جست‌وجوی استاد و پژوهشگر

Stefano Caselliمشاهده پروفایل

استاد

• Autonomous Robotics
• Real-Time Systems
• Parallel and Distributed Computing
• +۴ مورد دیگر

Stefano Caselli is a Full Professor of Computer Engineering at the School of Engineering , University of Parma , Italy. He teaches courses in operating systems, real-time systems, digital design, and robotics. His academic journey includes a Laurea in Electronic Engineering (1982) and a Ph.D. in Computer and Electronic Engineering (1987) from the University of Bologna, followed by a visiting scholar position at the University of Florida's Machine Intelligence Laboratory (1989-1990). Current Role: Full Professor, Department of Information Engineering Leadership: Former Chairman of Electronic, Computer, and Telecommunications Engineering degree programs (2000-2006), currently Vice-Chairman of the Ph.D. school in Information Technology and director of a French-Italian double-degree exchange program. Research Focus : His work spans autonomous robotic systems , real-time architectures , human-robot interaction , and edge-to-cloud computing . He has led EU-funded projects like VAALID (2015-2020) and regional initiatives such as AERTECH (2015-2020), emphasizing robotics in industrial automation and rehabilitation. Publications & Collaborations : With over 100 papers in top journals and conferences (e.g., IEEE ICRA, IROS), he explores robotics, precision agriculture, and sensor integration. His Robotics Laboratory (co-founded in 1992) collaborates with local companies on industrial automation solutions. Teaching & Administration : He has served on scientific committees for IEEE ICRA and IROS conferences and is a member of IEEE and ACM . Office hours are conducted via Teams during the pandemic, with physical meetings resuming in Building 1, University of Parma.

Luca Spalazziمشاهده پروفایل

دانشیار

• Computer Science
• Cybersecurity
• Blockchain Technology
• +۵ مورد دیگر

Luca Spalazzi is an Associate Professor at the Department of Information Engineering , Università Politecnica delle Marche , Italy. His research spans multiple domains including cybersecurity , blockchain technology , machine learning , and telerehabilitation systems for Parkinson's disease. He applies formal methods to software verification and security analysis, with a focus on real-time systems and distributed architectures . Key research areas: Cybersecurity, Blockchain, Machine Learning, IoT, Formal Verification Recent work: Blockchain-based sustainable supply chains, Zero-Knowledge Proofs, Smartphone health monitoring His publications (2013-2025) demonstrate expertise in malware detection , smart contract verification , and AI-driven health solutions . Articles include BRAIN 2024 workshop organization and RAPIDO system for Parkinson's telerehabilitation.

Loris Belcastroمشاهده پروفایل

پژوهشگر

• cloud computing
• edge computing
• big data
• +۴ مورد دیگر

Loris Belcastro, PhD, is a researcher in computer engineering at the University of Calabria, Italy, affiliated with the Department of Electronics, Computer Science and System Sciences (DIMES). He earned his PhD in Information and Communication Engineering from the same institution and serves on editorial boards for journals like the Journal of Supercomputing and SN Computer Science. In 2024, he obtained the Italian National Academic Qualification as Associate Professor in Computer Engineering. His research focuses on cloud and edge computing big data analytics machine learning social media analysis high performance computing parallel/distributed data analysis His recent publications highlight trends in edge-cloud continuum integration, distributed machine learning, and scalable big data analysis. He has contributed to frameworks for urban mobility prediction, industrial IoT applications, and HPC optimization through libraries like ParSoDA-Py. He has served as guest editor for journals such as Future Generation Computer Systems and Sensors, reflecting his expertise in distributed systems and data analysis.

