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ABOUT ME


The happiness of your life depends on the quality of your thoughts.

 

CURRENTLY

Working as a Research Assistant at Rajarata University of Sri Lanka

PAST INSTITUTIONS




TECHNICAL SKILLS

Programming Languages (C# , C, C++, Java, Python (computer vision techniques, robotics and automation using Raspberry Pi micro controller using Python Language, Complex network analysis and Data analysis), OpenCV Vision Library (Creating computer vision applications using C++ and Python))

Programming for IDE (Visual Studio, Arduino, Raspberry pi)

Machine Learning (Training and testing models in TensorFlow environment in both Ubuntu and windows. (Developed a model to identify match boxes using TensorFlow)

Web Designing (Website designing and managing, creating web based applications using HTML5, CSS3, Java Script , PHP and Django)

Content Management Systems (Wordpress, Joomla, Website designing and managing using content management systems)

Database (Creating, connecting and managing databases in MS SQL server and MySQL for web based applications and standalone applications using XAMP and WAMP servers)

Skills in Computer Methodologies (Object Oriented Programming Concepts, Design Patterns)

Operating Systems (Working on Open-Source Operating Systems (Ubuntu, Lubuntu, Raspbian), Windows and macOS)

Statistical analyzing software (SAS Minitab and Power BI)

PUBLICATIONS

       I.    Supusan, N.A.I., Kaushalya, W.A.L.U., Maduwanta, S.M.D.P., Yasiru, M.G.A., Wijenayake, S.J.K., Kulathilake, K.A.S.H. and Kohomban, U. (2018), Self-controlled Robot for Collection of Light Weight Waste in a Ground Area, Published in: 2018 IEEE International Conference on Information and Automation for Sustainability (ICIAfS), DOI: 10.1109/ICIAFS.2018.8913337

      II.    Supasan N.A.I., Sumathipala S. and Kumarage P. (2019), Robot application to tidy up table and stack objects in right sequence, Applied Sciences Undergraduate Research Sessions, Faculty of Applied Sciences, Rajarata University of Sri Lanka (Abstract only)

    III.     Fernando, S., Supasan N.A.I. and Dissanayake, R. (2021), Prediction of the Colombo Stock Performance using Machine Learning Techniques, International Conference in Data Science, Department of Statistics, Faculty of Science, University of Colombo (Abstract only)

WORKING ON

Proteomic and Machine Learning approach to early detection of proteins involved in chronic kidney disease of Unknown Etiology (CKDu) (2020-todate)