Resume / CV

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Education

Ph.D. in Electrical and Computer Engineering – Georgia Institute of Technology (Aug 2020 – Dec 2025) [GPA: 3.9/4]

Select Coursework: Conversational A.I., Mathematical Foundations of Machine Learning, Machine Learning with Limited Supervision, Random Processes, Information Theory, Statistical Machine Learning, Convex Optimization.

M.S. in Electrical and Computer Engineering – Georgia Institute of Technology (Aug 2020 – Aug 2023) [GPA: 3.9/4]

B.S. in Electrical Engineering – Ferdowsi University of Mashhad (Sep 2014 – Sep 2019) [GPA: 4/4]

Select Coursework: Advanced Programming, Algorithm Design, Data Structure, Soft Computing, Digital Signal Processing, Digital Communications, Artificial Intelligence, Probability and Stochastic Processes.

Research Experience

Graduate Research Assistant – Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Tech (Aug 2020 – Present)

• Advanced algorithmic causal discovery in large-scale dynamic systems (leading to 3 publications).
• Developed scalable methods that improved runtime efficiency by over 1,000x.
• Created the open-source package gunfolds for causal discovery.

Volunteer Researcher – Collaboration with Rutgers University (Sep 2018 – Dec 2019)

Undergraduate Research Assistant – Robotic Prosthetic Control (Dec 2017 – Sep 2019)

Technical Skills

• Programming Languages: Python, C++, Matlab, JAVA, Clingo, R
• Frameworks & Libraries: TensorFlow, PyTorch (CUDA), Scikit-learn, NetworkX, igraph, OpenCV, Emgu, AForge, NumPy, SciPy, Pandas
• Machine Learning & AI: Multimodal LLMs, Transformers, Conformers, Predictive & Statistical Modeling, Optimization, Tigramite
• Computer Vision & Speech Processing: GANs, Diffusion Models, Self-Supervised Models, Cross-modal Data Generation, Vision-Language Alignment, Speech-to-Text
• Other Technologies: Docker, Git, Parallel Computing, Scalable Solutions, Algorithm Development, Open-Source Contributions