Mustafa Khammash

发表

Variance reduction for steady-state simulation and sensitivity analysis of stochastic chemical systems

John Lygeros, Andreas Milias-Argeitis, Mustafa Khammash, 2014 .

Automatic Crosswind Flight of Tethered Wings for Airborne Wind Energy: Modeling, Control Design, and Experimental Results

Lorenzo Fagiano, Manfred Morari, Aldo U. Zgraggen, 2013, IEEE Transactions on Control Systems Technology.

A new approach to the solution of the l1 control problem: the scaled-Q method

Mustafa Khammash, 2000, IEEE Trans. Autom. Control..

Estimation of Parameter Sensitivities for Stochastic Reaction Networks Using Tau-Leap Simulations

Muruhan Rathinam, Mustafa Khammash, Ankit Gupta, 2018, SIAM J. Numer. Anal..

Computational Identification of Irreducible State-Spaces for Stochastic Reaction Networks

Mustafa Khammash, Ankit Gupta, M. Khammash, 2015, SIAM J. Appl. Dyn. Syst..

A linear constrained integral feedback for a class of reaction systems with absolute concentration robustness

Ankit Gupta, Mustafa Khammash, Daniele Cappelletti, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Topics II on Cell Control Problem Analysis of Noise Induced Stochastic Fluctuations in Gene Regulatory Networks

Brian Munsky, Mustafa Khammash, 木村英紀, 2007 .

Integral feedback generically achieves perfect adaptation in stochastic biochemical networks

Ankit Gupta, Mustafa Khammash, Corentin Briat, 2014, 1410.6064.

Multi-objective MIMO optimal control design without zero interpolation

Murti V. Salapaka, Mustafa Khammash, 1998, Robustness in Identification and Control.

Stability and Control of Biomolecular Circuits through Structure

John C. Doyle, Mustafa Khammash, Fangzhou Xiao, 2020, bioRxiv.

Likelihood-free nested sampling for biochemical reaction networks

Mustafa Khammash, Jan Mikelson, M. Khammash, 2019, bioRxiv.

Overexpression of Heat Shock Protein 72 Attenuates NF-κB Activation Using a Combination of Regulatory Mechanisms in Microglia

Xiaoyun Sun, Mustafa Khammash, Patrick W. Sheppard, 2014, PLoS Comput. Biol..

Identification and Control of Cell Populations

John Lygeros, Mustafa Khammash, J. Lygeros, 2015, Encyclopedia of Systems and Control.

Robust Gain-scheduled Aircraft Longitudinal Controller Design using an 3c, Approach *

Mustafa Khammash, Zhe Lin, 2001 .

Analysis of Stochastic Strategies in Bacterial Competence: A Master Equation Approach

Mustafa Khammash, Sandra H. Dandach, 2010, PLoS Comput. Biol..

Systems biology and control — A tutorial

Domitilla Del Vecchio, Pablo A. Iglesias, Eduardo D. Sontag, 2007, 2007 46th IEEE Conference on Decision and Control.

Spatial stochastic simulation of biochemical systems

Brian Drawert, Linda R. Petzold, Mustafa Khammash, 2013 .

Measurement noise distribution as a metric for parameter estimation in dynamical systems

Mustafa Khammash, Gabriele Lillacci, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

System dynamic performance: Robust stabilization of controls over a range of operating conditions

Vijay Vittal, Mustafa Khammash, C. D. Pawloski, 1993 .

The diffusive finite state projection algorithm for efficient simulation of the stochastic reaction-diffusion master equation.

Brian Drawert, Linda Petzold, Mustafa Khammash, 2010, The Journal of chemical physics.

Sensitivity Analysis for Multiscale Stochastic Reaction Networks Using Hybrid Approximations

Ankit Gupta, Mustafa Khammash, 2018, Bulletin of mathematical biology.

Iterative experiment design guides the characterization of a light-inducible gene expression circuit

John Lygeros, Jakob Ruess, Andreas Milias-Argeitis, 2015, Proceedings of the National Academy of Sciences.

Nonlinear stochastic model predictive control via regularized polynomial chaos expansions

Lorenzo Fagiano, Mustafa Khammash, M. Khammash, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Stability analysis of quasi-polynomial dynamical systems with applications to biological network models

Bassam Bamieh, Nader Motee, Mustafa Khammash, 2012, Autom..

Direct numerical solution of algebraic Lyapunov equations for large-scale systems using Quantized Tensor Trains

João Pedro Hespanha, Mustafa Khammash, Michael Nip, 2013, 52nd IEEE Conference on Decision and Control.

The Finite State Projection Approach for the Analysis of Stochastic Noise in Gene Networks

Brian Munsky, Mustafa Khammash, M. Khammash, 2008, IEEE Transactions on Automatic Control.

A synthetic integral feedback controller for robust tunable regulation in bacteria

Mustafa Khammash, Gabriele Lillacci, Stephanie K. Aoki, 2017, bioRxiv.

Finding the steady-state solution of the chemical master equation

Mustafa Khammash, Ankit Gupta, M. Khammash, 2017, 2017 IEEE Conference on Control Technology and Applications (CCTA).

Efficient computation of parameter sensitivities of discrete stochastic chemical reaction networks.

Muruhan Rathinam, Mustafa Khammash, Patrick W Sheppard, 2010, The Journal of chemical physics.

Sensor fusion for tethered wings in airborne wind energy

Lorenzo Fagiano, Bassam Bamieh, Mustafa Khammash, 2013, 2013 American Control Conference.

