About Me
I am an Associate Professor of Practice in the School of Applied and Creative Computing at Purdue University. I earned my Ph.D. in Computer Science from the University of Kentucky and my M.S. in Computer Science from Purdue University Indianapolis as a Fulbright Scholar.
My research spans artificial intelligence, computer vision, multimodal AI, and computing education, with applications in food computing, remote sensing, medical imaging, and AI-enhanced learning. My work focuses on developing AI-driven methods for analyzing visual and multimodal data and applying intelligent technologies to real-world problems and computing education.
At Purdue, I teach undergraduate and graduate courses in programming, machine learning, deep learning, and artificial intelligence.
Research at a Glance
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Computer Vision & Multimodal AI
Food computing, vision-language models, medical imaging, and visual understanding across real-world applications.
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Geospatial & Remote Sensing AI
Integrating visual, geographic, temporal, and acoustic information to understand and monitor our environment.
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Computing Education & AI
Interactive programming environments, AI-enabled learning tools, and evidence-based innovations in computing education.
Learn more →Recent News
View publications →- 2026Published Food Type and State Recognition with VLMs Using Different Prompting Strategies at the CVPR MetaFood Workshop.
- Aug. 2026Awarded an NSF IUSE grant to develop an interactive flowchart-to-code learning environment for introductory programming.
- 2026Published LoRA-SAM for chest X-ray segmentation in Diagnostics.
- 2026ChartCode: A Flowchart-Centric Programming Platform published at SIGCSE TS 2026.
- 2026Served on the organizing committee for the MetaFood Workshop at CVPR 2026 and presented our food computing research.
- 2025Presented Food Type Recognition Using Vision Language Models at the CVPR MetaFood Workshop.