Curriculum Vitae

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Education

1. 2024 – present

   PhD, Computing Science

   University of Alberta · GPA 4.0/4.0

   Supervisor: Levi Lelis. Topics: LLM world modeling, reinforcement learning, programmatic policy synthesis, option discovery and hierarchical RL.

2. 2019 – 2022

   MSc, Computing Science

   University of Alberta · GPA 4.0/4.0

   Supervisor: Martin Müller. Thesis: Monte Carlo Tree Search in the Presence of Model Uncertainty.

3. 2015 – 2019

   BSc, Computer Engineering

   Iran University of Science and Technology · GPA 3.87/4.0

   Supervisors: Nasser Mozayani and Sauleh Eetemadi. Thesis: Image Captioning using Attention Mechanisms for the Farsi Language.

Research experience

1. 2024 – present

   PhD Research Assistant

   University of Alberta

   Option discovery with Didec (NeurIPS 2026), and OOD generalization of programmatic vs. neural policies (ICML 2026).

2. 2022 – 2024

   Support Researcher

   Huawei, Edmonton

   Multi-modal image-quality assessment (WACV 2026), perceptual colour metric (ICASSP 2024), ISP pipeline optimization, tensor and compiler optimization (DATE 2024).

3. Summer 2021

   Research Intern

   Huawei, Edmonton

   Heteroscedastic regression for Halide tensor optimization.

4. 2019 – 2022

   MSc Research Assistant

   University of Alberta

   UA-MCTS for planning with inaccurate transition models (AAAI 2024).

Honors & awards

• Recruitment Award, $5,000 CAD

  Department of Computing Science, University of Alberta

  2024

• Ranked 2nd in the graduating BSc class

  Department of Computer Engineering, IUST

  2019

• Ranked 1,170 of 181,000

  Iranian National Graduate School Entrance Examination

  2015

• Member, NODET

  National Organization for Development of Exceptional Talents

  since 2010

Skills

Research

Reinforcement learning, hierarchical RL, Monte Carlo Tree Search, option discovery, program synthesis, foundation models, world modeling, Bayesian optimization, computer vision

ML tooling

PyTorch, TensorFlow, Ray RLlib, Optuna, Weights & Biases, scikit-learn

Languages

Python, C++, Bash

Systems

Linux, Docker, Git, Slurm, Jupyter