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Invited and/or Volunteered Talks

6/25/2014: Green Tech Center, Vejle, Denmark

6/27/2014: Lund University, Sweden, Mathematical Statistics Department (arranged by Georg Lindgren)

9/5/2014: Stanford Intelligent Systems Laboratory

Select Publications - listed categorically and in reverse chronological order.
My name is highlighted in the same bold font as this text, as either first author or as a co-author.

Journal Articles

Bryan Matthews, Santanu Das, Kanishka Bhaduri, Kamalika Das, Rodney A. Martin, Nikunj Oza. Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms. Journal of Aerospace Information Systems. Vol. 10, No. 10 (2013), pp. 467-475.

Christopher Sconyers, Young-Ki Lee, Kilsoo Kim, Sehwan Oh, Dimitri Mavris, George Vachtsevanos, Nikunj Oza, Robert Mah, Rodney A. Martin, and Ioannis A. Raptis. Diagnosis of Fault Modes Masked by Control Loops with an Application to Autonomous Hovercraft Systems. International Journal of Prognostics and Health Management. Vol 4 (1) 007, pages: 15, 2013.

Rodney A. Martin. Optimal level-crossing prediction for jump linear MIMO dynamical systems. Automatica, 49(8):2440–2445, August 2013.

David L. Iverson, Rodney Martin, Mark Schwabacher, Lilly Spirkovska, William Taylor, Ryan Mackey, J. Patrick Castle, and Vijayakumar Baskaran. General Purpose Data-Driven System Monitoring for Space Operations. Journal of Aerospace Computing, Information, and Communication. 9(2):26-44, October 2012.

Rodney A. Martin. Extreme Value Analysis of Optimal Level-Crossing Prediction for Linear Gaussian Processes. Journal of Time Series Analysis, 33(4):583-607, July 2012.

Rodney A. Martin. Errata for “A State-Space Approach to Optimal Level-Crossing Prediction for Linear Gaussian Processes”. IEEE Transactions on Information Theory, 57(11):7658 - 7658, November 2011.

Rodney A. Martin. A State-Space Approach to Optimal Level-Crossing Prediction for Linear Gaussian Processes. IEEE Transactions on Information Theory, 56(10):5083 –5096, October 2010.

Clifford C. Federspiel, Rodney A. Martin, and Hannah Yan. Re-Calibration of the Complaint Prediction Model. International Journal of HVAC&R Research, 10(2):179-200, April 2004.

Book Chapters

Rodney A. Martin. Evaluation of Anomaly Detection Capability for Ground-Based Pre-Launch Shuttle Operations, In Aerospace Technologies Advancements, edited by Thawar T. Arif, ISBN: 978-953-7619-96-1, INTECH, January 2010.

Conference Papers

Rodney A. Martin, Upender Kaul. Optimization of Perturbation Parameters for Simulated Free Shear Layer Flow. In Proceedings of the 7th AIAA Flow Control Conference, AIAA Aviation and Aeronautics Forum and Exposition 2014 . Atlanta, GA, June 2014.

Chandrayee Basu, Benjamin Chen, Jacob Richards, Aparna Dhinakaran, Alice Agogino, Rodney A. Martin. Affordable and Personalized Lighting Using Inverse Modeling and Virtual Sensors. In Proceedings of the SPIE Conference on Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems. San Diego, CA, March 8 2014.

Rodney A. Martin, Scott Poll. Energy Analysis of Multi-Function Devices in an Office Environment. In ASHRAE Papers CD: 2014 ASHRAE Winter Conference. Atlanta: ASHRAE. New York City, New York, January 2014.

Jia Zhang, Zhipeng Li, Oscar Sandoval, Norman Xin, Yuan Ren, Rodney A. Martin, Bob Iannucci, Martin Griss, Steven Rosernberg, Jordan Cao, Anthony Rowe. Supporting Personalizable Virtual Internet of Things. In 2013 IEEE 10th International Conference on Ubiquitous Intelligence & Computing and 2013 IEEE 10th International Conference on Autonomic & Trusted Computing. Vietri sul Mare, Italy, December 2013.

