Department | Knowledge Management and Information Systems

Mission

The Knowledge Management and Information Systems Laboratory (KnowMIS) is a prestigious location for established international academic and industrial collaborations, and for the scientific and industrial activities of research groups, composed variably by personnel and collaborators from the University of Salerno, other National and International Universities and Research Centers, and Industries. It is known for welcoming young researchers, scholarship holders, Ph.D. candidates, and students in multidisciplinary fields (Mathematics, Computer Science, Information Engineering, Economics, and Management, etc.). The Laboratory primarily operates in the fields of Knowledge Management and Information Systems, as well as Situation Awareness, Artificial Intelligence, and Learning with a particular focus on new ICT Methodologies and Technologies.

Stable International Scientific Collaborations:

• University of Duisburg-Essen (Germany) - prof. Dirk Soeffker
• Drexel University (USA) - prof. Asan Ayaz
• University of Alberta (Canada) - prof. Marek Z. Reformat
• University of Kaohsiung (Taiwan) - prof. Tzung-Pei Hong
• Mindanao State University (Philippines) - prof. Orven Llantos
• Madanapalle Institute of Technology & Science (India) - prof. Goutam Chakraborty
• IBM Almaden Services Research (USA) - Dr. James C. Spohrer

Stable National Scientific Collaborations:

• University of Rome Tre - Research group of prof. Alessandro Micarelli
• University of Calabria - Research group of prof. Giancarlo Fortino
• SISINF Lab - Politecnico di Bari
• CORISA - Consortium for Research in Agent Systems
• SIMAS Research Center

Main Industrial Collaborations:

• Engineering S.p.A. (SIEGE project - Software Innovation for E-Government Expansion)
• Poste Italiane S.p.A. (FIBAC project - Innovative Enjoyment of Artistic and Cultural Assets)
• QuiGroup S.p.A. (TITAN project - multi-channel electronic money system and value-added services)
• The Aerospace Corp. (USA) - Dr. Kristie Bellman
• Evolution Group (Collaborations in digital development and technological innovation)

Research

At the KnowMIS Laboratory, there are two main research groups:

1. The KnowMIS-SA research group (scientific direction by Dr. Eng. Giuseppe D'Aniello) conducts research in the field of Situation Awareness, with a multidisciplinary approach integrating methodologies and techniques from Artificial Intelligence, Computational Intelligence, Cognitive Science, and Human Factors. This includes cognitive and computational modeling, data processing from sensor networks, and techniques for situation visualization and analysis. The group is particularly active in creating innovative frameworks based on Granular Computing for analyzing and processing large amounts of data from diverse information sources, to support Cognitive Situation Management processes such as awareness, prediction, reasoning, and decision-making. These approaches are widely used in domains requiring critical decision-making in dynamic environments (e.g., Smart City, Logistics, E-Learning, Safety & Security, Enterprise).
2. The KnowMIS-DSS research group (scientific direction by prof. Matteo Gaeta) works on defining approaches and techniques for decision-making and the development of hybrid Decision Support Systems, utilizing Artificial Intelligence and Knowledge Management. The research includes studying human decision processes and experimenting with approaches that leverage these mechanisms to support decision-makers effectively. This involves supporting group decision-making with Computational Intelligence models (e.g., Fuzzy Logic), analyzing collective perception, and integrating business intelligence with data mining, knowledge management, and decision-making methods.

Teaching

The laboratory is mainly used by graduate students from the Bachelor's and Master's degree programs in Computer Engineering, engaged in the design, development, and experimentation of applications and techniques based on Situation Awareness and Decision Support Systems.

Equipment

• 8 HP Compaq 6300 workstation stations
• 1 HP Server