+94 11 754 4801
info@sliit.lk
CAREER SUMMARY
- Lasantha Seneviratne is an academic in the field of Electronic Engineering, and has worked as an academic/researcher in several Universities/Institutes and Organisations, including Queen Mary University of London, UK and John Keells Office Automation (Pvt) Ltd. Currently, he is a senior lecturer in Electrical and Computer Engineering at the Faculty of Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka.
- 01/2012 to date – Senior Lecturer in Electrical and Computer Engineering, Faculty of Engineering, Sri Lanka Institute of Information Technology, Sri Lanka.
- 2014 - 2015 – Head of the Department, Electrical and Computer Engineering, Faculty of Engineering, Sri Lanka Institute of Information Technology, Sri Lanka.
- 11/2008 – 09/2011 – Research Associate/ Postdoctoral Fellow in Electrical and Electronic Engineering, Queen Mary University of London, Uk.
- 01/2003 – 09/2004 – Customer Support Executive Technical, Lanka Internet Services (Pvt) Ltd, Colombo, Sri Lanka.
- 01/2001 – 01/2003 - Customer Support Officer Technical, John Keells Office Automations (pvt) Ltd, Colombo, Sri Lanka.
ACADEMIC QUALIFICATIONS
- Ph.D. (QMUL, UK), B.Eng (Hons)
RESEARCH INTERESTS AND MEMBERSHIP
Research Interests
- Vision Based Automation
- Image Stitching
- Automobile Electronics
- Forecasting Algorithms
- Image Annotation
Memberships
- Member of Institute of Electrical and Electronic Engineers Inc. (IEEE)
Research Clusters
Computer Vision - Industrial Automation
"Developing cutting-edge vision-based automation and assistive robotics to enhance industrial efficiency, safety, and human-machine collaboration.
Wireless sensor networks, Vision based tracking, Assistive Robots"
PUBLICATIONS
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Automated Anomalous Child Repetitive Head Movement Identification through Transformer Networks
N. Wedasingha, P. Samarasinghe, L. Seneviratne, M. Papndrea, A. Puiatti,,
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Child Head Gesture Classification through Transformers
N. Wedasingha, L. Senevirathne and M. Papadrea, (In Tencon ieee hong-kong 50th anniversary celebration tech biz intelligence)
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Skeleton based Periodicity Analysis of Multiple Repetitive Actions
N. Wedasingha, L. Senevirathne, M. Papadrea and D. Dhanayake, (In 21st ieee international conference on machine learning and applications)
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Skeleton based Periodicity Analysis of Repetitive Actions
N. Wedasingha, P. Samarasinghe, L. Seneviratne, A. Puiatti, M. Papandrea and D. Dhanayaka, (In ieee 7th international conference for convergence in technology, pp. 1–6)
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Support Vector Machine Based an Efficient and Accurate Seasonal Weather Forecasting Approach with Minimal Data Quantities
S. Chandrasekara, S. Tennekoon, N. Abhayasinghe, and L. Seneviratne, (SLIIT International Conference on Engineering and Technology)
