جستجوی استاد راهنمای دانشگاهی

Daniele Ielminiمشاهده پروفایل

استاد

• Non-volatile memory technologies
• Resistive switching memory (RRAM)
• Phase change memory (PCM)
• +۵ مورد دیگر

Daniele Ielmini is a Professor at the Department of Electronics, Information and Bioengineering at Politecnico di Milano, Italy, where he leads research in non-volatile memory technologies and neuromorphic computing. He received his Laurea (with merit) and Ph.D. in Nuclear Engineering from Politecnico di Milano in 1995 and 2000, respectively, and has held visiting positions at Intel Corporation (2006), Stanford University (2006), and the University of Illinois at Urbana-Champaign (2010). His research focuses on the modeling and characterization of non-volatile memories, including nanocrystal memory, charge trap memory, phase change memory (PCM), resistive switching memory (RRAM), and spin-transfer torque magnetic memory (STT-MRAM). He has co-edited the book 'Resistive switching – from fundamental redox-processes to device applications' and published over 300 papers with more than 10,000 citations and an H-index of 69 (Scopus, September 2023). Prof. Ielmini's recent publications demonstrate a strong trend toward in-memory computing and neuromorphic applications, with particular emphasis on closed-loop analog computing architectures, reservoir computing with 2D materials, and hardware security implementations using emerging memory technologies. His work bridges fundamental device physics with practical computing applications, especially for energy-efficient AI acceleration. Intel Outstanding Researcher Award (2013) ERC Consolidator Grant (2014) IEEE-EDS Paul Rappaport Award (2015) Fellow of the IEEE Prof. Ielmini leads multiple ERC-funded projects including SHANNON (Secure Hardware with Advanced Nonvolatile memories), NEURO2D (neuromorphic systems based on reservoir computing in MoS2), and ANIMATE (closed-loop in-memory computing). His research group includes post-doctoral researchers, PhD students, and M.Sc. students working on various aspects of emerging memory technologies and their applications. He serves as Associate Editor for IEEE Trans. Nanotechnology and Semiconductor Science and Technology (IOP), and has served in several Technical Subcommittees of international conferences including IEEE-IEDM, IEEE-IRPS, and IEEE-ISCAS. His laboratory at Politecnico di Milano is equipped with advanced semiconductor device testing equipment including probe-stations, semiconductor parameter analyzers, high-speed waveform generators, and other specialized instruments for nano-electronic research. The lab collaborates with major semiconductor companies including Micron Technology Inc. and STMicroelectronics, as well as participating in national and international research projects.

• 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.

• Logic-in-memory
• Machine learning
• Nanocomputing
• +۷ مورد دیگر

Marco Vacca is an Associate Professor in the Department of Electronics and Telecommunications (DET) at Politecnico di Torino and a member of the Interdepartmental Center PIC4SeR - PoliTO Interdepartmental Centre for Service Robotics. His work bridges electronics, nanotechnology, and computing architecture with a focus on innovative solutions to the memory wall problem. His research spans Logic-in-memory computing, Machine learning hardware acceleration, and Nanocomputing with specific emphasis on circuit architectures for probabilistic computing, magnetic devices, hybrid technologies integration, and CAD tools for emerging technologies. Dr. Vacca leads research in RISC-V extensions, hardware accelerators for AI, and autonomous robot systems for agricultural applications through the VLSILAB research group. Recent publications reveal a strong trend toward solving fundamental computing challenges through nanoscale innovations, particularly in memory-centric architectures, molecular field-coupled computing, and novel transistor technologies. His work demonstrates how logic-in-memory approaches can overcome traditional von Neumann limitations while improving energy efficiency for AI workloads. Editorial board member of ELECTRONICS (2021-2023) Program committee member for Design, Automation and Test in Europe Conference (DATE) 2020-2021 Dr. Vacca supervises PhD student Alessandro Varaldi working on 'Hardware AI Accelerators for Automotive Applications' and has led significant research projects including 'Device for Storage and Processing Data and Related Method' (2020-2021) and 'Quantum Computing and Quantum Communication: State of the Art and Applications in the Telco Sector' (2020). His grant portfolio shows strong industry and competitive funding support. As a core member of the VLSILAB research group, Dr. Vacca contributes to advancing VLSI theory and design applications with particular focus on implementing Big Data, Machine Learning, and Neural Networks in specialized hardware architectures that push the boundaries of conventional computing.

