Elham Jebalbarezi Sarbijan
Lead Research AI Scientist
Dr. Elham Barezi is a Lead AI Research Scientist at Rosen Center, working under the supervision of Dr. Carol Song. Her extensive background includes serving as a research staff member at Michigan State University and as a project manager at the Center for AI Research at HKUST. Dr. Barezi specializes in machine learning theory, multimodal learning, and natural language processing, with expertise spanning knowledge base analysis, visual question answering, multimodal therapy and personality recognition, multi-task and multi-label learning, and compression and sampling methods for large-scale machine learning and deep neural networks.
Education & Qualifications
- PhD in Artificial Intelligence – Theory and optimization for machine learning and Natural Language Processing (NLP)
- Dissertation: Efficient and Fast Methods for Multimodal and Multi-task Learning
- Master's in Artificial Intelligence – 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
Current Contributions
Dr. Barezi plays a vital role in advancing AI computing efforts at RCAC through:
- Collaborating on research and cyberinfrastructure proposals
- Supporting researchers with specialized AI expertise
- Training and engaging researchers to broaden access to AI resources
Connect & Publications
Engagement & Leadership
Deep Learning Series: Dr. Barezi hosts an ongoing educational series. Access resources and videos covering cutting-edge deep learning topics.
Anvil REU 2025: Serving as a mentor for the Research Experiences for Undergraduates cohort. View mentorship projects and research opportunities.