Department of Civil Engineering & Construction

Research output

Research output per year 2004 2023 2024 2024

• 715 Citations
• 14 h-index
• 102 Article
• 31 Conference contribution
• 6 Review article
• 4 Paper
• 8 More
  • 3 Conference article
  • 2 Chapter
  • 2 Comment/debate
  • 1 Letter

Research output per year

Research output per year

Search results

• 2024

  A comprehensive review on smart and sustainable agriculture using IoT technologies

  Kumar, V., Sharma, K. V., Kedam, N., Patel, A., Kate, T. R. & Rathnayake, U., Aug 2024, In: Smart Agricultural Technology.

  Research output: Contribution to journal › Article › peer-review

• Adapting cities to the surge: A comprehensive review of climate-induced urban flooding

  Dharmarathne, G., Waduge, A. O., Bogahawaththa, M., Rathnayake, U. & Meddage, D. P. P., Jun 2024, In: Results in Engineering. 22, 102123.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Urban Flooding 100%
  • Transportation Network 16%
  • Flood Prediction 16%

• 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

  Makumbura, R. K., Mampitiya, L., Rathnayake, N., Meddage, D. P. P., Henna, S., Dang, T. L., Hoshino, Y. & Rathnayake, U., Sep 2024, In: Results in Engineering.

  Research output: Contribution to journal › Article › peer-review

• AI-driven predictions of geophysical river flows with vegetation

  Kumar, S., Agarwal, M., Deshpande, V., Cooper, J. R., Khosravi, K., Rathnayake, N., Hoshino, Y., Kantamaneni, K. & Rathnayake, U., 16 Jul 2024, In: Scientific Reports.

  Research output: Contribution to journal › Article › peer-review

• A novel deep learning model to predict the soil nutrient levels (N, P, and K) in cabbage cultivation

  Sajindra, H., Abekoon, T., Jayakody, J. A. D. C. A. & Rathnayake, U., Mar 2024, In: Smart Agricultural Technology. 7, 100395.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Transfer Function 100%
  • Soil Nitrogen 100%
  • Soil Nutrient 100%
  • Brassica Oleracea 100%
  • Leaf Area 100%
  1 Citation (Scopus)

• A novel machine learning approach for diagnosing diabetes with a self-explainable interface

  Dharmarathne, G., Jayasinghe, T. N., Bogahawaththa, M., Meddage, D. P. P. & Rathnayake, U., Jun 2024, In: Healthcare Analytics. 5, 100301.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Machine Learning 100%
  • Machine Learning Approach 100%
  • Decision-Making Process 100%
  • Decision Model 100%
  • Classification Models 50%
  4 Citations (Scopus)

• Artificial intelligence to predict soil temperatures by development of novel model

  Mampitiya, L., Rozumbetov, K., Rathnayake, N., Erkudov, V., Esimbetov, A., Arachchi, S., Kantamaneni, K., Hoshino, Y. & Rathnayake, U., 30 Apr 2024, In: Scientific Reports.

  Research output: Contribution to journal › Article › peer-review

• Assessments of Heavy Metal Contaminants in the Drenica River and Bioremediation by <i>Typha angustifolia</i>

  Fetoshi, O., Koto, R., Sallaku, F., Çadraku, H., Rizani, S., Bytyçi, P., Nuha, D., Đurin, B., Durmishi, B., Haziri, V., Feka, F., Haziri, S. S., Rathnayake, U. & Dogancic, D., 7 Sep 2024, In: Hydrology.

  Research output: Contribution to journal › Article › peer-review

• Data exploration on the factors associated with cost overrun on social housing projects in Trinidad and Tobago

  Chadee, A. A., Allis, C., Rathnayake, U., Martin, H. & Azamathulla, H. M., Feb 2024, In: Data in Brief. 52, 109966.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Fuzzy Logic 100%
  • Project Manager 100%
  • Analysed Data 100%
  • Data Exploration 100%
  • Development Project 100%

• Dataset used to develop soft computing models that predict the stiffness modulus of bituminous mixtures

  Leon, L. P., Martin, H., Rathnayake, U. & Felix, P., Jun 2024, In: Data in Brief. 54, 110382.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Bituminous Mixture 100%
  • Tensile Stiffness 66%
  • Asphalt Content 66%
  • Concrete Mix 33%
  • Asphalt Binder 33%

• Development of intensity-duration-frequency curves for Sri Lanka using satellite-based precipitation products – Understanding environmental conditions and concerns

