About Me

Welcome to my professional homepage! I am Dr. Bryar Shareef, an Assistant Professor in the Department of Computer Science at the University of Nevada, Las Vegas. Before joining UNLV, I received my Ph.D. in Computer Science from the University of Idaho under the supervision of Dr. Min Xian. During my Ph.D., my research was primarily focused on leveraging artificial intelligence and machine learning to enhance healthcare outcomes, particularly through the development of advanced deep learning models for medical imaging. I designed a hybrid multitask CNN-Transformer network, which significantly improved tumor classification and segmentation in breast cancer detection using ultrasound. I am actively involved in the academic community as a reviewer for various scientific journals and conferences.

I have expanded my research to encompass a broader range of challenges in healthcare and artificial intelligence. My current work spans multiple areas:

Research Areas

Medical Image Analysis

Our research in medical image analysis focuses on breast cancer detection using advanced deep learning models. We work on breast ultrasound, histopathology images, and ophthalmology imaging to enhance diagnostic accuracy and patient outcomes.

Large Language Models (LLMs) and Large Vision Models (LVMs)

We explore the development and application of large language models and large vision models to improve understanding and inference in various domains, including healthcare and natural language processing.

Interpretable Models and Explainable Machine Learning

Our research aims to develop interpretable models and explainable machine learning techniques to foster trust and transparency in AI systems, particularly in critical applications like healthcare.

Electronic Health Records (EHRs)

We focus on analyzing electronic health records to identify trends and patterns. Our work highlights in-hospital cardiac arrest analysis, aiming to improve early detection and intervention strategies.

Multi-Task Learning for Brain MRI

Our research involves leveraging multi-task learning approaches to improve the analysis and diagnosis of brain MRI scans, enabling better understanding and treatment of neurological conditions.

🚀🧑‍💻️⚡Currently Recruiting❗❗❗

I am looking for motivated MS and PhD students with strong math and programming skills, particularly in large language models and AI-driven healthcare applications. If you are passionate about advancing medical imaging and diagnostics, please email me your CV and indicate your goals.