Mustafa Khammash
Mustafa Khammash
Department of Biosystems Science and Engineering, ETH Zurich
Verified email at - Homepage
Cited by
Cited by
The finite state projection algorithm for the solution of the chemical master equation
B Munsky, M Khammash
The Journal of chemical physics 124 (4), 2006
Parameter estimation and model selection in computational biology
G Lillacci, M Khammash
PLoS computational biology 6 (3), e1000696, 2010
Antithetic integral feedback ensures robust perfect adaptation in noisy biomolecular networks
C Briat, A Gupta, M Khammash
Cell systems 2 (1), 15-26, 2016
Surviving heat shock: control strategies for robustness and performance
H El-Samad, H Kurata, JC Doyle, CA Gross, M Khammash
Proceedings of the National Academy of Sciences 102 (8), 2736-2741, 2005
In silico feedback for in vivo regulation of a gene expression circuit
A Milias-Argeitis, S Summers, J Stewart-Ornstein, I Zuleta, D Pincus, ...
Nature biotechnology 29 (12), 1114-1116, 2011
Performance robustness of discrete-time systems with structured uncertainty
M Khammash, JB Pearson
29th IEEE Conference on Decision and Control, 414-420, 1990
Systematic identification of signal-activated stochastic gene regulation
G Neuert, B Munsky, RZ Tan, L Teytelman, M Khammash, ...
Science 339 (6119), 584-587, 2013
A universal biomolecular integral feedback controller for robust perfect adaptation
SK Aoki, G Lillacci, A Gupta, A Baumschlager, D Schweingruber, ...
Nature 570 (7762), 533-537, 2019
Automated optogenetic feedback control for precise and robust regulation of gene expression and cell growth
A Milias-Argeitis, M Rullan, SK Aoki, P Buchmann, M Khammash
Nature communications 7 (1), 12546, 2016
Listening to the noise: random fluctuations reveal gene network parameters
B Munsky, B Trinh, M Khammash
Molecular systems biology 5 (1), 318, 2009
Calcium homeostasis and parturient hypocalcemia: an integral feedback perspective
H El-Samad, JP Goff, M Khammash
Journal of theoretical biology 214 (1), 17-29, 2002
Structured optimal and robust control with multiple criteria: A convex solution
X Qi, MV Salapaka, PG Voulgaris, M Khammash
IEEE Transactions on Automatic Control 49 (10), 1623-1640, 2004
Automatic crosswind flight of tethered wings for airborne wind energy: Modeling, control design, and experimental results
L Fagiano, AU Zgraggen, M Morari, M Khammash
IEEE Transactions on Control Systems Technology 22 (4), 1433-1447, 2013
Stochastic modelling of gene regulatory networks
H El Samad, M Khammash, L Petzold, D Gillespie
International Journal of Robust and Nonlinear Control: IFAC‐Affiliated …, 2005
Direct solution of the chemical master equation using quantized tensor trains
V Kazeev, M Khammash, M Nip, C Schwab
PLoS computational biology 10 (3), e1003359, 2014
Digital quantification of proteins and mRNA in single mammalian cells
C Albayrak, CA Jordi, C Zechner, J Lin, CA Bichsel, M Khammash, S Tay
Molecular cell 61 (6), 914-924, 2016
Reduction and solution of the chemical master equation using time scale separation and finite state projection
S Peleš, B Munsky, M Khammash
The Journal of chemical physics 125 (20), 2006
Robust power system stabilizer design using/spl Hscr//sub/spl infin//loop shaping approach
C Zhu, M Khammash, V Vittal, W Qiu
IEEE Transactions on Power Systems 18 (2), 810-818, 2003
An optogenetic platform for real-time, single-cell interrogation of stochastic transcriptional regulation
M Rullan, D Benzinger, GW Schmidt, A Milias-Argeitis, M Khammash
Molecular cell 70 (4), 745-756. e6, 2018
Module-based analysis of robustness tradeoffs in the heat shock response system
H Kurata, H El-Samad, R Iwasaki, H Ohtake, JC Doyle, I Grigorova, ...
PLoS computational biology 2 (7), e59, 2006
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