I am a PhD student in Computer Science at Georgia State University, where I focus on agentic reasoning and decision-making. My research centers on developing Large Language Model (LLM) agents that can autonomously reason, plan, and act to solve complex, multi-step tasks in dynamic environments.
My work explores how large language models can be augmented with structured reasoning capabilities—enabling them to break down complex problems, formulate action plans, and execute solutions. I also explore the application of diffusion models to enhance LLM performance, particularly in areas such as controlled text generation, semantic coherence, and multi-modal understanding.
I am a part of the Advanced Mobility & Augmented Intelligence Lab, advised by Dr. Haoxin Wang
My research interests include:
- Embodied agents: Designing autonomous agents that can reason, plan, and execute complex tasks
- Large Language Models: Advancing the reasoning and decision-making capabilities of LLMs
- Diffusion Models: Exploring novel applications of diffusion processes for enhanced language generation and understanding
- Multi-Agent Systems: Investigating collaboration and coordination mechanisms between multiple AI agents
I am always interested in collaborating on research projects, discussing new ideas in AI, or exploring potential applications of agentic systems. Feel free to reach out if you'd like to connect!
Projects
HierarchicalVLM: Efficient Long-Context Video Understanding via Hierarchical Temporal Aggregation
Contrastive Deep Learning for Variant Detection in Wastewater Genomic Sequencing
GraPO: Predicting Power Outages During Extreme Weather Events Using Graph-Based Methods
Predicting Hospital Readmission Risk from Electronic Health Records: A Comparative Study of Classical and Ensemble Models