59.8
Mehdi R. Zargham
University of Dayton
Mehdi R. Zargham's research contributions span multiple fields of study, including machine learning, computer vision, and cybersecurity. Their work on machine-learning exercises demonstrates expertise in developing efficient algorithms for low-computational devices. The 3D face reconstruction technique from front and profile images extends to vulnerable software vulnerability discovery prediction without a database, enhancing security analysis. Security analysis also benefits from the analysis of VPN configurations in industrial control environments and real-time vector quantization and clustering based on ordinary differential equations. Additionally, Zargham's research on fast fusion of medical images using Bayesian risk minimization and Pixon maps has practical implications for healthcare.