Tel: +27 12 420 2611
E-mail: [email protected]
Position: Senior Lecturer
Office: Maths building 1-27.1
Academic qualifications: Bachelor of Engineering (Bangalore University), MSc (Indian Institute of Science), PhD (Indian Institute of Science)
Fields of interest: Deterministic and stochastic dynamical systems, especially topological dynamics, dynamical decomposition, nonautonomous attractors, recurrence, stability and bifurcation. Network of dynamical systems.
Research interests: Foundational study of nonautonomous dynamical systems and applications in epileptic networks, epidemiology and recurrent neural networks; Random difference equations and their analysis for application in networks, control, finance etc. Deterministic and statistical memory loss in dynamical systems and stability study.
||NRF Rating: C3
Publications over the past five years
G. Manjunath, Memory loss in dynamical systems and the Earth, Under Review, 2016.
G. Manjunath, Evolving Network Model that Almost Regenerates Epileptic Data, Neural Computation, Vol. 29(4), 937 – 967, 2017; download– https://goo.gl/DBR5Es
G. Manjunath & H. Jaeger, The dynamics of random difference equations can be remodeled by closed relations, SIAM J. Math. Anal., 46(1), 459 – 483, 2014; download https://goo.gl/1UNkBg
G. Manjunath & H. Jaeger, Echo state property linked to an input: exploring a fundamental characteristic of recurrent neural networks, Neural Computation, 25(3), 671-696, 2013; download– https://goo.gl/cCysVy
G. Manjunath & D. Fournier-Prunaret, Strong persistence of an attractor and generalized partial synchronization in a coupled chaotic system, Chaos, 21(2), 023110, 2011;download– https://goo.gl/EQLHF8
G. Manjunath, P. Tino & H. Jaeger, Theory of input driven dynamical systems, European symposium on Artificial Neural Networks, computational Intelligence and Machine Learning, Bruges, pp. 1 - 12, 2012.