  Zoysa, S. D., Sirisena, J., Perera, H., Fernando, S., Gunathilake, M. & Rathnayake, U., Jun 2024, In: Case Studies in Chemical and Environmental Engineering. 9, 100713.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Sri Lanka 100%
  • Rain Gage 37%
  • TRMM 37%
  • Precipitation Intensity 37%
  • Artificial Neural Network 25%

• Drip irrigation on productivity, water use efficiency and profitability of turmeric (Curcuma longa) grown under mulched and non-mulched conditions

  M, J., Bosu, S. S., Kantamaneni, K., Rathnayake, U. & U, S., Jun 2024, In: Results in Engineering. 22, 102018.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Water Use Efficiency 100%
  • Drip Irrigation 100%
  • Curcuma Longa 100%
  • Turmeric 100%
  • India 66%

• Efficient functioning of a sewer system: application of novel hybrid machine learning methods for the prediction of particle Froude number

  Kumar, S., Kirar, B., Agarwal, M., Deshpande, V. & Rathnayake, U., 1 Aug 2024, In: Journal of Hydroinformatics.

  Research output: Contribution to journal › Article › peer-review

• Estuarine Management and Technologies: A way forward for estuarine research

  Haddout, S., Priya, K. L., Casila, J. C. C., Hoguane, A. M., Ljubenkov, I., Israelsson, P. H., Kantamaneni, K., Junior, O. C., Kurniawan, T. A., Rathnayake, U., Khajenoori, L., Esteban, M. D., Zhang, J., Hait, S., Soeprobowati, T. R. & Tümerkan, E. T. A., 25 Jan 2024, In: Estuarine Management and Technologies.

  Research output: Contribution to journal › Article › peer-review

• Evidence of climate change - Investigating glacial terminus and lake inventory using earth observation data for mountainous Bhutan

  Sajan, B., Kanga, S., Singh, S. K., Rai, P. K., Đurin, B., Cetl, V. & Rathnayake, U., Dec 2024, In: Science of Remote Sensing.

  Research output: Contribution to journal › Article › peer-review

• Explainable artificial intelligence for fitness prediction of young athletes living in unfavorable environmental conditions

  Sandamal, K., Arachchi, S., Erkudov, V. O., Rozumbetov, K. U. & Rathnayake, U., Sep 2024, In: Results in Engineering.

  Research output: Contribution to journal › Article › peer-review

• Exploring Granular Filter Media in Sustainable Drainage Systems (SuDS) for Stormwater PollutantAdsorption: A Pilot Study

  Tota-Maharaj, K., Karunanayake, C., Cheddie, D., Azamathulla, H. M. & Rathnayake, U., Sep 2024, In: Chemical Engineering Research and Design.

  Research output: Contribution to journal › Article › peer-review

• Forecasting of time-dependent scour depth based on bagging and boosting machine learning approaches

  Kumar, S., Oliveto, G., Deshpande, V., Agarwal, M. & Rathnayake, U., 1 Aug 2024, In: Journal of Hydroinformatics.

  Research output: Contribution to journal › Article › peer-review

• Forecasting particle Froude number in non-deposition scenarios within sewer pipes through hybrid machine learning approaches

  Kumar, S., Deshpande, V., Agarwal, M. & Rathnayake, U., Jun 2024, In: Results in Engineering.

  Research output: Contribution to journal › Article › peer-review

• Forecasting PM10 levels in Sri Lanka: A comparative analysis of machine learning models PM10

  Mampitiya, L., Rathnayake, N., Hoshino, Y. & Rathnayake, U., Feb 2024, In: Journal of Hazardous Materials Advances. 13, 100395.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Machine Learning 100%
  • Sri Lanka 100%
  • Atmospheric Aerosol 75%
  • Artificial Neural Network 25%
  • State of the Art 25%
  3 Citations (Scopus)

• Forecasting the power generation at renewable power plants in Sri Lanka using regression trees

  Jayasinghe, J., Ekanayake, P., Panahatipola, O., Madhushani, C. I. & Rathnayake, U., Jun 2024, In: Results in Engineering. 22, 102111.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Renewable Power Plant 100%
  • Power Generation 100%
  • Fossil Fuel 100%
  • Hydro Power 25%

• Geospatial assessment of a severe flood event in the Nilwala River basin, Sri Lanka

  Madhushani, C. I., Makumbura, R. K., Basnayake, V., Pawar, U., Azamathulla, H. M. & Rathnayake, U., Aug 2024, In: Sustainable Water Resources Management.

