جست‌وجوی استاد و پژوهشگر

• Density Functional Theory
• Quantum Chemistry
• Solar Cells
• +۴ مورد دیگر

Matteo Cagnoni is a Researcher at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino . His research focuses on Density Functional Theory , Quantum Chemistry , and Thermoelectric Materials for Solar Cells . He is actively involved in the European Union’s MIRACLE project , developing photonic meta-concrete for radiative cooling solutions. Research Interests: Development of cement-based radiative coolers for solar cell thermal management Computational discovery of intermediate-band solar cell materials Electronic properties of semiconductors and insulators Teaching: Electronic transport in crystalline and organic semiconductors Advanced experimental physics Scientific Contributions: Matteo has published extensively on radiative cooling, perovskite/silicon tandem solar cells, and thermoelectric materials. His work spans journals like Nature Communications , Advanced Functional Materials , and Progress in Photovoltaics , with a focus on simulation engineering , photonic devices , and energy-efficient materials . Labs & Collaborations: He works within the Microwave and Optoelectronics Group (MOG) at DET, collaborating with international institutions on EU-funded projects.

Gian Antonio Sustoمشاهده پروفایل

دانشیار

• Machine Learning
• Deep Learning
• Predictive Maintenance
• +۶ مورد دیگر

Gian Antonio Susto is an Associate Professor at the Department of Information Engineering , University of Padova . With a Ph.D. in Information Technology and post-doctoral experience at National University of Ireland, Maynooth, he leads research in Machine Learning , Semiconductor Manufacturing , and Industrial IoT . His work bridges Anomaly Detection , Continual Learning , and Algorithmic Fairness with applications in Hydroelectric Power Plants , Particle Accelerators , and Smart Mobility . B.Sc. and M.Sc. in Controls Engineering, University of Padova (cum laude) Ph.D. in Information Technology, University of Padova (2013) Post-Doc at National University of Ireland, Maynooth (2012-2013) Assistant Professor at University of Padova (2013-2021) His research focuses on Explainable AI , Virtual Metrology , and Deep Learning for manufacturing and infrastructure monitoring. Recent projects include the AIMS5.0 (AI for Manufacturing Sustainability) and MICS (Circular Economy in Italy) initiatives. His publications span Engineering Applications of Artificial Intelligence , IEEE Transactions , and Information Processing & Management , with 15+ recent papers on topics like Fault Diagnosis , Continual Learning , and Fair Ranking . Key scientific awards include: IEEE CCTA Best Student Paper Award (2021) IP&M 2020 Ph.D Paper Award Best Industry Paper Award, European Workshop on Advanced Control and Diagnosis (ACD 2019) He has supervised Ph.D. students on projects involving Particle Accelerators , Plant Behavior Modeling , and Explainable AI , with alumni now at institutions like Max Planck Institute , IBM , and Scripps Research . Current teaching includes Reinforcement Learning and Explainable Machine Learning at graduate and Ph.D. levels.

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.

• Photonics
• Optical Engineering
• Nanotechnology
• +۳ مورد دیگر

Armando Ricciardi is an Associate Professor at the Department of Engineering (DING) , Università degli Studi del Sannio , focusing on Photonics , Optical Engineering , and Nanotechnology . His work bridges Photonic Materials and Lab-on-Fiber Technology , with a strong emphasis on Biosensing and Sensor Technology . University: Università degli Studi del Sannio Department: Department of Engineering (DING) Academic Rank: Associate Professor Research Interests include: Photonics and Plasmonics for advanced sensor design Microgel-based optical systems and tunable filters Lab-on-Fiber platforms for biomedical and environmental monitoring Hybrid Metallo-Dielectric Quasicrystals for resonance engineering Near-Infrared (NIR) optical devices and sub-wavelength structures Recent Publications highlight his contributions to Microgel Photonics , Thermo-plasmonic Probes , and Cavity-Enhanced Biosensors , with a focus on tunable photonic systems and ultrasensitive detection. His collaborations span institutions in Italy , UK , and International Networks . Lab-on-Fiber Technology is a recurring theme, addressing applications in Ultra-high Dose Monitoring , Ultrasound Detection , and Thin Film Solar Cells . While no formal scientific awards are listed, his prolific publication record (112+ items) underscores sustained impact in Optical Materials and Nanophotonic Devices .