• Distributed Systems
• Internet of Things
• Agent-Based Modeling
• +۱ مورد دیگر

Wilma Russo is a Full Professor of Computer Engineering at the University of Calabria's Department of Computer Engineering, Modeling, Electronics and Systems (DIMES). She holds a degree in Physics from the University of Naples (1975). Her research focuses on distributed/parallel systems in heterogeneous environments, with current interests in agent-based computing, content delivery networks, and Internet of Things. Her publications demonstrate sustained innovation in IoT architectures, agent-based modeling, and edge computing solutions. Recent work emphasizes methodological frameworks for IoT integration and opportunistic service paradigms.

Simona Colucciمشاهده پروفایل

دانشیار

• Semantic Web
• Knowledge Representation
• Big Data Analytics
• +۲ مورد دیگر

Simona Colucci is an Associate Professor at the Polytechnic University of Bari, focusing on Semantic Web technologies, knowledge representation, and big data analytics. Her research develops computational methods for RDF data analysis, explainable AI, and healthcare information systems. Key contributions include the ARGO framework for medical diagnosis standardization, LISE for interactive explanation of RDF similarities, and distributed analytics architectures. Her work bridges semantic technologies with practical applications in healthcare data processing and cluster interpretation. Research consistently addresses knowledge extraction from structured data, natural language generation for semantic resources, and scalable processing of big datasets. Methodologies combine description logics, NLP, and distributed computing frameworks.

Roberto Corizzoمشاهده پروفایل

پژوهشگر ارشد

• Big Data Analytics
• Data Mining
• Predictive Modeling
• +۳ مورد دیگر

Roberto Corizzo is a Research Fellow at the Department of Computer Science, University of Bari, Italy. He holds a Ph.D. and is affiliated with the LACAM Laboratory. His research focuses on big data analytics, data mining, predictive modeling for sensor networks, energy prediction in smart grids, and anomaly detection. He has conducted research internships at INESC TEC (Portugal) under Prof. João Gama and at the American University (Washington D.C.) under Prof. Nathalie Japkowicz. Key research interests include: Big Data Analytics Predictive Modeling for Sensor Networks Energy Prediction in Smart Grids Anomaly Detection in Dynamic Systems His work spans over 15 publications from 2014–2019, addressing challenges in data stream analysis, renewable energy forecasting, and distributed computing. Notable contributions include Spark-GHSOM for large-scale data clustering and DENCAST for multi-target regression. He has organized conference challenges (e.g., ECML/PKDD Discovery Challenges) and contributed to projects like VIPOC for renewable energy prediction. No scientific awards are explicitly listed. He collaborates with academic institutions globally and participates in interdisciplinary projects involving energy systems and semantic services in big data platforms.

• Systems Biology
• Bioinformatics
• Computational Biology
• +۹ مورد دیگر

Mario Lauria is an Associate Professor at the Department of Mathematics of the University of Trento, also affiliated with the Interdepartmental Center for Mind/Brain Sciences (CIMEC). He holds a PhD in Electrical and Computer Engineering from the University of Naples Federico II and conducted postdoctoral research at the University of Illinois and UC San Diego. He has held academic positions at The Ohio State University, TIGEM in Naples, and the Microsoft Research-COSBI Centre. His research focuses on computational methods for biomarker discovery, systems biology, and gene regulatory network analysis. Lauria has coordinated multiple EU and industry-funded projects, including work on metabolic markers of pre-diabetes and systems biology approaches to neurodegenerative diseases. Education: PhD in Electrical and Computer Engineering, University of Naples Federico II (1997) M.S. in Computer Science, University of Illinois at Urbana-Champaign (1996) Laurea in Electrical Engineering, University of Naples Federico II (1992) Research interests emphasize bioinformatics , systems biology , and high-performance computing , with applications to gene regulatory networks, diagnostic biomarkers, and multi-omics data integration. His work bridges computational methods with biological systems, particularly in aging, neurodegenerative diseases, and metabolic disorders. Publications reflect a focus on Alzheimer’s biomarkers , diabetes , and gene network analysis . Key contributions include rank-based biomarker algorithms and consensus clustering methods for metabolic profiles. His interdisciplinary approach spans computational tools (e.g., SCUDO, rScudo) and collaborative projects with pharmaceutical and academic partners. Awards include the 2012 SBV IMPROVER Challenge win and IEEE Senior Membership. He serves on editorial boards for journals like IEEE Transactions on Parallel and Distributed Systems and BMC Bioinformatics . Grants and collaborations include leadership in the EarlyBird pre-diabetes project and contributions to EU-funded initiatives like AnEUploidy . His academic service roles include coordinating the Data Science and Quantitative Biology master’s programs at Trento University. Labs/Teams: Active in the Microsoft Research-COSBI Centre for systems biology and the CIMEC interdisciplinary neuroscience hub.

