Department of Computer Science

Postdoctoral Positions in Biomedical Image Analysis, Computer Vision, Image Processing, Scientific Visualization




DoD-Supported Postdoctoral Fellow in Realtime Imaging (immediately available) NASA-Supported Postdoctoral Fellow in Satellite Imaging and Visualization (filled)

Multi-modal, multi-spectral, multi-view imaging is creating a new class of challenging research problems in image registration, rectification, localization, object extraction, 3D structure estimation, object classification, object tracking, and multi-dimensional visualization. These common computer vision, image analysis and visualization problems are shared across multiple disciplines. In our case three related projects use similar computational and visualization approaches. One project is to locate, classify and track cells in live-cell microscopy for biomedical applications (see below). Another project is to improve hurricane forecasting by assimilating satellite observations and visualizing numerical model results through realtime automatic deformable 2D/3D cloud tracking and flow visualization. The third project is to track vehicles and people in large format wide-area video and use this information for event and activity analysis and video summarization. Other common goals include realtime parallel processing (multicore GPU or Cell clusters) and 3D visualization.

Desirable/required skills include a doctoral degree in EECS or related field with a solid background in image analysis, computer vision, pattern recognition and computer graphics with excellent programming experience (C++ and Matlab) including numerical PDE solvers, OpenGL, Qt GUI design, use of libraries like VTK, ITK, OpenCV, Boost, etc. Knowledge of level-sets, kernel classifiers and pyramid data handling techniques would be highly advantageous.



NIH-Supported Postdoctoral Fellow in Bioimaging Informatics
Dept. of Computer Science
University of Missouri-Columbia
Columbia, MO 65203

Biology Dept.
University of Massachusetts
Amherst, MA, 01003

Postdoctoral positions are available to join an ongoing research project in the quantification of deformable motion in biology, with emphasis on cell motility, tissue growth and tumor development.

Our research has led to extremely promising algorithms for cell tracking (hundreds of motile cells over hundreds of time-lapse image sequences) with application to high throughput sequencing studies for genome analysis and drug discovery. Quantitative live cell imaging within a biological context offers promising new opportunities to understand cellular and sub-cellular processes that have never been observed before, ranging from the autophagic clustering behavior of cancer cells to microtubule regulation of actin and cell cycle biology. A series of recent papers listed below describe the computational algorithms for tracking deformable motion of biological objects, in particular motile animal cells and embryos. The position at Missouri is primarily computational (with bio-imaging opportunities possible based on candidate interest). The successful candidate for this position will have a strong background in image analysis, computer vision, or computer graphics with an emphasis in active contour and level set based image segmentation, data fusion and object tracking.

  1. Sumit K. Nath, Kannappan Palaniappan, and Filiz Bunyak, Accurate Spatial Neighborhood Relationships for Arbitrarily-shaped Objects using Hamilton-Jacobi GVD, Lect Notes Comput Sci. (SCIA) 2007, vol 4522, 421--431. PMC2553685
  2. Filiz Bunyak, Kannappan Palaniappan, Sumit Kumar Nath, and Gunasekaran Seetharaman, Flux tensor constrained geodesic active contours with sensor fusion for persistent object tracking, Journal of Multimedia, Vol. 2, No. 4, pp. 20-33, Aug 2007. (PDF)
  3. F. Bunyak, K. Palaniappan, S. K. Nath, G. Seetharaman, Geodesic active contour-based fusion of visible and infrared video for persistent object tracking, IEEE Workshop on Applications of Computer Vision, Austin, TX, Feb 21-22, 2007.
  4. S. K. Nath, K. Palaniappan, F. Bunyak, Cell segmentation using coupled level sets and graph-vertex coloring, Lecture Notes in Computer Science (MICCAI 2006), Vol. 4190, pp. 101-108. PMC1995122
  5. S. K. Nath, F. Bunyak, K. Palaniappan, Robust tracking of migrating cells using four-color level set segmentation, Lecture Notes in Computer Science (ACIVS 2006), Vol. 4179, Springer-Verlag, pp. 920-932. PMC2440722
  6. F. Bunyak, K. Palaniappan, S. K. Nath, T. I. Baskin, G. Dong, Quantitative cell motility for in vitro wound healing using level set-based active contour tracking, IEEE 3rd Int. Symposium on Biomedical Imaging: From Nano to Macro, Arlington, VA, April 6-9, 2006, pp. 1040-1043.
  7. G. Dong, T. I. Baskin, K. Palaniappan, Motion flow estimation from image sequences with applications to biological growth and motility, IEEE Int. Conf. Image Processing, Atlanta, GA, Oct 8-11, 2006.
  8. S. Nath, K. Palaniappan, Adaptive robust structure tensors for orientation estimation and image segmentation, Lecture Notes in Computer Science (Advances in Visual Computing), Vol 3804, ISBN 3-540-30750-8, Springer-Verlag, Int. Symposium on Visual Computing, Lake Tahoe, Nevada, Dec. 5-7, 2005, pp. 445-453. PMC2423937
  9. K. Palaniappan, Hai Jiang, Tobias I Baskin, Non-rigid motion estimation using the robust tensor method, IEEE Computer Vision and Pattern Recognition Workshop on Articulated and Nonrigid Motion, Washington, DC, IEEE Computer Society Press, June 27, 2004, pp. 25-33.
  10. Corine M. van der Weele, Hai S. Jiang, Krishnan K. Palaniappan, Viktor B. Ivanov, Kannapan Palaniappan, and Tobias I. Baskin, A New Algorithm for Computational Image Analysis of Deformable Motion at High Spatial and Temporal Resolution Applied to Root Growth. Roughly Uniform Elongation in the Meristem and Also, after an Abrupt Acceleration, in the Elongation Zone, Plant Physiol. 2003 July; 132(3): 1138--1148. PMCID: PMC526269

