Research Lab

About the Lab

Our research focuses on artificial intelligence, computer vision, medical imaging, and emerging quantum machine learning methods. We are particularly interested in developing practical and trustworthy AI methods for biomedical and healthcare applications.

Research Areas

• Medical Image Analysis
• Breast Cancer Risk Prediction
• Medical Video Understanding
• Trustworthy & Efficient AI
• Quantum Machine Learning

Current Research Projects

1. Breast Cancer Risk Prediction from Longitudinal Mammograms
2. AI for Medical Ultrasound and Video Analysis
3. Quantum Machine Learning for Medical Imaging
4. Robust and Trustworthy Medical AI

View selected funded projects

Research Team

Faculty

• Meng Xu, Ph.D.
  Assistant Professor, Department of Computer Science and Technology
  Kean University
• Kuan Huang, Ph.D.
  Assistant Professor, Department of Computer Science and Technology
  Kean University

Graduate Students

• Skyler LaFisca
• Gustavo Garcia Vargas

Undergraduate Researchers

• Madeline Jewett
• Allen Ramirez

Lab Alumni

• Rayleen Ramos — See her work
• Cesar Marte Jimenez

Research Opportunities

My research team is always looking for self-motivated undergraduate and graduate students interested in joining our projects. Please feel free to contact me directly about volunteer or, when available, paid research opportunities.

• Undergraduate students: Should have completed or be currently taking a Data Structures course.
• Graduate students: No specific course prerequisites are required.
• Requirements for all students: Strong coding skills, high self-motivation, and a genuine eagerness to learn.

Prospective M.S. and Ph.D. students interested in joining my research group are also welcome to contact me. Please email your CV and a brief description of your research interests to meng.xu@kean.edu.