• 3D modeling
• Capacitive sensors
• Polymeric 3D printing
• +۷ مورد دیگر

Luciano Scaltrito is a Full Professor in the Department of Applied Science and Technology (DISAT) at the Polytechnic University of Turin, where he also serves as a member of the Interdepartmental Center PEIC - Power Electronics Innovation Center and Scientific Advisor for the Partnership Agreement with SPEA. His research focuses on micro and nanotechnologies, power electronics, and MEMS devices. His primary research interests include 3D modeling, capacitive sensors, polymeric 3D printing, solid state physics, and surface micromachining. Professor Scaltrito's work spans the study of packaging technologies for power electronics and MEMS devices, mechanical/electrical/thermal/optical interfaces for electronic devices, lithographic processes for silicon and silicon carbide power devices, and production processes for sensors and actuators. His research aligns with several Sustainable Development Goals including Good Health and Well-being, Quality Education, Clean Water and Sanitation, Decent Work and Economic Growth, Industry Innovation and Infrastructure, and Partnerships for the Goals. His recent publications demonstrate a strong focus on 3D printing applications for electronics and MEMS, power electronics packaging, environmental monitoring sensors, and advanced materials for energy applications. The research spans multiple disciplines including materials science, electronics engineering, environmental engineering, and nanotechnology. President of Italian Association of Science and Technology (2017-2020) Vice President of Italian Association of Science and Technology (2016) Steering Committee member of Italian Association of Science and Technology (2015, 2021) Program committee member for MNE2021 conference Professor Scaltrito actively supervises numerous PhD students across multiple programs including Electrical, Electronic and Communications Engineering, and Sustainable Materials, Processes and Systems for Energy Transition. He leads multiple research projects including SMIP (2024-2027), SIRCEC (2023-2025), and ECOSMARTROAD 2.0 (2021-2023), with funding from regional, national, and EU sources as well as commercial contracts with industry partners. He directs the CHILAB Laboratory in Chivasso, which focuses on materials and microsystems research, and maintains strong industry partnerships through numerous commercial research agreements with companies including SPEA S.p.A. and Dana-TM4 Italia S.r.l.

Giuseppe Iannacconeمشاهده پروفایل

استاد

• Quantum Electronics
• Neuromorphic Computing
• 2D Materials
• +۵ مورد دیگر

Giuseppe Iannaccone is a full Professor at the University of Pisa , Department of Information Engineering. His research focuses on quantum electronics , neuromorphic computing , and 2D materials for advanced applications in analog circuits and high-temperature electronics. Lead researcher in QUEPE Quantum Engineering and QUEFORMAL projects Pioneer in neuromorphic chip design using silicon and 2D materials Active in developing high-temperature integrated circuits for industrial applications His recent work explores twisted transition metal dichalcogenides for spintronics, inkjet-printed 2D electronics on paper substrates, and wireless power transfer systems for medical devices. The Google Scholar articles show consistent contributions to analog neuromorphic engines , quantum transport modeling , and steep-slope transistor architectures . Collaborations include Gianluca Fiori and Benjamin Zambrano in neuromorphic hardware development. He actively promotes student well-being through institutional initiatives like the Ufficio Benessere at University of Pisa and has taught RFID and IoT courses for PhD students. Current research integrates MoS2/graphene heterostructures and van der Waals junctions for next-generation electronics.

D'ANIELLO FEDERICOمشاهده پروفایل

پژوهشگر

• Electronics
• Integrated Circuits Design
• Quantum Computing
• +۳ مورد دیگر

D'ANIELLO FEDERICO is a Fixed-term Researcher at the University of Milan-Bicocca, affiliated with the Department of Physics 'Giuseppe Occhialini'. His work focuses on advanced electronics and integrated circuits design, particularly for quantum computing and automotive networks. Email: federico.daniello@unimib.it His research spans FinFET technology , low-noise amplifier (LNA) design , and single-event upset characterization in nanoscale transistors. Recent studies include applications in cryo-CMOS systems and high-speed automotive transceivers . Key trends in his publications involve semiconductor device modeling , quantum hardware optimization , and robust communication protocols for automotive environments.

