Calderon, C., Paffenroth, R. (2013) “Tracking Multiple Particles in Biological Systems”. Submitted to US Patent Office.
Paffenroth, R., Du Toit, P., Scharf, L., Nong. R (2012) “Space-Time Signal Processing for Detecting and Classifying Distributed Attacks in Networks”. Continuation in part. Submitted to US Patent Office.
Paffenroth, R., Du Toit, P., Scharf, L., Nong. R (2011) “Space-Time Signal Processing for Detecting and Classifying Distributed Attacks in Networks”. Submitted to US Patent Office.
Leed, W., Lundberg, S., Nong, R., Paffenroth, R., (2011) "Method for Lossy Compression of Point Clouds with Point-wise Error Constraints". Submitted to US Patent Office.
Paffenroth, R. (2016) Pushing the Boundaries of Predictions with Data Analytics, in honor of Math Awareness Month and the “Future of Prediction,” SIAM News, 4-1-2016
Machine Learning for Satellite Communications from LEO to Deep Space Operations: A Multi-Objective Reinforcement Learning Example, Ferreira, P. V. R., Paffenroth, R., Wyglinski, A. M., Hackett, T., Bilen, S., Reinhart, R., Mortensen, D., (2017) IN PREPARATION for Submission to IEEE Communications Magazine.
Ramasmy, S., Paffenroth, R., and Jayasumana, A., (2017) “A Low Complexity Technique for Capture and Characterization of Social Network Topology”, in preparation.
Jayasumana, A., Paffenroth, R., and Ramasmy, S., (2017) “Network Topology Mapping from Graph Geodesics and Partial Virtual Coordinates” ADDRESSING REVIEWER COMMENTS in preparation for re-submission to IEEE/ACM Transactions on Networking.
Gajamannage, K., Paffenroth, R., and Bollt, K., (2017) “A Nonlinear Dimensionality Reduction Framework Using Smooth Geodesics”, ADDRESSING REVIEWER COMMENTS in preparation for re-submission to Pattern Recognition.
Shojaeizadeh, M., Djamasbi, S., Paffenroth, R., and Trapp, (2017) “Automatic Detection of Cognitive Demand Via An Eye Tracking Machine Learning System”, SUBMITTED to MIS Quarterly and rejected, in preparation for re-submission to another journal.
Weiss, Matthew, Wiederoder, Michael S., Paffenroth, Randy, Nallon, Eric, Bright, Collin, Schnee, Vincent, McGraw , Shannon, Polcha, Michael, and Uzarski, Josh (2017) “Applications of the Kalman Filter to Chemical Sensors for Downstream Machine Learning”, SUBMITTED to IEEE Sensors Journal.
Partopour, Behnam, Paffenroth, Randy, Dixon, Anthony, (2017) “Random Forests for mapping and analysis of microkinetics models”, SUBMITTED to Computers and Chemical Engineering.
A.M. Birt, R. Paffenroth, D. Apelian, (2017) “Simplifying the Material World: Unsupervised Classification of Feedstock Materials in Metal Powder Manufacturing”, SUBMITTED to Transactions on Knowledge and Data Engineering.
Randy Paffenroth, Kathleen Kay, Les Servi, “Robust PCA for Anomaly Detection in Cyber Networks”, arXiv:1801.01571
Anura P. Jayasumana, Randy Paffenroth, Sridhar Ramasamy “Network Topology Mapping from Partial Virtual Coordinates and Graph Geodesics”, arXiv:1712.10063 (Preliminary version of paper of same title above submitted to IEEE/ACM Transactions on Networking).
Kelum Gajamannage, Randy Paffenroth, Erik M. Bollt, “A Nonlinear Dimensionality Reduction Framework Using Smooth Geodesics”, arXiv:1707.06757 (Preliminary version of paper of same title above submitted to Pattern Recognition)
Reese, Tyler, Servatius, Brigitte, Paffenroth, Randy, and Fehribach, Joseph, “Matrices over Finite Fields and their Kirchhoff Graphs” (2017), Linear Algebra and its Applications.
