جست‌وجوی استاد و پژوهشگر

• Finite Element Analysis
• Light Emitting Diodes
• Machine Learning
• +۵ مورد دیگر

Paolo Bardella is an Associate Professor at the Department of Electronics and Telecommunications (DET), Politecnico di Torino, and Vice Coordinator of the School of Electronic, Telecommunications and Physics Engineering. He leads the Interdepartmental Center Photonext on Applied Photonics and chairs the NUSOD conference committees. Research focus: Semiconductor lasers for optical frequency combs, photonic integrated circuits, machine learning applications in photonics, and thermal/optical control systems Key projects: SCIPIO (Phase-Change Material Photonics), MIRABILIS (Mid-Infrared Imaging), COMBlaser (Quantum Dot Laser Simulation) His recent publications (2023-2025) highlight trends in photonic computing with MZI meshes, thermal crosstalk mitigation, and machine learning-aided optical device modeling. Awards include IEEE Best Paper (2013), NUSOD Top Papers (2016/2021), FFABR Grant (2017), and Optics Letters Editors' Pick (2019). Supervises 7 PhD students in advanced photonic component design and biomedical applications. Honors: IEEE Best Paper Award (2013) NUSOD Top 10 Paper (2016, 2021) FFABR Grant (2017) Optics Letters Editors' Pick (2019) Editorial Roles: Associate Editor - Photonics (2020-) Editor - Open Science Journal (2019-) Guest Editor - Optical and Quantum Electronics (2017-2018)

• Machine Learning
• Deep Learning
• AI Compilers
• +۷ مورد دیگر

Alessio Burrello is a Researcher at the Department of Control and Computer Engineering (DAUIN) , affiliated with Politecnico di Torino . His academic career is oriented toward Machine Learning , Deep Learning , and Embedded Systems . Research Interests : Burrello focuses on AI compilers , neural network optimization for edge devices, distributed systems , and signal processing applications . His work spans interdisciplinary domains like energy management for IoT , neuromorphic computing , and biomedical monitoring . Recent Publications highlight his contributions to TinyML , low-power microcontrollers , and heterogeneous computing . Notable works include optimizing DNN inference on multi-accelerator SoCs and deploying compact transformers for seizure detection. Teaching : Burrello has been a course owner for 'Optimized Execution of Neural Networks at the Edge' in the Computer and Systems Engineering program since 2024/25. He also contributes to courses in Agritech Engineering and Aerospace Engineering . Supervision : He supervises Javier Jesus Poveda Rodrigo , a PhD candidate in Artificial Intelligence , and participates in commercial research projects like Efficient Active Inference Deployment .

• Spintronics
• Nanotechnology
• Magnetism
• +۴ مورد دیگر

Vito Puliafito is a Full Professor at the Politecnico di Bari, affiliated with the Department of Electromagnetic Fields (ING-IND/31). His research focuses on spintronics, nanotechnology, and unconventional computing, with applications in magnetic solitons, skyrmionics, and neuromorphic systems. His work explores magnetic soliton dynamics , Dzyaloshinskii-Moriya interaction , and micromagnetic modeling of ferromagnetic, ferrimagnetic, and antiferromagnetic materials. Key areas include skyrmion stabilization , spin-transfer torque , and nonlinear oscillator networks for computing. Recent publications highlight trends in skyrmion-based devices , Ising machine architectures , and magnetic tunnel junction sensors . His research bridges fundamental physics and translational applications in nanoscale magnetic systems. For contact, email: vito.puliafito@poliba.it

Riccardo Tomaselloمشاهده پروفایل

دانشیار

• Spintronics
• Micromagnetic Modeling
• Magnetic Skyrmions
• +۷ مورد دیگر

Riccardo Tomasello is an Associate Professor at the Department of Mechanical Engineering, Polytechnic University of Bari. His research focuses on Spintronics , particularly on Micromagnetic Modeling of Magnetic Skyrmions and Spin-Transfer-Torque Magnetic Random Access Memory (STT-MRAM) , with applications in low-power devices, neuromorphic computing, and microwave detection. He leads the project ThunderSKY , funded by the Hellenic Foundation for Research and Innovation (HFRI) and the European Investment Bank. Research Highlights : Skyrmion dynamics, antiferromagnetic materials, spin-orbit torque, magnetic tunnel junctions, 3D nanomagnetism. Key Collaborations : HFRI, GSRT, European Investment Bank. His recent work explores Probabilistic Ising Machines , Spintronic Diodes , and Quantum Annealing for unconventional computing. He has published extensively on magnetic solitons, domain walls, and their electrical control, contributing to advancements in Neuromorphic Hardware and Edge Computing . Notable grants include funding from the Hellenic Foundation for Research and Innovation and the European Investment Bank for the ThunderSKY project. His teaching involves Principles of Electrical Engineering within the Bachelor's Degree in Mechanical Engineering .

