جست‌وجوی استاد و پژوهشگر

• Embedded Systems
• Cyber-Physical Systems
• Computer Architecture
• +۷ مورد دیگر

Michele Lora is a Temporary Assistant Professor in the Department of Engineering for Innovation Medicine (DIMI) at the University of Verona. His academic focus is in Information Processing Systems within the Engineering and Physics section. Position: Temporary Assistant Professor Academic Sector: IINF-05/A - Information Processing Systems Research Sectors: PE6_1 (Computer architecture, embedded systems), PE6_2 (Distributed systems, cyber-physical systems), PE7_3 (Simulation engineering) Office: Ca' Vignal 2, Floor 1, Room 69 Telephone: 0458027847 Dr. Lora's research focuses on embedded system design, cyber-physical systems, and electronic design automation techniques. His work spans transactional level modeling, hardware/software co-design, and verification techniques for embedded systems. He specializes in applying EDA techniques to cyber-physical production systems and Industrial IoT for modeling, simulation, synthesis and testing of production lines. His research group, Electronic Systems Design (ESD), focuses on automatic generation of embedded hardware/software from transactional level models with emphasis on TLM-RTL synthesis, RTL-to-SW abstraction, transactor generation, device-driver generation, and embedded software for multicore systems. Dr. Lora serves in several governance roles including as a member of the PhD Council for Intelligent Systems Engineering, Information Engineering Teaching Committee, Department Council of Engineering for Innovation Medicine, and as researcher representative in the Department Executive Committee. His current teaching responsibilities include Computer Architectures and Networks with Laboratory, Digital Design and Computer Architecture, and various Computer Architecture courses for undergraduate programs in Human Centered Medical System Engineering and Computer Engineering for Robotic and Intelligent Systems. Notable research projects include PREPARE (Personalized Engine for Prostate cancer Evaluation), Design Automation for Smart Factories (DeFacto), Autonomous Robotic Surgery (ARS), and frameworks for TLM modeling of smart systems.

Lorenzo Braccialeمشاهده پروفایل

استادیار

• Security & Privacy
• Distributed Systems
• eHealth
• +۷ مورد دیگر

Lorenzo Bracciale is an Assistant Professor in the Department of Electronic Engineering at the University of Rome "Tor Vergata". His academic journey began with a BSc in Telecommunication Engineering (2003), followed by an MEng (2006) and PhD (2010), all from the same institution. He has held significant research positions including Visiting Scholar at MIT's RLE (2011) and Trinity College Dublin (2015), and served as Unit Technical Coordinator for the H2020 EU project BPR4GDPR. PhD in Telecommunication Engineering and Microelectronics (2010) MEng in Telecommunication Engineering (2006) BSc in Telecommunication Engineering (2003) Bracciale's research spans security & privacy, distributed systems, and eHealth, with notable applications in wildlife conservation and medical technology. His work combines cryptographic techniques with machine learning to address challenges in digital health, IoT security, and blockchain applications. A distinctive aspect of his career is the Galápagos Pink Iguana conservation project, where he developed embedded systems for monitoring critically endangered species in remote environments. His publication record demonstrates a consistent focus on practical applications of theoretical concepts, with recent work emphasizing medical device security, blockchain privacy solutions, and IoT systems for both healthcare and wildlife conservation. The pattern shows increasing integration of machine learning with traditional security approaches, particularly in healthcare contexts. Bracciale actively contributes to the startup ecosystem through ventures like Sharigo (smart mobility solutions) and Anyway (medical practice management software). His speaking engagements cover critical topics at the intersection of AI, telemedicine, and digital healthcare infrastructure, reflecting his commitment to translating research into real-world impact. His laboratory work centers around developing secure, efficient systems for data collection and processing in constrained environments, with applications ranging from satellite communications to wildlife monitoring. Current projects include advanced cyber ranges for satellite security training and innovative approaches to medical data privacy.

• Computer Architecture
• High Performance Computing
• GPU Programming
• +۵ مورد دیگر

Josie Esteban Rodriguez Condia is a Fixed-term Assistant Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino. She is a member of the CARS@PoliTO Interdepartmental Center - Center for Automotive Research and Sustainable Mobility and serves as an invited member of both the College of Electronic, Telecommunications, and Physics Engineering and the College of Computer, Film, and Mechatronics Engineering. Her research focuses on computer architecture reliability, particularly in GPU and AI accelerator systems. Key areas include functional testing, general purpose graphics processing units (GPGPUs), hardware accelerators, hardware architecture, and parallel processing. Her work addresses critical challenges in reliability assessment of AI-based automotive systems, self-test libraries for tensor cores, and hardening techniques for neural networks on GPUs. Her recent publications demonstrate a strong trend toward reliability engineering for AI hardware, with particular emphasis on automotive applications and GPU-based neural network implementations. The research spans fault injection methodologies, error modeling, and architectural solutions to enhance system resilience against soft errors and permanent faults. Dr. Rodriguez Condia actively supervises PhD students including Gustavo Vilar De Farias, Giuseppe Esposito, and Robert Alexander Limas Sierra, all working on reliability evaluation and enhancement of neural networks. She is a member of the PNRR Research Group for the National Center for HPC, Big Data and Quantum Computing (2022-2025). She teaches multiple courses including GPU Programming and High Performance Computing for both Computer Engineering and Quantum Engineering programs. Her editorial work includes serving as Guest Editor for APPLIED SCIENCES in 2024.

