ラスナヤケ ナマル

基本情報

所属

国立研究開発法人海洋研究開発機構

連絡先

namalhappygmail.com

ORCID iD

https://orcid.org/0000-0002-5235-8552

J-GLOBAL ID

202401014653985408

researchmap会員ID

R000071095

研究キーワード

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

研究分野

• 情報通信 / 計算科学 / Digital Twin of the Ocean
• 情報通信 / ソフトコンピューティング / water level projection, future floods, Mahaweli river, comparative analysis, Sri Lanka
• 環境・農学 / 作物生産科学 / age classification, rice seeds, gradient-boosting, ANFIS algorithms, Japan
• ライフサイエンス / 生体医工学 / skin cancer detection, CNN-based models, traditional models, low-cost implementation
• 環境・農学 / 環境負荷、リスク評価管理 / machine learning techniques, air quality prediction, meteorological data, urban areas, Sri Lanka
• 環境・農学 / 環境影響評価 / sensitivity analysis, wetland water levels, flood detention basin, Colombo, Sri Lanka
• 環境・農学 / 環境負荷、リスク評価管理 / PM10 levels, machine learning models, air quality, Sri Lanka
• 情報通信 / 計算機システム / hardware image processing, FPGA, appearance inspection systems, latency time evaluation
• 環境・農学 / 環境負荷、リスク評価管理 / Spatial mapping, forest fire risk, environmental significance, Sri Lanka
• 情報通信 / ソフトコンピューティング / Fuzzy Logic

経歴

• 2025年6月 - 現在

  国立研究開発法人海洋研究開発機構
• 2023年4月 - 2025年5月

  東京大学, 大学院工学系研究科

学歴

• 2020年4月 - 2023年3月

  高知工科大学
• 2017年7月 - 2019年6月

  University of Salford, M.Sc. in Robotics and Automation Engineering
• 2013年7月 - 2016年6月

  University of Wolverhampton, B.Eng(Hons). in Electronics and Telecommunication

受賞

• 2024年12月

  Best Poster Award, Flow Velocity Analysis of Upstream Rivers Using Farneback Optical Flow and STIV Techniques with Drone Data, The 13th International Symposium on Information and Communication Technology (SOICT2024)
• 2023年3月

  Sakuma Award, Kochi University of Technology, Japan
• 2022年9月

  Best Presentation Award, International Symposium on Computational Intelligence and Industrial Applications
• 2022年1月

  Tateishi Science and Technology Research Grant, Tateishi Science and Technology Foundation
• 2020年4月

  JASSO Scholarship, Japan Student Services Organization
• 2020年4月

  Special Scholarship (SSP), Kochi University of Technology, Japan

主要な論文

• A Novel Optimization Algorithm: Cascaded Adaptive Neuro-Fuzzy Inference System

  Rathnayake, N., Dang, T.L., Hoshino, Y.

  International Journal of Fuzzy Systems 23(7) 1955-1971 2021年

書籍等出版物

• Cascaded-ANFIS and its Successful Real-World Applications

  Yukinobu Hoshino, Namal Rathnayake, Tuan Linh Dang, Upaka Rathnayake (担当:共著, 範囲:cascaded-ANFISgradient boostingrainfall-runoff predictionhand gestures predictionimage identificationensemble modelstreamflow prediction)

  IntechOpen 2024年8月

講演・口頭発表等

• Complexity of Optimal Control of Combined Sewer Systems and Potential Solutions from Artificial Intelligence

  Namal Rathnayake, Upaka Rathnayake, Yukinobu Hoshino

  SUDSnet 2024 - 20th Anniversary Conference 2024年9月 招待有り
• Unveiling Key Factors Influencing Student Grades through Explainable AI

  Namal Rathnayake, Upaka Rathnayake, Yukinobu Hoshino

  ATU DigitalEd Conference 2024 2024年9月 招待有り
• Leveraging Traditional AI and ML for Enhanced Navigation and Exploration Capabilities of Autonomous Underwater Vehicles

  Namal Rathnayake, Upaka Rathnayake, Yukinobu Hoshino

  The 8th International Symposium on Frontier Technology (ISFT) 2024年7月
• Improving Data Assimilation Using Machine Learning: Insights from the Lorenz-96 Model and Ensemble Kalman Filter

