جست‌وجوی استاد و پژوهشگر

• Electronics
• Flexible Electronics
• Biocompatible Electronics
• +۸ مورد دیگر

Giovanni Antonio SALVATORE is an Associate Professor in the Department of Molecular Sciences and Nanosystems at Ca' Foscari University of Venice. His research focuses on advanced electronics, particularly flexible, biocompatible, and biodegradable systems, with applications in sustainable technology and energy efficiency. He leads research projects funded by MIUR and collaborates internationally in the fields of electronic packaging and power module simulation. His research interests include flexible and biocompatible electronics , biodegradable electronic packaging from biowaste , and multiphysics simulation of power modules for electric vehicles using wide bandgap semiconductors. His work bridges materials science, electronics engineering, and sustainability, aiming to develop eco-friendly and high-performance electronic systems. Dr. Salvatore has served in key academic roles, including Associate Editor for Frontiers in Electronics - Bioelectronics and Editorial Advisory Board Member for Micro and Nanosystems Journal. He has also acted as a referee for prestigious funding bodies such as the European Research Council (ERC) and the Israel Science Foundation (ISF). Associate Editor, Frontiers in Electronics - Bioelectronics (2021–present) Editorial Advisory Board Member, Micro and Nanosystems Journal, Bentham Science (2019–present) Board Member, IEEE Electronics Packaging Society (EPS)- Chapter Switzerland (2018–2021) He has led and participated in significant research projects, including those funded by MIUR on biodegradable electronics and energy-efficient traction inverters for electric vehicles. His prior experience includes roles as Senior Scientist at ABB Corporate Research, Team Leader at ETH Zurich, and Post-doctoral Fellow at the University of Illinois at Urbana-Champaign under Prof. John A. Rogers. Dr. Salvatore is also responsible for Laboratory Teaching and Research Activities (RDRL) and serves as Laboratory Safety Officer at the Research Institute for Complexity Sicurezza. His international research experience spans Europe, North America, and the Balkans, with advanced proficiency in English and native fluency in Italian.

• Numerical Analysis
• Computational Mathematics
• Partial Differential Equations
• +۷ مورد دیگر

Nicola Ferro is a Researcher in the Department of Molecular Sciences and Nanosystems at Ca' Foscari University of Venice, specializing in numerical analysis and computational mathematics. He actively contributes to teaching and research, with a strong focus on numerical methods for PDEs, optimization, and mesh adaptation. His research interests lie at the intersection of applied mathematics and engineering, particularly in numerical methods for partial differential equations , topology optimization , mesh adaptation , and their applications in biomedical engineering , solid mechanics , and sustainable technologies . His work bridges theoretical developments with real-world applications in medical devices and environmental monitoring. The recent publications highlight a consistent trend in computational modeling, particularly in developing advanced numerical techniques for biomedical applications (e.g., vascular stents) and data-efficient simulation (e.g., mesh adaptation and data compression). His research integrates high-performance computing with multiphysics modeling to solve complex engineering challenges. Editor’s Choice (2024) for a paper in Mathematical and Computational Applications PhD Olympiad Winner (2021) – ECCOMAS Congress Research Scholarship (2021) – Istituto Nazionale di Alta Matematica (INdAM) Research Scholarship (2020) – Fondazione Fratelli Confalonieri Premio Cercignani (2016) – Best Master's Thesis in Computational Science and Engineering, Politecnico di Milano Nicola Ferro has secured multiple research grants, including as Principal Investigator in GNCS INdAM projects (2023, 2025) and the Finanziamento Giovani Ricercatori (2019). He is involved in national projects such as PRIN P2022JLNPJ (RESET) and PRIN 20204LN5N5, and collaborates with industry partners like Thales Alenia Space Italia. He mentors students and contributes to academic service as a guest editor and reviewer for top journals. He is part of a vibrant research group focused on computational mathematics and numerical methods, collaborating closely with researchers such as Simona Perotto, Umberto Morbiducci, and Claudio Chiastra. His work is embedded in interdisciplinary teams tackling challenges in biomedical engineering and sustainable technology development.

Matteo-Claudio Palpacelliمشاهده پروفایل

دانشیار

• Robotics
• Mechatronics
• Applied Mechanics
• +۱۲ مورد دیگر

Matteo-Claudio Palpacelli is an Associate Professor in the Department of Industrial Engineering and Mathematical Sciences at the Polytechnic University of Marche, where he has been a faculty member since 2019, following his role as a researcher from 2008 to 2019. He teaches Applied Mechanics to Machines at the Bachelor's level and Functional Design at the Master's level, both at the Ancona campus. Bachelor of Science in Mechanical Engineering, Polytechnic University of Marche, 2004 PhD in Artificial Intelligence Systems in Information, Management, and Industrial Engineering, Polytechnic University of Marche, 2008 His research lies at the intersection of Robotics, Mechatronics, and Applied Mechanics , with a strong emphasis on parallel kinematic machines , collaborative robotics , reconfigurable robots , robotic microassembly , and visual servoing . He has advanced expertise in biomechanics and rehabilitation robotics through a collaboration with King’s College London. His work also extends to multibody system dynamics and compliant mechanisms. Palpacelli has contributed to national PRIN projects in bioengineering and miniaturized robotics, as well as European projects in the textile sector. The recent publications (2021–2024) highlight a consistent focus on collaborative robotics, optimization of robotic motion, compliant mechanisms, and industrial automation. There is a clear trend toward integrating AI and machine learning in robotic polishing and defect detection, while maintaining a strong foundation in kinematic analysis, control strategies, and mechanical design. Topics such as collision avoidance, inverse kinematics of non-spherical wrist robots, and flexure hinge modeling reflect both theoretical and applied contributions. His scientific contributions are recognized through over 60 Scopus-indexed publications and two patents. While no specific awards are mentioned in the text, his leadership in research projects and international collaborations underscores his academic impact. He actively supervises PhD students, including Albin Bajrami, Federico Emiliani, and others, and collaborates closely with colleagues such as Massimo Callegari and Luca Carbonari. He is involved in the i-LABS research initiative, focusing on human-robot collaboration and industrial case studies. His research group is engaged in both fundamental and applied projects, bridging academia and industry.

