جست‌وجوی استاد و پژوهشگر

Crescenzo Pepeمشاهده پروفایل

پژوهشگر ارشد

• Control Theory
• Industrial Automation
• Process Control
• +۱۲ مورد دیگر

Crescenzo Pepe is a Research Fellow and Adjunct Professor at Marche Polytechnic University . His work bridges control theory and industrial automation , focusing on Industry 4.0 solutions for monitoring, optimization, and predictive maintenance in diverse sectors including steel, cement, water distribution, HVAC, hydroelectric power, and district heating. Education : B.Sc. and M.Sc. in Computer and Automation Engineering (2010, 2013), Ph.D. in Information Engineering (2017) from Marche Polytechnic University. His research centers on advanced process control , model predictive control , and process modeling , with applications in energy-intensive industries. Recent publications highlight his expertise in integrating Industry 4.0 technologies with traditional control systems, particularly for energy efficiency and real-time optimization in steel and hydroelectric plants. He also explores fuzzy logic for fault detection in industrial machinery. Pepe has co-authored over 40 publications and two Italian patents, contributing to more than 20 industrial control projects. While no specific awards are listed in the provided text, his roles as reviewer, editor, and board member for academic conferences and journals underscore his influence in the field. He has collaborated with researchers like Silvia Maria Zanoli and Giorgia Farella.

• Computer architectures and Computer aided design
• Data science
• Computer vision and AI
• +۳ مورد دیگر

Walter Gallego Gomez is a PhD Student in Computer and Systems Engineering (39th cycle, 2023-2026) and an External Lecturer/Teaching Assistant at the Department of Control and Computer Science (DAUIN) of the Polytechnic University of Turin. His academic and research journey is supported by an EBRAINS-Italy research grant. Bachelor's in Electronic Engineering (University of Antioquia, 2015) Master's in Computer Engineering (Polytechnic University of Turin, 2018) His research intersects life sciences and computer science, focusing on bioinformatics algorithms, neuromorphic hardware (Loihi2/Lava), and their implementation. He collaborates with the Electronic Design Automation (EDA) group and external entities like Candiolo Oncology Center and Telluride Neuromorphic Cognition Engineering workshop. Teaching roles include System-on-chip architecture (2024/25) and Applied AI and machine learning (2023/24-2024/25) as a course collaborator. Recent publications highlight trends in somatic structural variant detection and neuromorphic ecosystem benchmarking. His work spans automotive embedded systems (Marelli, 2018-2021), academic research assistantship (2021-2023), and interdisciplinary collaborations.

• Computer architectures
• Computer-aided design
• Data science
• +۷ مورد دیگر

Robert Alexander Limas Sierra is a Lecturer at the Department of Control and Computer Science (DAUIN) at Politecnico di Torino, Italy. He is also a PhD student in Computer and Systems Engineering, 38th cycle (2022-2025), affiliated with the CAD research group and an IEEE student member. B.S./M.Sc. in Electronic Engineering (2019/2022) - Universidad Pedagógica y Tecnológica de Colombia His research focuses on computer architectures, AI/ML, GPU computing, and hardware reliability . Key themes include neural network robustness, tensor core optimization, and fault tolerance in AI accelerators. Recent publications address self-testing libraries for GPUs, CNN error mitigation, and reliability implications of edge computing. Teaching activities include collaboration in Computer Sciences and Automotive Engineering courses (2023/24 and 2024/25 academic years).

Valentina Gatteschiمشاهده پروفایل

دانشیار

• Blockchain
• Ethereum
• Human-computer interaction
• +۶ مورد دیگر

Valentina Gatteschi is an Associate Professor at the Department of Control and Computer Engineering (DAUIN) at the Polytechnic University of Turin, Italy. She is a member of the GRAphics and INtelligent Systems (GRAINS) research group and has been actively involved in teaching and research in the fields of blockchain technology, human-computer interaction, and distributed systems. Dr. Gatteschi received her BSc and MSc degrees in management engineering and her PhD degree in computer engineering from Politecnico di Torino in 2005, 2008, and 2013, respectively. Her research focuses on blockchain technology, smart contracts, and their applications across various domains. She has made significant contributions to understanding how blockchain can be applied in areas such as decentralized finance, sustainable mobility, energy data marketplaces, and digital identity. Her work often bridges the gap between theoretical blockchain concepts and practical implementations, with a particular emphasis on user experience and system integration. She has led several research projects including "B4A - Blockchain for All" (2023-2025), which aims to make blockchain technology more accessible to diverse user groups. Her recent publications reveal a strong trend toward practical blockchain applications, particularly in sustainability contexts (CO2 tracking, circular economy), finance (DeFi), and transportation (smart mobility solutions). She has also been exploring the intersection of blockchain with emerging technologies like large language models for smart contract generation and analysis. Dr. Gatteschi serves as a supervisor for PhD students working on blockchain-related topics, including Alberto Butera (researching Blockchain Technology for Intelligent Vehicles) and Emanuele Antonio Napoli (analyzing smart contracts). She has been involved in multiple research projects funded by both national and commercial sources, demonstrating the practical relevance of her work to industry and government sectors. She is actively involved in teaching courses related to information visualization, digital transformation technologies, and database systems at both undergraduate and graduate levels at the Polytechnic University of Turin.

