Teaching
My teaching experience.
University of California, Berkeley - Guest Lecture - Machine Learning @ Berkeley
| Learning How to Drive Inside a Learned Driving Simulator | Slides |
Binghamton University - EECE 562 - Fundamentals of Steganography
| Modern Steganalysis: The ALASKA II Challenge | Slides |
| Modern Steganalysis: The ALASKA I Challenge | Slides |
Binghamton University - ECE 580G Deep Learning for ECE
Repository: EECE580G-DL4ECE
| Introduction to Object Oriented Programing | Video | Code | |
| Introduction to learning theory | Slides | Video | |
| Introduction to Numerical Optimization (1) | Slides | Video | Code |
| Introduction to Numerical Optimization (2) | Slides | Video | Code |
| Introduction to TensorFlow 2.x (1) | Slides | Video | |
| Introduction to TensorFlow 2.x (2) | Slides | Video | |
| A visual understanding of MLP | Video | ||
| Convolutional Neural Networks | Slides | Video | |
| Convolutions from the brain to the GPU | Slides | Video | |
| Advanced Convolutional Neural Networks | Slides | Video | |
| The inverted residual block - Layers subclassing | Video | Code | |
| tf.data - Image Augmentations | Slides | Video | |
| Transfer Learning | Slides | Video | Code |
| A discussion with Eugene Khvedchenya (Albumentations) | Video | ||
| Image Segmentation | Slides | Video | Code |
| Grad Cam | Video | Code | |
| Introduction to Generative Adversarial Networks | Slides | Video |
Code intro Code conditional Code wGANs GP |
Binghamton University - ECE 566 Detection Theory
(Spring 2020) I served as co-instructor in Prof. Jessica Fridrich’s ECE 566 Detection Theory. Helped with making slides and/or given a few lectures on the following subjects:
| Introduction to Mixture Models | Slides |
| Maximum Likelihood Estimation | Slides |
| \chi square distribution | Slides |
| Bayesian Hypothesis Testing (binary) | Slides |
| Bayesian Hypothesis Testing (multiple hypotheses) | Slides |
| Bayesian Hypothesis Testing (2 deterministic signals) | Slides |
| Bayesian Hypothesis Testing (multiple deterministic signals) | Slides |
| Introduction to Composite Hypothesis Testing | Slides |
| Composite Hypothesis Testing (bayesian approach) | Slides |
| Composite Hypothesis Testing (GLRT) | Slides |
| Asymptotic distribution of the GLRT | Slides |