  Research output: Contribution to journal › Article › peer-review

• Image processing techniques to identify tomato quality under market conditions

  Abekoon, T., Sajindra, H., Jayakody, J. A. D. C. A., Samarakoon, E. R. J. & Rathnayake, U., Mar 2024, In: Smart Agricultural Technology. 7, 100433.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Postharvest 100%
  • Maturity Stage 66%
  • Harvest Date 66%
  • Agricultural Science 33%
  • Neural Network 33%

• In-depth simulation of rainfall–runoff relationships using machine learning methods

  Fuladipanah, M., Shahhosseini, A., Rathnayake, N., Azamathulla, H. M., Rathnayake, U., Meddage, D. P. P. & Tota-Maharaj, K., 1 Jun 2024, In: Water Practice & Technology.

  Research output: Contribution to journal › Article › peer-review

• Integrating explainable machine learning and user-centric model for diagnosing cardiovascular disease: A novel approach

  Dharmarathne, G., Bogahawaththa, M., Rathnayake, U. & Meddage, D. P. P., Sep 2024, In: Intelligent Systems with Applications.

  Research output: Contribution to journal › Article › peer-review

• Integrating Indicators in Agricultural Vulnerability Assessment to Climate Change

  Janani, H. K., Karunanayake, C., Gunathilake, M. B. & Rathnayake, U., 15 May 2024, In: Agricultural Research.

  Research output: Contribution to journal › Article › peer-review

• Justifying the prediction of major soil nutrients levels (N, P, and K) in cabbage cultivation

  Abekoon, T., Sajindra, H., Buthpitiya, B. L. S. K., Rathnayake, N., Meddage, D. P. P. & Rathnayake, U., Jun 2024, In: MethodsX.

  Research output: Contribution to journal › Article › peer-review

• Mangrove mapping and monitoring using remote sensing techniques towards climate change resilience

  Sunkur, R., Kantamaneni, K., Bokhoree, C., Rathnayake, U. & Fernando, M., Dec 2024, In: Scientific Reports. 14, 1, 6949.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Climate Change 100%
  • Remote Sensing 100%
  • Geographic Information Systems 25%
  • Human Activity 25%
  • Good and Service 25%

• Mapping of groundwater potential zones in a drought prone Marathwada Region using frequency ratio and statistical index methods, India

  Pawar, U., Suppawimut, W. & Rathnayake, U., Jun 2024, In: Results in Engineering. 22, 101994.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • India 100%
  • Piedmont 100%
  • Water Scarcity 50%
  • Land Use 50%
  • Land Cover 50%

• Modeling streamflow in non-gauged watersheds with sparse data considering physiographic, dynamic climate, and anthropogenic factors using explainable soft computing techniques

  Madhushani, C., Dananjaya, K., Ekanayake, I. U., Meddage, D. P. P., Kantamaneni, K. & Rathnayake, U., Mar 2024, In: Journal of Hydrology. 631, 130846.

  Research output: Contribution to journal › Article › peer-review

  • Streamflow 100%
  • Climate Dynamics 100%
  • Anthropogenic Factor 100%
  • Machine Learning 62%
  • Early Warning System 25%
  4 Citations (Scopus)

• Nanoadsorbents as an effective wastewater treatment candidate for pharmaceutical contaminants; towards sustainable policy development

  Anoob, F., Arachchi, S., Azamathulla, H. M., Al-mahbashi, N. & Rathnayake, U., Jun 2024, In: Case Studies in Chemical and Environmental Engineering. 9, 100639.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Carbon Nanotube 100%
  • Wastewater Treatment 100%
  • Body Water 100%
  • Carbon Nanotubes 100%
  • Water Treatment 50%
  2 Citations (Scopus)

• On the diagnosis of chronic kidney disease using a machine learning-based interface with explainable artificial intelligence

  Dharmarathne, G., Bogahawaththa, M., McAfee, M., Rathnayake, U. & Meddage, D. P. P., Jun 2024, In: Intelligent Systems with Applications.

  Research output: Contribution to journal › Article › peer-review

• Optimization and characterization of paddy stalks-based activated carbon by physical activation: Box-Behnken design approach

  Al-mahbashi, N. M. Y., Kutty, S. R. M., Jagaba, A. H., Rathnayake, U., Hagar, H. S., Al-Dhawi, B. N. S. & Al-Shawesh, G. A. M., May 2024, In: Nano-Structures and Nano-Objects. 38, 101155.