• Functional Safety
• Functional Testing
• Microprocessor Testing
• +۹ مورد دیگر

Riccardo Cantoro is an Associate Professor in the Department of Control and Computer Science (DAUIN) at Politecnico di Torino, where he is a member of the College of Computer, Film and Mechatronics Engineering and the College of Mechanical, Aerospace and Automotive Engineering. He is affiliated with the CAD - Electronic CAD & Reliability Group and the CARS@PoliTO Interdepartmental Center for Automotive Research and Sustainable Mobility. His work bridges academic research and industrial applications through multiple commercially funded projects. Scientific Disciplinary Sector: IINF-05/A - Information Processing Systems ERC Sectors: PE7_4, PE6_2, PE6_11, PE6_12 His research focuses on functional safety, functional testing, and microprocessor testing, with a strong emphasis on embedded systems and reliability. He applies machine learning and formal methods to enhance test efficiency and system robustness, particularly in automotive and safety-critical domains. His work integrates computer-aided design, fault modeling, and resilience assessment in both hardware and AI systems. The recent publications highlight a trend toward data-efficient and intelligent testing methodologies, combining machine learning (e.g., TabPFN, active learning) with traditional electronic design automation. Topics include microcontroller performance screening, CNN resiliency, FeFET device testing, and system-level test optimization, reflecting a cohesive research agenda in trustworthy computing and hardware reliability. Scientific Awards: No awards explicitly mentioned in the provided texts. Advising and Grants: Dr. Cantoro supervises numerous PhD students in Computer and Systems Engineering, focusing on functional safety, test methodologies, and AI for CAD. He leads multiple industry-funded research projects, including collaborations with Infineon Technologies and Dana-TM4 Italia, on topics such as ATPG tools, speed monitor modeling, and power module reliability. His role as Scientific Manager/Head underscores his leadership in applied research and technology transfer. Labs and Teams: He is a core member of the CAD - Electronic CAD & Reliability Group (DAUIN) and contributes to the CARS@PoliTO center, fostering interdisciplinary research in automotive systems and sustainable mobility.

• Power Electronics
• Electrical Engineering
• Control Systems
• +۳ مورد دیگر

Mario Marchesoni is a Professor at the Department of Naval, Electrical, Electronics and Telecommunications Engineering (DITEN) , affiliated with the University of Genoa . His academic responsibilities include coordinating the PhD program and teaching advanced courses in electrical engineering with a focus on energy transition and industrial technologies. Ranks: Full Professor Departments: DITEN Research Interests center on power electronics, control systems, and energy conversion , addressing challenges in hybrid vehicles, induction motor drives, and energy storage systems. His work emphasizes improving efficiency and reliability in electrical systems through innovative control strategies and converter topologies. Recent Publications (2024) highlight advancements in DC-DC converters for hybrid vehicles , thermal management of high-power diodes , and sensorless control of induction motors . Key themes include dynamic performance optimization, sub-harmonic reduction, and hybrid energy storage solutions. Contact: Email mario.marchesoni@unige.it or phone +39 010 33 52183. Office hours by appointment at DITEN, via all'Opera Pia 11a, first floor, Genova.

• Flexible Electronics
• Biodegradable Electronics
• Multiphysics Simulations
• +۳ مورد دیگر

John Anthony Salvatore is an Associate Professor in the Department of Molecular Sciences and Nanosystems at Ca' Foscari University of Venice. He holds a PhD in Electrical Engineering from École Polytechnique Fédérale de Lausanne (2011) and a Master's in Micro and Nanotechnology from Polytechnic of Turin (2006). His research focuses on flexible and biodegradable electronics, multiphysics simulations for power modules, and energy-efficient semiconductor systems. He has contributed to over 60 publications and actively participates in editorial roles for journals like Frontiers in Electronics and Micro and Nanosystems . His current grants include projects on biodegradable packaging and energy-efficient wide-bandgap semiconductors. Research interests include biodegradable electronics, stretchable sensor systems, and power electronics packaging. His work bridges material science, semiconductor engineering, and biomedical applications. Notable contributions include the development of flexible perovskite LEDs and sweat-based clinical biomarkers. He leads the RDRL laboratory, emphasizing interdisciplinary collaboration between molecular sciences and nanosystems. Professional experience includes roles as Senior Scientist at ABB Corporate Research (2017-2021), Postdoctoral Fellow at the University of Illinois (2013-2015), and Team Leader at ETH Zurich (2011-2017). He is fluent in Italian, English, and basic French.

• Power Electronics
• Electric Vehicle Technology
• Semiconductor Devices (GaN/SiC)
• +۳ مورد دیگر

Enrico Vico is a Researcher at the Department of Energy (D.ENERG) of Politecnico di Torino, specializing in power electronics and electric vehicle technologies. His work focuses on semiconductor applications (GaN/SiC), high-power density converters, and thermal management solutions. He has supervised doctoral research on GaN multilevel inverters for motorsport applications and contributed to automotive-grade power electronics systems. Affiliations: Politecnico di Torino (Department of Energy) Key research areas include advanced semiconductor protection strategies, additive manufacturing for thermal solutions, and high-voltage electric vehicle inverters. His recent work addresses challenges in motorsport power systems and cost-effective 3D-printed heatsinks. He actively participates in IEEE conferences such as APEC, presenting breakthroughs in GaN HEMT fault management and WBG converter prototyping. Patents include a 3D-printed liquid-cooled heatsink and an integrated EV battery charger topology. He collaborates with industry on automotive-compliant inverter designs meeting 800V system requirements and EMI standards. Grants/Awards: None explicitly listed Labs/Teams: Involved in power electronics labs focused on EV and motorsport applications

