• Co-author of chapter 10 in the textbook: NanoBiotechnology, edited by Oded Shoseyov, Ilan Levy. Humana Press; 1 edition (Sept 21, 2007)

• Characterization of Transverse Channel Concentration Profiles Obtainable with a Class of Microfluidic Networks. Jennifer Sager, Maxwell Young, and Darko Stefanovic. Langmuir. 2006; 22(9) pp 4452-4455.

  The Concrete Mathematics of Microfluidic Mixing, Part I. Jennifer Sager, Maxwell Young, and Darko Stefanovic University of New Mexico Department of Computer Science Technical Report #TR-CS-2006-09. May 1, 2006.
  Abstract: We analyze mathematically a previously reported class of passive microfluidic mixing networks. The networks produce nonhomogeneous concentrations in the output channel, resulting in diverse concentration profiles. We formally prove that all profiles obtainable with this class of networks can be described as polynomials of degree no higher than the number of input channels less one. We derive explicit formulas for the calculation of resultant output concentration profiles and conversely for the calculation of input concentrations needed to obtain set output profiles.

• Designing Nucleotide Sequences for Computation: A Survey of Constraints. Jennifer Sager and Darko Stefanovic. In A. Carbone, M. Daley, L. Kari, I. McQuillan, and N. Pierce, editors, DNA Computing: 11th International Workshop on DNA-Based Computers, DNA 2005 (University of Western Ontario: London, Ontario, Canada), volume 3892 of Lecture Notes in Computer Science. Springer.

  Designing Nucleotide Sequences for Computation: A Survey of Constraints. Jennifer Sager and Darko Stefanovic. Preliminary Proceedings of the 11th International Meeting on DNA Computing, London, Ontario, Canada, June 2005.

  Designing Nucleotide Sequences for Computation: A Survey of Constraints. Jennifer Sager and Darko Stefanovic. Technical Report TR-CS-2005-6, Department of Computer Science, University of New Mexico, March 2005.

• Rule discovery in epidemiologic surveillance data using EpiXCS: An evolutionary computation approach. John H. Holmes and Jennifer A. Sager. 10th Conference on Artificial Intelligence in Medicine, Aberdeen, Scotland, July 2005. (Springer-Verlag LNAI 3581)

• A Comparison of Three Methods for Covering Missing Data in XCS. John H. Holmes, Jennifer A. Sager, and Warren B. Bilker. Seventh International Workshop on Learning Classifier Systems (IWLCS-2004) during the Genetic and Evolutionary Computation Conference (GECCO 2004), June 2004

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