Elham Jebalbarezi Sarbijan
Lead Research AI Scientist
Dr. Elham Barezi is a Lead AI Research Scientist working under the supervision of Dr. Carol Song at Rosen Center. Before joining RCAC, she worked as a research staff for Michigan State University, and as a project manager at the Center for AI Research at HKUST. She is experienced in the theory of machine learning, multimodal learning, and natural language processing. She has done projects in knowledge base analysis, visual question answering, multimodal therapy and personality recognition, multi-task and multi-label learning, and investigating compression and sampling methods for large-scale machine learning and deep neural networks.
Dr. Barezi achieved:
- PhD in AI with focus on theory and optimization for machine learning, and Nataral Language Processing (NLP),
- Thesis: Effiecient and Fast Methods for Multimodal and Multi-task Learning,
- Masters in AI with focus on image processing and 3D computer vision,
- Thesis: 3D reconstruction of soccer games,
- BSc in computer science and engineering,
- Thesis: Designing an efficient interrupt controller for Spark microcontrollers.
Elham will contribute to our AI computing efforts, including collaborating on research and cyberinfrastructure proposals, supporting researchers with her AI expertise, and training and engaging researchers to broaden access to AI resources.
Dr Barezi is currently hosting a Deep Learning Series. You can access the resources and videos on the topic. she will be acting as mentor for the Anvil REU 2025 cohorts. To see what she will be working on with her mentees, check out the projects page.