PNNL

Ramakrishna Tipireddy, Ph.D. is a mathematician at the Advanced Computing Mathematics and Data Division of the Pacific Northwest National Laboratory (PNNL). His research expertise includes machine learning, uncertainty quantification, stochastic partial differential equations, and quantum computing. His research is primarily funded by the Advanced Scientific Computational Research (ASCR) program of the U.S. Department of Energy (DOE).

• B. Tech., Civil Engineering, SVU College of Engineering, Tirupati, India (2003)
• M.E., Structural Engineering, Indian Institute of Science, Bangalore, India (2005)
• Ph.D., Civil Engineering, University of Southern California, CA, USA (2013)

• Scientist, Computational Mathematics group, PNNL, Richland, WA. Machine learning, Uncertainty quantification, Stochastic dimension reduction, domain decomposition and quantum computing (2017–Present)
• Post-doctoral research associate, Computational Mathematics group, PNNL, Richland, WA, Research in uncertainty quantification and stochastic partial differential equations (2013–2017)

• Best paper award at 2015 IEEE Homeland Security Conference for paper “Quantifying mixed uncertainties in cyber attack payoffs”
• Outstanding performance award for Uncertainty Quantification efforts in computational mathematics division at PNNL
• Viterbi fellowship from Viterbi School of Engineering, USC (2007–2008)
• Six Sigma Green Belt certification from General Electric Company