Sepideh Neshatfar

Data scientist/Researcher

Interested in Graph-Neural-Networks Robust-Subgrpah-Learning Graph-Learning-Efficiency Data-Science Machine-Learning Natural-Language-Processing

About

I am a fourth-year doctoral student with experience in developing graph neural network frameworks that are enhanced in robustness, efficiency, and performance. Skilled in Python programming and frameworks like PyTorch, DGL, and PyG. Able to use data science and programming skills to successfully manage projects to completion and achieve innovation in computer science.

Top 0.01%

in The National University Entrance Exam

Top 2%

of students of senior year of high school

Top 25%

of the same field students of senior year of undergraduate education

IEEE

Machine Learning Certificate

TOEFL

106
R: 30- L: 27- S: 23- W: 26

Experience

Machine Learning Researcher(Research Assistant)

Graph Domain Adaptation, Robust Subgrph Learning, Graph Summarizing, Object Detection frameworks in Python

University of Maine

Deep Learning and NLP developer(Internship)

Website Content Classification framework in Python

Institute of Artificial Intelligence

Students' Lecturer and Grader(Teaching Assistant)

Courses: Foundation of Computer Science, Programming Languages, Formal Foundation Info Systems, Computer Architecture, C programming

Isfahan University of Technology University of Maine

Education

Computer Science

Ph.D.(Ongoing)

GPA: 3.76

University of Maine

Computer Science

Master

GPA: 3.76

University of Maine

Computer Engineering (Information Technology)

BSCEN

GPA: 3.46 out of 4.33

Isfahan University of Technology

Math

Diploma

Farzanegan(NODET)

My Expertise

Graph Neural Networks

DGL, PyG, Robustness, Efficiency, Performance

Python
Programming Language

PyTorch

Deep learning

Object Detection Networks, Graph Convolutional Network