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Research Interests
Research Interests
Medical Imaging
Biomedical Signal Processing
AI in Healthcare
Machine Learning (Deep Learning)
Pattern Recognition
Computer Vision
current research
current research
AGentic ai review
AGentic ai review
Agentic AI in Biomedical and Healthcare: A Modality-Centric Review of Emerging Frameworks, Open Challenges, and Future Directions.
The article is under review at Artificial Intelligence Review, 2026.
LLM Triage (Calibrated)
LLM Triage (Calibrated)
ConfTriage: A Calibration‑Aware LLM Triage Framework for Pulmonary Nodule Malignancy with Selective Specialist Deferral.
The article is under review at IEEE JBHI, 2026.
multimodal diagnosis
multimodal diagnosis
A Multimodal Interpretable Approach to Lung Nodule Diagnosis from CT with Radiology and Anatomy-Aware Text.
The article is under review at TRPMS, 2025.
Bayesian Knowledge
Bayesian Knowledge
Bayesian Probabilistic Knowledge from Diameter Prior for Decision Fusion to Detect Lung Nodule Heterogeneity.
The article is ACCEPTED in IEEE TAI, Feb 2026.
cardiac segmentation
cardiac segmentation
CoST-UNet: Convolution and Swin Transformer based Deep Learning Architecture for Cardiac Segmentation.
The article is published in BSPC, October 2024.
RESEARCH WORK GALLERY
RESEARCH FIELD GALLERY
Research eXPERIENCE
Research eXPERIENCE
Artificial intelligence is a field I am very passionate about. I am currently a PhD researcher in the Department of Electrical and Computer Engineering at Texas A&M University, College Station, TX, USA. My research focuses on medical imaging, biomedical signal processing, disease diagnosis, multimodal learning, and interpretable AI for healthcare applications. More recently, I have been working on integrating LLMs, clinical reasoning, and agentic AI for clinical decision support. So far, I have worked with 1D (EEG, ECG), 2D (echocardiogram, ultrasound, MRI), and 3D (CT scans) datasets covering various human anatomies, including the heart, lung, and skin. In addition, during my MSc and BSc research, I worked on applications including emotion recognition, fall detection, text detection, and skin lesion classification. I completed courses in Pattern Recognition, Machine Learning for Signal Processing, Survey of Optimization, Data Mining, Information Theory, and Inference and Learning Algorithms at Texas A&M University. I have also completed online courses on Deep Learning through Coursera.
Research Articles and Dataset Sources
searching article ?
searching article ?
searching Dataset ?
searching Dataset ?
NIH National Cancer Institute Cancer Data Access System.
List of Medical Image Dataset Sources in a GitHub Link
Open-Access Medical Image Repositories (a Personal Website)
HUMAN SUBJECT RESEARCH?
Important Training
Human Research Protection Foundational Training, U.S. Department of Health and Human Services.
Course/ Training from Collaborative Institutional Training Initiative (CITI)
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