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Academic Experience

Education

  • Columbia University, United States (2023 - 2024)
    • MSc in Electrical Engineering
    • GPA: 4.09
  • University of Tehran, Iran (2018 - 2022)
    • B.Sc. in Electrical Engineering
    • GPA: 18.51/20 (3.91/4)
    • Last Year GPA: 19.70/20

Experience

  • Machine Learning Engineering Intern at Sciforium October 2024 - December 2024

    At Sciforium, I contributed to the development and optimization of machine learning models in a fast-paced startup environment. My primary responsibility was porting LLaMA3 models from PyTorch to JAX, which resulted in a significant improvement in efficiency. Additionally, I trained a Byte Vision Transformer on ImageNet, achieving a competitive 66% top-1 accuracy on JPEG-encoded images. To ensure seamless collaboration, I streamlined workflows and documented processes, enabling the team to effectively reproduce and extend cutting-edge research findings.

  • Research Assistant at Neural Acoustic Processing Lab, Columbia University September 2023 - Present
    Supervised by: Dr. Nima Mesgarani

    I developed tools for auditory attention decoding using ECoG neural data with different neural frequency bands. Conducted experiments and analyzed data to understand neural mechanisms underlying auditory processing. Collaborated with a multidisciplinary team to improve auditory attention decoding accuracy. Presented findings at lab meetings and contributed to the preparation of research posters.

  • Research Assistant at Advanced Control Systems Laboratory January 2022 - Ongoing
    Supervised by: Prof. Mohammad Javad Yazdanpanah

    In this research, our team focuses on controlling complex networks. We developed a comprehensive framework for the optimal control of complex networks. This framework includes optimal driver node selection to achieve network controllability and the calculation of the optimal input based on the type of optimization problem. We tested our framework for desynchronization of brain networks to stop epileptic seizures and submitted a paper to ICBME2022.

  • Research Assistant at Advanced Robotics and Intelligent Systems Laboratory June 2022 - September 2022
    Supervised by: Prof. Hadi Moradi

    In this research, we designed a comprehensive platform for upper limb rehabilitation. Our goal was to provide a Human-Computer Interaction form of treatment using gamification methods and a low-cost, efficient, and specific movement data acquisition system. This approach aimed to motivate patients to increase their range of motion and make practices more engaging. We conducted experiments to evaluate our designed platform, which yielded promising results. We submitted our findings to ICROM2022.

  • Research Intern at IoT Lab at University of Tehran June 2021 - September 2021
    Supervised by: Dr. Mehdi Modarressi

    In this internship, my role was to design a dashboard on the ThingsBoard IoT platform and simulate a smart house. Data transfer was done via MQTT protocols. For more information, see my GitHub repository.

Teaching Experience (Graduate courses indicated by *)

  • Random Signals and Noise* (ELEN4815), I. Kalet Spring 2024

  • Signals and Systems (ELEN3801)*, X. Wang Fall 2023

  • Neural Networks and Deep Learning course*, A. Kalhor September 2022 - January 2023

  • Probability and Statistics course, B. Bahrak September 2022 - January 2023

  • Instrumentation course, M. Nayeri January 2021 - June 2022

  • Electrical Machines I course, M. Abedini January 2021 - June 2022

  • Linear Algebra course, M. J. Yazdanpanah September 2021 - January 2022

  • Electrical Circuits I course, J. Rashed Mohassel September 2021 - January 2022

Relevant Courses

  • Finished: Advanced Speech Processing(EECS6698), Generative AI (EECS6692), Deep Learning on Edge (EECS6692), Advanced Deep Learning (EECS6691), Deep Learning for NLP (IEOR4573), Bayesian Machine Learning (EECS6720), Statistical Learning (EECS6690), Deep Learning, Intelligent Systems, Neuroscience, Computer Networks, Biomedical Engineering, Operational Research, Linear Algebra
  • Online: Introduction to Git and GitHub (Coursera, Certificate), SQL for Data Science (Coursera, Certificate)

Skills

  • Programming: Python, MATLAB, C, LaTeX, HTML, CSS, Git, Lua, SQL, Verilog
  • Software: CoppeliaSim, Simulink, Modelsim, Quartus II, Proteus, Microsoft Office, PSpice, STM32, Linux, Slurm
  • Hardware: ARM/AVR, FPGA, Altium, NVIDIA Jetson
  • Machine Learning Tools: JAX, Tensorflow, Pytorch, OpenCV, Pandas, scikit-learn
  • Soft Skills: Self-motivation, Flexibility, Teamwork

Languages

  • Persian: Native
  • English: Fluent