Mohammad Al-Antary

Mohammad Al-Antary is a Lecturer in Computer Science at the University of Greenwich's School of Computing and Mathematical Sciences. His PhD research focused on conformational changes in potassium channels using electrophysiological techniques. Current interests include machine learning, deep learning, and medical image analysis.

Research bridges computer science with biomedical applications. Collaborative projects involve interdisciplinary approaches to data challenges. Teaching emphasizes practical computational skills and theoretical foundations.

Laboratory work involves developing AI algorithms for biological data interpretation. Future research will explore neural networks for image segmentation in healthcare contexts.