Manish Dhakal

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Ph.D. Student, UTK

Efficient ML | CV | NLP

Manish Dhakal is a Ph.D. student in Industrial Engineering at the University of Tennessee, Knoxville, supervised by Dr. Yi Ding. He received his M.S. in Computer Science from Georgia State University. His research focuses on efficient adaptation and knowledge compression of foundation models, from large language models (LLMs) and vision-language models to vision-language-action (VLA) models, making them cheaper to specialize and deployable on resource-constrained hardware. His publications have been presented at premier venues, such as EMNLP, WACV, MICCAI, ACCV, IJCNLP-AACL, CVPR-W, etc.

News

Sep 01, 2026 A paper on federated LoRA adaptation of BiomedCLIP for chest X-rays has been accepted to DeCaF @ MICCAI, 2026.
Aug 20, 2026 A paper on LLM safety and knowledge distillation has been accepted to EMNLP (Findings), 2026.
Aug 01, 2026 Started the Ph.D. in Industrial Engineering at the University of Tennessee, Knoxville, continuing research with Dr. Yi Ding.
Jul 31, 2026 Graduated with an M.S. in Computer Science from Georgia State University.
Apr 10, 2026 A paper on parameter-efficient fine-tuning for gastrointestinal disease recognition has been accepted to PHAROS @ CVPR, 2026.