Sina Firuzbakht

AI & Network Science Researcher

Specializing in Graph Neural Networks, Complex Systems Analysis, and Network Science. Exploring the intersection of AI and network structures to solve interdisciplinary challenges.

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About Me

Sina Firuzbakht

I am a researcher in artificial intelligence and network science, with a strong passion for understanding complex systems in infrastructure, social dynamics, and biology. My expertise lies in graph neural networks, deep learning, and topological analysis of networks, enabling me to model and address real-world challenges.

My previous work spans from analyzing infrastructural and social networks to uncovering cellular communication patterns in cancer. I am eager to pursue a Ph.D. in network science to develop innovative, network-driven approaches for solving interdisciplinary challenges.

Currently, I'm working at the Laboratory of System Biology and Bioinformatics (LBB) at the University of Tehran, where I conduct gene co-expression network analysis and single-cell analysis for cancer progression studies. I also implement deep learning techniques for pathology image normalization and tumor staging.

Education

2023

M.Sc., Information Technology Engineering

University of Tehran, Tehran, Iran

  • GPA: 18.03/20 (4.0/4.0)
  • Thesis: Predicting viral hashtags with graph neural networks
  • Ranked 1st among 10 students in the cohort
2018

B.Sc., Information Technology Engineering

Islamic Azad University, Hamedan, Iran

  • GPA: 14.30/20 (3.0/4.0)

Research Interests

Complex Networks

Studying the structure and dynamics of complex networks across various domains

Graph Neural Networks

Developing and applying graph neural networks to solve complex problems

Infrastructure Networks

Analyzing and optimizing infrastructure networks for improved resilience and efficiency

Biological Networks

Exploring biological networks to understand disease mechanisms and cellular processes

Social Networks Analysis

Investigating social dynamics and information diffusion in online social networks

Spatiotemporal Network Analysis

Analyzing networks that evolve over time and space to uncover patterns and dynamics

Deep Learning

Applying deep learning approaches for complex pattern recognition and prediction

Probabilistic Graphical Models

Using statistical models to represent complex probability distributions

Research Experience

2023 - Present

Laboratory of System Biology and Bioinformatics (LBB)

University of Tehran

  • Conducted gene co-expression network analysis and single-cell analysis for cancer progression studies
  • Implemented deep learning techniques for pathology image normalization and tumor staging
2020 - 2023

Research Assistant

University of Tehran, Department of Interdisciplinary Technology

  • Researched graph neural networks for predicting social media virality and the analysis of complex networks
  • Analyzed hub nodes and their influence on network structure and performance

Work Experience

2024

AI Project Manager

Student Affairs Organization

  • Analysis, Planning, and Implementation of the Student Affairs Organization Automation Project
2021

Senior Data Scientist

Panto Health Company

  • Worked on predictive maintenance of electric trains using deep learning and computer vision techniques

Publications

Papers in Preparation

Technical Skills

Programming Languages

Python 95%
R 90%
C++ 75%
JavaScript 70%

Frameworks & Libraries

PyTorch 90%
NetworkX 95%
DGL 85%
MONAI 80%
OpenCV 85%

Tools & Technologies

WGCNA 90%
Single-Cell Analysis 85%
Gephi 90%
OSMnx 85%
LaTeX 80%

Selected Advanced Courses

Probabilistic Models

Grade: 17.5/20

Instructor: Dr. M. Khansari

Complex Networks

Grade: 18.5/20

Instructor: Dr. M. Salehi

Analysis of Information Networks

Grade: 18.7/20

Instructor: Dr. M. Salehi

Machine Learning and Data Mining

Grade: 16.5/20

Instructor: Dr. H. Zare

Social Networks Analysis

Grade: 19.8/20

Instructor: Dr. H. Zare

Mathematical Theory of Systems

Grade: 18.5/20

Instructor: Dr. M. Ebrahimi

Honors & Awards

Certificates

Teaching Experience

Teaching Assistant

University of Tehran

  • Course: Network Science (Instructor: Dr. M. Khansari)

Teaching Assistant

University of Tehran

  • Course: Analysis of Information Networks (Instructor: Dr. M. Salehi)

References

Dr. Mohammad Khansari
Associate Professor, Faculty of Intelligent Systems and Data Science, University of Tehran

Phone: +98(21)8609-3185

Email: m.khansari@ut.ac.ir

Dr. Ali Masoudi-Nejad
Professor, Institute of Biochemistry and Biophysics, University of Tehran

Phone: +98(21)6616-4275

Email: amasoudin@ut.ac.ir

Dr. Mostafa Salehi
Associate Professor, Faculty of Intelligent Systems and Data Science, University of Tehran

Phone: +98(21)8609-3298

Email: mosta_salehi@ut.ac.ir

Dr. Hadi Zare
Associate Professor, Faculty of Intelligent Systems and Data Science, University of Tehran

Phone: +98(21)8609-3059

Email: h.zare@ut.ac.ir

Contact Me