Yumei Huo

Dr. Yumei Huo is a Professor in the Department of Computer Science at the College of Staten Island, City University of New York (CUNY). Her work spans theoretical and applied domains, including combinatorial optimization, sequencing and scheduling, high performance computing, and medical imaging. She has developed and taught multiple HPC-focused courses and actively supervises undergraduate and graduate research.

• Education:
  • BS, University of Science and Technology (China)
  • MS, University of Science and Technology (China)
  • PhD, New Jersey Institute of Technology

Dr. Huo's research focuses on Sequencing and Scheduling, Combinatorial Optimization, Computational Complexity, Operations Research, High Performance Computing (HPC), and more recently, Medical Imaging and Big Data. Her recent publications apply deep learning and CNN models to lung nodule detection, polyp classification, and CT image analysis, demonstrating a shift toward biomedical data science.

Her recent publications (2018–2021) show a strong trend in applying machine learning to medical imaging, particularly in CT scans for lung and colon analysis. Earlier works focus on theoretical scheduling problems with constraints like machine availability, processing sets, and completion time optimization, indicating a foundation in algorithmic design and complexity theory.

Scientific Awards and Recognition:

• Extensive peer reviewer for over 40 journals and conference proceedings
• Reviewed more than 50 PSC-CUNY research grant proposals and Chancellor’s Research Fellowship applications
• Contributed to NSF/IEEE TCPP curriculum initiatives in parallel computing education

Dr. Huo has supervised numerous students on research projects and co-authored publications with them. She has also led curriculum development, including launching four HPC courses. She has no known active grants mentioned, but her sustained publication and educational contributions reflect ongoing research support. She is affiliated with research teams in algorithm design and medical imaging AI, particularly collaborating with researchers like H. Zhao, J. Y-T. Leung, and J. Tan.