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Biography

Dogan was born in Rolla, MO, in December 1968, and grew up in Ankara, Turkey, returning to the US in August 1989 for graduate studies in Lubbock, TX. He holds a BS degree from Middle East Technical University (Ankara), and MS and PhD degrees from Texas Tech University (Lubbock), all in electrical engineering.

He arrived at NASA Ames in April 1995 as a National Research Council post-doctoral Research Associate, working initially as a member of the old Photonics Group in the Computational Sciences Division. He joined the civil service in September 2000, just as the Photonics Group was dissolving and the division changing its name to Intelligent Systems. Shortly thereafter, Dogan reconstituted a small cadre of physicists and engineers with like minds and interests into a new Applied Physics Group, which he has helped lead and grow until the present time.

Research

Dogan's research activities have centered mainly around the interplay of physics and information. His thesis work at Texas Tech was focused on establishing the physical limits of achievable throughput and accuracy in optical information processing, with implications for optical correlators, image processors, associative memories, etc. Upon moving to NASA Ames, he shifted his focus toward a critical theoretical and experimental investigation of holographic optical storage and retrieval of information (chiefly binary data) in photochromic media containing bacteriorhodopsin.

Since forming the Applied Physics Group, Dogan has initiated and contributed to numerous research and development efforts in a broad range of technical areas in service of NASA's technology needs. Some of his more substantial endeavors, in roughly chronological order, include

  • quantum adiabatic evolution (annealing) for heuristic solution of NP-complete optimization problems;
  • Bayesian inference of atmospheric constitution and thermodynamic state via hyper-spectral remote sensing;
  • stochastic modeling and strategic predictive optimal control of air traffic flow under capacity limitations;
  • aerospace system health monitoring and non-destructive evaluation (composites, wiring, cryogenics, etc.); and
  • additive manufacturing process modeling and optimization for 3d-printing of metals and plastics.

Contact

Lead
Applied Physics Group
Intelligent Systems Division
NASA Ames Research Center
Mail Stop 269-3
Moffett Field, CA 94035
(650) 604-1262
dogan.a.timucin@nasa.gov

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