+94 11 754 4801
info@sliit.lkCAREER SUMMARY
- Currently working as a Lecturer at the First Year Division, Faculty of Computing
- Worked as an assistant Lecturer at the First Year Division, Faculty of Computing
ACADEMIC QUALIFICATIONS
- B.Sc. (Hons) in Information Technology - Sri Lanka Institute of Information Technology
HONOURS AND AWARDS
- Dean's List - Year 2 and Year 4
- The winners of the e-Swabhimani Digital Social Impact Awards 2020 under two categories: The health and Well-being category and the Youth Award for the application "SAWANATHA - A self-detection hearing loss using Q learning
RESEARCH INTERESTS AND MEMBERSHIP
Research Interests
- Deep Learning
- Machine Learning
- Computer Vision
- Software Engineering
Memberships
- Member of the Institute of Electrical and Electronics Engineers
- Member of National Science Foundation
ONGOING RESEARCH
- Survey on Deep learning-based Autonomous Medical Diagnosis Models for Chronic Disease Identification
PUBLICATIONS
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Sawanatha - A self detection of Hearing Loss Using Q Learning
Thisara Shyamalee, Sachini Senanayake, Dilanka Nayanajith, Suresh Udaya, Jagath Wickramarathne, Disni Sriyaratne, (National Information Technology Conference (NITC))
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CNN Based Fundus Images Classification For Glaucoma Identification
Thisara Shyamalee, Dulani Meedeniya, (International Conference on Advanced Research in Computing (ICARC))
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Attention U-Net for Glaucoma Identification Using Fundus Image Segmentation
Thisara Shyamalee, Dulani Meedeniya, (International Conference on Decision Aid Sciences and Applications (DASA))
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Glaucoma detection with retinal fundus images using segmentation and classification
Thisara Shyamalee, Dulani Meedeniya, “Machine Intelligence Research” , pp. 563-580
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Automated Tool Support for Glaucoma Identification with Explainability Using Fundus Images
Thisara Shyamalee, Dulani Meedeniya, Gilbert Lim, Mihipali Karunarathne, “IEEE Access” , pp. 17290 - 17307
