggero is an Associate Professor at the University of Genoa's Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN). His teaching portfolio includes advanced courses such as Numerical Naval Architecture, Geometry of Floating Bodies, Numerical Marine Hydrodynamics, and Ship Stability for both undergraduate (Maritime Science and Technology) and graduate programs (Naval Engineering, Yacht Design). His research focuses on computational marine hydrodynamics with emphasis on: Advanced propeller and thruster design (including rim-driven systems and pumpjets) CFD-based optimization for noise reduction and efficiency enhancement Cavitation modeling and hydrodynamic performance prediction Machine learning applications in naval architecture Scale effects in experimental hydrodynamics Underwater radiated noise control Publications from 2023-2025 demonstrate a consistent focus on simulation-driven optimization of marine propulsion systems. Over 65% of recent works leverage CFD/RANS methods to innovate propeller designs, while 40% incorporate machine learning or reduced-order modeling. Key trends include robust optimization under uncertainty, hybrid physics-AI methodologies, and full-scale validation of marine propulsors.

• Autonomous vehicles
• Drones
• Embedded systems
• +۱۲ مورد دیگر

Marcello Chiaberge is an Associate Professor at the Department of Electronics and Telecommunications (DET) of the Polytechnic University of Turin. He serves as Coordinator of the Interdepartmental Center for Service Robotics (PIC4SeR) and oversees quality management for the Master's Degree in Mechatronic Engineering. With over 110 publications and 9 international patents, his work bridges academic research and industrial applications in robotics and electronics. Research Interests span a wide array of fields including Autonomous vehicles Drones Embedded systems Precision agriculture Search and rescue robotics Simultaneous localization and mapping (SLAM) Smart cities infrastructure His projects often integrate machine learning with hardware acceleration, focusing on real-time solutions for robotics applications. Recent Publications highlight his contributions to: Deep reinforcement learning for robot navigation Hybrid MPPT algorithms for solar energy optimization UAV-based remote sensing in agriculture Transformer architectures for action recognition Hardware-accelerated computer vision systems Research Leadership is evident in his coordination of PIC4SeR and principal investigator roles in projects like: HERITALISE (2025-2028) - Cultural heritage digitization EMPATHY (2024-2026) - Empathetic mobility platforms NG-UWB (2019-2023) - Next-generation localization systems MArcEL (2019-2022) - Electric agricultural machinery His teaching includes courses on electronic fundamentals and mechatronic systems, all delivered in English at the Master's level. He has served as doctoral consortium member since 2002 and currently supervises multiple PhD candidates in electronics and mechatronics fields.

• Biomedical Engineering
• Wireless Power Transfer
• Bio-inspired Electronics
• +۵ مورد دیگر

Paolo Motto Ros is an Assistant Professor at the Department of Electronics and Telecommunications at Politecnico di Torino, with the MiNES (Micro&Nano Electronic Systems) group. He holds a Ph.D. in electronic engineering from Politecnico di Torino (2009), following an M.Sc. (2005). His career spans roles at Neuronica Laboratory (2009-2012), Istituto Italiano di Tecnologia (2012-2019), and since 2019 at Politecnico di Torino as Senior Post-Doctoral Researcher and Adjunct Professor. He is an IEEE member and has organized conferences like BioCAS, ICECS, and ISCAS satellite events. Currently, he supervises 6 PhD students in projects related to wireless power systems and biomedical devices. Education: M.Sc. and Ph.D. in Electronic Engineering (Politecnico di Torino, 2005/2009) Research Interests focus on: Event-driven digital integrated circuits and systems Low-power smart sensor networks Bio-inspired electronics for robotics and medicine Wireless power transfer for implants and wearables Human motion applications and agrifood electronics Publication Trends show expertise in biomedical device design, neural interfaces, wireless power systems, and bio-inspired wearables. He leads the NerveRepack EU-funded project (2023-2027) for neural exoprosthetics. His lab affiliations include the VLSILAB group, and he serves on editorial boards for Frontiers in Bioengineering and Biotechnology . No scientific awards are mentioned in the provided texts.

Mirko Mazzoleniمشاهده پروفایل

دانشیار

• System Identification
• Fault Diagnosis
• Kernel Methods
• +۸ مورد دیگر

Mirko Mazzoleni is an Associate Professor at the Department of Management, Information and Production Engineering, University of Bergamo, Italy. His research focuses on system identification, fault diagnosis, kernel methods, and Industry 4.0 applications. He holds a Master's in Computer Science Engineering (2014) and a Ph.D. in Engineering and Applied Sciences (2018). Before becoming an Associate Professor, he served as an Assistant Professor at the Control and Automation Laboratory (CAL) from 2019 to 2024. His work integrates data science, signal processing, and machine learning to develop robust algorithms for supervisory systems and fault detection in electromechanical actuators. Notable contributions include kernel-based identification methods, visualization tools for classification results (Confusion Star/Gear), and supervision frameworks for industrial equipment. He co-founded AISent srl, applying technological solutions to industry challenges. He teaches courses like Adaptive Learning and Estimation , System Identification , and Advanced Methods for Fault Diagnosis . His research spans aerospace applications (e.g., jamming detection in aircraft actuators), vibration signal analysis, and data-driven control strategies. Recent projects include robust filter design for electromechanical systems and guidelines for industrial supervision solutions.

• Sensor Technology
• Internet of Things (IoT)
• Machine Learning Applications
• +۳ مورد دیگر

Valerio Vignoli è Professore Ordinario presso il Dipartimento di Ingegneria dell'Informazione e Scienze Matematiche della University of Siena, con research focus su sensoristica avanzata, Internet of Things, e applicazioni di machine learning in sistemi di monitoraggio ambientale e biomedico. La sua attività didattica include insegnamenti su Elettronica Applicata e Elettronica II per il corso di laurea in Ingegneria Informatica e dell'Informazione.