Dr. Eng. Sampath Deegalla is a computer engineering graduate with over 20 years of experience in
research, teaching, and administration. He holds a B.Sc. Eng. in Computer Engineering from the
University of Peradeniya, as well as a Ph.Lic in Computer and Systems Sciences from Stockholm,
Sweden. Currently serving as a senior lecturer, Eng. Sampath Deegalla who is passionate about
educating both undergraduate and postgraduate students.
Dr. Eng. Sampath 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, Information
Technology, and Industrial Mathematics at the Postgraduate Institute of Science, University of
Peradeniya.
Dr. Eng. Sampath 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
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
Please note that here only contain the
'Projects'
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Final Year Research Projects
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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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