cv
Basics
| Name | Soheila Farokhi |
| Label | PhD Candidate |
| soheila.farokhi@usu.edu | |
| Url | https://soheilafarokhi.github.io/ |
| Summary | Ph.D. candidate in Computer Science, focusing on graph machine learning (including temporal/dynamic graphs). Currently fine-tuning a Graph Language Model (GLM) that fuses graph structure with LLMs for classification, link prediction, and reasoning on text-attributed graphs, trained with multi-GPU and batched inference; prior work includes large-scale Python/SQL pipelines and user-behaviour prediction. |
Work
-
2026.01 - Present -
2025.08 - 2025.12 Graduate Teaching Assistant
Utah State University
Assisted with the Intoduction to Data Analysis course.
-
2025.01 - 2025.05 -
2024.08 - 2024.12 Graduate Teaching Assistant
Utah State University
Assisted with the Computer Vision: Foundations and Applications course.
-
2023.08 - 2023.12 Graduate Teaching Assistant
Utah State University
Assisted with the Computer Vision: Foundations and Applications course.
-
2022.08 - Present Graduate Research Assistant
Utah State University
Conducting research on graph representation learning and its applications in educational technology, social network analysis, and recommender systems.
-
2019.05 - 2022.07 -
2017.12 - 2019.03
Education
Awards
- 2025
Graduate Enhancement Award
Utah State University
Awarded to twenty graduate students university-wide for sustained excellence in academics, contributions to their field, advancement of knowledge through education, and community service.
- 2024
College of Science Graduate Seely-Hinckley Scholarship
Utah State University
Awarded to one nominated graduate student per college annually for academic excellence.
- 2024
College of Science Charles Sorenson Graduate Scholarship
Utah State University
Recognized for academic ability, leadership, and personal integrity.
- 2015
Bronze Medal
Iranian Mathematical Society
Publications
-
2026.01.14 TAWRMAC: A Novel Dynamic Graph Representation Learning Method
The ACM Web Conference, 2026. Proceedings forthcoming.
-
2025.06.09 Application of Gemini in Public Health Amid the Artificial Intelligence Era
IEEE Engineering Management Review
-
2024.12.15 Advancing Tabular Data Classification with Graph Neural Networks: A Random Forest Proximity Method
2024 IEEE International Conference on Big Data
-
2024.09.02 EDGE-UP: Enhanced Dynamic GNN Ensemble for Unfollow Prediction in Online Social Networks
International Conference on Advances in Social Networks Analysis and Mining
-
2024.07.17 Navigating the Data-Rich Landscape of Online Learning: Insights and Predictions from ASSISTments
17th International Conference on Educational Data Mining
-
2023.10.09 Enhancing the performance of automated grade prediction in mooc using graph representation learning
2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA)
-
2020.08.28 Computing Boundary Cycle of a Pseudo-Triangle Polygon from Its Visibility Graph
Topics in Theoretical Computer Science: Third IFIP WG 1.8 International Conference
Skills
| Programming | |
| Python | |
| Java | |
| MATLAB |
| Framworks & Tools | |
| PyTorch | |
| TensorFlow | |
| DGL | |
| PyG | |
| OpenCV |
Languages
| Persian/Farsi | |
| Native speaker |
| English | |
| Fluent |
Interests
| Machine Learning with Graphs | |
| Graph Neural Networks | |
| Graph Representation Learning | |
| Dynamic Graphs | |
| Recommender Systems |
References
| Dr. Hamid Karimi | |
| PhD Advisor. |
| Dr. Xiaojun Qi | |
| PhD Co-advisor. |
| Dr. Alireza Zarei | |
| MSc Advisor |