Toni Manciniمشاهده پروفایل

استاد

• Artificial Intelligence
• Formal Verification
• Model Checking
• +۳ مورد دیگر

Prof. Toni Mancini is Full Professor at the Department of Computer Science, Sapienza University of Rome, where he leads research in artificial intelligence and formal verification methods. His work develops computational approaches for system verification, in silico clinical trials, and optimization of cyber-physical systems. Mancini has secured substantial research funding including EU projects PAEON (model-driven computation of infertility treatments) and SmartHG (energy demand aware services for smart grids). He currently coordinates scientific programs in Rome Technopole's innovation ecosystem and develops AI applications for forensic psychiatry. His teaching includes courses on Artificial Intelligence, Databases, and Formal Methods in AI-Based Systems Engineering. Mancini has supervised numerous PhD students and received the Best Paper Award at ISMIS 2018 for work on network vulnerability analysis.

• Computer Engineering
• Embedded Systems
• Radiation-Hardened Electronics
• +۳ مورد دیگر

Andrea Portaluri is a Ph.D. candidate in Computer Engineering (37th cycle, 2021-2024) at Politecnico di Torino's Department of Control and Computer Engineering (DAUIN). He also serves as an external lecturer and teaching collaborator for the course 'Operating Systems' in the 2024/25 academic year. His research focuses on radiation-hardened FPGA design, real-time embedded systems reliability, and fault tolerance in software-hardware co-design. Research interests include radiation effects on electronics, FPGA-based acceleration, real-time operating systems (RTOS), and mitigation techniques for soft errors in embedded systems. He collaborates with researchers like Luca Sterpone, Sarah Azimi, and Corrado De Sio on projects addressing reliability in space and safety-critical applications. His recent publications analyze radiation-induced errors in FPGAs, GPU-enhanced CAD tools for radiation-hardened designs, and multi-core neural network accelerators. Work trends emphasize improving embedded system reliability through hardware-software co-design, domain isolation, and fault-tolerant architectures. Portaluri actively participates in international conferences, presenting at venues like ACM Computing Frontiers, IEEE IOLTS, and IEEE Parallel and Distributed Computing. He has contributed to over 15 peer-reviewed articles and conference proceedings since 2021, focusing on radiation-hardening techniques and embedded system resilience.

Gabriele Mencagliمشاهده پروفایل

دانشیار

• Parallel Programming
• Parallel Architectures
• Self-* Systems
• +۳ مورد دیگر

Dr. Gabriele Mencagli is an Associate Professor in the Department of Computer Science at the University of Pisa, Italy. He holds a Ph.D. in Computer Science (2012) and has served as an Assistant Professor (2014–2018) and Tenure-Track Professor (2018–2021) before his current position. His research focuses on parallel systems, including architectures, programming models, and runtime systems for data stream processing. He leads work on the WindFlow stream processing library and has contributed to projects like TEXTAROSSA, ADMIRE, and EUPEX. He co-organized major conferences like HPDC 2024 and DEBS 2025 and serves on editorial boards for journals like Future Generation Computer Systems and Cluster Computing. Education: B.Sc. (2006, summa cum laude), M.Sc. (2008, summa cum laude), Ph.D. (2012) in Computer Science, all from the University of Pisa. Research Interests: Parallel programming, self-adaptive systems, data stream processing, GPU/FPGA acceleration, and high-performance computing. Over 80 publications in top journals and conferences, including IEEE TPDS, JPDC, and Euro-Par. Awards include Italian Habilitation as Full Professor (2025). Teaching: Courses on High-Performance Computing and Computer Architecture, including CUDA programming and parallel design patterns. Active in curriculum development for both bachelor’s and master’s programs. Grants & Projects: Principal investigator in EU-funded projects (e.g., TEXTAROSSA, NOUS) and collaborations with industry (e.g., List-group S.p.A., Autodesk). Focus on exascale computing, digital twins, and edge computing.

