UR
Upaka Rathnayake
Also known as: Upaka Rathnayake
Atlantic Technological University, Sri Lanka Institute of Information Technology, University of Strathclyde, Hokkaido University, University of Peradeniya
About
Upaka Rathnayake is a Professor of Civil Engineering at ATU, Sligo, Ireland. He is a specialist on multi-objective optimization strategies on Urban sewer systems. He is working on several research projects in parallel, including optimal control of urban water systems, soft computing techniques on water resources and impact of climate change on water resources.
Employment
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Atlantic Technological University Faculty Member2023 - Present
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Sri Lanka Institute of Information Technology Associate Professor2014 - 2023
Education
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University of Strathclyde PhD2009 - 2013
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Hokkaido University PG Diploma in Sustainability Science2008 - 2009
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Hokkaido University MEnG2007 - 2009
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University of Peradeniya BSc (Eng)2001 - 2006
Projects & Funding
Projects & funding information is unavailable.
Publications (232)
- Effectiveness of Rolling-Sum Preprocessing in River Mouth Water Depth Prediction Using Machine Learning Save
- Non-destructive assessment of watermelon internal quality using image processing, machine learning, and smartphone-based decision support Save
- Anthropogenic drivers of algal regime shifts in a Himalayan watershed and pathways for nature-based solutions Save
- Ensuring Turmeric Authenticity: A Web-Based AI Approach for Detecting Rice Flour Adulteration Save
- AI-Driven Forecasting of PM10 Concentrations in the Republic of Ireland: Integrating Machine Learning for Urban Air Quality Prediction Save
- Seasonal and Spatial Assessment of Heavy Metal Contamination in Groundwater in the Republic of Kosovo Save
- Nature-Based Solutions: Evaluation of Natural Plant-Derived Coagulants for Sustainable Water Treatment Save
- Wavelets to detect trends and variability of mini hydropower generations—Insights from Sri Lanka Save
- Electrocoagulation as an effective all-in-one wastewater treatment: a critical review Save
- Diagnosis of Low-Carbon Permeable Pavements: Bearing Capacity and Long-Term Clogging Behaviour Save