+94 11 754 4801
info@sliit.lkCAREER SUMMARY
- Currently working as a lecturer in the Electrical and Electronic Engineering Department at SLIIT.
- Former Assistant Telecommunication Engineer at Mobitel.
- Former Assistant Research Engineer at JLanka Research and Development.
ACADEMIC QUALIFICATIONS
- Doctor of Philosophy (Ph.D.) in the field of Computer Vision and Artificial Intelligence.
- Second Class Honours degree in the field of Electrical and Electronic Engineering.
HONOURS AND AWARDS
- Research Excellence award for publishing in the top 10% Scopus-indexed journals for 2023.
- Second Runner-Up Award for an Undergraduate Research Project in 2023 at the Manamperi Awards.
- Second Class Honours in Electrical and Electronic Engineering.
RESEARCH INTERESTS AND MEMBERSHIP
Research Interests
- Deep Learining
- Machine Learning
- Big Data Analytics
- IoT based research
- Image Processing
- Biomdeical Engineering
Memberships
- External Researcher at the University of Oxford, UK.
- External Research Collaborator at the University of Applied Science and Arts Southern Switzerland (SUPSI), Switzerland.
RESEARCH CLUSTERS
Advanced AI Applications in Engineering
"The ""Advanced AI Applications in Engineering"" research group focuses on integrating cutting-edge artificial intelligence techniques across various engineering fields, including electrical and electronics, telecommunications, civil, mechanical, mechatronics, and biomedical engineering. The group aims to address complex real-world challenges by applying AI to optimize system performance, enhance energy efficiency, and improve automation.
Key areas of research include AI-driven system design, signal processing, smart infrastructure, autonomous systems, biomedical diagnostics, and intelligent manufacturing. Through interdisciplinary collaboration, the group seeks to advance AI-driven innovations that contribute to smarter, more resilient, and efficient engineering solutions."
Computer Vision - Industrial Automation
"Developing cutting-edge vision-based automation and assistive robotics to enhance industrial efficiency, safety, and human-machine collaboration.
ONGOING RESEARCH
- Developing a computer vision-based tool for assessing Parkinson's disease, benchmarked against the UPDRS rating scale.
- Developing an algorithm to detect dynamic and static objects to ensure safe navigation in vision-based automated navigation systems.
PUBLICATIONS
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Diagnostic Support System for Pneumonia Detection and Lung Disease Assessment from Chest X-rays
Cheneli Anne Jayawardena, Nushara Wedasingha, Nival Kolambage, and Shehan Perera, “The Journal of Advances in Engineering and Technology (JAET)” (SLIIT International Conference on Engineering and Technology) , pp. 1-13
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Autoencoder-Based Data Clustering for Identifying Anomalous Repetitive Hand Movements, and Behavioral Transition Patterns in Children
Nushara Deshith Wedasingha, Pradeepa Samarasinghe, Lasantha Senevirathe, Michela Papandrea, Alessandro Puiatti, “Physical and Engineering Sciences in Medicine” , pp. 1-27
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Efficient Path Estimation via Sensor Fusion of IMU, GPS, and Wheel Encoder and Control Parameter Optimization
Nisal Weerasinghe, Nushara Wedasingha, and Lasantha Senevirathne, (6th INTERNATIONAL CONFERENCE ON ADVANCEMENTS IN COMPUTING)
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Advancing Object Detection: An Exploration of Evolving Techniques and Navigation
Shanelle Tennekoon, Nushara Wedasingha, Anuradhi welhenge, Nimsiri Abhayasinghe, and Iain Murray, “IEEE Access” , pp. 1-19
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Object Recognition and Assistance System for Visually Impaired Shoppers}
Shanelle Tennekoon, Nimsiri Abhayasinghe, Nushara Wedasingha, (SLIIT International Conference on Engineering and Technology)
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Auto-tracking Camera for Hybrid Teaching Settings
Chandrasekara, Senal and Abeysinghe, Nimsiri and Silva, Chamara and Wedasingha, Nushara and De Silva, Subhashini, (SLIIT International Conference on Engineering and Technology)
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Auto-encoder based Repetitive Child Hand Movement Pattern Identification
Nushara Wedasingha, Pradeepa Samarasinghe, Lasantha Senevirathne, Michela Papandrea, and Alessandro Puiatti, (IEEE TECHNOLOGY AND ENGINEERING MANAGEMENT SOCIETY CONFERENCE: ASIA-PACIFIC)
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Identifying Repetitive Patterns in Typical and Atypical Child Hand Movements Through Skeleton and Image-based Auto-Encoders
Nushara Wedasingha, Pradeepa Samarasinghe, Lasantha Senevirathne, Michela Papandrea, and Alessandro Puiatti, “Applied Intellignece”
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Skeleton Based Periodicity Analysis of Repetitive Actions
ND Wedasingha, P Samarasinghe, L Seneviratne, M Papndrea, A Puiatti, (2022 IEEE 7th International conference for Convergence in Technology (I2CT))
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Child Head Gesture Classification through Transformers
ND Wedasingha, P Samarasinghe, L Seneviratne, M Papndrea, A Puiatti, (Tencon 2022 Tech-Biz Intelligence)
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Children’s Behavior Analysis Through Smart Toys
Wedasingha.N ,V. Ramesha, M. D., Kavindi, M. V., Somawansa, R. P., Yadav, A., Samarasinghe, P., & Jayasinghearachchi, (Tencon 2022 Tech-Biz Intelligence)
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Automated anomalous child repetitive head movement identification through transformer networks
ND Wedasingha, P Samarasinghe, L Seneviratne, M Papndrea, A Puiatti, “Physical and Engineering Sciences in Medicine” , pp. 1-19
