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 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
Research projects supervised by Dr. Eng. Sampath Deegalla:
Food Recommendation System Using Machine Learning for Diabetic Patients
cricket analysis
sports action recognition
Please note that here only contain the 'Projects' which were
submitted to the
projects.ce.pdn.ac.lk
as Final Year Research
Projects. The actual list of projects supervised by Dr. Eng. Sampath Deegalla 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
Please note that here only contain the 'Publications' affiliated with the
Department of Computer Engineering, which were submitted to the site. To
see the full publication profile, visit theResearchGateorGoogle
Scholarprofile.