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Khem Raj Ghusinga
Khem Raj Ghusinga
Senior Scientist at Applied BioMath, LLC
Verified email at appliedbiomath.com - Homepage
Title
Cited by
Cited by
Year
A mechanistic stochastic framework for regulating bacterial cell division
KR Ghusinga, CA Vargas-Garcia, A Singh
Scientific reports 6 (1), 1-9, 2016
902016
First-passage time approach to controlling noise in the timing of intracellular events
KR Ghusinga, JJ Dennehy, A Singh
Proceedings of the National Academy of Sciences 114 (4), 693-698, 2017
752017
Exact lower and upper bounds on stationary moments in stochastic biochemical systems
KR Ghusinga, CA Vargas-Garcia, A Lamperski, A Singh
Physical biology 14 (4), 04LT01, 2017
592017
Analysis of noise mechanisms in cell-size control
S Modi, CA Vargas-Garcia, KR Ghusinga, A Singh
Biophysical journal 112 (11), 2408-2418, 2017
472017
Cell size control and gene expression homeostasis in single-cells
CA Vargas-Garcia, KR Ghusinga, A Singh
Current opinion in systems biology 8, 109-116, 2018
462018
Approximate moment dynamics for polynomial and trigonometric stochastic systems
KR Ghusinga, M Soltani, A Lamperski, SV Dhople, A Singh
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 1864-1869, 2017
162017
Analysis and control of stochastic systems using semidefinite programming over moments
A Lamperski, KR Ghusinga, A Singh
IEEE Transactions on Automatic Control 64 (4), 1726-1731, 2018
152018
First-passage time calculations for a gene expression model
KR Ghusinga, A Singh
53rd IEEE Conference on Decision and Control, 3047-3052, 2014
152014
Effect of gene-expression bursts on stochastic timing of cellular events
KR Ghusinga, A Singh
2017 American Control Conference (ACC), 2118-2123, 2017
122017
Stochastic optimal control using semidefinite programming for moment dynamics
A Lamperski, KR Ghusinga, A Singh
2016 IEEE 55th Conference on Decision and Control (CDC), 1990-1995, 2016
112016
Theoretical predictions on the first-passage time for a gene expression model
KR Ghusinga, A Singh
2015 54th IEEE Conference on Decision and Control (CDC), 3864-3869, 2015
112015
Moment analysis of stochastic hybrid systems using semidefinite programming
KR Ghusinga, A Lamperski, A Singh
Automatica 112, 108634, 2020
102020
Towards resolution of a paradox in plant G-protein signaling
KR Ghusinga, TC Elston, AM Jones
Plant Physiology 188 (2), 807-815, 2022
72022
Molecular switch architecture determines response properties of signaling pathways
KR Ghusinga, RD Jones, AM Jones, TC Elston
Proceedings of the National Academy of Sciences 118 (11), e2013401118, 2021
7*2021
Optimal auto-regulation to minimize first-passage time variability in protein level
KR Ghusinga, PW Fok, A Singh
2015 American Control Conference (ACC), 4411-4416, 2015
72015
Comparing feedback strategies for minimizing noise in gene expression event timing
Z Vahdat, KR Ghusinga, A Singh
2021 29th Mediterranean Conference on Control and Automation (MED), 450-455, 2021
62021
Optimal regulation of protein degradation to schedule cellular events with precision
KR Ghusinga, A Singh
2016 American Control Conference (ACC), 424-429, 2016
52016
Synthesis of robust tunable oscillators using mitogen activated protein kinase cascades
VV Kulkarni, A Paranjape, KR Ghusinga, N Hovakimyan
Systems and synthetic biology 4 (4), 331-341, 2010
52010
Reported differences in the flg22 response of the null mutation of AtRGS1 correlates with fixed genetic variation in the background of Col-0 isolates
KR Ghusinga, F Paredes, AM Jones, A Colaneri
Plant Signaling & Behavior 16 (4), 1878685, 2021
42021
Controlling event timing precision for gene expression with external disturbances
KR Ghusinga, A Singh
2020 59th IEEE Conference on Decision and Control (CDC), 5867-5872, 2020
42020
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