Anxiao Jiang

Prof. Anxiao (Andrew) Jiang is a Professor in the Department of Computer Science & Engineering at Texas A&M University, with a courtesy appointment in Electrical and Computer Engineering. He holds positions in both departments and has affiliations with research groups focused on coding theory and data storage systems. His research spans information theory, coding for non-volatile memories, algorithms, machine learning, and wireless networks.

• Ph.D. in Electrical Engineering from Caltech (2004)
• M.S. in Electrical Engineering from Caltech (2000)
• B.Sc. in Electronic Engineering from Tsinghua University (1999)

His research interests emphasize coding for flash memories, error correction, and machine learning applications. Key contributions include innovations in rank modulation, trajectory codes, and joint source-channel decoding. Recent work explores deep learning and analog computing error mitigation.

Publications highlight advancements in error-correcting codes, secure storage systems, and AI-driven data analysis. His work on fingerprint denoising won 2nd place in the ECCV 2018 competition. Awards include the NSF CAREER Award (2008) and IEEE Best Paper Award (2009).

Jiang advises numerous graduate and undergraduate students, focusing on coding theory, machine learning, and storage systems. His lab develops practical solutions for next-generation memory technologies and robust neural networks.