Ioannis A Raptis, Christopher Sconyers, Rodney A. Martin, Robert Mah, Nikunj Oza, Dimitris Mavris, and George J Vachtsevanos. A Particle Filtering-based Framework for Real-time Fault Diagnosis of Autonomous Vehicles. In Proceedings of the International Conference on Prognostics and Health Management. New Orleans, Louisiana, October 2013.

Jianhua Ge, Brian LeFevre, Michael Roemer and Rodney A. Martin. Integrated Health Monitoring and Fault Adaptive Control for an Unmanned Hexrotor Helicopter. In Proceedings of the SAE 2013 AeroTech Congress & Exhibition. Montréal, Canada, September 24, 2013.

Thomas Pressburger (Invited), Brian Hoelscher, Rodney A. Martin, and Kumar Sricharan. Simple Sensitivity Analysis for Orion GNC. In Proceedings of the AIAA Guidance, Navigation, and Control Conference. Boston, MA, August 20, 2013.

Dimitry Gorinevsky, Bryan L. Matthews and Rodney A. Martin. Aircraft Anomaly Detection using Performance Models Trained on Fleet Data. In Proceedings of the Conference on Intelligent Data Understanding. Boulder, Colorado, October 2012.

Rodney A. Martin, Mark A. Schwabacher, Bryan L. Matthews. Data-Driven Anomaly Detection Performance for the Ares I-X Ground Diagnostic Prototype. In Proceedings of the International Conference on Prognostics and Health Management. Portland, Oregon, October 2010.

Mark A. Schwabacher, Rodney A. Martin, Robert D. Waterman, Rebecca L. Oostdyk, John P. Ossenfort, and Bryan L. Matthews. Ares I-X Ground Diagnostic Prototype. In Proceedings of the 57th Joint Army-Navy-NASA-Air Force Propulsion Meeting, Colorado Springs, CO, May 2010.
(Note: This paper is ITAR restricted, and was presented at the JANNAF conference in 2010. If you are a NASA employee and would like a copy, please contact me. )

Rodney A. Martin, Mark A. Schwabacher, and Bryan L. Matthews. Investigation of Data-Driven Anomaly Detection Performance for Simulated Thrust Vector Control System Failures. In Proceedings of the 57th Joint Army-Navy-NASA-Air Force Propulsion Meeting, Colorado Springs, CO, May 2010.
(Note: This paper is ITAR restricted, and was presented at the JANNAF conference in 2010. If you are a NASA employee and would like a copy, please contact me. )

Rodney Martin and Santanu Das. Near Real-Time Optimal Prediction of Adverse Events in Aviation Data. In Proceedings of the AIAA Infotech@Aerospace Conference, Atlanta, Georgia, April 2010.

Mark Schwabacher, Rodney Martin, Robert Waterman, Rebecca Oostdyk, John Ossenfort, and Bryan Matthews. Ares I-X Ground Diagnostic Prototype. In Proceedings of the AIAA Infotech@Aerospace Conference, Atlanta, Georgia, April 2010.

David L. Iverson, Rodney Martin , Mark Schwabacher, Lilly Spirkovska, William Taylor, Ryan Mackey, J. Patrick Castle. General Purpose Data-Driven System Monitoring for Space Operations. In Proceedings of the AIAA Infotech@Aerospace Conference, Seattle, Washington, April 2009.

Rodney A. Martin. An Investigation of State-Space Model Fidelity for SSME Data. In Proceedings of the International Conference on Prognostics and Health Management. Denver, CO, October 2008.

Rodney A. Martin, Mark Schwabacher, Nikunj Oza, and Ashok Srivastava. Comparison of Unsupervised Anomaly Detection Methods for Systems Health Management Using Space Shuttle Main Engine Data . In Proceedings of the 54th Joint Army-Navy-NASA-Air Force Propulsion Meeting, Denver, CO, May 2007.

