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PROFILE:

 

Alexander Feldman

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).

 

PARC publications

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2016

Diagnosing PARC's Refrigerator Benchmark with Data-Driven Methods}

The 27-th International Workshop on Principles of Diagnosis: DX-2016

4 October 2016

2009

 

 

 

other publications

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2015

How many diagnoses do we need?

Roni Tzvi Stern; Meir Kalech; Shelly Rogov; Alexander Feldman. Proceedings of the Twenty-Ninth Conference on Artificial Intelligence (AAAI 15)

2015

Model-based diagnosis using component model ensembles

Alexander Feldman; Gregory Provan; Rui Abreu; Johan de Kleer. Proceedings of the Ninth IFAC Symposium on Fault Detection Supervision and Safety of Technical Processes (SAFEPROCESS 15)

2015

2014

The diagnostic competitions

Alexander Feldman; Johan de Kleer; Tolga Kurtoglu; Sriram Narasimhan; Scott Poll; David Garcia; Lukas Kuhn; Arjan van Gemund. AI Magazine

5 September 2010

Diagnosing analogue linear systems using dynamic topological reconfiguration

Alexander Feldman; Gregory Provan. Proceedings of the Twenty-Eighth Conference on Artificial Intelligence (AAAI 14)

2014

2013

Model-based diagnostic decision-support system for satellites

Alexander Feldman; Helena Vicente de Castro; Arjan van Gemund; Gregory Provan. Proceedings of the IEEE Aerospace Conference 2013

2013

Machine-learning-based circuit synthesis

Lior Rokach; Meir Kalech; Gregory Provan; Alexander Feldman. Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI 13); 2013; 1635--1641.

2013

2012

Modeling and benchmarking ultra-wideband localization for mobile robots

Alexander Bahr; Alexander Feldman; James Colli-Vignarelli; Stephan Robert; Catherine Dehollain; Alcherio Martinoli. Proceedings of the 2012 IEEE International Conference on Ultra-Wideband (ICUWB 12)

2012

Exploring the duality in conflict-directed model-based diagnosis

Roni Stern; Meir Kalech; Alexander Feldman; Gregory Provan. Proceedings of the Twenty-Sixth Conference on Artificial Intelligence (AAAI 12)

2012

2011

Toward the deployment of an ultra-wideband localization test bed

Alexander Feldman; Alexander Bahr; James Colli-Vignarelli; Stephan Robert; Catherine Dehollain; Alcherio Martinoli. Proceedings of the Seventy-Fourth IEEE Conference on Vehicular Technology (VTC 11-Fall) San Francisco California USA; 2011; 1--5.

2011

A discrete-component impulse-radio ultra-wide band (IR-UWB) receiver with I/Q demodulation

James Colli-Vignarelli; Alexander Feldman; Stephan Robert; Catherine Dehollain. Proceedings of the Seventh Ph.D. Conference on Research in Microelectronics and Electronics (PRIME 11)

2011

2010

A model-based active testing approach to sequential diagnosis

Alexander Feldman; Gregory Provan; Arjan van Gemund. Journal of Artificial Intelligence Research

12 October 2010

Empirical evaluation of diagnostic algorithm performance using a generic framework

Alexander Feldman; Tolga Kurtoglu; Sriram Narasimhan; Scott Poll; David Garcia; Johan de Kleer; Lukas Kuhn; Arjan van Gemund. International Journal of Prognostics and Health Management

6 July 2010

Approximate model-based diagnosis using greedy stochastic search

Alexander Feldman; Gregory Provan; Arjan van Gemund. Journal of Artificial Intelligence Research

2009

Solving strong-fault diagnostic models by model relaxation

Alexander Feldman; Gregory Provan; Arjan van Gemund. Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI 09)

2009

FRACTAL: Efficient fault isolation using active testing

Alexander Feldman; Gregory Provan; Arjan van Gemund. Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI 09)

2009

Computing multiple minimal diagnoses

Alexander Feldman; Gregory Provan; Arjan van Gemund. Proceedings of the First Annual Conference of the Prognostics and Health Management Society (PHM 09)

2009

2008

A framework and algorithm for model-based active testing

Alexander Feldman; Gregory Provan; Arjan van Gemund. Proceedings of the First International Conference on Prognostics and Health Management (PHM 08)

2008

Computing observation vectors for max-fault min-cardinality diagnoses

Alexander Feldman; Gregory Provan; Arjan van Gemund. Proceedings of the Twenty-Third National Conference on Artificial Intelligence (AAAI 08)

2008

Computing minimal diagnoses by greedy stochastic search

Alexander Feldman; Gregory Provan; Arjan van Gemund. Proceedings of the Twenty-Third National Conference on Artificial Intelligence (AAAI 08)

2008

2007

Advances in intelligent health reasoning and its application to IBDM

Alexander Feldman; Marco Caporicci; Oscar Gracia; André Bos. Proceedings of the IEEE Aerospace Conference 2007

2007

2006

All roads lead to fault diagnosis: model-based reasoning with Lydia

Alexander Feldman; Jurryt Pietersma; Arjan van Gemund. Proceedings of the Eighteenth Belgium-Netherlands Conference on Artificial Intelligence (BNAIC 06)

2006

A two-step hierarchical algorithm for model-based diagnosis

Alexander Feldman; Arjan van Gemund. Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI 06)

2006

Modeling and compilation aspects of fault diagnosis complexity

Jurryt Pietersma; Alexander Feldman; Arjan van Gemund. Proceedings of IEEE AUTOTESTCON 06

2006

 

 

 

 

competencies

 

 

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