• Computer Science
• Security
• Distributed Systems
• +۳ مورد دیگر

Giuseppe Cattaneo is an Associate Professor at the Department of Computer Science , University of Salerno. His research spans multiple domains including Computer Security Distributed Systems Bioinformatics Mobile Communication Security Algorithm Engineering His work has produced significant contributions in cryptographic file systems, secure mobile messaging, and Hadoop-based bioinformatics solutions. Key research trends include Security protocols for mobile environments Scalable genomic data analysis Dynamic graph algorithm optimization Digital forensic countermeasures He has developed frameworks like GRACE for cryptographic visualization and FASTdoop for bioinformatics data processing. Professional activities involve Collaboration with international researchers Development of secure communication protocols Participation in algorithm engineering studies His recent 2021 publications focus on medical data analysis and thyroid cancer outcome prediction.

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

Andrea Marongiu is an Associate Professor at the Department of Physical, Computer and Mathematical Sciences at the University of Modena and Reggio Emilia, specifically affiliated with the Mathematics department. He maintains an active research profile while teaching multiple courses in computer architecture and parallel systems. His research interests span computer architecture, high performance computing, parallel programming, and embedded systems. Marongiu focuses particularly on memory systems, heterogeneous computing architectures, FPGA-based acceleration, and real-time performance analysis. His work bridges theoretical foundations with practical implementation challenges in modern computing systems, with special attention to predictable execution models and quality of service guarantees. Analysis of his recent publications reveals a strong emphasis on memory bandwidth management in heterogeneous systems, particularly focusing on FPGA-based architectures and multicore SoCs. His research trajectory shows consistent work in memory interference analysis, PREM (Predictable Execution Model) scheduling techniques, and fine-grained QoS control mechanisms. The publications demonstrate a progression from general parallel programming concepts toward increasingly specialized techniques for resource-constrained environments like autonomous vehicles and edge computing devices. Marongiu teaches several advanced computer science courses including Computer Architecture I & II, Compilers, High Performance Computing, and Electronic Calculators across multiple degree programs. His teaching approach emphasizes both theoretical foundations and practical implementation, with a focus on RISC-V architecture and modern parallel programming techniques. The course materials indicate he incorporates hands-on laboratory work as an essential component of his pedagogy, particularly in areas like compiler construction and parallel programming.

Stefano Salsanoمشاهده پروفایل

استادیار

• Networking
• Telecommunications
• 5G Networks
• +۷ مورد دیگر

Stefano Salsano is an Assistant Professor at the Department of Electronic Engineering at the University of Rome Tor Vergata since 2000. He holds a Laurea degree (1994) and PhD (1998) from the University of Rome. His research focuses on advanced networking technologies including Information-Centric Networking, SDN, Segment Routing (SRv6), 5G, and Network Function Virtualization (NFV). He has contributed to numerous EU-funded projects (e.g., INSIGNIA, ELISA, AQUILA) and led research in telecommunications at CoRiTeL until 2000. His work emphasizes scalable network architectures, performance measurement, and programmable data planes. Key projects include the OFELIA testbed, SRv6 implementation, and contributions to standards like RFC 9779. He has authored over 100 publications with an h-index of 17, addressing topics such as network programmability, cloud-native solutions, and hybrid SDN/IP systems. Research highlights include developing the DIDA framework for distributed machine learning, optimizing SRv6 for SD-WANs, and exploring 5G Superfluid Networks for dynamic service deployment. Collaborations include CNIT, Netgroup, and initiatives like the GEANT SDX project.