Those interested in the computational bioimaging position should contact Prof. Palaniappan (email: palaniappank@missouri.edu, bio) and the Visualization lab . The Univ of Missouri-Columbia has completed a new $60M Life Sciences building and there are many opportunities for collaboration with several life sciences and biomedical imaging experimental groups.


About the University of Missouri-Columbia

The University of Missouri is highly ranked as postdoctoral fellowship training center and is a leading research university. It one of only six American universities with the greatest breadth of academic units on a single campus that includes engineering, science, mathematics, medicine, business, law, journalism, agriculture, natural resources, environmental sciences, veterinary medicine, health sciences, nursing, education, humanities, and liberal arts. This enables novel collaborations in multidisciplinary research to be pursued, for example, engineering and medicine. UMC's current endowment campaign goal is to raise $1 billion by the end of 2008 - the 26th public university in the nation to have such a campaign.

The University of Missouri-Columbia (UMC or MU) was established in 1839 as the first public university west of the Mississippi river in the Louisiana Purchase - territory that was acquired from Napolean in 1803 by US President Thomas Jefferson. UMC is a nonprofit land grant academic and research institution that is recognized as one of the leading tier-one research and Carnegie-Doctoral-Research-Extensive institutions in the country. UMC is the flagship public university in the state of Missouri with over 21,500 undergraduate and 7,000 graduate and professional students. UMC has been a member of the Association of American Universities since 1908; the AAU was founded in 1900 and is currently composed of 62 leading research universities in the US and Canada.

The values embraced by the UMC academic community are discovery, excellence, respect, and responsibility. In order to maintain and extend leading accomplishments in teaching, research, service and economic development (entrepreneurship), it is essential that our staff members be of the highest merit and ability with outstanding research and teaching potential.

We encourage applications from anyone regardless of ethnicity, religion, sex, sexual orientation, or nationality. The University of Missouri is an Affirmative Action/ Equal Opportunity/ employer and ADA Institution. To request ADA accommodations, please contact our ADA Coordinator at (573) 884-7278, or send e-mail to adawww@showme.missouri.edu.


Ongoing Postdoc Positions. Openings are available for postdoctoral fellowship or visiting research professor positions in video and image analysis, scientific visualization, computer vision, computer graphics and related fields in the Dept. of Computer Science at the Univ. of Missouri-Columbia. Candidates interested in conducting breakthrough research in the following areas are encouraged to apply:

  1. Realtime automatic nonrigid deformable 2D/3D cloud motion tracking from satellite imagery using highly parallel multicore systems for assimilating satellite observations and visualizing numerical model results to improve hurricane forecasting.
  2. Content-based video activity recognition, video summarization and multimedia retrieval using HMM, Bayesian networks, and graphical models for supervised data mining and unsupervised learning
  3. Scientific visualization, information visualization, virtual reality techniques for the analysis and interactive manipulation of extremely large biomedical, bioinformatics and geophysical datasets in petabyte-sized databases.
  4. Nonrigid motion estimation, data mining, image understanding and parallel algorithm development for object classification, image segmentation, stereo analysis applied to multispectral timvevarying biomedical and remote sensing.
  5. Advanced human computer interfaces such as speech and gesture to improve interaction with complex datasets in realistic environments with multiple users.
  6. Digital video over information networks applied to very low bit rate video coding using the wavelet transform, visual content analysis, coding and retrieval, and intelligent network access to compressed multimedia datasets in digital libraries;

We have some exciting new initiatives with the Air Force Research Lab, National Geospatial-Intelligence Agency, NASA, Naval Research Lab and Boeing in image understanding, data mining, CBIR, data fusion, automatic classification and compression of multispectral remote sensing datasets, collaborative visualization of 3D datasets over high speed networks, etc.

Candidates must have completed a doctoral degree in EECS, Bioengineering or related field. Applicants must have an excellent research record, high potential for publication, strong interest in collaboration, and good communication skills. Salary commensurate with prior experience.

Please send a resume, a statement of research plans (and teaching if appropriate), and three reference letters to:

Dr. K.Palaniappan
Dept. of Computer Science
329 Engineering Bldg. West
University of Missouri-Columbia
Columbia, MO 65211-2060
(573) 884-9266, Fax: (573) 882-8318
email: palaniappank@missouri.edu
http://meru.cecs.missouri.edu

The University of Missouri is an Affirmative Action/ Equal Opportunity/ employer and ADA Institution. To request ADA accommodations, please contact our ADA Coordinator at (573) 884-7278, or send e-mail to adawww@showme.missouri.edu.

Updated Oct 2, 2011

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