CAREER SUMMARY
- Instructor
Department of Mechanical Engineering (Mechatronics),
Faculty of Engineering, Sri Lanka Institute of Information Technology
ACADEMIC QUALIFICATIONS
B.Sc. (Hons) in Electrical and Electronic Engineering
RESEARCH INTERESTS AND MEMBERSHIP
Research Interests
- Paralyze Rehabilitation
- Machine Learning
- Brain Computer Interfaces
- EEG based human interactions
- Human interacted Robots
- Causality Inference and Discovery
- Environmental AI applications
- Air Quality Forecasting
Memberships
IMechE (Institution of Mechanical Engineers)
MY PUBLICATIONS
Journal Publications
- Lakindu Induwara Mampitiya, Namal Rathnayake, Yukinobu Hoshino, Upaka Rathnayake "Performance of machine learning models to forecast PM10 levels"
- Lakindu Induwara Mampitiya, Namal Rathnayake, Yukinobu Hoshino, Upaka Rathnayake "Forecasting PM10 Levels in Sri Lanka: A Comparative Analysis of Machine Learning Models"
- Lakindu Mampitiya , Namal Rathnayake , Lee P. Leon, Vishwanadham Mandala , Hazi Md. Azamathulla ,Sherly Shelton , Yukinobu Hoshino, Upaka Rathnayake. "Machine Learning Techniques to Predict the Air Quality Using Meteorological Data in Two Urban Areas in Sri Lanka"
- Lakindu Induwara Mampitiya, Namal Rathnayake, Subashini de Silva "Efficient and Low-Cost Skin Cancer Detection System Implementation with a Comparative Study Between Traditional and CNN-Based Models"
- Lakindu Induwara Mampitiya, Rizma Nalmi, Namal Rathnayake "Performance Comparison of Sea Fish Species Classification using Hybrid and Supervised Machine Learning Algorithms"
- Lakindu Induwara Mampitiya, Namal Rathnayake "An Efficient Ocular Disease Recognition System Implementation using GLCM and LBP based Multilayer Perception Algorithm"
- Lakindu Induwara Mampitiya, Rizma Nalmi, Namal Rathnayake "Classification of Human Emotions using Ensemble Classifier by Analysing EEG Signals"
- Lakindu Mampitiya, Kenjabek Rozumbetov, Namal Rathnayake, Valery Erkudov, Adilbay Esimbetov, Shanika Arachchi, Komali Kantamaneni, Yukinobu Hoshino & Upaka Rathnayake "Artificial intelligence to predict soil temperatures by development of novel model"
