جستجوی استاد راهنمای دانشگاهی

Luciano Lavagno is a Full Professor at the Department of Electronics and Telecommunications, Polytechnic University of Turin, with over two decades of academic and research contributions. His work bridges hardware acceleration, low-power electronics, and intelligent system design. Research Focus: Hardware-accelerated machine learning, high-level synthesis (HLS) for FPGA/ASIC, heterogeneous CPU/GPU/FPGA platforms Key Projects: SPACE (predictable acceleration), REBECCA (secure AI acceleration), HPC-National Center (quantum computing), and oral history preservation via "Ti racconto una storia" initiative His recent publications analyze CNN inference optimization, subgraph isomorphism, and superword-level parallelism exploitation. Lavagno supervises multiple PhD students working on FPGA acceleration, neural network hardware, and embedded systems. As Principal Investigator for national and EU-funded projects (PRIN, JTI-ECSEL, PNRR), he drives advancements in sustainable computing infrastructure. His patented technologies include MIx&Latch timing methodology, capacitive sensing innovations, and 5G acceleration frameworks.

• Field Programmable Gate Arrays (FPGA)
• High-Level Synthesis
• Indoor Positioning
• +۱۰ مورد دیگر

Tania Cerquitelli is a Full Professor in the Department of Control and Computer Science (DAUIN) at Politecnico di Torino, where she leads research in data science, concept-drift management, and inclusive AI technologies. She is a member of SmartData@PoliTO, the GEDI Observatory for Gender Equality, and serves in leadership roles related to social affairs and community policies at the university level. She also acts as a scientific advisor for the partnership with Accenture. Her research interests span Data Science , Concept-Drift Management , Database Systems , Conversational Data Science , and Industry 4.0 . She applies AI and machine learning to industrial, societal, and ethical challenges, particularly in promoting inclusive communication and gender equality in research. The most recent publications highlight her work in explainable AI, concept drift detection, multimodal diagnostics, and AI for social good. Her research integrates machine learning, natural language processing, and computer vision to address real-world problems in manufacturing, healthcare, agriculture, and education. She is an Associate Editor for several prestigious journals including Expert Systems with Applications , Computer Networks , Future Generation Computer Systems , and Knowledge and Information Systems . She has served on the program committees of major conferences such as ECML PKDD, EDBT/ICDT, and ACM KDD, and has been a reviewer and selection committee member for ETH Zurich and EMPA. She actively supervises PhD students and teaches a wide range of courses including Data Science and Database Technologies, Business Intelligence for Big Data, and Gender and Diversity in Research. She is involved in multiple national and international research projects such as E-MIMIC, WEBFARE, and EnABLES, focusing on inclusive AI, smart data, and industrial applications. Her lab affiliations include the DBDM - Database and Data Mining Group (DAUIN) and the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory , where she contributes to advancing data science methodologies and their societal impact.

• Data Science
• Concept-Drift Management
• Database Systems
• +۱۲ مورد دیگر

Guido Perrone is a Tenured Associate Professor at the Department of Electronics and Telecommunications (DET) , Politecnico di Torino, with a focus on Photonics, Fiber Optic Sensors, and High-Power Lasers. His research bridges industrial and biomedical applications, particularly additive manufacturing and laser therapy, aligning with SDG goals like Good Health, Industry Innovation, and Clean Water. Research Interests : Photonics, Fiber Optic Sensors, High-Power Lasers, Biomedical Applications, Additive Manufacturing, Electromagnetic Fields, Signal Processing, and Machine Learning. Projects : Led competitive grants including DESIGN (2024–2028), Yellow-FLiCkEr (2022–2025), and STELLAR (2021–2022) as Scientific Director/Manager. Teaching : Course instructor for Photonics , Industrial Photonics , and Passive Optical Components at undergraduate and graduate levels. Grants & Patents : Supervised >10 research projects and holds 2 patents (national/international) on optical transducers. Students : Mentored 4 PhD candidates in laser and sensor technologies.

