جست‌وجوی استاد و پژوهشگر

• Cloud Computing
• Edge Computing
• Network Functions Virtualization
• +۱۲ مورد دیگر

Fulvio Giovanni Ottavio Risso is a Full Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, where he is a member of the NETGROUP Computer Networks Research Group and leads research in cloud, edge, and software-defined networking. He is the Scientific Advisor of the European EIT Digital Partnership and serves as a representative for Politecnico di Torino in EIT Digital. He teaches core courses in Computer Engineering, including Cloud Computing Technologies, Enterprise Network Technologies, and Software Networking, and supervises several PhD students in advanced distributed systems. His research focuses on cloud computing, edge computing, network functions virtualization (NFV), software-defined networking (SDN), and high-speed packet processing. He has pioneered work in eBPF-based network functions through the Polycube framework and in computing continuum orchestration via the Liqo project. His interests extend to Kubernetes networking, real-time data plane optimization, and privacy-preserving infrastructure. He has led numerous EU, national, and industry-funded projects, including FLUIDOS (PNRR), NEWTON, RESTART, TOSHI, ASTRID, and NFV@EDGE. His recent work emphasizes liquid computing, borderless data spaces, and secure, scalable network services for 5G/6G. The recent publications reflect a strong trend in edge-to-cloud orchestration, secure and efficient data plane processing, and real-time performance optimization. Key themes include the use of reinforcement learning for scheduling in the computing continuum, Kubernetes-based edge orchestration, eBPF for in-kernel networking, and energy-aware task distribution. Projects like Liqo and Polycube are central to his vision of a programmable, fluid infrastructure. The integration of machine learning, real-time monitoring, and open-source frameworks underscores a commitment to practical, scalable solutions in modern distributed systems. Scientific Awards and Recognitions: No explicit awards listed in the provided text. Advising and Grants: Fulvio Risso supervises multiple PhD students including Attilio Oliva, Daniele Cacciabue, Davide Miola, Jacopo Marino, Stefano Galantino, Carlos Mateo Risma Carletti, and Federico Parola, whose research spans cloud-edge continuum, vehicular micro-clouds, and Kubernetes networking. He has led over 30 competitive and commercial research projects, including EU-funded initiatives (H2020, EIT), national PRIN projects, PNRR missions, and industry contracts with Rakuten Mobile. These grants focus on network programmability, edge computing, 5G/6G observability, anomaly detection, and secure orchestration, reflecting strong industry-academia collaboration. Labs and Research Groups: He is a key member of the NETGROUP - Computer Networks Group (DAUIN) and leads research activities in LAB 9 - Research Laboratory (DAUIN). He is also associated with the Interdepartmental Center PIC4SeR - PoliTO Interdepartmental Center for Service Robotics. His work is deeply integrated with open-source development, particularly through Liqo and Polycube, which are actively used in both research and industrial deployments.

Riccardo Sistoمشاهده پروفایل

استاد

• Formal Methods
• Cybersecurity
• Network Security
• +۱۳ مورد دیگر

Riccardo Sisto is a Full Professor in the Department of Control and Computer Science (DAUIN) at Politecnico di Torino, where he also leads the NetGroup research group and is a member of the SmartData@PoliTO and Cybersecurity National Laboratory. He has held academic positions continuously since 1991, progressing from Assistant to Full Professor by 2004. Education: PhD in Computer and Systems Engineering, Politecnico di Torino (1992) Graduate in Electronic Engineering, Politecnico di Torino (1987) Riccardo Sisto’s research focuses on formal methods applied to cybersecurity, particularly in formal verification of cryptographic protocols, security automation in cloud and virtualized networks, and secure code generation. His work bridges theoretical formal methods with practical network security applications in SDN/NFV and Kubernetes environments. The recent publications highlight a strong trend toward security automation , formal verification of network and cryptographic protocols , and policy management in virtualized infrastructures . His team develops frameworks like VEREFOO and VERIGRAPH to automate firewall and security function configuration, particularly in cloud-native and multi-cluster environments. Scientific Awards and Honors: ICICS Best Demo Award (2022) IEEE HPSR Best Paper Award Finalist (2014) High Honor Paper Award at IEEE AINA (2004) Fellow of the ACM (2010) Senior Member of the ACM Riccardo Sisto has supervised numerous PhD students and leads multiple competitive research projects funded by the EU (e.g., MIRANDA, VeTeSS) and industry. He serves on editorial boards such as ELECTRONICS and has held leadership roles in international conferences. His research includes both fundamental contributions in formal methods and applied work in industrial collaborations through commercial research projects. He is actively involved in advising PhD students and post-doctoral researchers such as Daniele Bringhenti, Simone Bussa, Francesco Pizzato, and Fulvio Valenza. His lab, NetGroup, focuses on building dependable and secure distributed systems using model-driven and formally verified approaches.

