Jeffrey Uhlmann

Jeffrey Uhlmann

Jeffrey K. Uhlmann is an American research scientist who is probably best known for his mathematical generalizations of the Kalman filter.[1] Most of his publications and patents have been in the field of data fusion. He is also known for being a cult filmmaker and former recording artist.

Dr. Uhlmann is ranked in the top 2% among scientists worldwide in the Stanford University listing of most-cited researchers.[2]

Biography[edit]

Uhlmann has degrees in philosophy, computer science, and a doctorate in robotics from the University of Oxford.[3][4] He began work in 1987 at NRL's Laboratory for Computational Physics and Fluid Dynamics in Washington, DC, and remained at NRL until 2000. Since 2000 he has been a professor of computer science at the University of Missouri.[5]

He served for ten years as a co-founding member of the editorial board of the ACM Journal of Experimental Algorithmics (1995–2006) before becoming co-editor of the Synthesis Lectures on Quantum Computing series for Morgan & Claypool.[6]

Theoretical Research[edit]

Uhlmann published seminal papers on volumetric, spatial, and metric tree data structures and their applications for computer graphics, virtual reality, and multiple-target tracking.[7][8][9] He originated the unscented transform (and its use in the unscented Kalman filter) and the data fusion techniques of covariance intersection and covariance union.[1][3]

His work in artificial intelligence has recently focused on tensor-completion methods for recommender system applications.[10]

Applied Results[edit]

Uhlmann's results are widely-applied in tracking, navigation, and control systems, including for the NASA Mars rover program.[11][12] His results relating to the constrained shortest path problem and simultaneous localization and mapping are also used in rover and autonomous vehicle applications.[13][14]

Films[edit]

Uhlmann has written, directed, produced, and/or acted in several prominent short and feature-length films. Notable examples include the animated short film Susan's Big Day[15] and the feature films Mil Mascaras vs. the Aztec Mummy, Academy of Doom, and Aztec Revenge. In recent years he has been a popular invited guest at international genre film festivals.[16]

Music[edit]

Uhlmann recorded and released a series of albums in the 1970s and 1980s. Some of his early experimental electronic albums have been reissued in their entirety on CD[17] or digital download[18] while his arguably better-known songs are only available on CD compilations.[19]

References[edit]

  1. ^ a b Liggins, Martin; Hall, David; Llinas, James, eds. (2008). "Chapters 14 and 15". Handbook of Multisensor Data Fusion (2 ed.). CRC Press.
  2. ^ Ioannidis, John P. A.; Boyack, Kevin W.; Baas, Jeroen; Klavans, Richard (2023). "Updated science-wide author databases of standardized citation indicators". PLOS Biology. 21 (10): e3002369. doi:10.1371/journal.pbio.3002369. PMC 10681325. PMID 37956172.
  3. ^ a b "Archived copy" (PDF). Archived from the original (PDF) on 2012-04-07. Retrieved 2011-10-18.{{cite web}}: CS1 maint: archived copy as title (link)
  4. ^ "Uhlmann, Jeffrey | Engineering | University of Missouri | Mizzou Engineering". engineering.missouri.edu. Archived from the original on 2012-04-05.
  5. ^ "Archived copy". Archived from the original on 2012-04-07. Retrieved 2011-10-18.{{cite web}}: CS1 maint: archived copy as title (link)
  6. ^ "Synthesis Lectures on Quantum Computing".
  7. ^ Hanan Samet (2006). Foundations of Multidimensional and Metric Data Structures. Morgan Kaufmann.
  8. ^ Jeffrey Uhlmann (1991). "Satisfying General Proximity/Similarity Queries with Metric Trees". Information Processing Letters. 40 (4): 175–179. doi:10.1016/0020-0190(91)90074-r.
  9. ^ Jeffrey Uhlmann (1992). "Algorithms for Multiple-Target Tracking". American Scientist. 80 (2).
  10. ^ Nguyen, Tung; Uhlmann, Jeffrey (2023). "Tensor Completion with Provable Consistency and Fairness Guarantees for Recommender Systems". ACM Trans. Recomm. Syst. 1 (3): 1–26. arXiv:2204.01815. doi:10.1145/3604649.
  11. ^ E.T. Baumgartner; et al. (2000). State Estimation and Vehicle Localization for the FIDO Rover (PDF) (Report). NASA-JPL. Archived from the original (PDF) on 2012-04-15. Retrieved 2011-10-18.
  12. ^ Jeffrey Uhlmann; et al. (1999). "NASA Mars Rover: A Testbed for Evaluating Applications of Covariance Intersection". Proceedings of the 1999 SPIE Conference on Unmanned Ground Vehicle Technology. Vol. 3693.
  13. ^ Ali Boroujerdi; Jeffrey Uhlmann (1998). "An Efficient Algorithm for Computing Least Cost Paths with Turn Constraints". Information Processing Letters. 67 (6): 317–321. doi:10.1016/s0020-0190(98)00134-3.
  14. ^ S. J. Julier; J. K. Uhlmann (2007). "Using Covariance Intersection for SLAM". Robotics and Autonomous Systems. 55 (1): 3–20. CiteSeerX 10.1.1.106.8515. doi:10.1016/j.robot.2006.06.011.
  15. ^ "Susan's Big Day". YouTube. 8 September 2011. Retrieved 2011-10-11.
  16. ^ "Fantasia International Film Festival". Retrieved 12 April 2009.
  17. ^ "Impulse (CD)". Tower Records. Retrieved 10 October 2010.
  18. ^ "Circuit Theory". Vicmod Records. Archived from the original on 2012-04-25. Retrieved 31 October 2011.
  19. ^ "Performer (CD)". Tower Records. Retrieved 22 October 2011.

External links[edit]

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