Bernard Cobbinah Mawuli

Bernard Cobbinah Mawuli is a postdoctoral researcher currently affiliated with the Aghaeepour Lab, where he focuses on developing machine learning models to predict postoperative patient outcomes using physiological data. His academic journey includes a BSc in Computer Science from Kwame Nkrumah University of Science and Technology, Ghana, followed by an MEng and PhD in Computer Science and Engineering from the University of Electronic Science and Technology of China.

• Education:
  • BSc in Computer Science, Kwame Nkrumah University of Science and Technology, Ghana
  • MEng and PhD in Computer Science and Engineering, University of Electronic Science and Technology of China

His research interests span Machine Learning, Artificial Intelligence in Healthcare, Alzheimer's Disease Prediction, and Federated Learning, with a focus on Distributed Evolving Concept Drift and Multivariate Time Series Analysis. He has applied these techniques to healthcare challenges such as visual acuity prediction and automatic labeling of dynamic datasets. While no scientific awards or publications are explicitly listed, his work bridges AI and clinical applications, aiming to enhance patient care through data-driven methodologies.