Andrea Del Lungoمشاهده پروفایل

استاد

• 19th-Century French Literature
• Digital Humanities
• Literary Theory
• +۳ مورد دیگر

Andrea Del Lungo is a Full Professor at Sapienza University of Rome's Department of European, American and Intercultural Studies, specializing in 19th-century French literature and digital humanities. He teaches courses including French Literature III , French Literature - Insights , and French Literature - Advanced Course , covering historical sciences and modern philology. Research Focus : Interdisciplinary approaches to literature and cinema, Balzac studies, digital editions, and textual scholarship Projects : Leads the eBalzac initiative for hypertextual editions of Balzac's sources His work bridges traditional literary analysis with digital methodologies, exploring the intersections between Balzac's sociological visions and contemporary digital textual practices. Recent publications demonstrate expertise in genetic criticism, intertextuality, and digital annotation systems. Scientific Contributions Key entries in Dictionnaire Balzac (2021) on topics including Maximes et pensées , Nouveau Roman , and Sterne Editorial roles in Genesis and Acta Fabula Recipient of academic recognition for digital textual methodologies Contact via email andrea.dellungo@uniroma1.it or virtual appointments through Zoom.

Riccardo Lazzerettiمشاهده پروفایل

دانشیار

• Privacy-Preserving Technologies
• Secure Multi-Party Computation
• Biometric Security
• +۵ مورد دیگر

Riccardo Lazzeretti serves as Associate Professor at Sapienza University of Rome since September 2022, following progression from Assistant Professor roles (RTD-A/B) at the same institution from 2017-2022. His academic trajectory includes post-doctoral research at the University of Siena's VIPP group, a research grant at the University of Padua, and industry experience at Italian startup Cynny s.p.a. His educational foundation comprises: MSc in Computer Science Engineering, University of Siena (2007) PhD in Information Engineering, University of Siena (2012) Lazzeretti's research centers on privacy-preserving technologies with emphasis on Secure Multi-Party Computation for encrypted signal processing. His work spans biometric security (including multi-biometric authentication), IoT security protocols, blockchain applications in healthcare, and social network misinformation detection. Recent publications demonstrate deep integration of cryptographic techniques with machine learning for resource-constrained devices and critical infrastructure protection. Analysis of his 15 most recent publications reveals dominant trends in IoT/drone security (32% of works), browser/API vulnerabilities (13%), and privacy-preserving architectures (27%). His research consistently bridges theoretical cryptography with practical system implementations, particularly for emerging technologies like NDN and programmable data planes. His scholarly recognition includes: SIGMM Test of Time Paper Honourable Mention (2021) for Multimedia Security contributions IET Biometrics Premium Best Paper Award (2021) Lazzeretti has supervised graduate students at the University of Siena and secured research funding through collaborations with NATO's CMRE, Digital Catapult (UK), and IMT Lucca. Current projects include privacy-preserving consensus algorithms for IoT and blockchain-based health applications. He maintains active partnerships with European research entities including Centre for Maritime Research and Experimentation and Digital Catapult. His laboratory affiliations encompass the VIPP research group at University of Siena and ongoing collaborations with Sapienza's cybersecurity initiatives, focusing on cross-disciplinary teams integrating signal processing, cryptography, and machine learning expertise.

