CV

Education

• Bachelor of Engineering in Electronics and Telecommunication, Second Class Upper Division, University of Wolverhampton, UK (2013-2016)
• Master of Science in Robotics and Automation, University of Salford, UK (2017-2019)
• Ph.D in School of System Engineering, Kochi University of Technology, Japan (2020-2023)

Work experience

• Visiting Lecturer at Open University, Sri Lanka, Faculty of Engineering Technology (2021-2022)
• Assistant Lecturer at Sri Lanka Institute of Information Technology, Department of Electrical and Electronics, Faculty of Engineering (2019-2020)
• Instructor at Sri Lanka Institute of Information Technology, Department of Electrical and Electronics, Faculty of Engineering (2016-2019)
• Visiting Lecturer at Aquinas College of Higher Studies, Faculty of Engineering (2017-2018)
• Freelancer at Upwork.com, working on Arduino-based project research and implementation, tutorials, consultation for sensors selection, research data collection, application development, lectures on coding, and design and implementation of automatic parachute deployment system on drone, designing and developing surface-mounted PCBs, and researching vehicle control and dynamics (2019-present)

Skills

• Data and Quantitative Analysis
• Decision Analytics
• Predictive Modelling
• Data-Driven Personalization
• Machine Learning Algorithms
  • CNN based algorithms
  • Fuzzy Based algorithms
  • Gradient Boosting: XGBoost, CatBoost, etc.
• Organizational and analytical skills
• Understanding of technical documentation
• Communication and presentation
• Problem-solving
• Programming languages
  • C / C++
  • Python
  • R
  • MATLAB
  • VHDL
  • Verilog

Publications

Fuzzy logic controller design for an Unmanned Aerial Vehicle

Bandara, RM Namal, and Sujeetha Gaspe. "Fuzzy logic controller design for an Unmanned Aerial Vehicle." 2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS). IEEE, 2016.

An Efficient Approach Towards Image Stitching in Aerial Images.

Rathnayake, R. M. N. B., and L. Seneviratne. "An Efficient Approach Towards Image Stitching in Aerial Images." 2018 3rd International Conference on Information Technology Research (ICITR). IEEE, 2018.

A Comparison of Fuzzy Logic Controller and PID Controller for Differential Drive Wall-Following Mobile Robot

Ratnayake, R. M. N. B., T. S. De Silva, and C. J. Rodrigo. "A comparison of fuzzy logic controller and pid controller for differential drive wall-following mobile robot." 2019 14th Conference on Industrial and Information Systems (ICIIS). IEEE, 2019.

An Efficient Automatic Fruit-360 Image Identification and Recognition Using a Novel Modified Cascaded-ANFIS Algorithm

Rathnayake, Namal, Tuan Linh Dang, and Yukinobu Hoshino. "A novel optimization algorithm: cascaded adaptive neuro-fuzzy inference system." International Journal of Fuzzy Systems 23.7 (2021): 1955-1971.

Performance Comparison of the ANFIS based Quad-Copter Controller Algorithms

N. Rathnayake, T. L. Dang and Y. Hoshino, "Performance Comparison of the ANFIS based Quad-Copter Controller Algorithms," 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Luxembourg, Luxembourg, 2021, pp. 1-8, doi: 10.1109/FUZZ45933.2021.9494344.

A Cascaded Adaptive Network-Based Fuzzy Inference System for Hydropower Forecasting

Rathnayake, Namal, et al. "A Cascaded Adaptive Network-Based Fuzzy Inference System for Hydropower Forecasting." Sensors 22.8 (2022): 2905.

Classification of Human Emotions using Ensemble Classifier by Analysing EEG Signals

L. I. Mampitiya, R. Nalmi and N. Rathnayake, "Classification of Human Emotions using Ensemble Classifier by Analysing EEG Signals," 2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI), Atlanta, GA, USA, 2021, pp. 71-77, doi: 10.1109/CogMI52975.2021.00018.

An Efficient Automatic Fruit-360 Image Identification and Recognition Using a Novel Modified Cascaded-ANFIS Algorithm.

Rathnayake, Namal, et al. "An Efficient Automatic Fruit-360 Image Identification and Recognition Using a Novel Modified Cascaded-ANFIS Algorithm." Sensors 22.12 (2022): 4401.

An Efficient Ocular Disease Recognition System Implementation using GLCM and LBP based Multilayer Perception Algorithm

Performance Comparison of Sea Fish Species Classification using Hybrid and Supervised Machine Learning Algorithms

L. I. Mampitiya, R. Nalmi and N. Rathnayake, "Performance Comparison of Sea Fish Species Classification using Hybrid and Supervised Machine Learning Algorithms," 2022 Moratuwa Engineering Research Conference (MERCon), Moratuwa, Sri Lanka, 2022, pp. 1-6, doi: 10.1109/MERCon55799.2022.9906206.

Brain Activity Associated with the Planning Process during the Long-Time Learning of the Tower of Hanoi (ToH) Task: A Pilot Study

Mitani, K.; Rathnayake, N.; Rathnayake, U.; Dang, T.L.; Hoshino, Y. Brain Activity Associated with the Planning Process during the Long-Time Learning of the Tower of Hanoi (ToH) Task: A Pilot Study. Sensors 2022, 22, 8283. https://doi.org/10.3390/s22218283

Designing and Implementation of Novel Ensemble model based on ANFIS and Gradient Boosting methods for Hand Gestures Classification

Efficient and Low-Cost Skin Cancer Detection System Implementation with a Comparative Study Between Traditional and CNN-Based Models

Mampitiya, L., Rathnayake, N., & De Silva, S. (2022). Efficient and Low-Cost Skin Cancer Detection System Implementation with a Comparative Study Between Traditional and CNN-Based Models. Journal of Computational and Cognitive Engineering. https://doi.org/10.47852/bonviewJCCE2202482

A comparative study for COVID-19 cases forecasting with loss function as AIC and MSE in RNN family and ARIMA

N. Dohi, N. Rathnayake and 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), Ise, Japan, 2022, pp. 1-5, doi: 10.1109/SCISISIS55246.2022.10001870.

Projected Water Levels and Identified Future Floods: A Comparative Analysis for Mahaweli River, Sri Lanka

N. Rathnayake, U. Rathnayake, I. Chathuranika, T. L. Dang and Y. Hoshino, "Projected Water Levels and Identified Future Floods: A Comparative Analysis for Mahaweli River, Sri Lanka," in IEEE Access, vol. 11, pp. 8920-8937, 2023, doi: 10.1109/ACCESS.2023.3238717.