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Alexander Feldman is a founder and a president of General Diagnostics, a privately owned AI lab in Delft, The
Netherlands. Alexander Feldman worked as a postdoc at
University College Cork and a visiting researcher at Ecole
Polytechnique Fédérale de Lausanne (EPFL), Delft University of Technology, and PARC Incorporated (former Xerox
PARC). He obtained his Ph.D. (cum laude) in computer sci-ence/artificial intelligence and M.Sc. (cum laude) in parallel
and distributed systems from the Delft University of Technology. He has published in leading conference proceedings
and international journals covering topics in artificial intelligence, model-based diagnosis, and engineering. In cooperation with NASA Ames Research Center and PARC,
Alexander Feldman coorganized the International Diagnostic Competitions (DXC). Feldman’s interest cover a wide
spectrum, including topics such as model-based diagnosis,
automated problem solving, software and hardware design,
design of diagnostic space applications, digital signal processing, and localization.
Johan de Kleer is a research fellow and area manager of the
model-based reasoning area at Xerox’s Palo Alto Research
Center. His core interest is building a system that can reason about the physical world as well as he can. de He received his Ph.D. from the Massachusetts Institute of Technology in 1979 in artificial intelligence. He has published
widely on qualitative physics, model-based reasoning, truth
maintenance systems, and knowledge representation. He
has coauthored three books: Readings in Qualitative Physics,
Readings in Model-Based Diagnosis, and Building Problem
Solvers. In 1987 he received the prestigious Computers and
Thought Award at the International Joint Conference on
Artificial Intelligence. He is a fellow of theAssociation for
the Advancement of Artificial Intelligence and the Association of Computing Machinery.
Tolga Kurtoglu is the director of PARC’s Design and Digital Manufacturing Program, where he leads business development, strategy, execution, and technology commercialization for a portfolio of software technologies serving
computer aided-design (CAD), product life-cycle management (PLM), and digital manufacturing markets. Recently,
he has been the project lead and PI for four DARPA projects: META, iFAB, C2M2L, and iFoundry. His research focuses on design and development of complex systems, applied intelligence for engineering systems, design theory
and methodology with a specialization in design creation
and innovation, and design automation and optimization.
His research spans the areas of model-based systems engineering, automated reasoning, prognostics and health
management, and risk and reliability-based design.
Sriram Narasimhan is a project scientist with the University of California, Santa Cruz working as a contractor at the
NASA Ames Research Center in the Discovery and Systems
Health area. His research interests are in model-based diagnosis with a focus on hybrid and stochastic systems. He is
the technical lead for the Hybrid Diagnosis Engine (HyDE)
project. He received his M.S. and Ph.D. in electrical engineering and computer science from Vanderbilt University.
He also has an MS in economics from Birla Institute of
Technology and Science.
Scott Poll received a BSE degree in aerospace engineering
from the University of Michigan, Ann Arbor, in 1994, and
an MS degree in aeronautical engineering from the California Institute of Technology, Pasadena, in 1995. He is a researcher at the National Aeronautics and Space Administration (NASA) Ames Research Center in Moffett Field, CA,
where he is the deputy lead for the Diagnostics and Prognostics Group in the Intelligent Systems Division. He is
coleading a laboratory designed to enable the development,
maturation, and benchmarking of diagnostic, prognostic,
and decision technologies for systems health management
David Garcia is a software developer in the Innovation,
Design, and Engineering Analytics (IDEA) team at the Palo
Alto Research Center, where he designs and implements
software solutions for various research projects. His current
focus is on data analytics and software solutions for health
care. Prior to joining PARC, Garcia worked at NASA Ames
Research Center, where he wrote software to aid research
performed by the Diagnostics and Prognostics group, and
led the development of the Diagnostic Competition Framework, a suite of software tools for evaluating and comparing diagnostic technologies. Garcia received his BS in math-