Presentation Schedule 2013

The current presentation schedule for the DRTS group is:

DateWeekTitleAbstract + other informationPresenter
2013-09-1738Network evolution and fusion

Slides (only internally available, do not distribute)

Dr. Jianguo Ding
2013-10-0140Time series analysis: pros & cons

Time series analysis via state-based methods is  mature methodology that has been employed in control theory, econometrics etc. In this presentation, an overview of this field will be presented as well as some significant advantages and disadvantages compared to other methods.


Dr. Jonas Mellin
2013-10-1542Probabilistic logic - the successful marriage of two independent AI paths?Two, more or less, independent branches of intelligent reasoning in AI are logic based and uncertainty based.  The former was initially successful in systems such as Prolog for reasoning but cannot deal with uncertain implications or observations (e.g. from sensors). On the contrary, the latter has the ability to represent and deal with uncertain information but lacks the ability to deal explicitly with structural information. Research on probabilistic logic aims at marrying these two disciplines and provide  a common mathematical framework for reaping the benefits of both of them. This is a developing research area and in the presentation we look at different approaches including ProgLog, Probabilistic argumentation, Subjective logic and Markov logic networks.Dr. Ronnie Johansson


Challenges in Information Fusion Technology Capabilities for Modern Intelligence and Security Problems

Evolutions in both the socio-political dynamics of the World and in Information and Computing Technologies have drastically changed the nature of many intelligence problems in ways that make them much more complex. Information Fusion (IF) technologies, which have historically been among the leading suppliers of information to intelligence analyses and analysts, are now similarly challenged to address these new complexities. This paper offers perspectives on what these challenges entail, and briefly describes some research efforts attempting to deal with some of these challenges. However, there is much more that needs to be done by the IF community, and some of the needed research and development is also described in the paper.

Author: Dr. James Llinas, Center for Multisource Information Fusion, University at Buffalo, Buffalo, New York, USA

Paper presented at European Intelligence and Security Informatics Conference (EISIC) 2013 (by Sten)
Prof. Sten F. Andler

Computer Based Training

Training must be well planned on how, when and what to achieve for the expected desired result. It is also important to think about how people learn: people generally learn and remember best what they study when they “do the real things” by themselves or, at least, when they are simulating that they are doing. Serious games could provide an environment where the learner may simulate actions in a more engaging way. In fact, it has been shown that serious games can be effective learning materials for most topics. With that in mind, training should be designed in a way that the students function as active participants as occurs in simulations and serious games. Related to this approach, this presentation will show different perspectives on how to use computers for training in topics like cyber security. The presentation will give an overview of our recent research results at the University of Skövde and, in parallel, it will suggest ways to strengthen the collaboration involving Brazil and Sweden while promoting the interaction between universities, firms and government.

Dr. Joni Amorim
2013-11-2648TBA (Information fusion)TBADr. Alexander Karlsson
2013-12-1050TBA (testing)TBADr. Birgitta Lindström

Uppdaterad: 2013-10-01
Sidansvarig: DRTS-gruppen