جست‌وجوی استاد و پژوهشگر

Luca Crocettiمشاهده پروفایل

استادیار

• Cybersecurity in Automotive Systems
• Embedded Systems Design
• VLSI Systems for Space Applications
• +۳ مورد دیگر

Luca Crocetti is an Assistant Professor at the Department of Information Engineering (DII) of the University of Pisa. His research focuses on hardware security, embedded systems, and VLSI design for applications in Automotive, Space, IoT, and High-Performance Computing. He specializes in cybersecurity modules for automotive systems, space-grade FPGAs, and digital signal processing in satellite communications. His teaching includes electronics laboratory practices and cybersecurity principles, with a recent course on hardware's role in security for the Ph.D. program in Information Engineering. He has authored over 20 publications and holds 3 patents (1 national, 2 international), with notable work on cryptographic cores, secure boot mechanisms, and automotive cybersecurity. His contributions span efficient hardware implementations of AES, SHA-3, and other cryptographic algorithms, emphasizing compliance with standards like CCSDS for space applications. His research trends highlight a focus on hardware-efficient architectures, modular design for scalability, and robust security protocols for trusted environments. Notable publications address cryptographic co-processors for the European Processor Initiative, PUF-based security for RISC-V, and FPGA-based RNGs. While no formal awards are listed, his active role in cutting-edge cybersecurity projects underscores his contributions to embedded and space system security. His teaching and research emphasize hands-on lab experiences and real-world applications of hardware security principles.

• Computer Science
• Distributed Systems
• Peer-to-Peer Networks
• +۲ مورد دیگر

Vittorio SCARANO is a Full Professor at the University of Salerno, affiliated with the Department of Computer Science. His office is located at Fisciano Campus, Building F, Fourth Floor, Room 001. Reception hours are held on Thursdays (9:00–11:00) and Fridays (11:00–12:00) via Microsoft Teams ( vitsca@unisa.it ). Additional appointments can be scheduled by email. His research focuses on Computer Science , with emphasis on: Distributed Systems and P2P Networks Collaborative Learning Environments Algorithm Design and Optimization Mobile and Adaptive Learning Technologies His publications demonstrate consistent work in networking, distributed computing, and educational tools, with recent expansions into mobile learning infrastructure. No scientific awards, grants, or student advising relationships are documented in the sources. He participates in international academic exchanges through Erasmus+ agreements for study and traineeship, though specific lab/team details are unavailable.

Anton Dignösمشاهده پروفایل

دانشیار

• Temporal Databases
• Time Series Data
• Data Analytics
• +۳ مورد دیگر

Anton Dignös is a tenured Associate Professor at the Free University of Bozen-Bolzano, Faculty of Engineering, where he leads the Database Systems Research Group. He holds a PhD from the University of Zurich (2014) and has been a faculty member since 2014. His research focuses on temporal databases, time series data, and data analytics, with contributions to indexing, query optimization, and benchmarking tools like TSM-Bench and SEER. Education : BSc and MSc (Computer Science) - Free University of Bozen-Bolzano (2008, 2010) PhD (Dr. sc. in Computer Science) - University of Zurich (2014) Research Interests : Dignös specializes in temporal database systems, time series management, and efficient query processing. He develops novel indexing techniques (e.g., RD-INDEX) and tools for benchmarking time series systems (SEER, TSM-Bench). His work addresses challenges like anomaly detection, sparse data summarization, and parallel join algorithms. Awards : Best Paper Award at SSDBM 2023 Best Paper Award at ADBIS 2022 ACM Computing Reviews Best of Computing (2017) Teaching & Advising : Teaches Data Management and Applied Informatics courses at both BSc and MSc levels. Advises ~25 students (PhD/MSc/BSc) on topics like temporal databases and machine learning applications. Active in thesis supervision and course development. Labs/Teams : Leads the Database Systems Research Group, collaborating on projects like the Period Index for temporal data and VISOR for data visualization tools.

Salvatore Pontarelliمشاهده پروفایل

دانشیار

• High-speed hardware architectures
• Hash-based data structures
• Network dataplane programmability
• +۲ مورد دیگر

Salvatore Pontarelli is an Associate Professor at the Department of Computer Science, Sapienza University of Rome, specializing in high-speed hardware architectures for programmable network devices, hash-based data structures, and network dataplane programmability. His work bridges software and hardware with FPGA acceleration and stateful packet processing. Research focuses on Bloom filters, cuckoo tables, and network data plane optimization Collaborates with Cisco and Mellanox Technologies Contributions to Ethernet switching chips His publications include innovations in FPGA NICs (hXDP), eBPF/XDP hardware translation (eHDL), and practical network acceleration solutions. Recent work explores flow ranging and lightweight data plane monitoring. Scientific recognitions include OSDI'20 Jay Lepreau Best Paper Award ASPLOS'23 Distinguished Paper Award Currently teaches advanced networking and works on programmable hardware solutions. Office located at Sapienza University, Viale Regina Elena, 295 (Building E), 1st floor, room 105.

• Hardware Design for Network Devices
• Fault Tolerance
• Error Correction Codes
• +۳ مورد دیگر

Salvatore Pontarelli is a Researcher at CNIT (Italian National Inter-University Consortium for Telecommunications), affiliated with the University of Rome Tor Vergata. He holds a Master's in Electronic Engineering from the University of Bologna (2000) and a PhD in Microelectronics and Telecommunications from the University of Rome Tor Vergata (2003). His work focuses on hardware design for network devices, fault tolerance, error correction codes, and high-speed packet processing. He contributed to EU-funded projects and received a CISCO Research Award (2011) for work on Bloom filters and Ternary CAM. Research interests include hash-based structures (e.g., Bloom filters, hash tables), stateful programmable data planes, and FPGA-based network intrusion detection systems. He led the Defect and Fault Tolerance Group (DFTGroup) under Prof. Adelio Salsano and has extensive experience in collaborative projects with academic and industry partners. Publications highlight innovations in flow monitoring, data plane optimization, and efficient memory management. His work often bridges theoretical algorithms (e.g., cuckoo hashing) with practical hardware implementations, emphasizing real-world applications in networking and telecommunications.