Wiederoder, Michael S., Eric C. Nallon, Matt Weiss, Shannon K. McGraw, Vincent P. Schnee, Collin J. Bright, Michael P. Polcha, Randy Paffenroth, and Joshua R. Uzarski. "Graphene Nanoplatelet-Polymer Chemiresistive Sensor Arrays for the Detection and Discrimination of Chemical Warfare Agent Simulants." ACS sensors 2, no. 11 (2017): 1669-1678. (Note, in the chemical sensor literature, the senior faculty go last in the author list.)
Ferreira, P. V. R., Paffenroth, R., Wyglinski, A. M., Hackett, T., Bilen, S., Reinhart, R., Mortensen, D., (2017). Multi-objective Reinforcement Learning for Cognitive Satellite Communications using Deep Neural Networks Ensembles, IEEE JSAC Special Issue on "Advances in Satellite Communications" (25% acceptance rate).
Ferreira, Paulo Victor Rodrigues, Randy Paffenroth, and Alexander M. Wyglinski. "Interactive multiple model filter for land-mobile satellite communications at Ka-band." IEEE Access 5 (2017): 15414-15427.
Bandara, V. W., Scharf, L. L., Paffenroth, R. C., Jayasumana, A. P., & Du Toit, P. C. (2016). Experimental recovery regions for robust PCA. Signal Processing, 129, 25-32.
Reese, T., Paffenroth, R., & Fehribach, J. D. (2016). “Duality in Geometric Graphs: Vector Graphs, Kirchhoff Graphs and Maxwell Reciprocal Figures”. Symmetry, 8(3), 9.
Calderon, C., Thompson, M., Casolari, J. , Paffenroth, R., and Moerner, W. (2013) Quantifying Transient 3D Dynamical Phenomena of Single mRNA Particles in Live Yeast Cell Measurements. Journal of Physical Chemistry B, 117.49 (2013): 15701-15713.
Paffenroth, R., Du Toit, P., Nong, R., Scharf, L., Jayasumana, A., Bandara, V. (2013) Space-time signal processing for distributed pattern detection in sensor networks. IEEE Journal of Selected Topics in Signal Processing, Issue on Anomalous Pattern Discovery for Spatial, Temporal, Networked, and High-dimensional Signals, Vol 7., Issue. 1, February 2013.
Bruno, O., Elling T., Paffenroth, R., Turc, C., (2009). Electromagnetic integral equations requiring small numbers of Krylov-subspace iterations. Journal of Computational Physics
Volume 228, Issue 17, 20 September 2009, Pages 6169-61 (Cited 30 or more times on Google Scholar)
Doedel, E., Romanov, V., Paffenroth, R., Keller, H., Dichmann, D., Galan-Vioque, J., Vanderbauwhede, A. (2007). Elemental periodic orbits associated with the libration points
in the Circular Restricted 3-Body Problem. Int. J. Bifurcation and Chaos 17 #8, 2625-
2677. (Cited 40 or more times on Google Scholar)
Doedel, E., Paffenroth, R., Keller, H., Dichmann, D., Gal´an, J., Vanderbauwhede, A. (2003). Continuation of periodic solutions in conservative systems with application to the 3-Body
problem. Int. J. Bifurcation and Chaos, Volume 13 #6, 1-29. (Cited 40 or more times on Google Scholar)
Dichmann, D., Doedel, E., Paffenroth, R. (2003). The computation of periodic solutions of
the 3-Body problem using the numerical continuation software AUTO, in: ”Libration Point
Orbits and Applications”, G. G´omez. M. W. Lo, J. J. Masdemont, eds., World Scientific, 489-528. (Cited 10 or more times on Google Scholar)
Hoffman, K., Manning, R., Paffenroth, R. (2002). Calculations of the Stability Index in Parameter-Dependent Calculus of Variations Problems: Buckling of a Twisted Elastic Strut. SIAM Journal on Applied Dynamical Systems, 1 (1). pp. 115-145. ISSN 1536-0040 (Cited 10 or more times on Google Scholar)
Maddocks, J., Manning, R., Paffenroth, R., Rogers, K., Warner, J. (1997), Interactive Computation, Parameter Continuation, and Visualization. Int. J. Bifurcation and Chaos, Volume 7, 1699-1715
Zhou, Chong, Paffenroth, R. (2017) Anomaly Detection with Robust Deep Auto-encoders. ACM SIGKDD 2017, August 5 13-17, 2017 (Paper accepted for oral presentations (8.56% acceptance rate). A total of 748 papers were submitted to the Research track, of which 64 were accepted for oral presentation and 67 were accepted as posters.)
