Lakindu Induwara Mampitiya
Water Resources Management and Soft Computing Research Laboratory, University of Sri Jayewardenepura, Munster Technological University, University of Wolverhampton
Research areas: Environmental Science · Environmental Engineering · Hydrological Forecasting Using AI · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting
0000-0002-4397-2526
About
Lakindu I. Mampitiya is a PhD researcher at Munster Technological University (MTU), Ireland, with an academic background in Electrical and Electronic Engineering. He has over five years of research experience in Artificial Intelligence (AI), environmental and climate modeling, biomedical systems, and data-driven engineering applications.
His research expertise centers on the application of AI and sensor-based systems to real-world engineering challenges, with current work focused on renewable energy systems, energy–environment interactions, and sustainability-driven modeling approaches. His interdisciplinary experience spans air quality modeling, soil thermal analysis, smart sensing systems, biomedical signal processing (EEG and EMG), robotics, and adaptive control systems.
Lakindu has contributed to national and international collaborative research projects in AI-driven environmental, agricultural, and energy-related modeling and has authored peer-reviewed publications in areas such as air and water quality forecasting. His work integrates machine learning, electronics, IoT, and computer vision to support the development of intelligent, resilient, and sustainable engineering solutions.
Employment
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University of Sri Jayewardenepura Assistant Lecturer2025 - 2026
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Water Resources Management and Soft Computing Research Laboratory Research Assistant2023 - Present
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Sri Lanka Institute of Information Technology Department of Information Technology Instructor2023 - 2025
Education
- 2025 - Present
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University of Wolverhampton MSc Data Science2025 - Present
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Sri Lanka Institute of Information Technology BSc. Electrical and Electronic Engineering2019 - 2022
Projects & Funding
Projects & funding information is unavailable.
Publications (13)
- AI-Powered Soil Temperature Modeling for Sustainable Agriculture in Arid Regions: A Case Study of Bustan, Uzbekistan Save
- AI-Driven Forecasting of PM10 Concentrations in the Republic of Ireland: Integrating Machine Learning for Urban Air Quality Prediction Save
- Explainable artificial intelligence to estimate the Sri Lankan (Ceylon) Tea crop yield Save
- Artificial intelligence to evaluate the impact of urban green and blue spaces on chlorophyll-a concentrations Save
- Advancing Water Quality Assessment and Prediction Using Machine Learning Models, Coupled with Explainable Artificial Intelligence (XAI) Techniques Like Shapley Additive Explanations (SHAP) For Interpreting the Black-Box Nature Save
- Artificial intelligence to predict soil temperatures by development of novel model Save
- Forecasting PM10 levels in Sri Lanka: A comparative analysis of machine learning models PM10 Save
- Performance of machine learning models to forecast PM10 levels Save
- Machine Learning Techniques to Predict the Air Quality Using Meteorological Data in Two Urban Areas in Sri Lanka Save
- Efficient and Low-Cost Skin Cancer Detection System Implementation with a Comparative Study Between Traditional and CNN-Based Models Save
- Performance Comparison of Sea Fish Species Classification using Hybrid and Supervised Machine Learning Algorithms Save
- An Efficient Ocular Disease Recognition System Implementation using GLCM and LBP based Multilayer Perception Algorithm Save
- Classification of Human Emotions using Ensemble Classifier by Analysing EEG Signals Save