EECE.7100: Biomedical Imaging and Data Science
University of Massachusetts Lowell
Fall 2015, Spring 2017, Spring 2018, Spring 2019
The goal of this graduate special topic course is to train students on using statistical estimation techniques, machine learning tools, and numerical optimization methods for biomedical imaging and data analytics.

EECE.3620: Signals and Systems
University of Massachusetts Lowell
Fall 2019
This undergraduate course introduces foundational concepts of electrical signals and systems.

EECE.2010: Circuit Theory I
University of Massachusetts Lowell
Fall 2016, Fall 2017, Fall 2018
This undergraduate course introduces basic concepts of circuit theory.

HST-565: Medical Imaging Sciences and Applications
Harvard-MIT Program in Health Sciences and Technology (HST) 
Fall 2014, Fall 2015
Lecture title: Basics of Optical Imaging

Summer School Lab: Traditional Machine Learning
AAPM Summer School on Practical Medical Image Analysis, Burlington, VT
June 2019
The goal of this 1-hour laboratory course was to offer student practical, hands-on training on supervised learning methods, including linear and logistic regression, support vector machines, and multilayer perceptrons.

Summer School Lecture: Enhancement/Restoration/Pre-Processing - Neural Network/Deep Learning
AAPM Summer School on Practical Medical Image Analysis, Burlington, VT
June 2019
The goal of this 1-hour lecture was to introduce students to medical image enhancement and restoration techniques based on deep neural networks. The course included an example-based hands-on component using an iPython notebook to solve image denoising and deblurring problems using deep learning.

Summer School Junior Lecture: Integrated Imaging
IEEE EMBS International Summer School on Biomedical Imaging, Brittany, France
June 2014
The goal of this short course was to present an overview of signal processing and image analysis techniques for quantitative imaging that rely on cross-modality imaging data integration.