Teaching

Current Teaching

COMP90086 Computer Vision

The University of Melbourne, 2026

Workshop slides. Same interactive reveal.js decks used in class:

• Week 2 — Arrays, plots and pixels (NumPy, Matplotlib, OpenCV)
• Week 3 — Filtering in space and frequency
• Week 4 — Colour, light and learned filters

Teaching Assistantship

• MSc Deep Learning, Sharif University of Technology, Dr. Mahdieh Soleymani Baghshah, S23
• MSc Neural Networks, University of Tehran, Dr. Ahmad Kalhor, S23
• BSc MSc Intro to Machine Learning, Sharif University of Technology, Dr. Sharifi-Zarchi, F23
• BSc Artificial Intelligence, Sharif University of Technology, Dr. Mahdieh Soleymani Baghshah, Dr. M.H. Rohban, F23
• BSc Artificial Intelligence, University of Tehran, Dr. Yadollah Yaghoobzadeh, Dr. Hakimeh Fadaei, S23, F22, S22
• BSc Engineering Probability & Statistics, University of Tehran, Dr. Behnam Bahrak, F22
• BSc Design & Analysis of Algorithms, University of Tehran, Dr. Mohammad Javad Dousti, S22, F22
• BSc Data Structures & Algorithms, University of Tehran, Dr. Hesham Faili, F22

Previous Teachings

Introduction to Machine Learning and Artificial Intelligence

Summer School, ACM Student Branch, University of Tehran, Summer 2023

This course covers the basics of machine learning and prerequisites. It explores regression, decision trees, and neural networks. Through practical exercises, students gain hands-on experience with data. The course concludes with an introduction to deep learning, image processing models, and a review of newer models.

Deep Learning and Machine Intelligence (Certificate)

Summer School, ACM Student Branch, University of Tehran, 2022

This course covers the basics of machine learning and prerequisites. It explores regression, decision trees, and neural networks.