• Photonics
• Fiber Optic Sensors
• High-Power Lasers
• +۱۱ مورد دیگر

Leonardo PUPPULIN is a Researcher at the Department of Molecular Sciences and Nanosystems, Ca' Foscari University of Venice. He specializes in Physical Chemistry, with a focus on nanoscale material characterization, biomaterials, and sustainable chemistry. His work includes advanced microscopy techniques such as high-speed atomic force microscopy (HS-AFM) to study biological systems, molecular dynamics, and material degradation mechanisms. He oversees laboratory safety and teaching activities, including courses in Physical Chemistry, Colloids and Interfaces, and Electron Microscopy techniques at both undergraduate and doctoral levels. Research interests span diverse areas: Dynamic imaging of proteins and channels (e.g., TRPV1, TMEM16F) using HS-AFM Development of protective silica-based coatings for cultural heritage artifacts Upcycling chitin into catalytic materials for green chemistry applications Biomedical materials analysis, particularly polyethylene and ceramic implants Optical properties of nanomaterials like NaBiF4 for photonics applications Teaching responsibilities include laboratory supervision and theoretical modules for Chemistry and Nanomaterials programs. He collaborates on interdisciplinary projects combining physical chemistry with biomedical and environmental applications. His 15 most recent articles (2023–2025) highlight advancements in HS-AFM imaging, nanomaterial synthesis, and biomaterial degradation studies, reflecting a strong emphasis on experimental techniques and interdisciplinary applications.

• Physical Chemistry
• Nanosystems
• Atomic Force Microscopy
• +۴ مورد دیگر

Andrea Calimera is a Full Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin, where he is also a member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory. He is actively involved in teaching and research, contributing to doctoral programs and undergraduate and graduate courses in computer engineering and data science. Full Professor (L.240), Polytechnic University of Turin Department of Control and Computer Science (DAUIN) Member, SmartData@PoliTO - Big Data and Data Science Laboratory Member, College of Computer, Film and Mechatronics Engineering His research interests center on electronic design automation, energy-efficient electronic systems, and low-power design, with strong connections to artificial intelligence, embedded systems, and IoT. His work bridges hardware and software optimization for intelligent edge devices. The recent publications (2023–2025) reflect a focused trend on federated learning, secure and efficient AI deployment on edge devices, and low-power embedded systems. Topics include robust evaluation in federated learning, resource management under label skew, homomorphic encryption for private tensor operations, pipeline optimization for keyword spotting, and side-channel attacks via DVFS for neural network fingerprinting—highlighting expertise in both performance and security of AI systems on constrained hardware. Andrea Calimera supervises PhD and master's students and leads research projects funded by competitive and commercial grants. He has contributed to national and international patents on low-power depth estimation and single-image signal processing. Scientific Director, SENSEI Project (2017–2019): Energy-efficient machine learning on chip for IoT Scientific Director, Commercial Project (2020–2022): Design tools for AI on energy-efficient embedded mobile devices Supervision of PhD student Erich Malan (ongoing, since 2022) on distributed and federated learning over IoT networks Supervision of Bachelor's student Chen Xie (2020–2024) on synthesis of smart sensors He teaches courses such as High-Level Synthesis (PhD), Synthesis and Optimization of Digital Systems, Machine Learning for IoT, and Efficient Computing for Artificial Intelligence across Computer Engineering and Data Science programs. His research group is EDA - Electronic Design Automation (DAUIN), which focuses on hardware-software co-design for intelligent systems.

• Electronic Design Automation
• Energy Efficient Electronic Systems
• Low Power Design
• +۱۲ مورد دیگر

Sabina Luisa Campanelli serves as an Associate Professor in the Department of Mechanics, Mathematics and Management at the Polytechnic University of Bari, Italy, where she conducts cutting-edge research in advanced manufacturing technologies with emphasis on laser-based additive processes. Her research specializes in Additive Manufacturing , particularly Powder Bed Fusion and Directed Energy Deposition techniques, focusing on multi-material fabrication , functionally graded materials , and in-process monitoring . She develops innovative methodologies for layer-level control of material composition and thermal management, addressing critical challenges in geometric accuracy, residual stress, and defect formation in aerospace and biomedical components. Analysis of her recent publications reveals a dominant trend toward real-time process monitoring using thermal and optical systems, with increasing focus on sustainable material utilization through recycled feedstocks. Her work bridges Materials Science , Mechanical Engineering , and Industrial Manufacturing , demonstrating strong industry applicability in high-value sectors requiring precision metal components.