Leonardo Querzoniمشاهده پروفایل

استاد

• Cybersecurity
• Stream Processing
• Dependable Distributed Systems
• +۶ مورد دیگر

Leonardo Querzoni is a Professor at the Department of Computer, Automatic and Management Engineering Antonio Ruberti within Sapienza University of Rome . He currently serves as Deputy Rector for Digital Technologies and Cybersecurity (2024-2026) and President of the CYBER 4.0 Competence Center since 2022. His academic career spans over two decades with 120+ publications. PhD in Computer Engineering (2007) with thesis "Techniques for Efficient Event Routing" Coordinates Italy's first joint PhD program in Cybersecurity (Sapienza-Luiss) Co-author of Italy's National Cybersecurity Framework Research spans Cybersecurity , Stream Processing , Dependable Distributed Systems , and Big Data Scalability . Particular focus areas include: Malware analysis and incident forensics Secure distributed systems Binary code analysis using neural networks Security for cyber-physical systems IoT attack triage Stream processing optimization Key awards: 2023 DEBS 10 Years Time Award 2021 ASPLOS Distinguished Paper 2019 DIMVA Best Paper Runner-Up 2017 DEBS 10 Years Time Award Active in European projects EU-GUARDIAN, ATENA, and national initiatives like PRIN TENACE. Industry collaborations include: Presidenza del Consiglio dei Ministri Leonardo-Finmeccanica CISCO Research Banca MPS

Federico Bernardiniمشاهده پروفایل

پژوهشگر

• Archaeometry
• Digital Archaeology
• Landscape Archaeology
• +۵ مورد دیگر

Federico Bernardini is a Researcher in Archaeological Research Methodologies at Ca' Foscari University of Venice's Department of Humanities. His research focuses on archaeometry, digital archaeology, and landscape studies in northeastern Italy and the Adriatic region. He employs interdisciplinary approaches including geochemical analysis, LiDAR, microCT, and remote sensing to investigate prehistoric to Roman-era material culture, trade networks, and settlement patterns. Bernardini teaches courses in the Master's program in Digital and Public Humanities, including Digital Archaeology , Digital Archaeology and Heritage, Ethics and Politics , and Virtual Archaeology and Web Technologies . His publications emphasize technological innovation in archaeology, with recent work exploring pottery provenance, lithic analysis, and landscape reconstruction through advanced imaging techniques. His scholarly output demonstrates consistent collaboration with international teams and application of cutting-edge methodologies. Research trends include: 1) Integration of scientific analyses (geochemistry, tomography) in artifact studies; 2) Digital reconstruction of archaeological landscapes; 3) Trans-Adriatic cultural connections from Neolithic to Roman periods; and 4) Development of non-destructive analytical protocols for cultural heritage materials.

Francesca Odoneمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Biomedical Image Processing
• +۳ مورد دیگر

Francesca Odone serves as a Full Professor in the Department of Computer Science, Bioengineering, Robotics, and Systems Engineering (DIBRIS) at the University of Genoa, Italy. She holds a position on the Department Board and teaches core courses including Computational Vision , Algorithms and Data Structures , and Fundamentals of Signal and Image Processing across undergraduate and graduate programs in Computer Science and Biomedical Engineering. Her research centers on Computer Vision and Machine Learning with critical applications in Biomedical Engineering . Key focus areas include markerless motion analysis for neurological disorders (particularly multiple sclerosis), video-based assessment of motor functions in spinal cord injury and preterm infants, and deep learning for medical image interpretation . She integrates robotics and signal processing to develop non-invasive clinical diagnostic tools, emphasizing practical healthcare solutions through interdisciplinary collaboration. Analysis of her 15 most recent publications (2024-2025) reveals three dominant trends: (1) Proliferation of markerless video-based clinical assessment tools for gait/motion analysis, (2) Advanced deep learning architectures (diffusion models, disentangled representations) applied to medical imaging challenges, and (3) Cross-cutting work on AI fairness/debiasing techniques. Her research consistently bridges computer vision with neurology, rehabilitation medicine, and neonatology. Professor Odone actively contributes to DIBRIS's research ecosystem through ongoing projects in biomedical computer vision, with strong connections to clinical partners. Her work demonstrates sustained focus on translating computer vision innovations into practical healthcare applications, particularly for neurological and developmental conditions.

