User Tools

Site Tools


Raju Gottumukkala, Ph.D.

CVDI Site Director | Assistant Professor | Director of Research, Informatics Research Insititute | UL Lafayette

Contact Information


  • Ph.D. - Computational Analysis and Modeling |Louisiana Tech University (2004 - 2007)
  • M.S. - Computer Science | Louisiana Tech University (2000 - 2003)
  • B.E. - Computer Science and Engineering | Hindustan College of Engineering (1995 - 1999)


As the Director of Research, he leads several research initiatives in the broader area of cyber physical systems and big data across three centers within IRI. He is also the Managing Site Director of NSF CVDI – an NSF Industry/University Cooperative Research Center in the area of big data. His research interest is in the broader area of cyber physical systems – specifically addressing real-world informatics and integrated systems modeling issues. He has led various efforts in the area of big data platforms, system resilience, modeling & verification of distributed systems, software defined networks, visual analytics, and evolutionary networks. His research has generated over $7M in funding from various state and federal agencies including NSF, DHS S&T, DOE, state agencies, and the private sector. He has 15 peer-reviewed conference/journal publications, 2 U.S. Patents, and authored several technical reports. He is also part of the US Ignite community leadership group and representative from the city of Lafayette. He has also served on various conference program, and review committees. Most recently he served as the Industry sponsorship chair for the 1st and 2nd IEEE International Conference on Big Data, and is invited to serve as the workshop chair for the IEEE International Conference on Data Mining (ICDM) 2017.

Investigated Projects (PI)

Investigated Projects (Co-PI)

Involved Projects (Researcher)


  • Gottumukkala, N. R., R. Nassar, C.B. Leangsuksun, M. Paun. “Reliability of a system of k nodes for high performance computing applications”. IEEE Transactions on Reliability, Volume 59, Issue 1, March 2010, pp. 162 – 169
  • S. Katz, G. Allen, R. Cortez, C. Cruz-Neira, R. Gottumukkala, Z. D. Greenwood, L. Guice, S. Jha, R. Kolluru, T. Kosar, L. Leger, H. Liu, C. McMahon, J. Nabrzyski, B. Rodriguez-Milla, E. Seidel, G. Speyrer, M. Stubblefield, B. Voss, and S. Whittenburg, “Louisiana: A Model for Advancing Regional e-Research through Cyberinfrastructure,” Philosophical Transactions of the Royal Society A, v. 367, pp. 2459-2469, 2009
  • Engelmann, C. S. L. Scott, D. E. Bernholdt, N. R. Gottumukkala, C. B. Leangsuksun, J. Varma, C. Wang, F. Mueller, A. G. Shet, P. Sadayappan. “MOLAR: Adaptive Runtime Support for High-End Computing Operating and Runtime Systems, ACM SIGOPS Operating Systems Review” Volume 40, Issue 2, pp. 63-72, 2006
  • Gottumukkala, R.N., Siva, R., & Venna, V.R. (2015). Visual analytics of time evolving large-scale graphs. The IEEE Intelligent Informatics Bulletin 16(1), 10-16
about/personnel/raju_gottumukalla.txt · Last modified: 2022/06/14 16:34 by sally.johnson