• Electrical Engineering
• Electromagnetic Analysis
• Power Systems
• +۴ مورد دیگر

Maurizio Repetto is a Full Professor at Polytechnic University of Turin's Department of Energy (DENERG), with affiliations in the Power Electronics Innovation Center (PEIC) and the Master's and Continuing Education School. His research focuses on electromagnetic analysis, power systems, and renewable energy integration, particularly in energy communities. Research interests span: Electromagnetic field simulation and analysis Optimization methods for energy systems Renewable energy integration and storage Smart grid technologies Sustainable community energy models Recent publications demonstrate strong focus on photovoltaic energy communities, electric vehicle infrastructure, and data-driven modeling of electromechanical systems, reflecting interdisciplinary work combining electrical engineering with optimization algorithms and policy analysis. Awards: ACES Journal Best Paper Award (2008) Research Leadership: Principal investigator for multiple competitive grants including: AGRITECH Spoke 6 (2022-2025, PNRR) E2DRIVER - EU H2020 (2019-2022) Smart Storage for Energy Communities (2014-2015) Leads the CADEMA research group and mentors PhD students in electrical engineering and photovoltaics. Developed patents in energy harvesting technologies including magnetic transmission systems and motion-based generation.

• Optoelectronics
• Semiconductor Devices
• Photonics
• +۶ مورد دیگر

Michele Goano is a Full Professor in the Department of Electronics and Telecommunications (DET) at the Polytechnic University of Turin. He serves as Coordinator of the Doctoral School in Electrical, Electronics and Communications Engineering and is a member of both the PhotoNext Interdepartmental Center for Applied Photonics and the Doctoral School Council. His contact information includes phone number +39 0110904142 and email michele.goano@polito.it. Professor Goano's research spans multiple areas of optoelectronics and semiconductor physics. His primary interests include multiscale physics-based modeling of optoelectronic devices, far-infrared image sensor design, Si and III-V photonic integrated circuits, multiphysics CAD of vertical-cavity surface-emitting lasers (VCSELs), efficiency and reliability of visible and UV light-emitting diodes, and full-band Monte Carlo electron transport simulation. His work connects fundamental semiconductor physics with practical device applications, particularly in photonics and optoelectronics. His publication record shows consistent contributions to the field since the early 2000s, with recent work focusing on silicon photonics, infrared detectors, and advanced modeling of LED efficiency issues. The publications demonstrate a progression from fundamental band structure calculations to applied device modeling and optimization, with strong industry connections through commercial research contracts. Professor Goano actively supervises numerous PhD students across multiple research areas including radiation detectors, silicon photomultipliers, photonic integrated circuits, and semiconductor device modeling. He has secured significant research funding through both competitive international grants and commercial research contracts, particularly in the areas of infrared detector technology and silicon photonics. He is a member of the Microwave and Optoelectronics Group (MOG) within DET and has coordinated the Doctoral School in Electrical, Electronics and Communications Engineering for multiple cycles. His teaching portfolio includes courses on semiconductor device CAD, electronic transport in semiconductors, and specialized topics like VCSELs.

• Numerical Analysis
• Virtual Element Methods
• Partial Differential Equations
• +۳ مورد دیگر

Andrea Borio is an Associate Professor at the Department of Mathematical Sciences 'GL Lagrange' (DISMA) at Politecnico di Torino. He is affiliated with the College of Mathematical Engineering and College of Mechanical, Aerospace and Automotive Engineering . His research focuses on Numerical Analysis , Virtual Element Methods , Partial Differential Equations , and Mesh Adaptivity . Research Interests: A posteriori error estimates, mesh adaptivity for polygonal/polyhedral grids, stabilization-free numerical methods, and applications of virtual element methods in geomechanics, biomedical simulations, and coupled flow problems. Recent Publications highlight advancements in stabilization-free virtual element methods for elliptic equations, divergence-free projections, and software frameworks like POLYDIM and GEOS for large-scale simulations. His work spans applications in underground fluid storage, brain tumor modeling, and discrete fracture networks. Teaching: Courses include Sobolev Spaces on Non-Smooth Domains , Solving PDEs on Polygonal Meshes , and modules on numerical models/methods across Mathematical, Mechanical, and Aerospace Engineering programs. Students: Supervises Davide Fassino, a PhD student in Pure and Applied Mathematics (38th cycle, 2022–ongoing). Skills: ERC sectors include numerical analysis, scientific computing, and mathematical applications in industry.