Ferreira, Paulo Victor R., et al. "Multi-objective reinforcement learning-based deep neural networks for cognitive space communications." Cognitive Communications for Aerospace Applications Workshop (CCAA), 2017. IEEE, 2017.
Mukne, Neehar, and Randy Paffenroth. "Probabilistic inference of Internet node geolocation with anomaly detection." Technologies for Homeland Security (HST), 2017 IEEE International Symposium on. IEEE, 2017. (3 peer reviewers of 4 page abstract)
Randy Paffenroth, Nan Li, Louis Scharf, Myung Hee Lee (2016) Maximum Likelihood Identification of an Information Matrix Under Constraints in a Corresponding Graphical Model, Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers. (http://www.asilomarsscconf.org/)
Ferreira, P., Paffenroth, R., Wyglinski, A., Hackett, T. M., Bilén, S., Reinhart, R., & Mortensen, D. (2016). Multi-Objective Reinforcement Learning for Cognitive Radio--Based Satellite Communications. In 34th AIAA International Communications Satellite Systems Conference (p. 5726).
AJayasumana, A. P., Paffenroth, R., & Ramasamy, S. (2016, May). Topology maps and distance-free localization from partial virtual coordinates for IoT networks. In 2016 IEEE International Conference on Communications (ICC), (pp. 1-6).
Mukne, N. and Paffenroth R. (2015). Probabilistic Inference of Internet Node Geolocation with Anomaly Detection. Extended (4 page) abstract submitted to 15th annual IEEE Symposium on Technologies for Homeland Security, submitted 11/30/15, ACCEPTED 2/17/2016 (3 peer reviewers of 4 page abstract) (PAPER WITHDRAWN)
Doedel, E., Dichmann, D., Gal´an-Vioque, J., Keller, H., Paffenroth, R., Vanderbauwhede, A. (2005). Elemental periodic orbits of the CR3BP: A brief selection of computational results, Proc. Equadiff 2003, Hasselt Belgium, pp. 163-168, World Scientific, Singapore.
Doedel, E., Dichmann, D., Paffenroth, R. (2004). Boundary Value Methods for Computing
Periodic Solutions of Conservative Systems with Application to the CR3BP, Proc. Third
International Workshop on Scientific Computing and Applications, Hong Kong, 2003, Lu, Y.
Y., Sun, W., Tang, T., eds., Nova Publishers, 2004, 14 pp.
Paffenroth, R., Doedel, E., Dichmann, D. (2001). Continuation of periodic orbits around
Lagrange points and AUTO2000, AAS paper 01-303, Proc. AAS/AIAA Astrodynamics Specialist Conference, Session on ”Lagrange Point Missions” organized by M. Lo and K. Howell,
Quebec City, 20 pages. (Cited 20 or more times on Google Scholar)
Paffenroth, R. (2015) Python in Data Science Research and Education. Proceedings of SciPy 2015. (abstract peer reviewed) 40% acceptance rate for abstract, 50% of abstracts to papers
Paffenroth, R., Nong, R., Du Toit, P., (2013) On covariance structure in noisy, big data. Proceedings Vol. 8857, Signal and Data Processing of Small Targets, October 2013, Oliver E. Drummond; Richard D. Teichgraeber, Editors.
Paffenroth, R., Du Toit, P., Scharf, L., Jayasumana, A., Banadara, V., Nong, R., (2012) Distributed pattern detection in cyber networks. Proceedings Vol. 8408, Cyber Sensing 2012, Igor V. Ternovskiy; Peter Chin, Editors.
Lundberg, S., Calderon, C., Paffenroth, R., (2012) Detecting clustered chem/bio signals in noisy sensor feeds using adaptive fusion. Proceedings Vol. 8393 Signal and Data Processing of Small Targets 2012, Oliver E. Drummond; Richard D. Teichgraeber, Editors.