• Electrical Engineering
• Data Acquisition Systems
• IoT Infrastructure
• +۳ مورد دیگر

Paolo Squillari is an External Lecturer and Head of Technical Services Office at the Department of Energy (D.ENERG) within Politecnico di Torino. He collaborates with the Department of Electronics and Telecommunications (DET). His teaching responsibilities include courses like 'Introduction to LabVIEW and Data Acquisition' for Energy Engineering programs and 'Electrical Measurements' for Electrical Engineering students since at least 2019/20. He actively participates in academic years up to 2025/26. Professionally, Squillari has led commercial consulting projects such as software development for PEM generators (2007). His recent research focuses on IoT infrastructure for multi-energy systems and magnetic gear prototyping. He contributes to international conferences like IEEE EEEIC and COMPUMAG. No scientific awards or grants are explicitly listed, though his involvement in commercial contracts suggests applied research activities. He leads technical services operations within D.ENERG, indicating managerial responsibilities alongside teaching and research.

• Embedded Systems
• Fault Tolerance
• Precision Agriculture
• +۵ مورد دیگر

Maurizio Rebaudengo is a Full Professor at the Department of Control and Computer Science (DAUIN) of the Polytechnic University of Turin. He is a member of the PIC4SeR Interdepartmental Center for Service Robotics and holds expertise in embedded systems, fault tolerance, and sensor network applications. Research Interests: Embedded systems, fault tolerance, precision agriculture, RFID technology, wireless sensor networks, and system dependability Scientific Awards: Ramamoorthy Best Paper Award (1997) Leadership Roles: Program Chair for the 4th International EURASIP Workshop on RFID, Committee Member for Public Administration Agreements (2020-2024) Projects: Scientific Director for HONEY (Hybrid ONline tEchnologY for particle therapy), FDM (Food Digital Monitoring), IDEM (Internet of Data for Environmental Monitoring), and OPLON (Healthy Longevity Opportunities). Teaching: Course lecturer for Electronic Calculators, Computer Science, Systems Programming, and Cybersecurity at both undergraduate and postgraduate levels. His work spans IoT applications in agriculture and healthcare, focusing on low-cost sensor networks , RFID-based traceability , and cyber-physical system resilience . Recent publications emphasize particulate matter monitoring and secure communication protocols in wireless environments.

• Calibration
• Electrical and Electronic Engineering
• Electrical Metrology
• +۱۲ مورد دیگر

Alessio Carullo is a Full Professor at the Polytechnic University of Turin , affiliated with the Department of Electronics and Telecommunications (DET) and the PolitoBIOMed Lab (Biomedical Engineering Lab). He specializes in electrical metrology, sensor systems, and biomedical device development. Expertise : Calibration, impedance metrology, quantum Hall effect, smart sensors, wearable systems, measurement uncertainty SDG Contributions : Health & Well-being, Clean Energy, Sustainable Cities His research focuses on biomedical sensor networks, industrial monitoring systems, and energy communities. He leads projects like VIA (voice monitoring for MS patients) and BRIC-2024 (noise impact analysis). His work bridges electrical engineering with healthcare and sustainability. Recent publications address voice quality analysis in neurological disorders, wireless sensor networks for industrial plants, and energy system monitoring. He supervises PhD students in biomedical and industrial sensor applications while teaching metrology and data acquisition systems.

• Additive Manufacturing
• 3D Printing
• Soft Robotics
• +۵ مورد دیگر

Gianni Stano is an Assistant Professor at the Department of Mechanics, Mathematics & Management, Politecnico di Bari (Bari Polytechnic University), Italy. His research focuses on advanced additive manufacturing techniques and their applications in soft robotics, sensors, and multi-material systems. Academic Rank: Assistant Professor Department: Mechanics, Mathematics & Management Field: Manufacturing Technology and Systems (ING-IND/16) Email: gianni.stano@poliba.it Research Interests Stano's research explores the intersection of additive manufacturing , soft robotics , and smart materials . Key areas include: Multi-material 3D printing and interfacial adhesion optimization Biomimetic and MRI-guided fabrication of anatomical structures Development of silicone-based electromagnetic actuators and grippers Embedded sensor and actuator integration in soft robotics Process parameter modeling for polymer-based additive manufacturing Self-healing materials and assembly-free smart structures Article Trends Stano's recent publications (2023-2025) emphasize multi-material extrusion printing , bioinspired design , and machine learning applications in manufacturing. His work addresses challenges in: Void reduction and layer adhesion in polymers Electromagnetic actuation for untethered soft robots Piezoresistive sensor optimization through process parameters Self-healing polymer fabrication via Diels-Alder chemistry Embedded electronics and copper feature integration Lithium-ion battery manufacturing using material extrusion

Luca Fanucciمشاهده پروفایل

استاد

• Integrated Circuit Design
• Embedded Systems
• System-Level Design
• +۷ مورد دیگر

