- BSc (Hons) in Mechatronics Engineering (KDU) (First Class).
1. Indoor Human Following Assistive Robot with Fall Detection Capability for the Elderly and the Differently abled (December 2021 – December 2022).
2. A Wearable Device to Assist the Visually Impaired Community (Jan 2021 – Jun 2021).
3. Design and Development of a Robotic Platform to automate the Process of Drying and Disinfecting Wet Floors in Regular Household with the Aid of Maze Solving Robotic Technology (May 2020 – October 2020).
4. A Knowledge Base Assistive Artificial Intelligence for Home Automation (Jan 2020 – Jun 2020).
1. Merit Award at the Manamperi Awards, Sri Lanka Association for the Advancement of Science (SLAAS), 2023
2. Best Poster Presentation, 16th International Research Conference, General Sir John Kotelawala Defence University, September 2023.
3. Vice Chancellor’s List Scholarship (Year 2 – 2020, Year 4 – 2022)
4. Dean’s List Scholarship (Year 1 - 2019, Year 3 – 2021)
5. Final Year Project:
6. Cambridge G. C. E. Advanced Level examination performance:
S. Seneviratne, J. Zoysa, S. Senarathne, C. Padmasiri, P. Pallemulla “Indoor Human Following Assistive Robot with Fall Detection Capability for the Elderly and Differently Abled”, 16th International Research Conference of General Sir John Kotelawala Defence University, 2023.
S. Seneviratne, J. Zoysa, S. Senarathne, C. Padmasiri, S. Pallemulla. 2023. Method for fall detection using a human-following assistive autonomous machine. National Patent LK/P/1/22811, filed August 31, 2023. (PATENT PENDING)
1. IEEE Workshop on Search Strategies to Maximize Research Experience, March 2023.