Teaching

Teaching Assistant - BME, Johns Hopkins University

Prepare and grade assignments, update the learning management system (LMS) and set up the lecture room. I engage with students through email and during office hours, clarifying the doubts and questions they have from the lectures.

• EN.580.431/631 Introduction to Computational Medicine: Imaging (Fall 2025)

Visiting Instructor/ Teaching Assistant - ENTC, University of Moratuwa

Assisted the lecturers in assignment preparation, evaluations, and laboratory work.

• BM4151 Biosignal Processing (Fall 2023)
• EN4553 Machine Vision (Fall 2023)
• BM3122 Medical Imaging (Fall 2023)
• EN3160 Image Processing and Machine Vision (Fall 2023)
• EN3551 Digital Signal Processing (Fall 2023)
• BM2012 Anatomy and Physiology for Engineers (Fall 2023)

Learning

Graduate Studies

Courses offered by Whiting School of Engineering and School of Medicine at JHU.

Applied Mathematics and Statistics

• EN.553.780 Shape and Differential Geometry, by Prof. Laurent Younes
• EN.553.741 Machine Learning II, by Prof. Laurent Younes

Biomedical Engineering

• EN.580.631 Introduction to Computational Medicine: Imaging, by Prof. Michael I. Miller

Neuro/Cognitive Sciences

• EN.601.685 Probabilistic Models of the Visual Cortex, by Prof. Alan Yuille

Selected Undergraduate Modules

Laid a strong theoretical foundation and helped me discover my passion for core mathematical concepts and their applications in medical data analysis.

Advanced Courses

• EN4573 Pattern Recognition and Machine Intelligence:
  • Course content includes Multivariate Gaussian Density, Concentration of Measure in High Dimensions, Goals of Learning, Randomness of the Generalization Error, Inductive Bias, Density Estimation, Concentration Inequalities, Introduction to PAC Inequalities. (Reference materials are mostly from Statistical Learning Theory by Bruce Hajek and Justin Raginsky).

Mathematics

• MA4043 Neural Network and Fuzzy Logic
• MA4023 Operational Research
• MA4013 Linear Models and Multivariate Statistics
• MA3023 Numerical Methods
• MA3013 Applied Statistics
• MA2053 Graph Theory
• MA2033 Linear Algebra
• MA2023 Calculus
• MA2013 Differential Equations
• MA1023 Methods of Mathematics

Signal/ Image Processing

• BM4151 Biosignal Processing
• EN4553 Machine Vision
• BM3121 Medical Imaging
• EN2570 Digital Signal Processing
• EN2550 Fundamentals of Image Processing and Machine Vision
• EN2040 Random Signals and Processes
• EN1060 Signals and Systems

Biology

• BM4620 Biotechnology
• BM2101 Analysis of Physiological Systems
• BM2020 Human Anatomy and Physiology II
• BM2011 Human Anatomy and Physiology I

Computer Engineering

• EN3240 Embedded Systems Engineering
• EN3143 Electronic Control Systems
• EN3030 Circuits and System Design
• EN2030 Fundamentals of Computer Organization and Design

Electrical Engineering

• EN2083 Electromagnetics
• EE2093 Theory of Electricity
• EE1012 Electrical Engineering

General Engineering

• ME1822 Basic Engineering Thermodynamics
• EN1053 Introduction to Telecommunications
• MT1022 Properties of Materials
• CE1022 Fluid Mechanics

MOOCs

• TensorFlow Advanced Techniques : 4-Course Specialization - DeepLearning.AI (Coursera) March 2022
  • Custom Models, Layers, and Loss Functions with TensorFlow
  • Custom and Distributed Training with TensorFlow
  • Advanced Computer Vision with TensorFlow
  • Generative Deep Learning with TensorFlow
• MATLAB Programming for Engineers and Scientists : 3-Course Specialization - Vanderbilt University (Coursera) November 2020
  • Introduction to Programming with MATLAB
  • Mastering Programming with MATLAB
  • Introduction to Data, Signal, and Image Analysis with MATLAB
• DeepLearning.AI Tensorflow Developer : 4-Course Professional Certificate - DeepLearning.AI (Coursera) September 2020
  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
  • Convolutional Neural Networks in TensorFlow
  • Natural Language Processing in TensorFlow
  • Sequences, Time Series and Prediction
• AI for Medical Diagnosis - DeepLearning.AI (Coursera) September 2020
• Python Classes and Inheritance - University of Michigan (Coursera) September 2020
• Anatomy : 4-Course Specialization - University of Michigan (Coursera) August 2020
  • Anatomy: Musculoskeletal and Integumentary Systems
  • Anatomy: Cardiovascular, Respiratory and Urinary Systems
  • Anatomy: Human Neuroanatomy
  • Anatomy: Gastrointestinal, Reproductive and Endocrine Systems
• Deep Learning : 5-Course Specialization - DeepLearning.AI (Coursera) June 2020
  • Neural Networks and Deep Learning
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
  • Structuring Machine Learning Projects
  • Convolutional Neural Networks
  • Sequence Models
• Machine Learning - Stanford University (Coursera) June 2020