• Cognitive Neuroscience
• Psychophysiology
• Cerebral Electrophysiology
• +۳ مورد دیگر

Francesco Russo is a Full Professor in the Department of Human Motor Sciences and Health at the University of Rome 'Foro Italico'. His research focuses on cognitive neuroscience, psychophysiology, and cerebral electrophysiology, particularly exploring neural mechanisms underlying cognitive processes and brain plasticity induced by motor activity and sport. He leads the Laboratory of Cognitive and Action Neuroscience and contributes to the University Quality Committee. His research interests include the neural basis of action anticipation, sensory-motor integration, and the effects of cognitive-motor training on brain function. Notable projects include studies on anxiety reduction through dual-task exercises and the electrophysiological correlates of decision-making in athletes. Key Research Themes: Anticipatory brain activity, motor-cognitive interactions, neuroplasticity in sport Lab Affiliation: Laboratory of Cognitive and Action Neuroscience Recent Focus: ERP analysis of sensory-motor tasks, aging-related cognitive interventions His work spans experimental psychology, clinical neuroscience, and sports science, with publications analyzing brain dynamics in athletes, aging populations, and neurological patients. Current trends emphasize translational research bridging neural mechanisms and practical applications in rehabilitation and sports performance.

• Edge Computing
• Fog Computing
• Distributed Algorithms
• +۴ مورد دیگر

Roberto Beraldi is an Associate Professor at the Department of Computer, Control and Management Engineering (DIAG) at Sapienza University of Rome since 2002. He leads the Edge Computing Lab, which focuses on distributed algorithms, resource sharing, and scheduling policies for edge and fog environments. His research interests include edge computing, fog computing, and past work on mobile ad hoc networks (MANETs) and peer-to-peer systems. He co-founded Ubiquitous Srl, a startup spun off from Sapienza University. Research & Grants: Current PI of the Italian PRIN 2022 grant 'EV2 Edge Vision against Varroa' and former PI of the FogAware project. Active in EU-funded research initiatives such as BLEND and ReSIST. His lab uses Raspberry Pi clusters and Oculus Quest devices for experiments in edge-assisted VR and distributed computing. Teaching & Advising: Supervises MSc and PhD theses on edge computing applications, including AR/VR integration and real-time task scheduling. Recent advisees include Lipari, Iannola, Bazzana, and Di Stefano. Service: Serves as TPC member for IEEE MSWIM 2025 and ACM IEEE MASS 2025. Active in promoting edge computing through conferences and startup collaborations. Lab Highlights: The Edge Computing Lab develops edge-native solutions for smart cities, using Docker/Kubernetes and reinforcement learning for dynamic scheduling. Current projects explore energy-efficient VR applications and collision prevention systems in glider flight via extended reality.

• Cloud Computing
• Fog Computing
• SDN Microservices
• +۷ مورد دیگر

Giuseppe Di Modica is an Associate Professor at the Department of Computer Science - Science and Engineering, University of Bologna. His research focuses on cloud computing, edge/fog systems, IoT, and digital twins for industrial applications. He has contributed to frameworks like IoTwins and H2F, addressing challenges in distributed computing, microservice orchestration, and latency optimization in SDN architectures. His work spans containerized application management, geo-distributed big data processing, and security in serverless environments. Key research themes include: Cloud-edge continuum orchestration IoT service placement in fog environments SDN microservice architecture design Lightweight virtualization for Industry 4.0 Validation of performance models for microservices His publications emphasize practical implementations, such as the Torch orchestrator for multi-cloud deployments, and frameworks for fault-aware cloud provisioning. Ongoing work explores digital twin platforms for manufacturing and smart facility management, leveraging edge-cloud synergy and real-time data analytics. He holds a permanent academic position with no part-time designation noted. Contact: giuseppe.dimodica@unibo.it, +39 051 20 9 3866.