Rodney A. Martin. Unsupervised Anomaly Detection and Diagnosis for Liquid Rocket Engine Propulsion. In Proceedings of the IEEE Aerospace Conference, Big Sky, MT, March 2007.
(Note: This is a corrected version, not published in the conference proceedings version)

Vytas SunSpiral, Mark B. Allan, Rodney Martin, Kevin R. Wheeler. Modeling and Classifying Six-Dimensional Trajectories for Tele-operation Under Time Delay. In Proceedings of the AAAI 2006 Spring Symposium, Stanford, CA, American Association for Artificial Intelligence, AAAI Press, March 2006.

Kevin R. Wheeler, Rodney Martin, Mark B. Allan, Vytas Sunspiral. Predictive Interfaces for Long Distance Tele-Operations. In i-SAIRAS 2005' - The 8th International Symposium on Artificial Intelligence, Robotics and Automation in Space. Munich, Germany. Edited by B. Battrick. ESA SP-603. European Space Agency, September 2005. Published on CDROM, p.74.1.

Rodney A. Martin, Clifford C. Federspiel, and David M. Auslander. Supervisory Control for Energy Savings and Thermal Comfort in Commercial Building HVAC Systems. In Proceedings of the AAAI 2002 Spring Symposium, pages 67–74. Stanford, CA, American Association for Artificial Intelligence, AAAI Press, March 2002.

Technical Reports

Rodney A. Martin, Kevin R. Wheeler, Mark B. Allan, and Vytas SunSpiral. Optimized Algorithms for Prediction within Robotic Tele-Operative Interfaces. NASA Technical Report, NASA/TM–2010–216417, November 2010.
(Note: This paper represents a summary of work completed in 2005 - 2006. )

Clifford C. Federspiel, Rodney A. Martin, and Hannah Yan. Thermal Comfort Models and “Call-out” (Complaint) Frequencies. Technical report, University of California, Berkeley, Center for the Built Environment, April 2003.

Clifford C. Federspiel, Rodney A. Martin and David M. Auslander. Responding to Thermal Sensation Complaints in Buildings. CBE Summary Report, 2001.

Poster Presentations

Rodney Martin and Santanu Das. Optimal Prediction of Adverse Events in Aviation Data. In Poster Session at CIDU (Conference on Intelligent Data Understanding) 2010. Mountain View, CA, October 2010.

Rodney A. Martin. Recent Results on “Approximations to Optimal Alarm Systems for Anomaly Detection”. In Poster Session at the IEEE International Symposium on Information Theory. Toronto, Ontario, Canada, July 2008.

Rodney A. Martin. Investigation of Optimal Alarm System Performance for Anomaly Detection. In Poster Session at the National Science Foundation Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation. Baltimore, MD, October 2007.

Rodney Martin. Approximations to Optimal Alarm Systems for Anomaly Detection. In Poster Session at CIDU (Conference on Intelligent Data Understanding) 2007. Mountain View, CA, June 2007.
(Note: No paper was submitted, this was a poster presentation only, which was nearly identical to the presentation made at NGDM 2007 - above. )

Rodney A. Martin, Clifford C. Federspiel, and David M. Auslander. Responding to Thermal Sensation Complaints in Buildings. In Poster Session at the 2002 ASHRAE Winter Meeting in Atlantic City, NJ. ASHRAE Transactions, 108(1):407–412, January 2002.
(Note: This paper represents a good summary of the content from my Master's thesis. If you would like a copy of the M.S. thesis, please contact me. )

Ph.D. Dissertation

Rodney A. Martin. Optimal Prediction, Alarm, and Control in Buildings Using Thermal Sensation Complaints. PhD thesis, University of California, Berkeley, September 2004.

Contact

Computer Engineer
(Research Scientist)

Ames Research Center
Mail Stop Mail Stop: 269-1
Moffett Field, CA 94035

Rodney.Martin@nasa.gov

Phone: (650) 604-1334
Fax: (650) 604-3594

Click here to access my DASHlink website

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