Trawick, D., Du Toit, P., Paffenroth, R., Norgard, G., (2012) Ambiguous data association and entangled attribute estimation. Proceedings Vol. 8393 Signal and Data Processing of Small Targets 2012, Oliver E. Drummond; Richard D. Teichgraeber, Editors.
Paffenroth, R., Du Toit, P., Scharf, L., Jayasumana, A., Banadara, V., Nong, R., (2012) Space-time signal processing for distributed pattern detection in sensor networks. Proceedings Vol. 8393 Signal and Data Processing of Small Targets 2012, Oliver E. Drummond; Richard D. Teichgraeber, Editors.
Coult, N., Knight, J., Leed, W., Danford, S., Paffenroth, R., Poore, A., (2012) Information-based data prioritization in distributed tracking systems. Proceedings Vol. 8393 Signal and Data Processing of Small Targets 2012, Oliver E. Drummond; Richard D. Teichgraeber, Editors.
Paffenroth, R., Du Toit, P., Scharf, L., Jayasumana, A., (2011) Space-Time Signal Processing for Detecting and Classifying Distributed Attacks in Networks. Proceeding of 2011 MSS National Symposium on Sensor & Data Fusion.
Calderon, C., Jones, A., Lundberg, S., Paffenroth, R., (2011). A data-driven approach for processing heterogeneous categorical sensor signals. Submitted. SPIE, Conference on Signal and Data Processing of Small Targets (Vol. 8137).
Lundberg, S., Paffenroth, R., Yosinski, J., (2010). Algorithms for distributed chemical sensor fusion. In O. E. Drummond (Ed.), Proceedings of the SPIE, Conference on Signal and Data Processing of Small Targets (Vol. 7698).
Lundberg, S., Paffenroth, R., Yosinski, J., (2010). Analysis of CBRN Sensor Fusion Methods. 13th Conference on Information Fusion (FUSION).
Trawick, D., Slocumb, B., Paffenroth, R., (2010). A tracker adjunct processing system for reconsideration of firm tracker decisions. In O. E. Drummond (Ed.), Proceedings of the SPIE, Conference on Signal and Data Processing of Small Targets (Vol. 7698).
Yosinski, J., Paffenroth, R., (2010). Nonlinear estimation for arrays of chemical sensors. In O. E. Drummond (Ed.), Proceedings of the SPIE, Conference on Signal and Data Processing of Small Targets (Vol. 7698).
Yosinski, J., Coult, N., Paffenroth, R., (2009). Network-centric Angle-only Tracking. Proceedings of the SPIE, Conference on Signal and Data Processing of Small Targets (Vol. 7445).
Chan, S., Paffenroth, R., (2008). Out-of-sequence measurement updates for multi-hypothesis tracking algorithms. Proceedings of SPIE, 69691H-69691H-12.
Yosinski, J., Paffenroth, R., (2008). A distributed database view of network tracking systems. Proceedings of SPIE, 696915-696915-12.
Paffenroth, R., Novoselov, R., Danford, S., Teixeira, M., Chan, S., Poore, A., (2007). Mitigation of biases using the Schmidt-Kalman filter. In O. E. Drummond (Ed.), Proceedings of the SPIE, Conference on Signal and Data Processing of Small Targets (Vol. 6969). (Cited 10 or more times on Google Scholar)
Paffenroth, R., Vrajitoru, D., Stone, T., Maddocks, J., (2002). DataViewer: A Scene Graph Based Visualization Tool. The 20th Eurographics UK Conference, IEEE ComputerSociety Publications, 147-148.
Paffenroth, R., Vrajitoru, D., Stone, T., Maddocks, J., (2002). DataViewer: A Scene Graph Based Visualization Library. The 5th IASTED Conference on Computer Graphics and Imaging (CGIM 2002), ACTA Press, 200-205.
Paffenroth, R., Doedel, E., (2001). The AUTO2000 command line user interface, Ninth International Python Conference, Long Beach, CA, March 2001, 233-241.
Paffenroth, R., (1998). VBM and MCCC: Packages for Objected Visualization and Computation of Bifurcation Manifolds. Proceedings of the 1998 SIAM Workshop: Object Oriented Methods for Interoperable Scientific and Engineering Computing p. 255-263.