About Me

I am a graduate student in the Department of Electrical and Computer Engineering at University of Texas at Austin where I am working under the supervision of Prof. Haris Vikalo. I received my bachelor's degree in Electrical Engineering with a minor in Computer Engineering from University of Tehran, and I was fortunate to be advised by Prof. Babak N. Araabi.

My primary area of research is provable algorithms and models for computational inference and optimization. My interests lie in the intersection of computer science, applied mathematics and statistics, in particular, Machine Learning Theory, Statistical Inference, and Optimization. Generally, I am interested in achieving better theoretical understanding of machine learning models and algorithms, as well as designing practical and provable algorithms for machine learning and optimization problems.

Here you may find a concise information about me. For a detailed information you can find my CV here.

Education

University of Texas at Austin, Austin, TX
2019—Present
Ph.D., Department of Electrical and Computer Engineering
University of Tehran, Tehran, Iran
2014—2019
B.Sc. in Electrical Engineering—Telecommunications
Minor in Computer Engineering
Thesis: "Sparse Subspace Clustering; and its Applications in Motion Segmentation"
Advisor: Prof. Babak N. Araabi
Allameh Helli High School, Tehran, Iran
2010—2014
Diploma in Mathematics and Physics' Discipline

Honors and Awards

  • Silver Medal in the 26th Iranian National Physics Olympiad
    July 2013
  • Bronze Medal in the 25th Iranian National Physics Olympiad
    July 2012
    I was one of the three students of 10th grade who won a medal among almost 10,000 participants of 10th and 11th grade.
  • Recipient of the Grant from the National Elites Foundation
    2014—Present
    For Silver and Bronze Medals of Physics Olympiad and outstanding academic success

Research Experience

Graduate Research Assistant, Wireless Networking & Communication Group (WNCG)
Supervisor: Prof. Haris Vikalo
Aug 2019—Present
    I joined WNCG as a Graduate Research Assistant, and I am working on decenteralized and privacy-preserving machine learning/optimization algorithms.
Lab Member, Machine Learning & Computaional Modeling (MLCM) Lab
Supervisor: Prof. Babak N. Araabi
Aug 2018—Present
    I joined MLCM to pursue my bachelor thesis entitled: "Sparse Subspace Clustering; and its applications in human motion segmentation". I worked on its theoretical analysis and extensions to deal with practical data to address the problem of motion segmentation in computer vision.
Research Intern, Secure Communication Lab (SCL)
Supervisor: Prof. Mohammad Ali Akhaee
Summer 2017
    I worked on classification of distorted images with deep convolutional neural networks using PyTorch. The effect of different distortions (motion blur, defocus blur, gaussian noise,and combination of all distortions) on the classification accuracy has been examined by implementing various CNNs.

Teaching Experience

Graduate Teaching Assistant, University of Texas at Austin
  • Fall 2019
    EE 460J: Data Science Lab, Prof. Constantine Caramanis
Undergraduate Teaching Assistant, University of Tehran
  • Spring 2019
    Pattern Recognition [Grad. Course], Prof. Babak N. Araabi
    Linear Algebra, Prof. Farzad Rajaei salmasi
    Probability and Statistics, Prof. Mohammad-Reza A. Dehaqani
  • Fall 2018
    Pattern Recognition [Grad. Course], Prof. Babak N. Araabi
    Statistical Inference [Grad. Course], Prof. Mohammad-Reza A. Dehaqani
    Probability and Statistics, Prof. Behnam Bahrak
    Discrete Mathematics, Prof. Siamak Mohammadi
    Communication Systems I, Prof. Ali Olfat
  • Spring 2018
    Digital Signal Processing, Prof. Mohammad Ali Akhaee
    Discrete Mathematics, Prof. Siamak Mohammadi
    Communication Systems I, Prof. Ali Azam Abasfar
  • Fall 2017
    Probability and Statistics, Prof. Amirmasoud Rabiee
    Engineering Mathematics, Prof. Mehdi Tale Masouleh
  • Spring 2017
    Probability and Statistics, Prof. Amirmasoud Rabiee
    Signals and Systems, Prof. Amirmasoud Rabiee
    Engineering Mathematics, Prof. Mehdi Tale Masouleh
Instructor, IEEE Student Branch IUST
Summer 2016
Teaching basic FPGA in the classes held by IEEE Student Branch at Iran University of Science and Technology
Lecturer, Allameh Helli High School
2015—2016
Teaching in the classes for preparing high school students to participate in the National Physics Olympiad

Skills

Programming Languages
  • Proficient in C/C++, Python, Matlab, R, LaTex
  • Familiar with HTML, CSS, Verilog/System Verilog
Engineering Softwares & Platforms:
  • PyTorch, TensorFlow
  • NumPy, scikit-learn
  • PSpice, HSpice, Modelsim, Quartus
  • Wireshark, NS-3 (Discrete-event computer network simulator)

Contact

Email: Phone:
    +1 (512) 871-9219
Address:
    Department of Electrical and Computer Engineering,
    University of Texas at Austin,
    2501 Speedway,
    Austin, TX 78712