About Me

Hello everyone, welcome to my website!

My name is Donya, I am a Ph.D. student at TTIC , under the supervision of Prof. Nati Srebro.

I am naturally curious about the world around me and very enthusiastic about math! and as one once said, "Beautiful math tends to be useful, and useful things tend to have beautiful math." It didn't take me so long to realize that understanding theoretical aspects of problems, particularly in Machine Learning, is a genuine delight to me.

"The beauty of mathematics only shows itself to more patient followers," and I would be lying if I said I was patient enough during my undergrad. I wanted to explore and experience as much as possible, touch different problems, get familiar with various fields, and of course, build a strong background for graduate school. I took various theoretical courses and worked as an intern in different places, from the Sharif University of Technology, Iran, to the Max Planck Institute, Germany, and the University of Texas at Austin, USA. I had the opportunity to get to know fantastic people from all around the world, work with them, and learn from them, resulting in a paper accepted in ICML 2021 Self Supervised Learning Workshop, with an extension accepted in NetSci-X 2022. I was fortunate to work on my Bachelor's Thesis under the supervision of Prof. Keshav Pingali from the University of Texas at Austin. I am the first Bachelor student in my university who has officially done her thesis internationally.

Education

Toyota Technological Institute at Chicago, IL, USA
Sept. 2022—Present
Ph.D. in Computer Science
University of Tehran, Iran
Sept. 2017—July 2022
B.Sc. in Electrical Engineering—Communications
GPA: 17.96/20.00 (Top 12%, Last year: 19.58)
Minor in Computer Engineering
Farzanegan High School, Iran
Sept. 2013—Jun. 2017
Diploma in Mathematics and Physics' Discipline
GPA: 20.00/20.00

Publications

  • Hierarchical Embedding for Hyper-Networks
    Sepideh Maleki, Donya Saless, Dennis P. Wall, Keshav Pingali
    Accepted in NetSci-X 2022 Conference (Published by Springer)
    The short version has been accepted in ICML 2021 Workshop: Self-Supervised Learning for Reasoning and Perception

Teaching Experience

Undergraduate Teaching Assistant, University of Tehran
  • Spring 2021
    Communication Systems, Prof. Sadaf Salehkalaibar
  • Fall 2020
    Probability and Statistics, Prof. Amir Masoud Rabiei
    Probability and Statistics, Prof. Behnam Bahrak
  • Spring 2020
    Electromagnetics, Prof. Mohammad Neshat
    Electronics I, Prof. Mohammadreza Kolahdouz
  • Fall 2019
    Digital Logic Design, Prof. Zainalabedin Navabi
    Signals and Systems, Prof. Mohammad Ali akhaee
  • Fall 2018
    Introduction to Computing Systems & Programming[Grading TA], Prof. Mahmoud Reza Hashemi

Skills

Programming Languages
  • C/C++, Python, Matlab, LaTex
  • R, HTML, CSS, Verilog/System Verilog
Engineering Softwares & Platforms:
  • Machine Learning Libraries: Scikit-learn, SciPy, NetworkX, CVX
    Familiar with: TensorFlow, Pytorch
  • PSpice, MultiSim, Modelsim, Quartus, Mathematica

Foreign languages

English, TOEFL iBT
Total: 114, Reading: 28, Listening: 30, Speaking: 30, Writing: 26
Apr. 2021
German, B2

Honors and Awards

  • Ranked 182 nationawide out of over 500,000 participants in B.Sc. Entrance Exam in Iran, Konkour
    Nov. 2017

Contact

Email: Address:
    Department of Electrical and Computer Engineering,
    University of Tehran