Alexander Feldman is a researcher in model-based diagnosis, artificial intelligence, and cyber-physical systems. One of his ambitions is to design novel algorithms that can accurately and efficiently find root causes of failure in various expensive or safety-critical devices such as satellites or power plants. He is also working on security of embedded systems.
Prior to joining PARC, Alexander worked as a postdoctoral researcher at University College Cork, and as a visiting researcher at École Polytechnique Fédérale de Lausanne (EPFL) and at Delft University of Technology.
Alexander obtained his Ph.D. (cum laude) in Computer Science (Artificial Intelligence) and an M.Sc. (cum laude) in Parallel and Distributed Computer Systems, both from the Delft University of Technology. He has over forty publications in leading conference proceedings and international journals covering topics in model-based diagnosis, artificial intelligence, and engineering. In cooperation with NASA Ames Research Center and PARC, he co-organized the International Diagnostic Competitions (DXC).