  Research output: Contribution to journal › Article › peer-review

  • Activated Carbon 100%
  • Heating Rate 50%
  • Atmospheric Aerosol 16%
  • Physicochemical Characterization 16%
  • Rate of Heating 16%

• Performance of machine learning models to forecast PM10 levels

  Mampitiya, L., Rathnayake, N., Hoshino, Y. & Rathnayake, U., Jun 2024, In: MethodsX. 12, 102557.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Machine Learning 100%
  • Machine Learning Technique 100%
  • Primary Research 50%
  • Superior Performance 50%
  • Comparative Analysis 50%
  2 Citations (Scopus)

• Rainfall erosivity assessment over a flooding basin, Kelani River basin, Sri Lanka

  Niyas, Z., Madhushani, C. I., Gunathilake, M. B., Basnayaka, V., Kantamaneni, K. & Rathnayake, U., 1 Jun 2024, In: Journal of Hydroinformatics.

  Research output: Contribution to journal › Article › peer-review

• Rainfall-runoff-inundation (RRI) model for Kalu River, Sri Lanka

  Herath, R. D., Pawar, U., Aththanayake, D. M., Siriwardhana, K. D., Jayaneththi, D. I., Palliyaguru, C., Gunathilake, M. B. & Rathnayake, U., Apr 2024, In: Modeling Earth Systems and Environment. 10, 2, p. 1825-1839 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Sri Lanka 100%
  • Climate Change 33%
  • Human Activity 33%
  • River Basin 33%
  • Developing Country 33%

• Spatial mapping and analysis of forest fire risk areas in Sri Lanka – Understanding environmental significance

  Makumbura, R. K., Dissanayake, P., Gunathilake, M. B., Rathnayake, N., Kantamaneni, K. & Rathnayake, U., Jun 2024, In: Case Studies in Chemical and Environmental Engineering. 9, 100680.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Forest Fire 100%
  • Remote Sensing 12%
  • Land Use 12%
  • Forest Resource 12%

• The impact of unfavorable and toxic environmental conditions on autonomic tone modulations while wearing N95 face masks

  Erkudov, V., Pugovkin, A., Rozumbetov, K., Matchanov, A., Arachchi, S. & Rathnayake, U., Jun 2024, In: Case Studies in Chemical and Environmental Engineering. 9, 100619.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • N95 Respirator 100%
  • Cohort Study 100%
  • Face 100%
  • Heart Rate Variability 100%
  • Heavy Metal 100%

• Unravelling Flood Risk in the Rel River Watershed, Gujarat using Coupled Earth Observations, Multi Criteria Decision Making and Google Earth Engine

  Jodhani, K. H., Patel, D., Madhavan, N., Gupta, N., Singh, S. K. & Rathnayake, U., Sep 2024, In: Results in Engineering.

  Research output: Contribution to journal › Article › peer-review
• 2023

  Analysis of Multi-Temporal Shoreline Changes Due to a Harbor Using Remote Sensing Data and GIS Techniques

  Zoysa, S., Basnayake, V., Samarasinghe, J. T., Gunathilake, M. B., Kantamaneni, K., Muttil, N., Pawar, U. & Rathnayake, U., May 2023, In: Sustainability (Switzerland). 15, 9, 7651.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Shoreline Change 100%
  • Geographic Information System 100%
  • Remote Sensing 100%
  • Sri Lanka 75%
  • Coastal Management 50%
  2 Citations (Scopus)

• An Artificial Neural Network for Predicting Groundnut Yield Using Climatic Data

  Sajindra, H., Abekoon, T., Wimalasiri, E. M., Mehta, D. & Rathnayake, U., Dec 2023, In: AgriEngineering. 5, 4, p. 1713-1736 24 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Mean-Squared-Error 100%
  • Artificial Neural Network 100%
  • Hidden Layer 66%
  • Pearsons Linear Correlation Coefficient 66%
  • Natural Logarithm 66%
  3 Citations (Scopus)

• A novel explainable AI-based approach to estimate the natural period of vibration of masonry infill reinforced concrete frame structures using different machine learning techniques

