Mark Schwabacher

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Intelligent gradient-based search of incompletely defined design spaces

Andrew Gelsey, Mark Schwabacher, M. Schwabacher, 1997, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

A transformation system for interactive reformulation of design optimization strategies

Takahiro Murata, Mark Schwabacher, Thomas Ellman, 1995, Proceedings 1995 10th Knowledge-Based Software Engineering Conference.

Learning to set up numerical optimizations of engineering designs

Haym Hirsh, Mark Schwabacher, Thomas Ellman, 1998, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

General Purpose Data-Driven System Monitoring for Space Operations

Ryan Mackey, David L. Iverson, Mark Schwabacher, 2009 .

Learning to set up numerical optimizations of engineering designs

Haym Hirsh, Mark Schwabacher, Thomas Ellman, 1998 .

Integrated System Health Management (ISHM) for Test Stand and J-2X Engine: Core Implementation

Fernando Figueroa, Mark Schwabacher, John L. Schmalzel, 2008 .

Learning to Choose a Reformulation for Numerical Optimization of Engineering Designs

Haym Hirsh, Mark Schwabacher, Thomas Ellman, 1996 .

Intelligent Elements for the ISHM Testbed and Prototypes (ITP) Project

William A. Maul, Mark Schwabacher, Michael Watson, 2005 .

Unsupervised Anomaly Detection for Liquid-Fueled Rocket Propulsion Health Monitoring

Mark Schwabacher, Nikunj C. Oza, Bryan L. Matthews, 2007, J. Aerosp. Comput. Inf. Commun..

Automated Design Optimization for the P2 and P8 Hypersonic Inlets

Andrew Gelsey, Mark Schwabacher, Donald Smith, 1997 .

A Survey of Data -Driven Prognostics

Mark Schwabacher, M. Schwabacher, 2005 .

High-Performance Supersonic Missile Inlet Design Using Automated Optimization

Andrew Gelsey, Gecheng Zha, Khaled Rasheed, 1997 .

Inductive learning for engineering design optimization

Haym Hirsh, Mark Schwabacher, Thomas Ellman, 1996, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

Abstraction and Decomposition in Hillclimbing Design Optimization

Mark Schwabacher, Thomas Ellman, T. Ellman, 1993 .

Discovering Communicable Models from Earth Science Data

Pat Langley, Mark Schwabacher, Christopher Potter, 2007, Computational Discovery of Scientific Knowledge.

A Survey of Artificial Intelligence for Prognostics

Kai Goebel, Mark Schwabacher, K. Goebel, 2007, AAAI Fall Symposium: Artificial Intelligence for Prognostics.

Determining Mission Effects of Equipment Failures

Mark Schwabacher, Robert S. McCann, Jeremy Frank, 2014 .

General Purpose Data-Driven Online System Health Monitoring with Applications to Space Operations

David L. Iverson, Mark Schwabacher, Lilly Spirkovska, 2010 .

Using decision trees to detect and isolate simulated leaks in the J-2X rocket engine

Fernando Figueroa, Mark Schwabacher, Robert Aguilar, 2009, 2009 IEEE Aerospace conference.

Automated redesign of the NASA P8 hypersonic inlet using numerical optimization

Andrew Gelsey, Doyle Knight, Mark Schwabacher, 1996 .

Machine Learning for Rocket Propulsion Health Monitoring

Mark Schwabacher, 2005 .

Discovering Communicable Scientific Knowledge from Spatio-Temporal Data

Pat Langley, Mark Schwabacher, P. Langley, 2001, ICML.

Nparc simulation and redesign of the nasa P2 hypersonic inlet

Andrew Gelsey, Doyle Knight, Mark Schwabacher, 1995 .

The use of artificial intelligence to improve the numerical optimization of complex engineering designs

Andrew Gelsey, Mark Schwabacher, Thomas Ellman, 1996 .

NASA integrated vehicle health management technology experiment for X-37

Mark Schwabacher, Lee Brownston, Jeff Samuels, 2002, SPIE Defense + Commercial Sensing.

Ares I-X Ground Diagnostic Prototype

Mark Schwabacher, Rodney Martin, Robert D. Waterman, 2010 .

Unsupervised Anomaly Detection for Liquid-Fueled Rocket Propulsion Health Monitoring

Mark Schwabacher, Nikunj C. Oza, Bryan Matthews, 2007, Journal of Aerospace Computing Information and Communication.

Using Modeling Knowledge to Guide Design Space Search

Andrew Gelsey, Don Smith, Mark Schwabacher, 1998, Artif. Intell..

Human Spaceflight Ishm Technology Development

Mark Schwabacher, 2013 .

A search space toolkit: SST

Andrew Gelsey, Don Smith, Khaled Rasheed, 1996, Decis. Support Syst..

Learning prototype-selection rules for case-based iterative design

Haym Hirsh, Mark Schwabacher, Thomas Ellman, 1994, Proceedings of the Tenth Conference on Artificial Intelligence for Applications.

Multilevel modelling for engineering design optimization

Mark Schwabacher, Thomas Ellman, John Eric Keane, 1997, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

A System for Fault Management and Fault Consequences Analysis for NASA's Deep Space Habitat

David L. Iverson, Mark Schwabacher, Liljana Spirkovska, 2013 .

Learning When Reformulation is Appropriate for Iterative Design

Haym Hirsh, Mark Schwabacher, Thomas Ellman, 2007 .

General Purpose Data-Driven Monitoring for Space Operations

Ryan Mackey, David L. Iverson, Mark Schwabacher, 2012, J. Aerosp. Comput. Inf. Commun..

Data Mining for ISHM of Liquid Rocket Propulsion Status Update

Mark Schwabacher, Richard Watson, Ashok N. Srivastava, 2006 .

An Architecture to Enable Autonomous Control of Spacecraft

Ryan D. May, Timothy P. Dever, Liu Wang, 2014 .

Mining distance-based outliers in near linear time with randomization and a simple pruning rule

Stephen D. Bay, Mark Schwabacher, M. Schwabacher, 2003, KDD '03.

Multilevel Simulation and Numerical Optimization of Complex Engineering Designs

Andrew Gelsey, Mark Schwabacher, M. Schwabacher, 1998 .

Intelligent Model Selection for Hillclimbing Search in Computer-Aided Design

Mark Schwabacher, Thomas Ellman, John Eric Keane, 1993, AAAI.

Multi-level simulation and numerical optimization of complex engineering designs

Andrew Gelsey, Mark Schwabacher, M. Schwabacher, 1996 .

The Rutgers CAP Project Design Associate

Mark Schwabacher, M. Schwabacher, Thomas Ellman John Keane, 1992 .

Embedding Temporal Constraints For Coordinated Execution in Habitat Automation

Mark Schwabacher, K. Michael Dalal, Paul Morris, 2013 .

Aerospace Technologies Advancements : Evaluation of Anomaly Detection Capability for Ground .-Based Pre-Launch Shuttle Operations

Mark James, Ryan Mackey, Han Park, 2009 .

Data-Driven Anomaly Detection Performance for the Ares I-X Ground Diagnostic Prototype

Mark Schwabacher, Rodney Martin, Bryan Matthews, 2010 .