Robert Mateescu

Postdoctoral Scholar

Caltech
MS 136-93
Pasadena, CA 91125

Office: Moore Building, room 311
Phone: (626) 395-8504
Email: email

Robert Mateescu

 

I am a postdoctoral scholar at Caltech. I am a member of the Paradise Lab, working with Professor Shuki Bruck.

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.

My undergrad studies were at the University of Bucharest, in the Department of Mathematics and Computer Science.

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.

I was on the Senior Program Committee of IJCAI-09.

 

Selected new publications

  • 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
    To appear in proceedings of the 47th Annual Allerton Conference on Communication, Control and Computing (ALLERTON-09), Urbana-Champaign, Illinois, September 2009.

  • 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
    In proceedings of the IEEE International Symposium on Information Theory (ISIT-09), pages 1229-1233, Seoul, Korea, June 2009.

  • Robert Mateescu and Rina Dechter,
    Mixed Deterministic and Probabilistic Networks
    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.