I was a postdoctoral scholar in the Paradise Lab at Caltech, hosted by Professor Shuki Bruck. I enjoyed working on information theoretic problems (data representation and coding) inspired by multi-level flash memory.

Before coming to Caltech, I was a grad student in the Bren School of Information and Computer Science at the University of California, Irvine. I received my M.S. (2003) and Ph.D. (2007) in Information and Computer Science, working with Professor Rina Dechter.

I enjoy the game of Go. I was a professional player student (insei) at the Japanese Professional Go Association (Nihon Ki-in). I was the European Go Champion in 1998.

 

News

• 2009 IEEE Communications Society Best Paper Award in Signal Processing and Coding for Data Storage, for Rank Modulation for Flash Memories.

 

Selected new publications

• Anxiao Jiang, Robert Mateescu, Eitan Yaakobi, Jehoshua Bruck, Paul H. Siegel, Alexander Vardy and Jack K. Wolf,
  Storage Coding for Wear Leveling in Flash Memories
  IEEE Transactions on Information Theory, Vol. 56(10), pages 5290-5299, 2010.

• Anxiao Jiang, Michael Langberg, Robert Mateescu, Jehoshua Bruck,
  Data Movement and Aggregation in Flash Memories
  In proceedings of the IEEE International Symposium on Information Theory (ISIT-10), 2010.

• Robert Mateescu, Kalev Kask, Vibhav Gogate and Rina Dechter,
  Join-Graph Propagation Algorithms
  In Journal of Artificial Intelligence Research (JAIR), Vol. 37, pages 279-328, 2010.

• Anxiao Jiang, Robert Mateescu, Moshe Schwartz and Jehoshua Bruck,
  Rank Modulation for Flash Memories
  In IEEE Transactions on Information Theory, Vol. 55(3), pages 2659-2673, 2009.

• Anxiao Jiang, Michael Langberg, Robert Mateescu and Jehoshua Bruck,
  Data Movement in Flash Memories
  In proceedings of the 47th Annual Allerton Conference on Communication, Control and Computing (ALLERTON-09), Urbana-Champaign, Illinois, September 2009.

• Robert Mateescu and Rina Dechter,
  Mixed Deterministic and Probabilistic Networks
  In the Annals of Mathematics and Artificial Intelligence (AMAI); Special Issue: Probabilistic Relational Learning, Vol. 54(1-3), pages 3-51, 2008.

• Robert Mateescu, Rina Dechter and Radu Marinescu,
  AND/OR Multi-Valued Decision Diagrams (AOMDDs) for Graphical Models
  In Journal of Artificial Intelligence Research (JAIR), Vol. 33, pages 465-519, 2008.