Iman Mirzadeh

Graduate Research Assistant

Washington State University

About Me

I am a PhD student and Graduate Research Assistant at the Washington State University Embedded and Pervasive Systems Laboratory (EPSL) under supervision of Dr. Hassan Ghasemzadeh. I am interested in the real-world challenges of working with machine learning models such as energy constraints and human-in-the-loop interactions with these models. Specifically, I am focusing on Model Optimization (such as model compression), where my goal is to build more efficient models or use the existing models more efficiently!

Before joining EPSL, I was an ML Engineer at Sokhan AI, where we provided accurate and scalable Natural Language Processing (NLP) and Computer Vision (CV) services to businesses.


  • Machine Learning
  • Deep Learning
  • Model Optimization
  • Causal Inference and Counterfactual Reasoning


  • PhD in Computer Science (Artificial Intelligence), 2018-present

    Washington State University

  • BSc in Computer Engineering (Information Technology), 2013-2018

    University of Tehran

Recent Publications

Improved Knowledge Distillation via Teacher Assistant

This paper studies a drawback of knowledge distilliation and proposes a working solution.

Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems

This paper studies the problem of deploying machine learning models using optimization theory.

Recent Talks

Private AI: Differential Privacy and Federated Learning

A short lecture on Differential Privacy and Federated Learning.

Machine Learning Beyond Curve Fitting: Introduction to Causality

Introduction to Causal Inference and Counterfactual Reasoning.

Online Certificates

Neural Networks and Deep Learning

course offered by deeplearning.ai
See certificate

Data Science and Machine Learning Essentials

a course of study offered by Microsoft
See certificate


Programming Languages

Python, C++, Java, R, Matlab, SQL, GNU Bash

Libraries and Frameworks

Numpy, Scipy, Pandas, CVXPY, Scikit-learn, XGBoost, Catboost, Pytorch, Tensorflow, Keras, Matplotlib, Seaborn, Plotly, Networkx, Spacy, NLTK, Postgresql, MySQL, SQLite, MongoDB, Redis, Elasticsearch, Vim, LaTex, Docker, Kubernetes,


  • 355 Spokane Street, Dana 114, Pullman, WA, 99163, United States