• CMOS integrated circuits
• Computer architecture
• Electrical and electronic engineering
• +۱۲ مورد دیگر

Maurizio Zamboni is a Full Professor at the Department of Electronics and Telecommunications (DET) at the Polytechnic University of Turin, where he also serves as Student Ombudsman. His academic career spans over three decades with continuous teaching and research contributions in electronics and computing fields. Professor Zamboni's research interests focus on cutting-edge areas including CMOS integrated circuits, computer architecture, quantum computing, semiconductor devices, and VLSI design. His work particularly emphasizes emerging nanotechnologies for digital microelectronic architectures and the design of high-performance or low-consumption processing systems. He has developed expertise in circuit architectures for probabilistic computing, logic-in-memory computing, magnetic devices, and quantum architectures. His recent publications (2021-2025) reveal a strong trend toward quantum computing applications, in-memory processing architectures, and novel approaches to overcoming the memory wall problem. These works span both theoretical algorithm development and practical hardware implementations, with significant focus on quantum annealing, FPGA-based quantum emulation, and memory-mapped processing architectures. Professor Zamboni has been actively supervising PhD students working on quantum computing algorithms, hardware AI accelerators for automotive applications, and quantum-related optimization approaches. He leads research within the VLSILAB Group at DET, focusing on the intersection of nanoelectronics, quantum computing, and advanced computer architectures. His work bridges theoretical computer science with practical electronic design, creating novel solutions for next-generation computing challenges.

• Integrated optics
• Nanocrystals
• Nanomaterials
• +۱۱ مورد دیگر

Lorenzo Pavesi is a Full Professor of Experimental Physics at the Department of Physics, University of Trento (Italy), where he leads the Nanoscience Laboratory with 25 members. His academic career spans over 30 years, including roles as Assistant Professor (1990), Associate Professor (1999), and Full Professor (2002). He founded semiconductor optoelectronics research at the university and established photonics laboratories focused on growth and advanced treatment of materials. Research Focus: Silicon photonics, quantum optics, nonlinear optics, optical sensors, and neuromorphic computing. Leadership: IEEE Italian Chapter on Nanotechnology founder, editorial board member for Frontiers in Physics , ETRI Journal , and Sensors . His work bridges photonics and electronics, with recent advancements in integrated quantum photonics and neuromorphic systems. He has managed numerous national and international projects, holds 9 patents, authored over 500 papers, and edited 15+ books. Awards include the Cavaliere title (2001), IEEE Distinguished Speaker (2010-2011), and fellowships from IEEE, SPIE, and SIF.

Marco Farinaمشاهده پروفایل

استاد

• Electromagnetic Fields
• Scanning Probe Microscopy
• Nanotechnology
• +۴ مورد دیگر

Marco Farina is a Full Professor in Electromagnetics at the Department of Information Engineering, College of Engineering, Polytechnic University of Marche, Italy. His research spans electromagnetic modeling, scanning microwave microscopy, and nanotechnology, with applications in 2D materials, biosensors, and advanced measurement systems. He is a Senior Member of IEEE and actively contributes to Technical Committees on RF Nanotechnology. Laurea and Ph.D. in Electronic Engineering from University of Ancona Research interests focus on quantitative scanning microwave microscopy, electromagnetic analysis of active/passive components, and nanoscale characterization techniques. His work bridges theoretical modeling with practical implementation, including the development of the EM3DS software suite and novel inverted SMM systems. Recent publications highlight interdisciplinary applications in biomedical analysis and semiconductor physics. Scientific recognition includes the 3M-Nano Best Conference Paper Award and grants from US Army Research Laboratory and US Air Force Office of Scientific Research. He holds an ESA-funded patent for VNA calibration and has co-authored a book on planar structure analysis. Collaborative projects emphasize RF device optimization and biological imaging.

• 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.

• Complex Systems Dynamics
• Information Theory
• Neuroscience
• +۵ مورد دیگر

Leonardo Ricci is an Associate Professor at the Department of Physics, University of Trento , with a 28-year teaching career spanning 56 courses (31 in English) and extensive roles in the Interdepartmental Center for Mind/Brain Sciences - CIMEC (30% affiliation). His research bridges nonlinear dynamics , information theory , and neuroscience , focusing on chaos detection in time series and entropy analysis. Academic Career : From 1994 post-doc at Max-Planck-Institut to 2022 promotion to Associate Professor Teaching : Courses in Experimental Physics, Advanced Electronics, and Statistical Methods across Physics and Computer Science programs Ricci leads the NSE Lab (Nonlinear Systems and Electronics) , developing hardware/software systems for experimental research. His 2022 Entropy cover story on permutation entropy highlights his impact in information theory. Scientific Contributions : 20 patents (visibility measurement devices), collaborations with international researchers on complex systems Editorial Roles : Associate Editor for Chaos, Solitons & Fractals and Frontiers in Network Physiology

• 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.

