AI Researcher | M.Sc. in Artificial Intelligence | Graph Neural Networks & Geometric Deep Learning
I am an AI researcher with a strong background in graph neural networks, latent graph structure learning, and multimodal representation learning. My work focuses on learning graph topologies from non-graph data and understanding how information propagates through learned structures—with applications in healthcare and biomedical AI.
🔬 I am actively seeking Research positions in Graph Machine Learning, Geometric Deep Learning, and Multimodal AI for Healthcare. If your lab works on:
- Graph Neural Networks & Geometric Deep Learning
- Graph representation learning / Latent graph structure learning
- Multimodal learning for biomedical applications
... let's talk.
📧 Email: ZeinabRahbar2022@gmail.com
🌐 Website: zeinabrahbar.github.io
🔗 LinkedIn: linkedin.com/in/zeinab-rahbar
- Graph Neural Networks (GNNs)
- Geometric Deep Learning
- Graph Representation Learning & Latent Graph Structure Learning
- Multimodal Learning (text, vision, clinical data)
- AI for Healthcare & Biomedical Data
- Developed differentiable latent graph structure learning frameworks for multimodal data
- Applied to disease prediction (TADPOLE / Alzheimer's, ABIDE / Autism) achieving best reported results on ABIDE
- Extended to Visual Question Answering (VQA v2.0) – the first graph-level structure learning approach for VQA
- Supervised by Dr. Peyman Adibi (University of Isfahan) & Dr. Alireza Darvishy (ZHAW, Switzerland)
-
Graph Convolutional Networks with Random Weights – Independent PyTorch implementation of the IEEE TPAMI 2023 paper. No public code was available at the time – I built it from scratch.
🔗 View Repository → -
GNN-based Visual Question Answering – Investigated graph structure learning for relational reasoning on VQA v2.0
| Role | Organization | Period |
|---|---|---|
| Machine Vision Engineer | HoopadVision | Feb 2024 – Mar 2025 |
| Python Instructor | Yasan Academy | 2023 – 2024 |
| Teaching Assistant – Machine Learning | University of Isfahan (Dr. Adibi) | 2022 – 2025 |
| Teaching Assistant – Computer Basics | University of Isfahan (Dr. Ehsani) | 2022 – 2025 |
| Teaching Assistant – Discrete Mathematics | Arak University (Dr. Amiri) | 2022 |
- M.Sc. in Computer Engineering (Artificial Intelligence) – University of Isfahan (2022–2025)
- B.Sc. in Computer Engineering – Arak University (2018–2022)
| Category | Technologies |
|---|---|
| Languages | Python, C++ |
| Deep Learning | PyTorch, TensorFlow, PyTorch Geometric (PyG), DGL |
| Scientific Computing | NumPy, scikit-learn, Pandas, Matplotlib |
| Tools & Deployment | Docker, Git, Linux, FastAPI, VS Code |
| Languages | Persian (Native), English (IELTS 7.0), French (A1) |
I'm open to research collaborations and PhD opportunities. Feel free to reach out:
📧 Email: ZeinabRahbar2022@gmail.com
🌐 Website: zeinabrahbar.github.io
🔗 LinkedIn: linkedin.com/in/zeinab-rahbar
🐙 GitHub: github.com/ZeinabRahbar
“I study how to learn the hidden graph structure connecting multimodal data — text, images, and clinical measurements — instead of assuming a fixed one, so models can propagate information the way the underlying system actually works.”