• Experimental mechanics
• Multibody dynamics
• Multibody systems
• +۱۳ مورد دیگر

Nicola Bosso is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin, Italy. He serves as a member of the College of Mechanical, Aerospace and Automotive Engineering and has been continuously involved in the PhD program in Mechanical Engineering for multiple cycles from 2015/2016 through 2024/2025. His academic career spans over a decade of teaching and research in mechanical engineering with a strong emphasis on railway systems and multibody dynamics. Research Focus: Professor Bosso specializes in experimental mechanics and multibody dynamics with particular expertise in railway dynamics, monitoring systems, and vehicle dynamics. His research encompasses roller rig testing methodologies, wear analysis of materials, and wheel-rail contact mechanics. His work aligns with several Sustainable Development Goals including Industry, Innovation and Infrastructure (Goal 9), Sustainable Cities and Communities (Goal 11), Responsible Consumption and Production (Goal 12), and Climate Action (Goal 13). His research integrates computational engineering with experimental validation to address complex railway engineering challenges. Publication Trends: Recent publications demonstrate a strong focus on digital twin technology for freight wagon monitoring, advanced wear simulation algorithms, and thermo-mechanical interactions in braking systems. His work increasingly combines AI techniques with traditional engineering approaches, reflecting the evolving nature of railway engineering research. The publications span conference proceedings and journal articles in high-impact railway engineering venues. Advising and Research Leadership: Professor Bosso has supervised PhD students including Matteo Magelli (35th cycle, 2019-2023), whose thesis focused on numerical and experimental tools for train braking simulations. He leads numerous research projects including AI4FREIGHT (2025-2029), a Railway Freight Wagon Monitoring System based on Digital Twins, and various consulting projects with railway industry partners. His research portfolio spans competitive national grants, regional innovation centers funding, and commercial contracts with railway technology companies. Research Infrastructure: He is affiliated with the Design and experimentation of industrial and railway systems and microsystems (DIMEAS) research group, where he contributes to the development of testing methodologies and simulation tools for railway applications. His work involves close collaboration with industry partners on practical railway engineering challenges, including derailment prevention, vehicle dynamics optimization, and innovative testing equipment development.

Biagio Cosenzaمشاهده پروفایل

دانشیار

• High-performance computing
• Compiler technology
• Software optimization
• +۷ مورد دیگر

Biagio Cosenza is an Associate Professor at the Department of Computer Science, University of Salerno, Italy. He leads research in high-performance computing, compiler technology, and software optimization. Previously, he was a Senior Researcher at TU Berlin (2015-2019) and a Post-Doctoral Researcher at the University of Innsbruck, Austria (2011-2015). His educational background includes: Ph.D. from University of Salerno (2011), supervised by Prof. Vittorio Scarano Dr. Cosenza's research focuses on creating efficient programming models for heterogeneous computing systems. His work spans compiler technology, automatic performance tuning, and energy-efficient computing approaches. He has made significant contributions to SYCL-based programming models and MPI implementations, with emphasis on portability across diverse hardware platforms including GPUs and accelerators. His research often bridges theoretical computer science with practical applications in scientific computing and bioinformatics. His recent publications demonstrate a strong trend toward heterogeneous and distributed computing, with particular emphasis on energy efficiency, performance portability, and SYCL-based programming models. Many papers focus on applications in drug discovery and scientific simulations, showing how his theoretical work translates to real-world scientific problems. Dr. Cosenza has received several prestigious recognitions: Best Paper Award at the 14th BenchCouncil International Symposium (2022) Elevated to Senior Member of the IEEE (2022) Recognized as ACM Senior Member (2022) He leads multiple significant research projects including the PRIN 2022 project "LibreRT" and the EuroHPC project "LIGATE." His work has secured substantial funding from sources including the German Research Foundation (DFG), the Italian Ministry of Education, University and Research, and EuroHPC. He actively mentors students and collaborators on advanced topics in high-performance computing. Dr. Cosenza is a member of the ISIS Lab at the University of Salerno and contributes to open standards through his work with the Khronos Group and SYCL Working Group. His research group develops tools like CELERITY, a C++ SYCL-based programming model for accelerator clusters, and EMPI, an enhanced message passing interface in modern C++.

