Namal Rathnayake

Project Researcher , The university of Tokyo
  • Japan

About Namal Rathnayake

Experienced Lecturer and Researcher with a passion for Computer sciences, Robotics and Machine Learning, bringing 4+ years of expertise in teaching, research, development, AI, and machine learning practices. Developed a novel Machine Learning and Artificial Intelligence algorithm called Cascaded Adaptive Network-based Fuzzy Inference System, achieving up to 99.9% accuracy improvement during PhD studies. Skilled in Data Assimilation, Weather Forecasting (WRF), and designing hybrid Deep Learning-based models. Proficient in programming languages including C/C++, Python, R, MATLAB, VHDL, and Verilog. Strong communication, organization, and problem-solving abilities.


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