Regular biography
Deeph Chana is a Professor of Practice in the Business School (BUS) at Imperial College London. Their research interests and professional contributions are reflected in their profile page, which provides further details on their academic and professional activities. Chana is affiliated with the university's Business School and contributes to the academic community through their role as a Professor of Practice.
Scholar-generated biography
Deeph Chana is a Co-Director at the Institute for Security Science and Technology, Imperial College London, with expertise in Security-science, Deep-learning, Image processing, and Physics. Their research focuses on anomaly detection in industrial control systems using deep learning techniques such as LSTM networks and Bayesian filtering. They also explore cyber-physical systems security, including false data injection attacks and stealthy attack frameworks. Additionally, Chana investigates advanced imaging techniques like x-ray phase contrast imaging and coded apertures for homeland security applications. Their work addresses challenges in real-time anomaly detection and the ethical implications of AI in global contexts.