Abstract: Belief Rule Based Expert Systems (BRBESs) are widely used in diverse domains, especially where uncertainty is considered as a critical issue. This talk will present the evolution of BRBESs methodology starting from knowledge representation, inference and learning by taking into account the complexity of the problems of diverse domains. This will demonstrate the scope and challenges of integration of BRBESs with deep learning as well as with evolutionary optimization algorithms. This integration can be considered as fundamental either to develop intelligent decision technologies or to make AI systems more explainable, by ensuring a balance between accuracy and explainability. Results from our ongoing research will be presented to demonstrate the applicability of our approaches.

Biography: Mohammad Shahadat Hossain is a Professor of Computer Science and Engineering at the University of Chittagong, Bangladesh since 2007. He is the first professor of Computer Science and Engineering of this region of Bangladesh. He did both his MPhil and PhD in Computation from the University of Manchester Institute of Science and Technology (UMIST), UK in 1999 and 2002 respectively. He awarded prestigious Commonwealth Academic Staff Fellowship in 2009 through a rigorous academic evaluation at The University of Manchester, UK. He awarded prestigious Tyndall Visiting Fellowship in 2006. In 2011 and 2013 Professor Hossain awarded prestigious European Commission sponsored Erasmus Mundus Academic Staff Fellowship at the University of Aalborg, Denmark. He is also the holder of PERCCOM's (Pervasive Computing and Mobile Communication for Sustainable Development) Scholar Scholarship as a Visiting Professor, which is sponsored by the European Commission, starting from 2014 to till-to-date He successfully completed a number of research projects. Recently, he awarded prestigious Swedish Research Council grant for the project entitled “A Belief Rule Based DSS to Assess Flood Risks using Wireless Sensor Networks”, where he is working as a Foreign Node Leader. Out of this prestigious research, he published more than 50 research articles in the area of Artificial Intelligence, Machine Learning and Wireless Sensor Networks in the reputed journals and conferences, especially in the last three years. Hence, his current research area includes the novel idea of combining pervasive computing with belief rule based expert systems to formulate a new approach of intelligent computing to enrich the field of Artificial Intelligence as a whole and machine learning in particular. In doing so, Prof. Hossain is involved in investigating BRB based deep learning approach to be applied in the area of Big Data. He is also involved in developing tools to extract text data from the Big Data sources such as Twitter, Facebook and many others to support the real time disaster management, which could enrich the field of Natural Language Processing. Investigation of pragmatic software development tools and methods for Information Systems in general and GIS, in particular, is also his area of research. He is continuing his research in other adventurous areas of computing such as health informatics, affective computing, e-government, smart cities, Internet of Things (IoT) and philosophy of computing. He has published more than 140 scholarly articles in the reputed international journals and conferences. He is the author of a number of books. His jointly authored book entitled "Computing Reality", published by Aoishima Research Institute (blue ocean press) in Tokyo, Japan, contributed significantly to enrich the knowledge of computer science and indexed in the ACM Digital Library, published by the Association for Computing Machinery, as one of the important computing literature books. [Please consult the link on my further credentials at http://perccom.univ-lorraine.fr/professor-mohammad-shahadat-hossains-visit-in-lulea-university-of-technology-sweden/]