• Machine Learning
• Electronic Design Automation
• Reliability Engineering
• +۷ مورد دیگر

Nicolò Bellarmino is a Researcher at the Department of Control and Computer Science (DAUIN), Politecnico di Torino, where he also serves as an External Lecturer and Teaching Assistant. His work is centered on machine learning applications in electronic design automation, particularly in microcontroller performance screening and reliability assessment of deep learning hardware. His research interests include machine learning for embedded systems, feature selection, neural network testing, and reliability engineering. He employs techniques such as evolutionary algorithms, transfer learning, and fault injection to develop efficient and robust methodologies for semiconductor testing and DNN accelerator validation. The recent publications highlight a strong focus on data-efficient and automated approaches for performance prediction and reliability assessment, leveraging foundation models, unsupervised learning, and hierarchical modeling. These works span journals and top-tier conferences in computer-aided design, electronics, and machine learning. He has no listed scientific awards in the provided text. Bellarmino actively contributes to teaching in the Computer Engineering and Aerospace Engineering programs, collaborating on courses such as Systems Programming, System and Device Programming, and Future of Work. He is a member of the CAD - Electronic CAD & Reliability Group (DAUIN), contributing to cutting-edge research in EDA and hardware reliability. No grants or advising roles are mentioned.

• Infrared detectors
• Light-emitting diodes
• Silicon photonics
• +۵ مورد دیگر

Marco Ernesto Vallone is a Fixed-term Assistant Professor at the Department of Electronics and Telecommunications (DET) at Politecnico di Torino (PoliTO), where he is also a member of the PhotoNext Interdepartmental Center for Applied Photonics. His academic appointments include membership in the College of Electronic, Telecommunications, and Physics Engineering. He holds national scientific qualifications for Associate Professor positions in Electronics (09/E3), Theoretical Physics of Matter (02/B2), and Experimental Physics of Matter (02/B1). Dr. Vallone's research spans multiple areas of optoelectronics and semiconductor physics, with a particular focus on infrared detectors, light-emitting diodes, silicon photonics, and photodetectors. His work combines theoretical modeling with practical applications, specializing in multiphysics CAD of vertical-cavity surface-emitting lasers (VCSELs), efficiency and reliability of visible and UV LEDs, multiscale physics-based modeling of optoelectronic devices, far-infrared image sensor design, and Si and III-V photonic integrated circuits. His research addresses critical challenges in high operating temperature (HOT) infrared detectors, germanium-on-silicon waveguide photodetectors, and plasmonic structures for enhanced optoelectronic performance. His extensive publication record from 2022-2025 demonstrates a consistent research trajectory focused on advancing infrared detection technology, photodetector design, and semiconductor device modeling. His work shows a progression from fundamental quantum mechanical investigations to practical engineering applications, particularly in collaboration with industry partners like Cisco, Huawei, and AIM Infrarot-Module. The research consistently bridges theoretical physics with practical device engineering, with increasing emphasis on plasmonic enhancement techniques and high-temperature operation of infrared detectors. Scientific Qualifications: National Scientific Qualification as Associate Professor in Electronics (09/E3), since November 2020 National Scientific Qualification as Associate Professor in Theoretical Physics of Matter (02/B2), since May 2021 National Scientific Qualification as Associate Professor in Experimental Physics of Matter (02/B1), since May 2021 Dr. Vallone serves as a PhD co-supervisor and Master's thesis co-supervisor, notably guiding Matteo Giovanni Carmelo Alasio's doctoral research on "Ge-on-Si photodetectors for silicon photonics: multiphysics modeling and design." His research funding includes multiple industrial contracts as Principal Investigator with AIM Infrarot-Module, Cisco Systems, and Huawei, focusing on infrared detector design, silicon photonics integration, and laser development. He has also participated in international research collaborations with Boston University, University of Cambridge, University of Padova, and University of Modena and Reggio Emilia, particularly studying GaN/InGaN multi-quantum well LEDs. As a member of the Microwave and Optoelectronics Group (MOG) at DET, Dr. Vallone contributes to the department's research infrastructure while maintaining active industry partnerships that translate academic research into practical applications for telecommunications, defense, and astronomical imaging systems.