• Additive Manufacturing
• Laser-Based Manufacturing
• Functionally Graded Materials
• +۴ مورد دیگر

Sabrina Pacor is an Associate Professor in Applied Biology (BIO/13) at the University of Trieste , where she teaches Pharmacology in the Pharmacy LM and STB BSc programs. With over 30 years of research experience in experimental oncology and host defense peptides, she has made significant contributions to studying antimicrobial peptides (AMPs) and their interactions with bacterial membranes. Her research focuses on: Direct antimicrobial activity of AMPs against Gram-positive and Gram-negative bacteria Indirect immunomodulatory effects of host defense peptides Development of drug delivery systems using nanomaterials (carbon nanotubes, gold nanoparticles) Mechanistic studies of ruthenium-based antimetastatic drugs She leads extensive cytofluorimetry research using flow cytometry platforms, particularly for evaluating: Cytotoxicity (necrosis/apoptosis, proliferation index) Modulation of host biological responses (chemotaxis, phagocytosis, ROS production) Peptide-bacterial membrane interactions through fluorescent labeling Her recent work demonstrates trends in: Proline-rich antimicrobial peptides against ESKAPE pathogens Hybrid antibiotic design (peptide-aminoglycoside conjugates) Structure-activity relationships in membranolytic peptides Evolutionary insights into defensin and cathelicidin families Prof. Pacor has co-authored over 100 peer-reviewed publications and actively mentors students, having supervised: 70 experimental/thesis reviews for Pharmacy/CTF Master's students 20 Bachelor's degree theses

• Pharmacology
• Chemotherapy
• Cytofluorimetry
• +۳ مورد دیگر

Juan David Guerrero Balaguera is a Research Fellow at Politecnico di Torino's Department of Automatic Control and Computer Science (DAUIN), affiliated with the CAD group. He holds a Ph.D. in Computer and Control Engineering from Politecnico di Torino (2024), advised by Prof. Matteo Sonza Reorda and Prof. Ernesto Sanchez. His research focuses on dependable hardware for safety-critical systems, including GPU reliability, fault tolerance, AI accelerators, and functional in-field testing. Prior to his Ph.D., he earned a Master's (2017) and Bachelor's (2013) in Electronics Engineering from Universidad Pedagógica y Tecnológica de Colombia, where he taught digital design, embedded systems, and FPGA-based image processing from 2014 to 2020. His research interests span advanced FPGA design, computational arithmetic for AI, fault effects analysis in GPUs, and reliability assessment of neural networks. Notable contributions include methods for generating self-test libraries (STLs) for GPUs, evaluating fault impacts on TCUs, and enhancing CNN robustness via dropout layer optimization. Education: Ph.D. in Computer and Control Engineering, Politecnico di Torino (2024) M.S. in Electronics Engineering, Universidad Pedagógica y Tecnológica de Colombia (2017) B.S. in Electronics Engineering, Universidad Pedagógica y Tecnológica de Colombia (2013) He has received the Ph.D. Quality Award (2023 and 2024) from Politecnico di Torino and Best Paper recognitions at DATE 2023 and DDECS 2021. His work bridges theoretical fault models with practical GPU testing methodologies, emphasizing real-world applications in AI and edge computing. Current teaching roles include collaborating on GPU programming (Master's level) and computer sciences courses (Automotive Engineering). Research collaborations involve exploring reliability trade-offs in split-computing DNNs and developing fault-aware design flows for AI accelerators.

• AI Accelerators
• GPU Reliability
• Fault Tolerance
• +۷ مورد دیگر

Stefania Perri is an Associate Professor of Electronics at the Department of Mechanical, Energy and Management Engineering (University of Calabria, Italy). She holds a PhD in Electronics Engineering from the University of Reggio Calabria and has been actively involved in research and teaching since 1996. Research Interests include: Quantum-Dot Cellular Automata (QCA) - Invented an efficient QCA adder design methodology with three theorems. Image Processing - Developed memory architectures for aerospace applications and stereovision systems on FPGA. Low-Power Circuits - Designed novel SRAM cells and validated sub-threshold logic models. High-Speed Arithmetic - Holds US Patent 7,016,932 B2 for carry propagation optimization. Scientific Contributions: Over 120 publications including 58 journal papers, 48 conference proceedings, 3 patents International Collaborations with University of Rochester (USA) and Idaho State University Awards: Best Paper Awards at CENICS 2016 and CENICS 2010 Bronze Leaf Certificate at IEEE PRIME'06 Multiple Invited Paper recognitions

• Electronics Engineering
• VLSI Design
• Digital Signal Processing
• +۵ مورد دیگر

