Dr. Sampath Deegalla is a computer engineering graduate with over 20 years of experience in
research, teaching, and administration. He earned a Bachelor of Science in Engineering (BSc Eng)
in Computer Engineering from the University of Peradeniya and furthered his studies in
Stockholm, Sweden, where he obtained a Licentiate of Philosophy (PhLic) and a Doctorate (PhD) in
Computer and Systems Sciences. Currently serving as a senior lecturer, Dr. Deegalla, who is
passionate about educating both undergraduate and postgraduate students.
Dr. Deegalla is an expert in Machine Learning, Data Science, and Artificial Intelligence having
authored over 30 scholarly publications at the national and international levels. He is a
resource person for Dialog Data Academy, which provides data analytics training to the industry.
He conducts postgraduate courses for M.Sc. Programmes in Data Science, Computer Science,
Information Technology and Industrial Mathematics at the Postgraduate Institute of Science,
University of Peradeniya.
Dr. Deegalla is a member of the Institute of Electrical and Electronics Engineers (MIEEE), USA
and an associate member of the Institute of Engineers (AMIESL), Sri Lanka. He has demonstrated
his commitment to staying current in his field through his participation in various professional
organizations and his dedication to ongoing education.
Faculty Research Excellence Awards, Faculty of Engineering, University of Peradeniya, 2022.
Big Data Workshop Scholarships (ICIIS 2017) to attend the Joint Indo–Sri Lanka Workshop on
Big Data Analytics: Recent Trends and Applications workshop, 2017
Travel Grant to participate TEIN4Workshop on Next Generation Sequencing and Big Data Analysis,
2015
Impact of Hybrid Structured Random Projections on GNN Performance
SinhSafe
Integrating Neuro Symbolic AI for Pneumonia Diagnosis from Chest X trays
Multi Modal Data Fusion for Trading Market Price Forecasting
Food Recommendation System Using Machine Learning for Diabetic Patients
cricket analysis
sports action recognition
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may be longer than this.
Research Interests:
Artificial intelligence
Data Science
Machine Learning
Publications:
Random subspace and random projection nearest neighbor ensembles for high dimensional data
Sampath Deegalla
, Keerthi Walgama, Panagiotis Papapetrou, Henrik Boström
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'Publications'
affiliated with the
Department of Computer Engineering
, which were submitted to the site. To see the full publication profile, visit theResearchGateorGoogle Scholarprofile.
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