معرفی
Cheng-Bang Chen is an Assistant Professor in the College of Engineering at the University of Miami. His work bridges artificial intelligence, biomedical engineering, and data science with applications in healthcare diagnostics, surgical outcomes analysis, and biomechanics. He holds an ORCiD identifier (0000-0003-0025-6447) and can be reached via cxc1920@miami.edu.
Research interests focus on developing AI-driven solutions for medical imaging (e.g., prostate cancer diagnosis enhancement), surgical metrics optimization (RVU/operative time correlations), and complex systems analysis using recurrence quantification methods. His multidisciplinary approach integrates machine learning with traditional engineering domains like energy systems and supply chain configurations.
Recent publications (2023-2025) emphasize AI ethics in healthcare, novel surgical outcome prediction models, and biomechanical studies involving weightlifting techniques. He explores synthetic data generation to address algorithmic bias in medical diagnostics and develops advanced neural network architectures for predictive analytics.
Awards and grants sections remain under development pending additional profile information. Current work involves collaborations across engineering, medical, and data science domains at the University of Miami.
