Dr. Eng. Sampath Deegalla

Admin

Dr. Eng. Sampath Deegalla

Senior Lecturer

BIO

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.

Educational Qualifications:
  • Ph.D. in Computer and Systems Sciences (Stockholm)
  • Ph.Lic. in Computer and Systems Sciences (Stockholm)
  • B.Sc. Eng. in Computer Engineering (Peradeniya)
Awards and Honours:
  1. Faculty Research Excellence Awards, Faculty of Engineering, University of Peradeniya, 2022.
  2. Big Data Workshop Scholarships (ICIIS 2017) to attend Joint Indo – Sri Lanka Workshop on Big Data Analytics: Recent Trends and Applications workshop, 2017
  3. Travel Grant to participate TEIN4Workshop on Next Generation Sequencing and Big Data Analysis, 2015
  4. NSF International Travel Grant, 2012
Available for Supervision:
  • Yes
Research projects supervised by Dr. Eng. Sampath Deegalla:
Integrating Neuro Symbolic AI for Pneumonia Diagnosis from Chest X trays
Integrating Neuro Symbolic AI for Pneumonia Diagnosis from Chest X trays
Multi Modal Data Fusion for Trading Market Price Forecasting
Multi Modal Data Fusion for Trading Market Price Forecasting
Food Recommendation System Using Machine Learning for Diabetic Patients
Food Recommendation System Using Machine Learning for Diabetic Patients
cricket analysis
cricket analysis
sports action recognition
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
    Elsevier Expert systems with applications, 2022
    doi: 10.1016/j.eswa.2021.116078
    [ PDF ][ PDF (Preprint) ]
    #Nearest neighbor ensemble#High dimensional data#Random subspace method#Random projection method
  • Identifying the optimal set of attributes that impose high impact on the end results of a cricket match using machine learning
    Pranavan Somaskandhan, Gihan Wijesinghe, Leshan Bashitha Wijegunawardana, Asitha Bandaranayake , Sampath Deegalla
    2017 IEEE International Conference on Industrial and Information Systems (ICIIS), 2017
    doi: 10.1109/ICIINFS.2017.8300399
    #Sports equipment#Data mining#Measurement#Support vector machines#Statistical analysis#Games#Relational databases
  • Accelerating k-nn classification algorithm using graphics processing units
    S Selvaluxmiy, TN Kumara , P Keerthanan, R Velmakivan, R Ragel , S Deegalla
    2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS), 2016
    doi: 10.1109/ICIAFS.2016.7946528
    #Graphics processing units#Message systems#Kernel#Training#Prediction algorithms#Machine learning algorithms#Testing
  • Performance evaluation techniques for an automatic question answering system
    Tilani Gunawardena, Nishara Pathirana, Medhavi Lokuhetti, Roshan Ragel , Sampath Deegalla
    International Journal of Machine Learning and Computing, 2015
    doi: 10.7763/IJMLC.2015.V5.523
    [ PDF ]
    #Evaluation technique#question answering#NLP#template matching#FAQ#answering system
  • Feasibility of using machine learning to access control in Squid proxy server
    Kanchana Ihalagedara, Rajitha Kithuldeniya, Supun Weerasekara, Sampath Deegalla
    2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS), 2015
    doi: 10.1109/ICIINFS.2015.7399061
    #Manuals#XML#Static VAr compensators
  • Students behavioural analysis in an online learning environment using data mining
    IP Ratnapala, RG Ragel , S Deegalla
    7th International Conference on Information and Automation for Sustainability, 2014
    doi: 10.1109/ICIAFS.2014.7069609
    [ PDF (Preprint) ]
    #Data mining#Data visualization#Electronic learning#Clustering algorithms#Materials#Least squares approximations#Databases
  • Fusion of Colour, Shape and Texture Features for Content Based Image Retrieval
    Pratheep Anantharatnasamy, Kaavya Sriskandaraja, Vahissan Nandakumar, Sampath Deegalla
    8th International Conference on Computer Science and Education (ICCSE), 2013
    doi: 10.1109/ICCSE.2013.6553949
    #Accuracy#Classification algorithms#Computers#Arrays#Image edge detection
  • Personalized and adaptive user interface framework for mobile application
    Mahasivam Nivethika, Ilanthalaisingam Vithiya, Sebastiankularatnam Anntharshika, Sampath Deegalla
    2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2013
    doi: 10.1109/ICACCI.2013.6637474
    #User interfaces#Engines#Mobile communication#Context#Rendering (computer graphics)#Androids#Humanoid robots
  • AntiPlag: Plagiarism detection on electronic submissions of text based assignments
    MAC Jiffriya, MAC Akmal Jahan, Roshan G Ragel , Sampath Deegalla
    2013 IEEE 8th International Conference on Industrial and Information Systems, 2013
    doi: 10.1109/ICIInfS.2013.6732013
    [ PDF (Preprint) ]
    #Plagiarism#Clustering algorithms#Educational institutions#Information systems#Detectors#Computers#Conferences

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 the ResearchGate or Google Scholar profile.