Massimo Trovatoمشاهده پروفایل

استاد

• Mathematical Physics
• Statistical Mechanics
• Quantum Kinetic Theory
• +۶ مورد دیگر

Massimo Trovato is a Full Professor of Mathematical Physics at the University of Catania, where he has been teaching since 2004 and has held the rank of full professor since 2010. He serves as Director of the INDAM Unit of the Department of Mathematics and Informatics (DMI) since 2014. Professor Trovato teaches courses in both the Mathematics and Physics degree programs at the University of Catania. Professor Trovato's research spans multiple areas within mathematical physics, with a particular focus on theoretical frameworks for understanding physical systems. His work integrates advanced mathematical techniques with physical principles to develop models that explain complex phenomena in semiconductor physics, quantum systems, and fluid dynamics. His research interests include: Mathematical Physics Statistical Mechanics Quantum Kinetic Theory Semiclassical Kinetic Theory Extended Thermodynamics Maximum Entropy Principle Quantum Maximum Entropy Principle Semiconductor Physics Fluid Dynamics Professor Trovato's publication record demonstrates a consistent focus on entropy principles and their applications across various physical systems. His work shows an evolution from classical thermodynamics to quantum formulations, with particular emphasis on semiconductor applications and 2D materials like graphene. The research trajectory reveals increasing sophistication in handling nonlocal quantum effects and fractional statistics, reflecting the growing complexity of modern physical systems being studied. Professor Trovato has made significant contributions to the theoretical understanding of transport phenomena in semiconductors, particularly through the application of maximum entropy principles to both classical and quantum systems. His research has important implications for the development of next-generation semiconductor devices. His teaching responsibilities include Analytical Mechanics for Physics students and Mathematical Physics II for Mathematics students, demonstrating his commitment to educating the next generation of physicists and mathematicians.

Soufiane Krikمشاهده پروفایل

پژوهشگر

• Gas Sensors
• Flexible Electronics
• Density Functional Theory (DFT)
• +۳ مورد دیگر

Dr. Soufiane Krik is a postdoctoral researcher at the Free University of Bolzano , affiliated with the Faculty of Engineering . His work focuses on sensing technologies , particularly developing flexible and sustainable electronic components via advanced printing methods. His research bridges materials science , nanotechnology , and green electronics . Education: Ph.D. in Physics, University of Ferrara (2021) M.Sc. in Physics and New Technologies, University of Casablanca (Physics Department) Dr. Krik's research spans chemiresistive gas sensors , Density Functional Theory (DFT) simulations , and biodegradable substrates for flexible electronics. Recent work explores Agave silk fibers , cellulose-based thermal sensors , and transient zinc sensors for biomedical applications. His publications (2018–2025) highlight expertise in metal oxide sensors , quantum dot functionalization , and environmentally friendly materials . He investigates oxygen vacancy dynamics , conjugated polymers , and biomaterial integration for next-generation sensors.

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.

Massimo Orazio Spataمشاهده پروفایل

پژوهشگر ارشد

• Deep Learning
• Biomedical Engineering
• Computer Science
• +۳ مورد دیگر

Massimo Orazio Spata is a Research Fellow in Computer Science at the University of Catania's Department of Mathematics and Computer Sciences, specializing in deep learning applications for biomedical, audio, and biometric systems. He has held roles at STMicroelectronics since 1999, focusing on system integration, image processing, and biomedical device R&D. He teaches courses such as Mobile Programming and Computer Architecture at secondary schools and has advised numerous students on grid computing and middleware projects. Education: PhD in Computer Science (University of Catania, 2008), MSc in Computer Science (University of Catania, 2013), and a teaching certification in Computer Science (University of Catania, 1998). Research interests include deep learning algorithms, biomedical device development, grid scheduling, and cybersecurity. He has authored patents on lab-on-chip systems, bio-computer analysis, and scheduling methods, and his work has been recognized with STMicroelectronics Innovation Awards (2016–2014) and a Cisco CCNA certification. Key collaborations include projects with Google (Mediapipe Objectron for robotics), Huawei (video deblurring), and involvement in the PNRR Horizon HiCONNECTS project (2024–present). He serves on conference committees (e.g., ICAETA 2023) and has developed e-learning systems and CAD tools for STMicroelectronics.