• Civil Procedural Law
• Enforcement Procedures
• Judicial Reforms
• +۵ مورد دیگر

Ennio Cavuoto is an Associate Professor of Civil Procedural Law (IUS/15) at the Department of Law, Economics, Management and Quantitative Methods (DEMM) at the University of Sannio, Italy. He teaches Civil Procedural Law across multiple programs in the Law Department, including specialized tracks in Law and Economics, Law in Action, and European and International Studies. His research focuses on civil procedural law with particular emphasis on enforcement procedures, judicial reforms, and the relationship between enforcement and declaratory protection. Cavuoto has extensively studied forced expropriation procedures, debt restructuring agreements, and the impact of judicial reforms on court efficiency. He has also contributed to understanding the electronic enforcement process and mandatory mediation systems in Italy. Cavuoto's scholarly work reveals a consistent focus on improving civil justice efficiency, examining the delicate balance between justice accessibility and judicial efficiency. His recent publications address contemporary legal challenges including the third amendment to the Corporate Crisis and Insolvency Code, the regime of professional acts in delegated real estate expropriation, and comprehensive surveys of civil justice backlog. His research has been published in prominent Italian legal journals and publications including THE ITALIAN FORUM, THE NEW CIVIL LAWS COMMENTED, and REVIEW OF FORCED EXECUTION, demonstrating his standing within the Italian legal academic community. Cavuoto has contributed to significant research projects including the "Organizational models and digital innovation: the new Office for the Process for the efficiency of the Justice System," funded under the National Operational Programme Governance and Institutional Capacity (PON Governance 2014-2020) of the University of Sannio. His work on judicial district revisions provides valuable insights into the practical effects of the "epochal" reform of the judicial map implemented by legislative decrees nn. 155-156 of 2012, particularly through the lens of the Sannio court experience.

• Linguistic Typology
• Motion Events Encoding
• Romance Languages
• +۱۰ مورد دیگر

Alfonsina Buonicontro is a Researcher in the Department of Humanities (DIPSUM) at the University of Salerno, Italy, where she conducts interdisciplinary research at the intersection of linguistic typology, cognitive linguistics, and language education. Her work focuses on motion event encoding, covert linguistic strategies, and pedagogical models for teaching general linguistics and text comprehension. Her research interests include: Linguistic and lexical typology, especially in Romance languages Motion event semantics and syntax (verb-framed vs. satellite-framed languages) Covert encoding and inferential meaning in motion expressions Constructional semantics and Gestalt theory in language interpretation Development of annotation tools like Modeg for motion event analysis Pedagogical innovation in linguistics education and reading comprehension Her recent publications reveal a strong focus on diachronic and cross-linguistic analysis of Italian, French, Spanish, Latin, and Ancient Greek, with an emphasis on how meaning is constructed beyond explicit lexical items. She explores how learners interpret motion and cohesion in texts, contributing to both theoretical linguistics and applied educational practices. Scientific contributions include: Development of the Modeg (MOtion DEcoding Grid) annotation tool for systematic motion event analysis Experimental educational project LeCo for enhancing reading comprehension in secondary schools Pioneering studies on boundary-crossing events in Romance languages Analysis of Source/Goal asymmetry in classical languages Proposals for top-down, semantics-first models in teaching linguistics Buonicontro actively publishes in peer-reviewed journals and conference proceedings, often in collaboration with scholars such as Claudio Iacobini and Debora Vena. While no formal list of advisees is provided, her involvement in educational projects suggests mentorship and curriculum leadership roles. She maintains a presence on academic platforms including ORCID, ResearchGate, and Academia.edu, indicating ongoing scholarly engagement.