NAMAL RATHNAYAKE

Advanced Institute for Marine Ecosystem Change Research Division Marine-Earth System Analytics Unit-

  • Project Resercher(II)

Researcher Information

Research Interests

  • Coral Bleaching
  • Prediction and Forecasting
  • Rainfall Runoff
  • Tropical Cyclones
  • Soft Computing
  • Data Assimilation
  • Optimization
  • Robotics
  • Artificial Interligence
  • Machine Learning
  • Fuzzy Logic

Research Areas

  • Informatics, Soft computing, water level projection, future floods, Mahaweli river, comparative analysis, Sri Lanka
  • Environmental science/Agricultural science, Crop production science, age classification, rice seeds, gradient-boosting, ANFIS algorithms, Japan
  • Life sciences, Biomedical engineering, skin cancer detection, CNN-based models, traditional models, low-cost implementation
  • Environmental science/Agricultural science, Environmental load/risk assessment, machine learning techniques, air quality prediction, meteorological data, urban areas, Sri Lanka
  • Environmental science/Agricultural science, Environmental impact assessment, sensitivity analysis, wetland water levels, flood detention basin, Colombo, Sri Lanka
  • Environmental science/Agricultural science, Environmental load/risk assessment, PM10 levels, machine learning models, air quality, Sri Lanka
  • Informatics, Computer systems, hardware image processing, FPGA, appearance inspection systems, latency time evaluation
  • Environmental science/Agricultural science, Environmental load/risk assessment, Spatial mapping, forest fire risk, environmental significance, Sri Lanka
  • Informatics, Soft computing, Fuzzy Logic

Research History

  • Jun. 2025 - Present
    Japan Agency for Marine-Earth Science and Technology, World Premier International Advanced Institute for Marine Ecosystem Change (WPI-AIMEC), Researcher, Researcher (Technology) / Project Researcher (II)
  • Apr. 2023 - May 2025
    The University of Tokyo, The Graduate School of Engineering, Project Researcher

Education

  • Apr. 2020 - Mar. 2023, Kochi University of Technology, Ph.D. in Computer System
  • Jul. 2011 - Jun. 2013, University of Salford, M.Sc. in Robotics and Automation Engineering
  • Jul. 2002 - Jun. 2007, University of Wolverhampton, B.Eng(Hons). in Electronics and Telecommunication
Research activity information

Papers

Books and Other Publications

  • Yukinobu Hoshino; Namal Rathnayake; Tuan Linh Dang; Upaka Rathnayake, Joint work, cascaded-ANFISgradient boostingrainfall-runoff predictionhand gestures predictionimage identificationensemble modelstreamflow prediction
    Cascaded-ANFIS and its Successful Real-World Applications　　　　　　　　　　　　　　　
    IntechOpen, Aug. 2024

Presentations

  • Namal Rathnayake; Upaka Rathnayake; Yukinobu Hoshino
    Complexity of Optimal Control of Combined Sewer Systems and Potential Solutions from Artificial Intelligence　　　　　　　　　　　　　　　
    SUDSnet 2024 - 20th Anniversary Conference, Sep. 2024, [Invited]
  • Namal Rathnayake; Upaka Rathnayake; Yukinobu Hoshino
    Unveiling Key Factors Influencing Student Grades through Explainable AI　　　　　　　　　　　　　　　
    ATU DigitalEd Conference 2024, Sep. 2024, [Invited]
  • Namal Rathnayake; Upaka Rathnayake; Yukinobu Hoshino
    Leveraging Traditional AI and ML for Enhanced Navigation and Exploration Capabilities of Autonomous Underwater Vehicles　　　　　　　　　　　　　　　
    The 8th International Symposium on Frontier Technology (ISFT), Jul. 2024
  • Namal Rathnayake; Masashi Minamide
    Improving Data Assimilation Using Machine Learning: Insights from the Lorenz-96 Model and Ensemble Kalman Filter　　　　　　　　　　　　　　　
    Japan Geoscience Union 2024, 2024
  • M. Utami; Y. Hoshino; N. Rathnayake
    Design and implementation of ANFIS on FPGA and verification with a class classification problem　　　　　　　　　　　　　　　
    International Workshop on Advanced Computational Intelligence and Intelligent Informatics (IWACIII 2023), 2023
  • N. Rathnayake; T. L. Dang; A. Miyazaki; Y. Hoshino
    An efficient approach for age-wise rice seeds classification using SURF-BOF with modified cascaded-ANFIS algorithm　　　　　　　　　　　　　　　
    Fifteenth International Conference on Machine Vision (ICMV 2022), 2023
  • L. I. Mampitiya; N. Rathnayake
    An efficient ocular disease recognition system implementation using GLCM and LBP based multilayer perception algorithm　　　　　　　　　　　　　　　
    2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), 2022
  • L. I. Mampitiya; R. Nalmi; N. Rathnayake
    Performance comparison of sea fish species classification using hybrid and supervised machine learning algorithms　　　　　　　　　　　　　　　
    2022 Moratuwa Engineering Research Conference (MERCon), 2022
  • N. Dohi; N. Rathnayake; Y. Hoshino
    A comparative study for covid-19 cases forecasting with loss function as AIC and MSE in RNN family and ARIMA　　　　　　　　　　　　　　　
    2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS), 2022
  • N. Rathnayake; T. L. Dang; Y. Hoshino
    Performance comparison of the ANFIS-based quad-copter controller algorithms　　　　　　　　　　　　　　　
    2021 IEEE International Conference On Fuzzy Systems (FUZZ-IEEE), 2021
  • L. I. Mampitiya; R. Nalmi; N. Rathnayake
    Streamflow prediction using cascaded-ANFIS algorithm in Kelani river, Sri Lanka　　　　　　　　　　　　　　　
    2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI), 2021
  • N. Rathnayake; T. Linh Dang; Y. Hoshino
    Designing and implementation of novel ensemble model based on ANFIS and gradient boosting methods for hand gestures classification　　　　　　　　　　　　　　　
    Proceedings of the 11th International Symposium on Information and Communication Technology, 2021
  • R. Rathnayake; T. De Silva; C. Rodrigo
    A comparison of the fuzzy logic controller and PID controller for differential drive wall-following mobile robot　　　　　　　　　　　　　　　
    14th Conference on Industrial and Information Systems (ICIIS), 2019
  • R. Rathnayake; L. Seneviratne
    An efficient approach towards image stitching in aerial images　　　　　　　　　　　　　　　
    2018 3rd International Conference on Information Technology Research (ICITR), 2018
  • R. N. Bandara; S. Gaspe
    Fuzzy logic controller design for an unmanned aerial vehicle　　　　　　　　　　　　　　　
    IEEE International Conference on Information and Automation for Sustainability (ICIAfS), 2016

Professional Memberships

  • 2025 - Present
    IEEE