I am a graduate student in computer Science at UCLA advised by Prof. Majid Sarrafzadeh.
As a kid, I always found it hard to decide where I could fit in and what I wanted to do. Machine Learning has always given me the ambition to think outside of the box. It allows me to be more creative, combine different skills and never get bored while doing so. This is why I decided to opt for this field of study.
I am mostly interested in the intersection of Machine Learning with Computer Vision, Robotics, and Healthcare. More specifically, my research focuses on large-language models (LLMs) and vision-language models (VLMs) evaluation and benchmarking, as well as adversarial attacks and robustness techniques in AI systems to ensure their trustworthiness, fairness, and efficiency.
Education:
Doctorate of Philosophy, Computer Science (2023-Present)
University of California, Los Angeles (UCLA)
GPA: 3.82/4
Master of Science, Artificial Intelligence (2023-2025)
University of California, Los Angeles (UCLA)
GPA: 3.82/4
Bachelor of Science, Computer Engineering (2018- 2023)
Sharif University of Technology
GPA: 18.24/20 (equivalent to 3.72/4)
Diploma, Mathematics and Physics (2011-2018)
Farzanegan 1 High School (NODET)
GPA: 19.69/20 (equivalent to 4/4)
Skills:
Machine Learning Tools: PyTorch, Tensorflow, Pandas, Numpy, Scikit-learn, OpenCV, Matplotlib, Matlab
Programming Languages: Python, Java, JavaScript, C, Assembly (8086, MIPS), R.
Data Management & Databases: MySQL
CAD & Simulation Tools: Quartus, Proteus, ModelSim, Packet Tracer, Wireshark, Arena, Arduino, Code Vision
Typesetting: LaTeX
Operating Systems: Windows, Linux, Mac OS
Languages:
Persian (Native)
English (Fluent)
Turkish (Basic Knowledge)
Arabic (Basic Knowledge)