• East Asian Art History
• Chinese Art
• Korean Art
• +۹ مورد دیگر

Marco GUGLIELMINOTTI TRIVEL is a contract lecturer at Ca' Foscari University of Venice, affiliated with the Department of Asian and North African Studies. He is also serving as an Adjunct Professor at the University of Turin, teaching East Asian Art History. His career spans both academic and museum domains, with extensive experience in curatorial work, research, and teaching. Current Position: Contract Lecturer, Ca' Foscari University of Venice Adjunct Professor: University of Turin, Department of Foreign Languages and Literatures and Modern Cultures Former Director and Conservator: MAO Museum of Oriental Art, Turin Nationally Qualified for Associate Professorship (Seconda Fascia, Sector 10/N3) His research focuses on East Asian art history, particularly Chinese, Korean, and Japanese visual cultures from antiquity to the early modern period. He specializes in Buddhist art, funerary archaeology, ceramics, and museology. His work explores the interplay between material culture, religious symbolism, and cross-cultural exchange, especially along the Silk Road. The recent publications and exhibition contributions reflect a strong trend in museum studies, digital heritage, and the reinterpretation of classical art in contemporary contexts. Themes include ceramic production, celestial symbolism in imperial art, Buddhist iconography, and the integration of digital technologies like AR/VR in museum exhibitions. Scientific Awards and Recognitions: National Scientific Qualification for Associate Professor (Seconda Fascia), Sector 10/N3 - Cultures of Central and Eastern Asia (valid until 2035) Advising and Grants : While no formal PhD students are listed, he has supervised interns and contractors at MAO and participated in interdisciplinary research projects involving digital reconstruction and cultural heritage. He has contributed to major exhibitions funded by public and private institutions, including Palazzo Ducale and Museo Civico PA Garda. Labs and Teams : He has led curatorial teams at MAO, collaborated with digital humanities researchers on AR/VR projects, and worked with international scientific committees for exhibitions. He is a member of the Asia Collections Network (ACN–Europe) and the European Association of Chinese Studies (EACS), contributing to transnational scholarly networks in Asian art.

Roberto Riggioمشاهده پروفایل

پژوهشگر

• Networking
• Edge Computing
• 5G Networks
• +۵ مورد دیگر

Roberto Riggio is a Researcher at the Department of Information Engineering within the College of Engineering at Marche Polytechnic University (UNIVPM) in Italy. His work focuses on cutting-edge networking technologies with an emphasis on edge computing, 5G/6G networks, and software-defined networking solutions. His research has significant implications for the future of telecommunications infrastructure and distributed computing systems. Dr. Riggio's research interests center around network architecture and management, with particular expertise in edge computing, network function virtualization, and federated learning systems. His work explores the intersection of artificial intelligence and networking, developing novel approaches for resource allocation, service placement, and network optimization. His publications demonstrate a strong focus on practical implementations that address real-world challenges in telecommunications, particularly regarding quality of service, latency management, and security in next-generation networks. Analysis of his recent publications reveals a clear research trajectory focusing on the convergence of AI and networking technologies. His work increasingly emphasizes edge-based AI applications, particularly federated learning implementations that maintain data privacy while enabling distributed intelligence. He has made significant contributions to network slicing, zero-touch management, and O-RAN architectures, with applications spanning from vehicular communications to IoT systems. His publications consistently address the critical challenges of latency, resource allocation, and security in modern networked environments. Dr. Riggio actively contributes to the academic community through his research projects and publications, though specific awards or fellowships aren't documented in the available materials. His work appears in reputable venues focused on networking and telecommunications research. While specific details about his advising activities and grant funding aren't provided in the available documentation, his extensive publication record suggests active involvement in research projects. His work appears to be connected to several European research initiatives, particularly those focused on 5G and beyond networks, edge computing, and software-defined networking solutions. The collaborative nature of many publications indicates participation in multi-institutional research efforts. Based on his publication topics, Dr. Riggio likely participates in research groups or labs focused on networking and telecommunications at UNIVPM. His work on projects like AI@EDGE, O-RAN implementations, and network management platforms suggests involvement with specialized research teams developing next-generation networking solutions. His research has practical applications in areas including connected and automated mobility, IoT infrastructure, and content delivery networks.

Raffaele Bollaمشاهده پروفایل

استاد

• Cyber Security
• Machine Learning
• 5G/6G Networks
• +۵ مورد دیگر

Raffaele Bolla is a Full Professor at the Department of Naval, Electrical, Electronic and Telecommunication Engineering (DITEN) within the University of Genova, School of Engineering. He specializes in telecommunications, with research focusing on energy efficiency, 5G/6G networks, network virtualization, and green technologies. He coordinates the Master's Degree program in Telecommunications Engineering and teaches courses including Cyber Security , Internet and Multimedia Engineering , and Wireless Networks (5G) and Cloud/Edge Computing . Research Interests: Energy-efficient network design 5G/6G network virtualization Machine learning for network optimization Sustainable telecommunications Human-machine interaction in industrial networks Smart grid technologies His recent publications address container scaling, network observability, and power consumption in next-generation networks. He leads projects like RESTART and contributes to standards in energy-efficient networking.

