Light Convolutional Neural Network for Detecting COPD: Multicenter Model Development and External Validation
medRxiv (under review at The Lancet Digital Health)
I turn hard ML problems into ships — medical imaging deployed across 21 hospitals, LLMs serving 30,000 users a day.
PhD dissertation: Precise Segmentation of Thin, Elongated, and Underrepresented Structures (UAB, 2026) · CS Outstanding PhD Student Award · Advisor: Dr. Chengcui Zhang
medRxiv (under review at The Lancet Digital Health)
Manuscript in preparation
Manuscript in preparation
IEEE/CVF WACV Workshops, 2024
EMNLP Industry Track, 2023
RTIP2R, 2018
Shipped systems that run in production today — government platforms, banking AI, and a RAG pipeline acquired by Promise.
NIH R01: Fissure Integrity Score — quantitative pulmonary fissure metric for COPD phenotyping. Lead developer of COPDxNet and STRIPE.
Led a 13-engineer team. Qwen2.5 VLM on Kagoj.ai (vLLM, L40S). Event-driven microservices on Kafka. Dorsal.fyi RAG pipeline.
PhD: Precise Segmentation of Thin, Elongated, and Underrepresented Structures. COPDxNet, STRIPE, THREAD, dCrack61K. NSF SaTC: ballot tabulation.
ocr.bangla.gov.bd. Triton + ONNX: 18.6× speedup. Grew the team from 3 to 10+, 10K+ daily requests, 99.5% uptime.
Taught AI and AI Lab. Shifted curriculum to project-based learning.
Research collaboration, AI systems work, or just a conversation.