Consultancy, short or long term, in the design and development of autonomous/semi-autonomous, intelligent, optimal, decision systems in the context of aerospace and military applications, industrial, biomedical, civilian, utlizing expertise in the areas of AI technologies such as multisource, multisensor information fusion (including data fusion, sensor fusion, algorithmic process fusion), pattern recognition, image analysis, optimization techniques, data mining and knowledge discovery, approximate reasoning techniques like fuzzy logic and evidential reasoning, neural nets, data compression, learning, adaptive and optimal systems and other related disciplines.
Mode of Operations:Telecommuting with travel to customer site as often and for as long as essential to meet task needs. Recent activities include consultancy on various customer projects such as Future Combat Systems (FCS), intrusion and intruder detection systems, Disparate Sensor Integration(DSI), SBIR Programs etc., involving discrimination, mult-sensor and multi-source information fusion, and related topics.
Mode of Operations:Telecommuting with travel to customer site as often and for as long as essential to meet task needs. Recent activities include consultancy on various customer projects such as Future Combat Systems (FCS), intrusion and intruder detection systems, Disparate Sensor Integration(DSI), SBIR Programs etc., involving discrimination, mult-sensor and multi-source information fusion, and related topics.
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Fuzzy evidential reasoning approach to target identity and state fusion in multi-sensor environments
Adaptive fusion processor paradigms for fusion of information acquired at different levels of detail
This will count as one of your downloads.
You will have access to both the presentation and article (if available).
This introductory course offers the current view of multi-sensor, and multi-source information fusion architectures, algorithms, and applications. The architectures and the associated algorithms are described. These developments are illustrated with applications from real experience and the latest published literature. These applications span defense, industrial, bio-medical, and other civilian situations. This course discusses fusion at feature and decision levels since these are less directly driven by sensor and application specific considerations and appeal to a broad audience with differing interests.
The course offers an overview of the technological issues and developments in the context of intrusion detection, a critical concern in enforcing access control in sensitive environments, which could be either physical entities or electronic networks. The role of various AI technologies such as pattern recognition, information fusion and the like in developing robust intrusion detection systems will be delineated.
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