Fabrizio Cesare Filippo Di Pasqualeمشاهده پروفایل

استاد

• optical fiber sensors
• silicon photonics
• optical amplifiers
• +۳ مورد دیگر

Fabrizio Cesare Filippo Di Pasquale is a Full Professor of Telecommunications and Director of the Institute of Mechanical Intelligence at Sant'Anna School of Advanced Studies in Pisa, Italy. With a career spanning academia and industry, he holds electronic engineering and information technology doctorates from Italian universities and has held research positions at University College London, Pirelli, and Cisco before joining Sant'Anna. His educational background includes: Electronic Engineering degree, University of Bologna (1989) Ph.D. in Information Technology, University of Parma (1993) Professor Di Pasquale's research focuses on optical fiber sensors, silicon photonics, and optical communication systems, with significant applications in structural health monitoring for aerospace, transportation, and composite materials. His work bridges fundamental photonics with industrial deployment through numerous patents and commercial applications. Recent projects include the SmartRail initiative for railway infrastructure monitoring and embedded sensor systems for spacecraft propellant tanks. Analysis of his 2023-2024 publications reveals a concentrated research trajectory toward miniaturized photonic sensors, radiation-hardened silicon devices, and embedded optical sensing in composite structures. Key trends include silicon photonics for aerospace applications, micro-interferometer-based interrogation systems, and distributed sensing for infrastructure monitoring, demonstrating consistent innovation in translating laboratory research to field-deployable solutions. With 25 patents filed and over 250 scientific publications, Professor Di Pasquale has established significant intellectual property in optical sensing technologies. His co-founding of Infibra Technologies S.r.l. demonstrates successful technology transfer, while his leadership of the Institute of Mechanical Intelligence drives cross-disciplinary research in intelligent mechanical systems and advanced sensing solutions for critical infrastructure. He directs the Institute of Mechanical Intelligence where his team develops next-generation optical sensing platforms, including the SmartRail project for continuous railway monitoring and embedded sensor systems for composite structures in aerospace applications. Current research emphasizes real-time structural health monitoring through embedded fiber optic networks and silicon photonic integrated circuits for harsh environments.

• Neuromorphic Engineering
• Electronic Systems Design
• Power Electronics
• +۳ مورد دیگر

Paolo PAVAN is a Full Professor at the Department of Engineering 'Enzo Ferrari' of the University of Modena and Reggio Emilia (UNIMORE). He leads research in neuromorphic electronics, semiconductor devices, and wearable biomedical sensors. His work spans memristor-based neural networks, power electronics (GaN MOSFETs), and driver safety systems leveraging physiological signals like PPG and skin conductance. He teaches advanced courses on electronic systems design, neuromorphic hardware, and analog electronics. Research interests include neuromorphic computing architectures, reliability of emerging memory technologies (RRAM/FeFET), and GaN-based power devices. He has published extensively on topics like defect dynamics in semiconductors, in-memory computing, and automotive safety systems. His lab (e-lab.unimore.it) focuses on bridging device physics and circuit design for next-generation electronics. Recent studies highlight contributions to spiking neural networks using hybrid CMOS-memristor systems, driver drowsiness detection via TCNs, and TCAD analysis of GaN device instabilities. His work addresses both fundamental physics and practical applications, emphasizing energy efficiency and reliability in emerging technologies.

• Microwave Engineering
• Semiconductor Device Modeling
• Nonlinear Circuit Analysis
• +۳ مورد دیگر

Giorgio Vannini is a Full Professor of Electronics at the Department of Engineering, University of Ferrara, where he has been since 2005. His academic career spans over three decades, with prior roles as a Research Fellow and Associate Professor at the University of Bologna. He has held leadership positions including Head of the Engineering Department (2007-2015) and membership in the Academic Senate (2012-2015). Education: Laurea in Electronic Engineering from the University of Bologna (1987), Ph.D. in Electronic and Computer Science Engineering from the University of Bologna (1992). Research: Focused on nonlinear semiconductor device modeling (e.g., GaN HEMTs, III-V FETs), advanced microwave circuit design, and electromagnetic simulation techniques. Key contributions include the Nonlinear Integral Model (NIM) and dynamic I/V characterization systems. Awards: Best Paper Awards at the European Microwave Conference (1995), GAAS98 (1998), and GAAS2001 (2001). Projects: Led over 20 research contracts with industry leaders like Leonardo, Sumitomo, and Huawei, and participated in EU Framework Program initiatives including TARGET and Eurostars. Spin-off: Co-founded MEC srl, an academic spin-off for microwave engineering solutions.