• Organizational Behavior
• Human Resources Management
• Organizational Change
• +۴ مورد دیگر

Ludovica LEONE serves as an Associate Professor in the Department of Economics "Marco Biagi" at the University of Modena and Reggio Emilia, where she specializes in organizational behavior, human resources management, and the dynamics of collaborative workspaces. Her academic position falls under Scientific-Disciplinary Sector ECON-08/A Business Organization, reflecting her expertise in organizational theory and management practices. She maintains an active teaching schedule, offering courses such as Organization and Management of Human Resources for International Economics and Marketing students, Organizational Behavior and People Management for Labor Relations graduate students, and Communication and Change Management. Professor LEONE's research interests center on the intersection of physical workspace design and organizational behavior, with particular emphasis on collaborative spaces, creativity in organizations, and organizational change processes. Her work explores how physical environments influence collaboration, innovation, and employee well-being, examining both traditional office settings and emerging collaborative workspaces like coworking environments. She has developed a nuanced understanding of creativity in organizational contexts, moving from her early work on creativity in haute cuisine to broader applications in workplace settings. Analysis of her publication record reveals a clear evolution in focus, with early work examining creativity through culinary arts transitioning to more comprehensive studies of collaborative spaces and organizational behavior. Since 2020, her research has increasingly addressed pandemic-related workplace transformations, exploring how organizations adapted physical and virtual spaces during this period. Her most recent publications (2023-2025) demonstrate continued focus on organizational change, collaborative environments, and leadership adaptation in post-pandemic contexts. Professor LEONE maintains active research collaborations, particularly with scholars like Fabrizio Montanari, Anna Chiara Scapolan, and Stefano Rodighiero, resulting in numerous co-authored publications across journal articles, book chapters, and conference papers. Her research methodology appears to blend qualitative and case study approaches, often examining specific collaborative spaces or organizational contexts in depth. She conducts regular student reception hours online on Thursdays from 5-7pm and maintains her professional presence through ORCID (0000-0002-6496-3637). Her office is located in the Department of Economics "Marco Biagi" in Modena (Office Code: 10 West), where she continues to contribute to both teaching and research activities in organizational studies.

Tommaso Cucinottaمشاهده پروفایل

دانشیار

• Cloud Computing
• Real-Time Systems
• Artificial Intelligence
• +۷ مورد دیگر

Tommaso Cucinotta is an Associate Professor at the Real-Time Systems Laboratory (ReTiS) within the TECIP Institute of Scuola Superiore Sant'Anna, Pisa, Italy. He earned a MSc and PhD in Computer Engineering from University of Pisa and Scuola Superiore Sant'Anna, respectively. His career spans academic and industrial roles, including researcher positions at Alcatel-Lucent Bell Labs (2012-2014) and Software Development Engineer at Amazon DynamoDB (2014-2016). He coordinates real-time and embedded systems research at ReTiS since 2019. Born in 1974, Potenza, Italy MSc in Computer Engineering, University of Pisa (2000) with 110 cum laude PhD in Computer Engineering, Scuola Superiore Sant'Anna (2004) His research focuses on real-time systems in cloud environments, including adaptive resource management, AI-driven performance monitoring, secure computing, and scalable NoSQL databases. He explores operating system innovations for many-core architectures, network function virtualization (NFV) optimization, and kernel-level enhancements for latency control. His work integrates formal methods with practical implementations, such as autonomic QoS control and high-performance container communication frameworks. Recent publications analyze predictive elasticity in cloud infrastructures, real-time DAG optimization on heterogeneous platforms, and AI applications for system-level performance tuning. He actively contributes to open-source tools like ARSim and AQuoSA, while mentoring MSc thesis projects on topics like Kubernetes optimization, fault-tolerant replication logs, and machine unlearning techniques for LLMs. Collaborations with industry leaders (Ericsson, Red Hat, Vodafone) bridge academic research with real-world scalability challenges. Scientific awards include the Best Paper Award at CLOSER 2020 for his work on high-performance inter-container communication frameworks. He participates in program committees of major conferences and contributes to the evolution of Linux real-time scheduling mechanisms through projects like SCHED_DEADLINE enhancements for multimedia applications.