  Namal Rathnayake, Masashi Minamide

  Japan Geoscience Union 2024 2024年
• Design and implementation of ANFIS on FPGA and verification with a class classification problem

  M. Utami, Y. Hoshino, N. Rathnayake

  International Workshop on Advanced Computational Intelligence and Intelligent Informatics (IWACIII 2023) 2023年
• An efficient approach for age-wise rice seeds classification using SURF-BOF with modified cascaded-ANFIS algorithm

  N. Rathnayake, T. L. Dang, A. Miyazaki, Y. Hoshino

  Fifteenth International Conference on Machine Vision (ICMV 2022) 2023年
• An efficient ocular disease recognition system implementation using GLCM and LBP based multilayer perception algorithm

  L. I. Mampitiya, N. Rathnayake

  2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) 2022年
• Performance comparison of sea fish species classification using hybrid and supervised machine learning algorithms

  L. I. Mampitiya, R. Nalmi, N. Rathnayake

  2022 Moratuwa Engineering Research Conference (MERCon) 2022年
• A comparative study for covid-19 cases forecasting with loss function as AIC and MSE in RNN family and ARIMA

  N. Dohi, N. Rathnayake, Y. Hoshino

  2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS) 2022年
• Performance comparison of the ANFIS-based quad-copter controller algorithms

  N. Rathnayake, T. L. Dang, Y. Hoshino

  2021 IEEE International Conference On Fuzzy Systems (FUZZ-IEEE) 2021年
• Streamflow prediction using cascaded-ANFIS algorithm in Kelani river, Sri Lanka

  L. I. Mampitiya, R. Nalmi, N. Rathnayake

  2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI) 2021年
• Designing and implementation of novel ensemble model based on ANFIS and gradient boosting methods for hand gestures classification

  N. Rathnayake, T. Linh Dang, Y. Hoshino

  Proceedings of the 11th International Symposium on Information and Communication Technology 2021年
• A comparison of the fuzzy logic controller and PID controller for differential drive wall-following mobile robot

  R. Rathnayake, T. De Silva, C. Rodrigo

  14th Conference on Industrial and Information Systems (ICIIS) 2019年
• An efficient approach towards image stitching in aerial images

  R. Rathnayake, L. Seneviratne

  2018 3rd International Conference on Information Technology Research (ICITR) 2018年
• Fuzzy logic controller design for an unmanned aerial vehicle

  R. N. Bandara, S. Gaspe

  IEEE International Conference on Information and Automation for Sustainability (ICIAfS) 2016年

担当経験のある科目(授業)

• 2021年1月 - 2021年12月

  Visiting Lecturer - Artificial Intelligence (The Open University, Sri Lanka)
• 2019年1月 - 2019年12月

  Assistant Lecturer - Fundamentals of Programming, Electrical Circuits, Foundations of Digital Design, Object Oriented Programming, Microcomputers, Analogue Electronics, Signals and Systems, Control Systems, Electronic Design, Robotics and Controls, Advanced Digital Design, Embedded Systems Programming, Computer Vision and Image Processing (Sri Lanka Institute of Information Technology, Sri Lanka)
• 2016年1月 - 2018年12月

  Instructor - Electronic Engineering, Embedded Systems, and Programming (Sri Lanka Institute of Information Technology, Sri Lanka)
• 2017年1月 - 2017年12月

  Visiting Lecturer - Electronic Engineering (Aquinas College of Higher Studies, Sri Lanka)

所属学協会

• 2025年 - 現在

  IEEE

共同研究・競争的資金等の研究課題

• Cascaded-ANFISと機械学習による長期的な降雨-流出予測の実現可能性の検証

  日本学術振興会 科学研究費助成事業 基盤研究(C) 2024年4月 - 2027年3月

  星野 孝総, 四宮 友貴
• 日本を含むアジア地域でのダム貯水量・雨量・河川流量のAI予測技術の確立

  日本学術振興会 科学研究費助成事業 国際共同研究加速基金(国際共同研究強化(B)) 2022年10月 - 2025年3月

  星野 孝総, 端野 典平, 村井 亮介

学術貢献活動

• Guest Editor

  査読

  Discover Environment - Springer Nature 2024年3月1日 - 現在