Computer Science and Engineering Group

The Computer Science Group of Engineering Department of the Università degli Studi della Campania "Luigi Vanvitelli" (formerly Seconda Università degli Studi di Napoli) – SUN - includes 5 tenured positions (one Full Professor, three Associate Professors and 1 Assistant Professors), one PostDoc and 3 PhD student. It performs research on a number of fields including: Cloud Computing, Mobile Agents and Devices, Ubiquitous and Embedded Computing, High Performance Computing and Systems, Performance Evaluation and Simulation, Knowledge Engineering, Semantic Web and Web Services, Information Retrieval, Pattern Recognition, Data Mining, Formal Systems. It is involved in several international projects. Relevant skills/experience/technologies: SUN has gained expertise in Cloud Computing programming and security by coordinating and participating to many European and National research projects. It has investigated SLA based secure provisioning of Cloud services (SPECS, MUSA) and their optimal brokering by SLA composition and matching with application requirements, automatic deployment on heterogeneous infrastructures and monitoring (mOSAIC). It is also skilled on programming of embedded systems, which have been used to develop ubiquitous and context aware services, both in the smart energy application context (by the CoSSMic project) and to support the exploitation of cultural heritage providing users with personalized and location aware recommendation systems in national projects (

Research Lines


  • Cloud Computing: Vendor neutral APIs, Cloud Agency for services brokering, SLA monitoring and resource reconfiguration, Cloud ontology, Semantic Engine, Dynamic Semantic Discovery Service, Portability and Interoperability, User-centric SLA, Cloud Computing benchmarking, Performance evaluation and prediction.
  • High Performance Computing on Parallel and Distributed Architectures: High level programming models and languages for multi\many-cores, GPGPUs, FPGAs, Hierarchical distributed/shared memory systems, MPI/PVM/OpenMP and multithreading technologies, Cluster and Grid platforms, High Performance Cloud, Mobile Agents for embedded and ubiquitous computing and grid services, Neural Networks, Plasma simulation, Parallel OLAP systems, Data-driven parallelization, Agent based services for management and reconfiguration, Distributed models for Multi Agent Systems, Swarm intelligence, Mobile devices reconfiguration and localization in pervasive environments.
  • Software Engineering and Information Systems: Automatic code parallelization towards Multi-Many cores+GPUs, Techniques and tools for automated reverse engineering, Software modernization and restructuring, Business Process Management, Content Management, Performance prediction, Agent based static and dynamic design.
  • Knowledge Engineering, Semantic and Big Data Intelligence: Semantic based information retrieval and question answering systems, Automatic classification of documents and Web sites, Derivation of Ontology and annotations from unstructured corpora and Web sites, Automatic extraction of domain oriented thesauri, Web and Cloud services discovery, Rule based expert systems, Evolutionary, Connectionist and Swarm intelligence, Data Mining, Pattern Recognition.
  • Formal modeling, verification and validation for Complex and Critical Systems: Testing of large-scale complex critical software, Verification of planning for multi-agent and real time systems, Verification of QOS specifics for SOA applications, Software requirement validation and dependability analysis, Security and reliability validation and enforcement.
  • Networking and Network Security: High performance networking protocols and architectures, Network design, analysis and optimization, Routing and scheduling protocols and algorithms for optical and wireless networks, Security and privacy, Attack, intrusion and anomaly detection, Evolutionary security architectures.
  • Cognitive Science: Qualitative and quantitative verbal\nonverbal emotional interactional communication features, Mathematical modeling of human behavior in interaction and adaptation dynamics, Behavioral and contextual analysis of human-human and human-machine interactions.
  • Data stream mining: Clustering of sensor data, Summarization of highly evolving data streams, Classification of sensor data, Functional Data Analysis and clustering, Forecasting, Regression Methods, Spatial prediction, Outlier detection.
  • Distribution data: Clustering and regression on distributions, Principal component analysis spatial prediction.



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