• Cryptography
• Post-Quantum Cryptography
• Cryptanalysis
• +۳ مورد دیگر

Guglielmo Morgari is a researcher at the Department of Mathematical Sciences 'G. L. Lagrange' (DISMA) at Politecnico di Torino. He serves as an external tutor for PhD students in the Cryptography and Number Theory research group, advising Elena Broggini, Marco Rinaudo, Giuseppe D'Alconzo, and Edoardo Signorini. His research focuses on cryptography, post-quantum security, and cryptanalysis. Current Affiliation: Politecnico di Torino, DISMA Academic Role: Researcher (external tutor) Research areas include: Cryptography Quantum Key Distribution Public-Key Cryptosystems Coding Theory Cryptanalysis Recent publications emphasize quantum-safe communication infrastructure, post-quantum encryption adaptations, and cryptographic sequence analysis. His work spans theoretical foundations and hardware implementations like quantum random number generators.

• Energy analysis
• Energy communities
• Energy efficiency
• +۷ مورد دیگر

Romano Borchiellini is a Full Professor in the Department of Energy (DENERG) at the Polytechnic University of Turin, Italy, serving as Rector's Representative for the Energy Center and Coordinator of the Interdepartmental Center Ec-L - Energy Center Lab. His academic work spans energy systems engineering with significant contributions to both theoretical research and practical applications in sustainable energy and safety engineering. Professor Borchiellini's research focuses on energy analysis, energy communities, energy efficiency, fire safety, and tunnel ventilation systems. His work bridges fundamental thermal engineering with practical sustainability applications, particularly in urban energy systems and transportation infrastructure. He has developed expertise in industrial technical physics with applications ranging from renewable energy communities to tunnel safety engineering, aligning with multiple UN Sustainable Development Goals including affordable clean energy, industry innovation, sustainable cities, and climate action. His recent publications demonstrate a clear research trajectory toward decarbonization strategies, renewable energy integration, and safety considerations for emerging energy technologies. The publications reveal increasing focus on hydrogen technologies, battery safety systems, and advanced ventilation solutions for transportation infrastructure, reflecting evolving energy transition challenges. His work consistently connects engineering fundamentals with practical sustainability applications across multiple sectors. Professor Borchiellini has supervised PhD students including Roberto Paglini (focusing on methane emission reporting) and Azad Hamzehpour (researching water mist systems for fire applications). He has secured numerous research grants from competitive calls, regional funding programs, national PRIN projects, and corporate partnerships, demonstrating strong research leadership and funding acquisition capabilities across multiple domains. He leads the Research Group M3ES within DENERG and coordinates the Energy Center Lab at Politecnico di Torino, which serves as an interdisciplinary hub for energy transition research. The laboratory work focuses on thermal systems analysis, energy efficiency optimization, and safety engineering applications, with particular emphasis on practical implementation in urban environments and transportation infrastructure.

• Energy Systems Optimization
• Hydrogen Energy
• Renewable Energy Integration
• +۳ مورد دیگر

Marco Cavana is a Fixed-term Assistant Professor at the Department of Energy (DENERG), Polytechnic of Turin, affiliated with the College of Electrical and Energy Engineering. His academic career spans teaching roles across Energy and Nuclear Engineering, Mechanical Engineering, and Electrical Engineering programs as a Course Collaborator. PhD Supervision: Mentoring three doctoral students in Energetics (38th and 39th cycles) Research Focus: Specializing in thermal engineering, hydrogen energy systems, and energy network optimization Commercial Research: Leading a 2023-2024 feasibility study for green hydrogen in Uzbekistan's Karshi region His work bridges renewable energy integration with gas networks through hydrogen technologies, addressing critical energy transition challenges in both academic and industrial contexts.

• Electrical Engineering
• Power Systems
• Smart Grids
• +۶ مورد دیگر

Pietro Colella is an Associate Professor at the Department of Energy (DENERG) , Politecnico di Torino , with roles as a Junior Project Manager and active researcher. Research interests: Electrical Energy Systems , Data Science , Electrical Safety , and alignment with SDG 7 (Affordable Clean Energy), SDG 9 (Innovation), and SDG 12 (Sustainable Development). Awards: Mentoring Polito Project (M2P) (2024), Learning to Teach (L2T) (2023). Scientific roles: President of AEIT's Youth Group (2022-2024), Editorial Board Member for Smart Cities (2020-2022). Teaching contributions: Titolare del corso for Impianti Elettrici e Sicurezza (2022-2025), Collaboratore del corso for Electrical Systems for Buildings (2022-2025). Research leadership: Responsabile Scientifico for projects like NeTS (DC Smart Grids for Transport, 2025-2027), OASIS 4 ENERGY (Ancillary Services Market Design, 2023-2025), and Electrical Risk Assessment in GTT S.p.A (2025-2026).