• Electronics Engineering
• Semiconductor Devices
• Material Science
• +۳ مورد دیگر

Andrea Padovani is an Associate Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Sciences and Methods of Engineering. His research focuses on semiconductor materials, dielectric breakdown mechanisms, ferroelectric devices, and reliability engineering. He teaches courses such as 'ELETTRONICA APPLICATA' and contributes to the development of advanced materials and modeling techniques for electronic devices. Research Interests: Material Science: Dielectric materials, ferroelectric properties, and semiconductor reliability. Nanotechnology: Analysis of defects and degradation in nanoscale devices. Electronics Engineering: Design and optimization of memory devices (e.g., NAND, RRAM) and transistor technologies. Publications Overview: Recent work includes studies on plasma treatment for defect passivation, ferroelectric NAND reliability, and self-healing capacitors. His research integrates multi-scale simulations (e.g., Ginestra platform) to bridge material properties and device performance. Grants and Advising: No specific grants or student advisees listed in the provided materials. Labs/Teams: Collaborates with teams using the Ginestra simulation platform for device modeling and reliability analysis.

Pier Luigi Gentiliمشاهده پروفایل

دانشیار

• Chemical Artificial Intelligence
• Neuromorphic Engineering
• Photochromic Materials
• +۴ مورد دیگر

Prof. Pier Luigi Gentili is an Associate Professor of Physical Chemistry at the University of Perugia's Department of Chemistry, Biology, and Biotechnology. His research focuses on integrating chemistry with artificial intelligence, neuromorphic engineering, and complexity science. Key areas include chemical artificial intelligence (CAI), photochromic materials, oscillatory reactions, and sustainability-driven innovations. He explores how biological mechanisms can inspire novel computing paradigms and advocates for interdisciplinary education to address 21st-century challenges. His work bridges molecular-level studies with macroscopic systems, emphasizing emergent properties in out-of-equilibrium systems. Recent projects involve neuromorphic engineering in 'wetware' (biological-inspired computing), quantum AI development, and microheterogeneity analysis in materials. He also designs courses merging chemistry, complexity science, and global citizenship education to prepare future scientists for sustainability and ethical challenges. Publications highlight contributions to photochromic oscillators, chemical neural networks, and the application of fuzzy logic in molecular systems. While no awards are listed, his research has advanced unconventional computing approaches using minimal resources and earth-abundant materials. Grants and collaborations are implied through his active publication record but not explicitly detailed in the provided text.

• Approximate computing
• Bayesian networks
• Cybersecurity
• +۷ مورد دیگر

Alessandro Savino is an Associate Professor at the Department of Control and Computer Engineering (DAUIN) of Politecnico di TORINO. He serves as an academic advisor for Bachelor’s and Master’s degree programs in Computer Engineering (Ingegneria Informatica) and contributes to PhD programs in Artificial Intelligence and Computer Engineering. Research Interests: Approximate computing, Cybersecurity (including automotive systems), Dependability, Parallel computing, Reliability analysis, and Neuromorphic architectures. Key Projects: Leads RESCHIP4EU (2024-2028), NEUROPULS (2023-2027), and commercial contracts focused on real-time OS validation and avionics design. Publications: Recent work spans hardware security (e.g., VeriSide for leakage assessment), spiking neural networks (SpikeExplorer, SpikingJET), and automotive cybersecurity (CARACAS, CAN-MM). Teaching: Instructs courses on Parallel and Distributed Computing, Hardware & Wireless Security, and System Programming across Politecnico di TORINO and Scuola IMT Alti Studi - LUCCA. Research Group: Leads the SMILIES group, focusing on resilient computer architectures and life sciences.

• 3D bioprinting
• Artificial intelligence
• Bioinformatics
• +۷ مورد دیگر

Stefano Di Carlo is a Full Professor at the Department of Control and Computer Science (DAUIN) at Politecnico di Torino. He is the Coordinator of the Doctoral School in Artificial Intelligence and a member of the PolitoBIOMed Lab and the Doctoral School Council. His research spans Artificial Intelligence , Computer Architecture , Bioinformatics , and Cybersecurity , with a focus on 3D bioprinting , hardware security , and reliability analysis . Research Interests : Approximate computing systems Cybersecurity for connected vehicles Spiking neural networks and neuromorphic hardware Multicellular synthetic biological systems Hardware-based malware detection Biomedical simulation tools Article Trends : His recent publications address approximate computing (7/15), cybersecurity (6/15), and bioinformatics (4/15). Key subtopics include RISC-V security , gradient inversion attacks , photonic computing , and real-time fault injection . Scientific Awards : Best Paper Awards at IEEE AQTR (2010, 2012), IEEE DDECS (2013), and BIOINFORMATICS/BIOSTEC (2014) IEEE Computer Society Golden Core Award (2006), Meritorious Service Award (2010) IEEE Fellow (2011-) and Senior Member Advising & Grants : He supervises 14 PhD students and leads projects like Vitamin-V (RISC-V cloud services), APROPOS (approximate computing), and SERICS (cybersecurity). His lab, SMILIES, focuses on resilient computer architectures and bioinformatics . Labs & Teams : Lab 6 - Research Laboratory (DAUIN) SMILIES - Resilient computer architectures and life sciences PolitoBIOMed Lab - Biomedical engineering