N Sri Namachchivaya

Professor

PhD, University of Waterloo

N. Sri Namachchivaya

Email: navam@uwaterloo.ca
Office: MC 6128
Homepage

Fields-CQAM Laboratory for Inference & Prediction

Professor Sri Namachchivaya has been working on several research topics, spread broadly across the field of "Dynamical Systems, Estimation, and Control," for the past thirty years. He is internationally renowned for his scholarly contributions to the fields of nonlinear systems, random dynamical systems, estimation and filtering theory. His research focuses on understanding the stability and bifurcations in noisy dynamical systems and developing new algorithms and tools for the collection and assimilation of data using multidisciplinary mix of approaches from asymptotic methods, modeling, statistical learning and simulations. The overall goal of his current research program is to provide students with information and tools that will enable them to solve real-world, data-centric problems. During his research career, Professor Sri Namachchivaya was a principal investigator or co-principal investigator on grants (NSF, AFOSR, ONR, DOE, EPRI and McDonald Douglas Foundation) totaling over $8 million Canadian dollars and to date, his research has resulted in 13 edited books and more than 250 journal articles, book chapters, and refereed conference papers. He has presented over 150 invited talks, including numerous keynote lectures. He has advised or co-advised 8 post-doctoral associates, 20 doctoral students, 21 thesis - master's degree students and numerous undergraduate projects.Professor Sri Namachchivaya  is the recipient of numerous awards and recognitions, including the NSF Presidential Young Investigator Award(1990), Xerox Award (1989 & 1993), ASME Outstanding Professional Service Award (2007), MSRI (2007) and Russell Severance Springer (2011) Distinguished Professorships at the University of California, Berkeley and he has been invited as a distinguished visiting professor at numerous institutions world-wide.

Research interests

  • Multi-scale modeling
  • Homogenization
  • Filtering and estimation
  • Stability and bifurcation theory
  • Nonlinear and random dynamical systems

Selected publications