• Electrical Power Systems
• Power Electronics
• Renewable Energy Integration
• +۳ مورد دیگر

Enrico Carpaneto is a Tenured Associate Professor at the Department of Energy (DENERG) of Politecnico di Torino , where he has held teaching and research roles since 2003. He is a member of the Power Electronics Innovation Center (PEIC) and leads the GUSEE research group. Current academic rank: Associate Professor Primary research focus: Electrical Power Systems and Grid Technologies Email: enrico.carpaneto@polito.it Research Interests Carpaneto specializes in: Microgrid modeling and optimization Virtual Synchronous Machine technologies Power converter applications for grid services Renewable energy integration in power systems Grid stability analysis and fault response His work emphasizes sustainable energy solutions for critical infrastructure like road tunnels, combining power electronics with advanced control strategies. Recent Publications Trends His 2023-2024 publications focus on: Virtual synchronous machine implementations Grid-forming and grid-following converter behaviors Microgrid energy community models Induction motor diagnostic testing Robust stability analysis for grid-connected systems These works demonstrate his expertise in modernizing power systems through advanced converter control and sustainable energy management.

• Automated vehicle systems
• Connected vehicles
• Mobility engineering
• +۵ مورد دیگر

Mauro Velardocchia is a Full Professor at the Polytechnic University of Turin , affiliated with the Department of Mechanical and Aerospace Engineering (DIMEAS) . With over 20 years of academic leadership, he specializes in automated vehicles, connected mobility systems, and advanced powertrain engineering . Research focus on vehicle dynamics, magnetic transmission systems, and energy-efficient automotive technologies Active in European and national research projects including OWHEEL, EFFEREST, and CliMAFlux Teaching contributions to Mechanical Engineering programs since 2000 His recent publications analyze autonomous off-road navigation, tracked vehicle dynamics, and digital twin technologies . Current research projects emphasize sustainable mobility (Goal 9), climate action (Goal 13), and engineering education (Goal 4). Key technical expertise in nonlinear vehicle modeling Leadership in EU-funded MSCA and Horizon Europe projects

• Mechanical Engineering
• Automotive Engineering
• Machine Learning
• +۷ مورد دیگر

fabio alberti is a fixed-term assistant professor at the department of mechanical and aerospace engineering (dimeas) of politecnico di torino. he is affiliated with the college of mechanical, aerospace, and automotive engineering. his work spans mechanical engineering, automotive systems, and applied mechanics. fabio's research integrates machine learning with mechanical engineering, focusing on vehicle dynamics, smart design algorithms, and biomedical applications like hip and dental prosthetics. his studies address fatigue analysis, vibration modeling, and tire dynamics. his recent articles highlight trends in electric powertrain control with neural networks smart design for automotive and biomedical components multi-physical modeling of tires and urban vehicles tribological and biomechanical analysis vibration and fatigue life evaluation

• Digital Twin
• Multibody Dynamics
• Railway Vehicle Dynamics
• +۵ مورد دیگر

Matteo Magelli is a Fixed-term Assistant Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS), Politecnico di Torino. His research focuses on digital twins, multibody dynamics, and railway vehicle dynamics, with specific interests in wheel-rail contact mechanics, tribology, and brake simulation. Fixed-term Assistant Professor (2024-present) Teaching roles: PhD Multibody Systems Applications, Master of Science in Machine Construction, and Bachelor-level courses Supervised PhD student: Rosario Pagano (Mechanical Engineering, 40th cycle) Research projects include dynamic simulations for railway braking systems, thermal analysis of synthetic brake blocks, and design of next-generation carbody technology. His work aligns with SDGs 9 (Industry Innovation) and 11 (Sustainable Cities). Selected publications address topics such as twin-disc device adaptation for braking investigations, railway wheel wear modeling, and digital twin integration in train dynamics.

• Mathematical Modeling
• Production Planning and Control
• Production Systems
• +۳ مورد دیگر

Erica Pastore is a Fixed-term Researcher in the Department of Management and Production Engineering (DIGEP) at Politecnico di Torino , affiliated with the College of Management and Production Engineering . Her work spans mathematical modeling, production planning, and simulation optimization within industrial engineering contexts. Teaching roles: Course Lecturer (2024/25, Management and Production Engineering), Course Collaborator (2025/26, Management Engineering) Sciences: Production Systems , Manufacturing Technologies , Sustainable Operations Her research focuses on mathematical modeling for production planning and optimization , examining variability propagation in manufacturing systems, additive manufacturing time estimation , and circular economy strategies at scheduling levels. Publications address flow line optimization , parallel batching , and healthcare logistics through simulation and analytical modeling . Recent work trends include flow time minimization (2025), additive manufacturing scheduling (2024), idle time reduction (2023), and urban logistics (2022). She has collaborated on 15+ publications since 2012, working with colleagues like Arianna Alfieri , Claudio Castiglione , and Barbara Previtali across production optimization, healthcare systems, and logistics.