• Professor, Computer Science & Engineering
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Anxiao "Andrew" Jiang

Educational Background

  • Ph.D. Electrical Engineering, California Institute of Technology – 2004
  • M.S. Electrical Engineering, California Institute of Technology – 2000
  • B.S. Electronic Engineering, Tsinghua University, Beijing, China – 1999

Research Interests

    • Information theory and coding theory
    • Data storage
    • Machine learning

Awards & Honors

  • Best Paper Award at INFORMS Conference on Quality, Statistics and Reliability (ICQSR) – 2024
  • Non-Volatile Memories Workshop (NVMW) Persistent Impact Prize – 2020
  • Graduate Faculty Teaching Excellence Award of the Computer Science and Engineering Department of Texas A&M University – 2019-2020
  • Second Place Award in the European Conference on Computer Vision (ECCV) Chalearn Looking at People (LAP) Inpainting Competition – 2018
  • Graduate Faculty Teaching Excellence Award of the Computer Science and Engineering Department of Texas A&M University – 2012-2013
  • Institute of Electrical and Electronics Engineers (IEEE) Communications Society Best Paper Award in Signal Processing and Coding for Data Storage – 2009
  • NSF Faculty Early Career Development (CAREER) Award – 2008

Selected Publications

  • Anxiao Jiang, "Analog Error-Correcting Codes: Designs and Analysis," in IEEE Transactions on Information Theory, vol. 70 no. 11, pp. 7740--7756, November 2024. DOI: 10.1109/TIT.2024.3454059
  • A. Jiang, M. Schwartz and J. Bruck, "Correcting Charge-constrained Errors in the Rank Modulation Scheme," in IEEE Transactions on Information Theory, vol. 56, no. 5, pp. 2112-2120, May 2010.
  • A. Jiang, R. Mateescu, M. Schwartz and J. Bruck, "Rank Modulation for Flash Memories," in IEEE Transactions on Information Theory, vol. 55, no. 6, pp. 2659-2673, June 2009.
  • A. Jiang, M. Cook and J. Bruck, "Optimal Interleaving on Tori," SIAM Journal on Discrete Mathematics, vol. 20, no. 4, pp. 841-879, 2006.
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