My Research
I've co-authored 4 research papers across computer vision, generative AI, vision-language learning, and large-scale ML systems.
I have 1 U.S. patent filing from my work on NoSQL workload forecasting and resource-aware placement optimization for distributed database systems.
Papers
SCLARO: A Dataset for Grounded Scenario-Level Scene Understanding and ScenarioCLIP for Benchmarking
WACV 2027 (Core A), Under Review
Relation-aware VLM with disentangled encoders and EMA-based intra-modal knowledge distillation for compositional scene understanding on the SCLARO Dataset.
Analyzing and Optimizing NoSQL Workloads for Cosmos DB
PVLDB Vol. 19 / VLDB 2026 (Core A*)
Characterization of NoSQL workload dynamics, tail-error prediction, and replica placement optimization across 100,000+ Azure Cosmos DB nodes.
Narrating For You: Audio-visual Narrating Face Generation
WACV 2026 (Core A)
Multi-entangled latent space for synchronized audio-video talking face generation from text prompts, voice profiles, and a single static identity image.
Patents
Workload Distribution Based on Projected Error Counts
Error-projection scheme that preemptively redistributes NoSQL workloads using forecasted error counts, helping prevent QoS violations across distributed database clusters.