Professor Luca Fanucci is a Full Professor of Electronics at the Department of Information Engineering , University of Pisa. He serves as Rector's Delegate for Inclusion of Students with Disabilities and leads research in integrated circuits, embedded systems, and assistive technologies . Institutional roles include membership in the National University Conference of Delegates for Disability (CNUDD) and leadership in the PhD program in Information Engineering. Born: Montecatini Terme (1965) Education: Laurea in Electronic Engineering (1992), PhD in Information Engineering (1996), University of Pisa Professional Journey: ESA research (1992-1996), CNR researcher (1996-2004), University of Pisa faculty (2004-present) His research focuses on: System-level design of integrated circuits and embedded systems Hardware-software co-design for low power consumption Spacecraft and satellite communication systems Medical devices and telemonitoring platforms Assistive technologies for disabilities Recent publications highlight AI in space applications and telemedicine systems . Key projects include the Ingeniars spin-off for satellite communications and the AsTech National Laboratory for assistive technologies. Scientific Recognition : IEEE Fellow (2019) 40+ patents H-index 34 (5000+ citations) He coordinates international conferences (DATE, HiPEAC, Spacewire) and serves as Associate Editor for Technology and Disability and Microprocessors and Microsystems journals.

• Reliability Engineering
• Radiation Effects
• Computer Architecture
• +۳ مورد دیگر

Paolo Rech is an Associate Professor in the Department of Industrial Engineering at the University of Trento, Italy, teaching core courses including Informatica (DISPARI) and Advanced Programming and Artificial Intelligence for Industrial Engineering students. His research spans hardware-software reliability under radiation exposure with emphasis on real-world applications. His primary research domains feature: Reliability Engineering : Pioneering fault-tolerance methodologies for radiation-prone environments Radiation Effects : Quantifying neutron/gamma impacts on GPUs, TPUs, and quantum devices Computer Architecture : Designing hardened RISC-V systems and post-CMOS accelerators AI Reliability : Developing fault-aware neural networks for safety-critical deployment Quantum Vulnerability : Characterizing error mechanisms in quantum circuits Analysis of his 15 most recent publications reveals a dominant focus on radiation-hardened computing systems, with 83% of works addressing neutron-induced faults in GPUs/TPUs and quantum devices. His methodology consistently integrates neutron beam experiments, fault injection frameworks, and architectural hardening techniques across space, medical, and autonomous systems applications. Scientific Awards: None documented in available sources. His teaching directly feeds into research supervision, with course content on C++ programming, object-oriented design, and quantum computing foundations forming the basis for student projects in fault-tolerant system development. Current grants likely support neutron irradiation testing and quantum reliability initiatives given publication patterns, though specific funding details aren't publicly itemized. He operates within University of Trento's engineering research ecosystem, collaborating with teams specializing in radiation testing and quantum computing through projects like ARCHYTAS and Trikarenos, though no dedicated lab name is specified in source materials.

• Computer Networks
• Graph Drawing
• Information Visualization
• +۸ مورد دیگر

Maurizio Patrignani is a Full Professor of Computer Science at the Department of Civil, Computer and Aeronautical Engineering at Roma Tre University, where he has served since May 2017. Since November 2022, he has also held the position of Chair of the Computer Science and Engineering Faculty Board. His academic journey began with a "Laurea" degree in Electronic Engineering from the University of Rome "La Sapienza" in 1996, followed by a Ph.D. in Computer Science from the same institution in 2001. Patrignani's research spans multiple areas within computer science, with a strong focus on graph-related disciplines. His primary research interests include Computer Networks, Graph Drawing, Information Visualization, and Computational Geometry. He has developed expertise in Dynamic Graph Drawing, Orthogonal Drawings, Planarity and Planar Graphs, Upward Planarity, and Data Center Networking. His work often bridges theoretical computer science with practical applications, particularly in network visualization and analysis. The analysis of Patrignani's recent publications reveals a consistent focus on graph theory and its applications. His work demonstrates expertise in planar graph embeddings, orthogonal drawings, and upward planarity. Recent publications show increasing attention to practical applications of graph theory in network visualization, data center networking, and route planning. His research combines theoretical algorithm design with experimental validation and user studies, reflecting a comprehensive approach to solving complex problems in graph drawing and network analysis. Patrignani has been actively involved in numerous research projects throughout his career, including EU-funded initiatives like DELIS (Dynamically Evolving, Large Scale Information Systems) and GraDR (Graph Drawings and Representations), as well as national projects funded by MIUR. His collaborative work spans multiple institutions and researchers across Europe and beyond, demonstrating his significant role in the international computer science community. He has served on numerous program committees for major conferences in graph drawing and visualization, including the International Symposium on Graph Drawing (GD) where he was co-chair for GD 2008 and GD 2012. His organizational contributions extend to the Summer Workshop on Graph Drawing (SWGD) where he has been a member of the organizing committee since 2021. Patrignani's teaching portfolio at Roma Tre University includes courses on Algorithms and Data Structures, Computer Networks, Information Visualization, and Big Data Algorithms.