CAREER SUMMARY
Professor M. G. Noel A. S. Fernando is a senior academic and computing professional with over 39 years of experience in computer science, information systems, higher education, research, and ICT development in Sri Lanka. He holds B.Sc., M.Sc., and Ph.D. degrees in Computer Science from the University of Colombo. His academic interests include artificial intelligence, machine learning, data mining, information systems, algorithms, ICT education, and e-learning.
He has served the University of Colombo and the University of Colombo School of Computing (UCSC) in various technical and academic positions, progressing to Senior Lecturer and Professor. He has also served as a Consultant and Chief Information Officer at the Ministry of Higher Education. His contributions include teaching, research supervision, curriculum development, academic leadership, quality assurance, and accreditation of higher education programmes.
In October 2026, Professor Fernando commenced his appointment as Professor in the Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology (SLIIT), Malabe Campus. His career reflects a longstanding commitment to computing education, research, institutional development, and the advancement of higher education in Sri Lanka.
ACADEMIC QUALIFICATIONS
PhD in Computer Science
Master of Science (Msc) in Computer Science
Bachelor of Science in Applied Science
Certificate in Teaching in Higher Education and SEDA(UK) Award
RESEARCH INTERESTS AND MEMBERSHIP
Research Interests
Data Mining
Big Data & Busness Interligence
Applied Research
ICT for Sustanable Develipmenet
Artifical Interligence and ML,Deep Learning
Memberships
Member,Member of Computer Society of Sri Lanka (MCSSL)
Member, Member of Institute of Electrical and Electronic Enginners (IEEE)
Certificate in Teaching in Higher Education and SEDA (UK) Award
RESEARCH AREAS
- Artificial Intelligence in Education
- Data Science
- Business Intelligence and Analytics
- Applied Research
- Artificial intelligence
ONGOING RESEARCH
Developing a Prediction Model for Undergraduate Students’ Dropouts in Open and Distance Learning with Blended Learning Delivery Mode
Use of ICT enabled pedagogical techniques to develop the quality of student learning in the flipped classroom
Towards Energy-Efficient, SDG-Aligned Web Architectures: Enhancing Sustainable Web Development Practices in 21st-Century ICT