Mohammadjavad (Mohammad)
Maheronnaghsh
Machine Learning • Deep Learning • Computer Vision • DL Acceleration
About Me
"Good judgment comes from experience, and a lot of that comes from bad judgment." — Will Rogers
I am currently a student at the University of Toronto, heavily focused on deep learning acceleration (both inference and training phases). My recent research explores efficient augmented reality systems.
Hobbies & Interests: Cinema, soccer (playing and watching), reading books,
psychology, historical & psychological podcasts, and boardgames.
Music: Mehran Modiri and Mohsen Chavoshi.
* TOEFL scores, transcripts, and certifications are available upon request.
Education
M.A.Sc. in Electrical and Computer Engineering
Thesis: Efficient Image Predistortion for Augmented Reality Systems
GPA: 3.8/4
B.Sc. in Computing Engineering
Nov 2020 - Jun 2024Sharif University of Technology
Thesis: Mitigating Spurious Correlation in Classification of Images
GPA: 19/20
Featured Publications
SHANNONIC: Efficient Entropy-Optimal Compression for ML Workloads
2026
Professional Experience
ML Intern
Zista Gene Afarin
Jul 2023 - Sep 2023Projects
Chromosome Classification
Computer Vision project developed at Zista-Gene Corp.
NLP Chatbot (Mental Health)
Chatomatic/Rasa Telegram-bot with fine-tuned NLP models.
Smart Elevator
Embedded systems project using Arduino.
Airline Manager
Database and application management project.
Yu-Gi-Oh Game
Advanced Programming Project using Java and JavaFX.
Sentiment Analysis
Machine Learning sentiment analysis on text data.