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Research Areas

At present the department of computing has the following core research groups: Software Engineering (SWERG), Computer Intrusions, Forensics and Exploitations Research (CIFER), Complex system modelling, Knowledge Discovery and Management for development (KDMD), Web animation and Visualization and eLearning (WAVE) and Parallel Computing. Some of the ongoing researches within our groups are described below.

Computer Intrusions, Forensics and Exploitations Research

Dr. Curtis Busby-Earle

Complex systems Modelling group’s area of interest includes: spatial computing systems that adhere to the amorphous computing model, and the development of supporting software simulation tools in addition to robotics and animation, especially in education applications, many of this group’s projects are interdisciplinary in nature and often overlap with areas in Science , Engineering and / Education.

Prof. Daniel N. Coore

In recent years we have witnessed the rising use of networked computer devices for monitoring environments and mobile communications. These use cases require new methods for approaching sensor deployment, protocol design, and information security. Problems that arise in wireless networking environments cannot be solved with the same approaches used for wired networks due to the impact of node mobility and more rapid time variation in the communication channel. From a technical point of view, these problems require proper network and protocol design as well as analysis of the trade-offs of the network parameter choices.

Dr. Daniel T. Fokum

KDMD’s objective is to develop methods, techniques, approaches and algorithms with special focus on application domains that are essential for development (eg. healthcare, education, sports). The common themes of the research projects in this group focus on harnessing a variety of data/ knowledge sources with special focus on data mining, knowledge management systems, expert systems, sentiment analysis and natural language processing.

Dr. Gunjan Mansingh

Parallel computing group develops parallel algorithms on parallel virtual machines for scientific and engineering computation with cases for active thermal control processes and atmosphere processes. Their primary areas of interest are parallel numerical computation and mathematical computation.

Dr. Simon Uzezi Ewedafe
Dr. A. G. Hamilton-Taylor

SWERG’s area of interest include: Software security, requirement engineering, and software Modelling, eLearning, Component-based software engineering, software certification and formal methods. The SWERG also has two research Labs Software Engineering and Computer Intrusion Forensics and Exploitation Research.

Dr. Ezra K. Mugisa
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