Michele Beccaria is a Fixed-term Assistant Professor and researcher at the Department of Electronics and Telecommunications (DET) , affiliated with the College of Electronic, Telecommunications, and Physics Engineering at Politecnico di Torino . His research focuses on antennas , millimeter waves , and communication systems , with expertise in high-frequency technology and simulation engineering . Research Interests: Beccaria specializes in advanced antenna design, including reflectarrays , smart electromagnetic skins , and flexible 3D-printed structures . His work addresses urban communication challenges, outdoor-to-indoor signal transmission, and next-generation wireless networks. Latest Trends: His recent publications emphasize millimeter-wave applications , phase-only synthesis , and multi-resonant antenna cells , reflecting a focus on innovative solutions for smart cities and 5G infrastructure. Key keywords include Electromagnetic Engineering , Wireless Technology , and IoT Integration . Scientific Awards: ESoA Grant for 'Arrays and Reflect-Arrays' (2016) ESoA Grant for 'Advanced Mathematics for Antenna Analysis' (2016) PhD Quality Award, Politecnico di Torino (2018) 2019 IEEE AP/ED/MTT North Italy Chapter Thesis Awards (2020) TICRA EurAAP Travel Grant (2025) URSI Young Scientist Award (2025) Teaching Roles: He serves as a main teacher for PhD Innovative Space-Fed Antennas and collaborates on courses like Radar and Remote Sensing , Wireless Access Electromagnetics , and Guiding Electromagnetic Systems at both Master's and Bachelor's levels. Editorial Roles: Member of the Scientific Reports and Applied Sciences editorial boards (2025–), and Guest Editor for Applied Sciences (2024–2025).

• Antennas
• Millimeter Waves
• Communication Systems
• +۶ مورد دیگر

Dr. Mihai Teodor Lazarescu is an Associate Professor at the Department of Electronics and Telecommunications (DET), Politecnico di Torino , where he contributes to research and teaching activities. He is also a member of the PolitoBIOMed Lab (Biomedical Engineering Lab) and the Ambient Sensing and Processing research group. Scientific Affiliation: IEEE Member (2019-present) Editorial Roles: Guest Editor for SENSORS, ELECTRONICS, and ACM Transactions on Embedded Computing Systems His research interests focus on hardware acceleration for machine learning algorithms, particularly using FPGAs for data center and embedded applications. He works on high-level synthesis optimization flows, capacitive sensor design for indoor monitoring, and low-power embedded systems . His work intersects Internet of Things , Wireless Sensor Networks , and Machine Learning with applications in human localization, environmental monitoring, and industrial automation. Recent publications demonstrate expertise in neural network optimization , DSP resource sharing , and multi-FPGA allocation . His teaching spans Applied Electronics , Digital Electronic Design , and Embedded Systems Optimization across bachelor's and master's programs in Electronic Engineering and Computer Engineering . Patents: Noise cancellation for single-plate capacitive sensors Capacitive sensor for space change detection Projects: Scientific Manager for Horizon 2020-S2RJU project (2018)

• Artificial intelligence
• Capacitive sensors
• Embedded software
• +۱۰ مورد دیگر

Valentino Peluso is a Fixed-Term Assistant Professor at the Department of Control and Computer Engineering (DAUIN) of Politecnico di Torino. His research focuses on Edge AI , Electronic Design Automation , Federated Learning , and Low-Power Design , with applications in distributed systems and cyber-physical technologies. Associate Editor at IEEE Transactions on Circuits and Systems II (2025-) Organizer of workshops on smart grids and IoT at IEEE conferences Recipient of Politecnico di Torino's RIMINI SCHOOL 2025 badge for research funding participation His recent work explores homomorphic encryption for secure federated learning, DVFS side-channel attacks in edge inference, and energy-efficient pipeline optimization for embedded systems. Publications span IEEE Transactions, ICECS, ICCD, and VLSI-SoC conferences. Scientific Awards & Roles: RIMINI SCHOOL 2025 Certification Learning to Teach (L2T) badge Editorial contributions to IEEE journals Chair and co-chair roles in hardware/software co-design sessions He contributes to teaching in High-Level Synthesis , Machine Learning for IoT , and Efficient AI Computing at both PhD and MSc levels.

