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Navid Serrano


4800 Oak Grove Drive
M/S 198-219
Pasadena, CA 91109





Navid Serrano

Member of Technical Staff


Navid Serrano is a member of the Computer Vision group at the Jet Propulsion Laboratory, Pasadena, CA. Prior to joining JPL he was a member of the research staff at Eastman Kodak Company, Rochester, NY, where he worked in the areas of image understanding and image enhancememt. His current area of emphasis is hazard detection and analysis in orbital data for landing site selection.


M.S. University of Southern California, 2005
M.S. Rochester Institute of Technology, 2002
B.S. University of California, San Diego, 1998

Professional Experience

Mobility and Robotic Systems, Jet Propulsion Laboratory (01/2005 - present)
Signal and Image Processing Institute, USC (08/2002 - 05/2004)
Electronic Imaging Products R&D, Eastman Kodak Company (01/1999 - 05/2002)
Scripps Institution of Oceanography, UCSD (04/1997 - 12/1998)

Research Interests

Vision, machine learning, reasoning under uncertainty.


  1. H. Seraji, N. Serrano, "A Multisensor Decision Fusion System for Terrain Safety Assessment," IEEE Transactions on Robotics, 01 February 2009.
  1. N. Serrano, A. Quivers, M. Bajracharya, H. Seraji, "Evidential Terrain Safety Assessment for a Planetary Lander," International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS), 01 January 2008.
  1. N. Serrano, H. Seraji, "Landing Site Selection using Fuzzy Rule-Based Reasoning," IEEE International Conference on Robotics and Automation, Rome, Italy, 01 April 2007.
  1. N. Serrano, "A Bayesian Framework for Landing Site Selection during Autonomous Spacecraft Descent," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Beijing, China, 01 October 2006.
  2. N. Serrano, M. Bajracharya, A. Howard, H. Seraji, "A Novel Tiered Sensor Fusion Approach for Terrain Classification and Safe Landing Assessment," IEEE Aerospace Conference, 01 March 2006.
  3. N. Serrano, M. Bajracharya, A. Howard, H. Seraji, "A novel tiered sensor fusion approach for terrain characterization and safe landing assessment," Proc. IEEE Aerospace Conf., Big Sky, 01 January 2006.