Prof M (Manjunath) Gandhi

Tel: +27 12 420 2611
E-mail: [email protected]
Position: Associate Professor
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: Autonomous, Nonautonomous and Stochastic Dynamical Systems, Data Driven Modeling

Research interests: Topological Dynamics. Construction of Dynamical Systems from Data using Koopman's Operator Theory. Nonautonomous dynamical systems theory. Dynamics of Critical Phase Transitions. Dynamics of Recurrent Neural Networks and Machine Learning. Information Processing involving Neural and Complex Systems like Gene-Regulatory networks, Epileptic Networks and other Biological Systems.

NRF Rating: B3

ORCID: G Manjunath (0000-0001-7291-1151) - ORCID

Publications over the past five years

Journal articles

Anguelov R, Manjunath G, Phiri AE, Nyakudya TT, Bipath P, Serem JC and Hlophe YN. Quantifying assays: inhibition of signalling pathways of cancer. Mathematical Medicine and Biology: A Journal of the IMA; https://doi.org/10.1093/imammb/dqad005

Manjunath G, Ortega JP, Transport in Reservoir Computing. Physica D: Nonlinear Phenomena.449 (2023):133744; https://doi.org/10.1016/j.physd.2023.133744

Manjunath G An Echo State Network Imparts a Curve Fitting. IEEE Transactions on Neural Networks and Learning Systems 33(6)(2022), 2596-2604

Manjunath G Embedding Information onto a Dynamical System. Nonlinearity 35(3)(2022) 1131-115

Manjunath G Stability and Memory-loss go Hand-in-Hand: Three results in Dynamics and Computation. Proceedings of the Royal Society of London: Series A 476(2020) 20200563:1-16

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

Conference Proceedings

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.

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