  Thisovithan, P., Aththanayake, H., Meddage, D. P. P., Ekanayake, I. U. & Rathnayake, U., Sep 2023, In: Results in Engineering. 19, 101388.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Artificial Intelligence 100%
  • Reinforced Concrete 100%
  • Natural Period 100%
  • Frame Structure 100%
  • Machine Learning Technique 100%
  9 Citations (Scopus)

• A Performance-Based Design Framework for Enhanced Asphalt Concrete in the Caribbean Region

  Leon, L. P., Roopnarine, K., Azamathulla, H. M., Chadee, A. A. & Rathnayake, U., Jul 2023, In: Buildings. 13, 7, 1661.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Asphalt Concrete 100%
  • Mixing Design 100%
  • Asphalt Concrete Mixture 22%
  • Permanent Deformation 22%
  • Asphalt Pavements 22%

• Application of the Weighted Arithmetic Water Quality Index in Assessing Groundwater Quality: A Case Study of the South Gujarat Region

  Patel, D. D., Mehta, D. J., Azamathulla, H. M., Shaikh, M. M., Jha, S. & Rathnayake, U., Oct 2023, In: Water (Switzerland). 15, 19, 3512.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Groundwater 100%
  • Magnesium 100%
  • Fluoride 100%
  • Potable Water 100%
  • Surface Water 25%
  5 Citations (Scopus)

• A Simplified Equation for Calculating the Water Quality Index (WQI), Kalu River, Sri Lanka

  Siriwardhana, K. D., Jayaneththi, D. I., Herath, R. D., Makumbura, R. K., Jayasinghe, H., Gunathilake, M. B., Azamathulla, H. M., Tota-Maharaj, K. & Rathnayake, U., Aug 2023, In: Sustainability (Switzerland). 15, 15, 12012.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Human Activity 100%
  • Sri Lanka 100%
  • Water Resource 50%
  • Potable Water 50%
  • Human Health 50%
  4 Citations (Scopus)

• Assessment of youth fitness under long-term exposure to toxic environmental conditions due to pesticides: Case from Aral Sea region

  Erkudov, V. O., Rozumbetov, K. U., Pugovkin, A. P., Matchanov, A. T., Esimbetov, A. T., Arachchi, S. & Rathnayake, U., Dec 2023, In: Case Studies in Chemical and Environmental Engineering. 8, 100504.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Long Term Exposure 100%
  • Oxygen Consumption 100%
  • Muscle Strength 66%
  • Endurance 66%
  • Cohort Study 50%

• Cascaded-ANFIS to simulate nonlinear rainfall–runoff relationship

  Rathnayake, N., Rathnayake, U., Chathuranika, I., Dang, T. L. & Hoshino, Y., Nov 2023, In: Applied Soft Computing. 147, 110722.

  Research output: Contribution to journal › Article › peer-review

  • River Flow 100%
  • Streamflow 75%
  • State of the Art 25%
  • Acceptability 25%
  • Sri Lanka 25%
  2 Citations (Scopus)

• Chitin nanocrystals: A promising alternative to synthetic surfactants for stabilizing oil-in-water emulsions

  Hagar, H. S., Jufar, S. R., Lee, J. H., Al-mahbashi, N., Alameen, M. B., Kwon, S., Jagaba, A. H. & Rathnayake, U., Dec 2023, In: Case Studies in Chemical and Environmental Engineering. 8, 100503.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Nanocrystalline Material 100%
  • Surface Active Agent 100%
  • Surfactant 100%
  • Chitin 100%
  • Yield Stress 16%
  5 Citations (Scopus)

• Climate Change and Soil Dynamics: A Crop Modelling Approach

  Wimalasiri, E. M., Sirishantha, D., Karunadhipathi, U. L., Ampitiyawatta, A. D., Muttil, N. & Rathnayake, U., Dec 2023, In: Soil Systems. 7, 4, 82.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Climate Change 100%
  • Soil Dynamics 100%
  • Agricultural Production 20%
  • Fieldwork 20%
  • Environmental Impact Assessment 20%

• Comparative analysis of CMIP5 and CMIP6 in conjunction with the hydrological processes of reservoir catchment, Chhattisgarh, India

  Verma, S., Kumar, K., Verma, M. K., Prasad, A. D., Mehta, D. & Rathnayake, U., Dec 2023, In: Journal of Hydrology: Regional Studies. 50, 101533.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • India 100%
  • Coupled Model Intercomparison Project Phase 6 100%
  • CMIP 100%
  • General Circulation Model 57%
  • Water Demand 42%
  8 Citations (Scopus)