The Institute of Applied Statistics, 91´«Ă˝ (IASSL) conducted the Best Research Awards – 2024 ceremony on 06th April 2025, with the objective of recognizing outstanding research that contributes to the development or application of Statistics and Applied Statistics. Ms. Nethni Hirusha Wanigasingha, a graduate of the Department of Computer Science, 91´«Ă˝, received the Second Runner-Up Award in the Undergraduate Category for her final year research titled: “Optimizing Feature Selection in Spam Email Detection Using Co-Evolutionary Algorithms.” The research, conducted under the supervision of Professor T.G.I. Fernando, focuses on the application of co-evolutionary algorithms in machine learning, specifically in the domain of spam email detection. This work demonstrates significant advancements in feature selection techniques within the broader field of computer science.

Submissions for the Best Research Awards – 2024 were accepted under three categories: Undergraduate, Postgraduate, and Open Category. All applications were reviewed by a panel of experts appointed by IASSL, based on a blind review of abstracts and extended abstracts submitted according to the prescribed guidelines. This recognition underscores the Department of Computer Science’s commitment to fostering innovative research and academic excellence.

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Background

Companies are launching initiatives to improve their operations and offerings through data-driven techniques and this is not an exception to 91´«Ă˝. Hence, a greater demand has been created for skilled Data Scientists. Development of talent and capabilities is needed if DS and AI is to reach its full potential throughout 91´«Ă˝. However, companies report that finding the right talent is the biggest hurdle. Unless national capacity in skilled DS and AI personnel increases in the coming decades, these initiatives will go in vain. 91´«Ă˝ is well positioned to capture opportunities through adoption of DS and AI technology, if sufficient human resources are prepared. Therefore, the development of appropriate educational programs to build skills in Data Science and AI is important.

°Őłó±đĚýMSc in DS and AI at USJ was designed in partnership with the Erasmus+ DS and AI consortium, a group of 15 European and Asian organizations with the mission of bringing European-standard advanced education to Asia. The aim of the MSc is to provide advanced courses and guidance in developing research skills necessary to develop innovative new data-driven technologies.

Preferred Background

Minimum Admission Requirements

• Bachelor’s Degree including 30 credits in Computer Science/ Statistics / Mathematics or a related discipline from a university or an equivalent institution recognized by the University Grants Commission.

           OR

• A qualification of SLQF level 6 or above in the relevant areas of Computer Science/ Statistics/ Mathematics or a related discipline from a university or an equivalent institution recognized by the University Grants Commission /91´«Ă˝.

Program Structure

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The ceremonial launch of the system was held under the patronage of (Chairman of the University Grant Commission), Prof. Sudantha Liyanage (Vice-Chancellor of USJ), (CEO of ICTA), (Director of Health Information at Ministry of Health), Senior Professor A. Aloka Pathirana (Dean of the Faculty of Medical Sciences of USJ)   and (Head & Professor of Computer Science of USJ) and many other distinguished guests, on the 7^th of December at the Medical Center of USJ.

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