Carlos Ordonez

Potential, new MS/PhD students: all professors get too many inquiries to apply and get financial aid (hundreds of messages every year). Please read.
PhD: NO, I cannot tell you now if I have an opening: you need to apply to be considered (do not insist). Only if you are accepted by the committee then I will take a look at your application and reply to your email; DO NOT SEND YOUR CV (message automatically deleted).
MS: NO, there is no financial support for MS students; university rules, do not ask (TA/RA/scholarship), tuition discount, etc . DO NOT SEND YOUR CV (message automatically deleted).
MS in UH College of Engineering: NO, there is no TA/RA for non-CS students. DO NOT SEND YOUR CV (message automatically deleted).
ALL students: please read this page. It will help you understand the admission and financial aid process.

Bio
Bio: Carlos Ordonez studied at UNAM (top research university in Mexico), getting a B.Sc. in applied math and an M.S. in computer science. He continued PhD studies at the Georgia Institute of Technology, focusing on optimizing machine learning and data mining analysis with parallel algorithms, removing main memory limitations and enhancing their accuracy. During his PhD, Carlos joined NCR Corporation collaborating in the optimization of machine learning, statistics and cubes on the Teradata parallel DBMS, under an SMP distributed architecture. After working almost 10 years years at NCR, Carlos joined the Department of Computer Science at the University of Houston, where he currently leads the Big Data Systems for AI Lab, focusing on making theory practical. During 2012 and 2013 Carlos regularly visited MIT, collaborating with Turing award winner, Michael Stonebraker, working on new-generation parallel DBMSs (columnar, array, lockfree transactions) to solve large-scale linear algebra and graph algorithms. Carlos worked as a visiting researcher with ATT Labs-Research (formerly the famous ATT Bell Labs where C, C++ and Unix were invented), where he conducted research on analyzing streams with statistical methods on massive data sets. His research projects have been funded by NSF and NIH grants.

Education
  • B.Sc. in Applied Mathematics, UNAM University, Mexico
  • M.S. in Computer Science, UNAM University, Mexico
  • Ph.D. in Computer Science, Georgia Institute of Technology, USA

Research Articles
C.S. articles listed on: DBLP. My citations are tracked in: Google Scholar.