vitae

Highlights of my career, education, and services.

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Coursework

Includes courses, summer schools, and workshops.

  • 2021 - 2026
    Johns Hopkins University
    • Applied Mathematics and Statistics
      Probability Theory, Statistical Theory, Non-linear Optimization I and II (audit), Pattern Recognition:Theory and Methods (audit), High Dimensional Probability, Approximation, and Statistical Learning, Computational Molecular Medicine, Optimal Transport, Machine Learning I and II, Probabilistic Machine Learning (audit), Compressed Sensing and Sparse Recovery
    • Neuroscience and Behavioral Psychology
      Neuroscience Cognition, Brain, Mind and Behavior
    • Biomedical Engineering
      Neuro Data Design I and II
    • Computer Science
      Causal Inference (audit)
  • 2016 - 2020
    University of Moratuwa
    • Mathematics
      Mathematics, Methods of Mathematics, Differential Equations, Calculus, Linear Algebra, Graph Theory, Numerical Methods, Applied Statistics, Neural Networks and Fuzzy Logic, Time Series and Stochastic Proceses, Operational Research
    • Electrical and Electronics Engineering
      Electrical Engineering, Electronics I, Electronics Lab I, Introduction to Telecommunications, Signals and Systems, Electronics II, Theory of Electricity, Random Signals and Processes, Electronics Lab II, Electromagnetics, Electronics III, Digital Signal Processing, Electronic Control Systems, Circuits and Systems Design, Electronic Devices
    • Computer Engineering
      Programming Fundamentals, Fundamentals of Computer Organization and Design, Fundamentals of Image Processing and Machine Vision, Computer Networks, Machine Vision, Advances in Machine Vision, Pattern Recognition and Machine Intelligence (Audited), Algorithms and Data Strcutures
    • Biomedical Engineering
      Engineering in Medicine and Biology, Human Anatomy and Physiology I, Human Anatomy and Physiology II, Analysis of Physiological Systems, Field Visit, Medical Imaging, Scientific Communications for BME, Biostatistics and Ethics for BME, Genomic Signal Processing(Bioinformatics), Biotechnology, Medical Image Processing, Medical Electronics and Instrumentation, Research Project, Industrial/Research Training
    • General Engineering
      Fluid Mechanics, Mechanics, Properties of Materials, Engineering Drawing and Computer Aided Modelling
    • Management
      Engineering in Context, Business Economics and Financial Accounting Production and Operations Management, Human Resource Management and Industrial Relations
    • Humanities
      English Language, Communication Skills, Yoga Practice, Astronomy and Cosmology
  • 2019 - Present
    Workshops
    • Denoising Diffusion-Based Generative Modeling: Foundations & Applications, CVPR 2022
    • Graph Neural Networks, ICASSP 2020
    • Neuromatch Academy, Observer Track (2020)
    • QSM Workshop, 1st OHBM Australia Chapter Symposium (2018)
    • Advanced Magnetic Resonance Imaging Workshop, University of Melbourne, Australia (2018)
    • Neural Computational Modelling Workshop, University of Melbourne, Australia (2018)
  • 2016 - Present
    MOOCs
    • Deep Learning Specialization by Andrew Ng, Deep.ai (2018)
    • Machine Learning by Andrew Ng, Stanford University (2017)