Vincenzo Loia | Martin Brynskov | Arijit Ukil

Prof. Vincenzo Loia

Prof. Vincenzo Loia

University of Salerno, Italy

A Computational Perspective to Situational Awareness

Situation Awareness (SA) concerns all things happening around us and is typically associated to what is critical with respect to our interest. For instance, an airplane pilot does not need to be aware of everything around him but only the information required for driving correctly and safely. Endsley provided a more formal definition that considers Situation Awareness as a three-phase process: perception of the elements of an environment in a given time interval, comprehension of the aforementioned elements and projection of their states into the next future. More in details, from a computational viewpoint, SA aims at formalizing and deducing situations (occurring in the real world) by processing, fusing and abstracting context information.

We proposed the Perception-Oriented Approach to identify situations. Such approach is based on two phases: low-level perception and high-level perception. The low-level perception is realized by means of Semantic Technologies and allows to generate more abstract information from raw sensor data by also considering knowledge about the environment. Sensor Middleware like Global Sensor Network (GSN), Linked Sensor Middleware (LSM), OpenIoT and Semantic Web Ontologies like W3C SSNO have been employed to support gathering and processing of sensor data. At this level, we proposed approaches to assess the reliability, and other quality dimensions, of sensor data (observations). In particular, we introduced an approach to exploit a fuzzy-based consensus model to handle cases in which redundant sensors provide discordant observations.

Moreover, high-level perception is realized by means of techniques like, for instance, Fuzzy Formal Concept Analysis, Fuzzy Cognitive Maps, etc. and allows to organize and classify abstract and actionable information to support the work of DSSs. At this level, we proposed a nature-inspired approaches, based on Artificial Bees, for mining association rules used to foster the resilience of the situation identification algorithms and the adoption of Semantic Web technologies, like SAW Ontology, to model situations and Semantic Inference Engine (OWL-based and Rule-based) to reason on them.

Biography of Vincenzo Loia

Vincenzo Loia received the PhD in Computer Science from the University of Paris VI, France in 1989. From 1989 he is Faculty member at the University of Salerno where he teaches Situational Awareness, IT Project & Service Management. His current position is as Full Professor of Computer Science at Department of Management and Innovation Systems.

He was principal investigator in a number of industrial R&D projects and in academic research projects. He is author of over 350 original research papers in international journals, book chapters, and in international conference proceedings. He edited four research books around agent technology, Internet, and soft computing methodologies. He is founder of the CO.RI.SA. (Research Consortium on Agent System). He is Co-Editor in Chief of Soft Computing, and Founder and Editor in Chief of Ambient Intelligence and Humanized Computing, both published from Springer-Verlag. He serves as Associate Editor in several international Journals, among them IEEE Transaction on Industrial Informatics, IEEE Transaction on Systems, Men, Cybernetics, International Journal on Granular Computing.

He hold in the last years several role in IEEE Society in particular for Computational Intelligence Society (Chair of Emergent Technologies Technical Committee, IEEE CIS European Representative, Vice-Chair of Intelligent Systems Applications Technical Committee).

His current research interests focus on hybrid approaches for situational awareness and cognitive based systems applied in various domains.

Dr. Martin Brynskov

Dr. Martin Brynskov

Aarhus University, Denmark

Open and Agile Smart Cities

Cities across the globe are looking for ways to spur open innovation. The reason is simple. Innovation is needed to overcome the digital transition of cities and communities, and it has to be open for two reasons: First, it must be open to include a variety of stakeholders, because services are increasingly connected to other systems and co-created with stakeholders outside the old verticals, and second, it must help to establish a competitive but attractive enough market for developers, thereby driving down cost, increasing quality and avoiding vendor lock-in and monopolization. Seen from a developer’s perspective, one city is not a market. A number of countries or a continent is a sizable market. But global de facto standards for portability and interoperability are the only way to create a true global market for smart city services. In such a market, developers can start investing and specializing with an outlook of sustainable business models in public-private innovation partnerships.

Biography of Martin Brynskov


Mr. Arijit Ukil

Mr. Arijit Ukil

Innovation Labs, Tata Consultancy Services, India

IoT Healthcare Analytics: The Importance of Anomaly Detection

Healthcare data is quite rich and often contains human survival related information. Analyzing healthcare data is of prime importance particularly considering the immense potential of saving human life and improving quality of life. Furthermore, IoT revolution has redefined modern health care. IoT offers its greatest promise to deliver excellent progress in healthcare domain. In this talk, proactive healthcare analytics specifically for cardiac disease prevention will be discussed. Anomaly detection plays a prominent role in healthcare analytics. In fact, the anomalous events are to be accurately detected with low false negative alarms often under high noise (low SNR) condition. An exemplary case of smartphone based cardiac anomaly detection will be presented.

Biography of Arijit Ukil