• Edge AI
• Electronic Design Automation
• Federated Learning
• +۳ مورد دیگر

Claudio Sansoe' is a Tenured Associate Professor at the Department of Electronics and Telecommunications (DET) , Politecnico di Torino . He teaches courses including Applied Electronics and Digital Electronic Design across Electronic, Computer Science, and Mechatronics Engineering programs. Research focus: Autonomous underwater vehicles, embedded systems, low-power electronics, and highly parallel architectures. Key contributions: Development of nanosatellite technologies, underwater control systems, and reconfigurable FPGA accelerators. His work aligns with ERC sectors like robotics, signal processing, and sustainable infrastructure (SDG 9). He leads student team PoliTOcean and has secured grants for optical network control, electromagnetic interference reduction, and rebreather systems.

• Autonomous Underwater Vehicles
• Digital Signal Processing
• Embedded System Design
• +۵ مورد دیگر

Emanuele Maiorana is an Assistant Professor (tenure track since 2023) at the Department of Engineering, Roma Tre University, Italy. He received his Laurea Degree cum laude in Electronics Engineering from Roma Tre University in 2004 and a Ph.D. with European Doctorate Label in 2009. His academic journey includes research engineering roles before transitioning to faculty. Research Focus: Specializes in digital signal/image processing with applications to: Biometric systems security and template protection Multimedia communications and telecommunication security HDR imaging, video watermarking, and stereo image enhancement Video textures synthesis and analysis Awards & Honors: Premio Galluzzi 2004 IEEE Lockheed Martin Best Paper Award (2007) IEEE Honeywell Student Best Paper Award (2008) Professional Service: General Chair for IEEE WIFS 2024, IEEE IWBF 2021, IAPR WMWB 2021 Associate Editor for IEEE Transactions on Information Forensics and Security Former Chair of EURASIP BForSec Technical Area Committee Teaching: Courses include Signal Processing for Big Data Analytics and Telecommunication Services and Networks Planning and Management at the Laurea Magistrale level. Research Projects: EU MSCA-ITN-2015 AMBER (Biometrics) EU MSCA-RISE-2015 ENCASE (Security/Privacy) FP7 projects SANDRA, JEOPARD, MINERVAA (Avionic Systems)

• Biometric Recognition
• Biometric Template Protection
• Digital Signal Processing
• +۷ مورد دیگر

Daniele Versaci is a Fixed-term Assistant Professor at the Department of Applied Science and Technology (DISAT) at Politecnico di Torino, Italy. His research focuses on advanced battery technologies with particular expertise in lithium-ion and post-lithium systems. He serves as Scientific Responsible for the TALISSMAN project (2025-2029), an EU-funded initiative developing advanced lithium-sulfur batteries for sustainable mobility applications. Dr. Versaci's research interests encompass lithium-ion batteries, post lithium-ion systems including lithium-sulfur and lithium-air batteries, cathode and anode materials development, and sustainable energy storage solutions. His work bridges fundamental electrochemistry with practical battery engineering, focusing on material development, electrode optimization, and manufacturing processes. He leads research in laser texturing of current collectors, silicon-based anodes, and novel cathode materials to improve battery performance, safety, and sustainability. His recent publications demonstrate a strong focus on practical battery engineering challenges, with particular emphasis on manufacturing scalability, electrode interface engineering, and sustainable production methods. The research spans fundamental material characterization to full-cell implementation, with significant contributions to laser processing techniques for current collectors and development of silicon-dominant anodes. Dr. Versaci has received numerous prestigious awards including the Polymers 2023 Best Paper Award, the ELETTRA honour 2023 (Early Career Italian Battery Scientist Award), and multiple National Scientific Qualifications from the Italian Ministry of University and Research. He has also been recognized with the Doctoral Award in Memory of Prof. Claudio Maria Mari and the Politecnico di Torino Quality Award. He actively supervises three PhD students: Leonardo Alberto Luciano (Chemical Engineering, 40th cycle), Lorenzo Tamboia (Materials Science and Technology, 40th cycle), and Elisa Ravesio (Chemical Engineering, 38th cycle). His teaching portfolio includes Battery Systems for Automotive and Stationary Applications at the PhD level, New Battery Systems for Mobility at the Master's level, and Chemistry courses for Aerospace and Computer Engineering undergraduate programs. Dr. Versaci conducts his research within DISAT's Electrochemistry Laboratories, specifically the Testing Laboratory and Materials Synthesis Laboratory, where he investigates advanced battery materials and manufacturing processes with a focus on sustainability and industrial applicability.

• Lithium-ion batteries
• Post lithium-ion batteries
• Lithium sulfur batteries
• +۶ مورد دیگر