Stochastic modelling of gene regulatory networks

Linda R. Petzold, Daniel T. Gillespie, Mustafa Khammash, 2005 .

Structured optimal and robust control with multiple criteria: a convex solution

Murti V. Salapaka, Petros G. Voulgaris, Xin Qi, 2004, IEEE Transactions on Automatic Control.

Automatic control of tethered wings for airborne wind energy: Design and experimental results

Lorenzo Fagiano, Manfred Morari, Aldo U. Zgraggen, 2013, 2013 European Control Conference (ECC).

An investigation into the placement of norm-bounded perturbations to analyze stability robustness of power systems

Vijay Vittal, Mustafa Khammash, C. D. Pawloski, 1996, Proceeding of the 1996 IEEE International Conference on Control Applications IEEE International Conference on Control Applications held together with IEEE International Symposium on Intelligent Contro.

Module-Based Analysis of Robustness Tradeoffs in the Heat Shock Response System

John Doyle, Hiroyuki Kurata, Mustafa Khammash, 2006, PLoS Comput. Biol..

Perfect Adaptation and Optimal Equilibrium Productivity in a Simple Microbial Biofuel Metabolic Pathway Using Dynamic Integral Control.

Mustafa Khammash, Corentin Briat, M. Khammash, 2018, ACS synthetic biology.

In-Silico Proportional-Integral Moment Control of Stochastic Reaction Networks with Applications to Gene Expression (with Dimerization) pdf

Corentin Briat, Mustafa Khammash, M. Khammash, 2018, ArXiv.

Analysis of control performance for stability robustness of power systems

Vijay Vittal, Mustafa Khammash, C. D. Pawloski, 1994 .

Detection of loading effects in bacterial stress response using biochemical stochasticity

Gentian Buzi, Mustafa Khammash, 2014, 53rd IEEE Conference on Decision and Control.

Calcium Homeostasis: A Feedback Control Point of View

Mustafa Khammash, Hana El-Samad, 2000, BIBE.

Model reduction of polynomial dynamical systems using differential algebra

Bassam Bamieh, Nader Motee, Mustafa Khammash, 2010, 49th IEEE Conference on Decision and Control (CDC).

Robustness synthesis in l 1: A globally optimal solution

Murti V. Salapaka, Mustafa Khammash, Timothy Van Voorhis, 1998, Robustness in Identification and Control.

Quantification of loading effects in interconnections of stochastic reaction networks

Ankit Gupta, Mustafa Khammash, Patrik Dürrenberger, 2019, 2019 18th European Control Conference (ECC).

Ergodicity analysis and antithetic integral control of a class of stochastic reaction networks with delays

Corentin Briat, Mustafa Khammash, M. Khammash, 2018, bioRxiv.

Model selection in stochastic chemical reaction networks using flow cytometry data

Mustafa Khammash, Gabriele Lillacci, 2011, IEEE Conference on Decision and Control and European Control Conference.

Robust Stabilization of Controls in Power Systems

Vijay Vittal, Mustafa Khammash, C. D. Pawloski, 1995 .

Optimal Parameter Tuning of Feedback Controllers with Application to Biomolecular Antithetic Integral Control

Mustafa Khammash, Maurice Filo, M. Khammash, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Challenges at the interface of control engineering and synthetic biology

Antonis Papachristodoulou, Mustafa Khammash, Harrison Steel, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Design of a synthetic integral feedback circuit: dynamic analysis and DNA implementation

Mustafa Khammash, Corentin Briat, Christoph Zechner, 2016, ACS synthetic biology.

Analysis and synthesis of HVDC controls for robust stability of power systems

Vijay Vittal, Mustafa Khammash, S. Venkataraman, 1995 .

Unbiased Estimation of Parameter Sensitivities for Stochastic Chemical Reaction Networks

Mustafa Khammash, Ankit Gupta, M. Khammash, 2012, SIAM J. Sci. Comput..

Recent progress in mixed objective control synthesis with l1 and H2 norms

Murti V. Salapaka, Mustafa Khammash, Mohammed Dahleh, 1998 .

Application of the structured singular value theory for robust stability and control analysis in multimachine power systems. I. Framework development

Vijay Vittal, Mustafa Khammash, M. Djukanovic, 1998 .

Interval peak-to-peak observers for continuous- and discrete-time systems with persistent inputs and delays

Corentin Briat, Mustafa Khammash, M. Khammash, 2015, Autom..

Using noise transmission properties to identify stochastic gene regulatory networks

Brian Munsky, Mustafa Khammash, M. Khammash, 2008, 2008 47th IEEE Conference on Decision and Control.

Optimization-based Lyapunov function construction for continuous-time Markov chains with affine transition rates

Andreas Milias-Argeitis, Mustafa Khammash, M. Khammash, 2014, 53rd IEEE Conference on Decision and Control.

Parameter identification of biological networks using extended Kalman filtering and χ2 criteria

Mustafa Khammash, Gabriele Lillacci, M. Khammash, 2010, 49th IEEE Conference on Decision and Control (CDC).

Adaptive hybrid simulations for multiscale stochastic reaction networks.

Ankit Gupta, Mustafa Khammash, Benjamin Hepp, 2014, The Journal of chemical physics.

Flow cytometry based state aggregation of a stochastic model of protein expression

Francesco Bullo, Mustafa Khammash, Anahita Mirtabatabaei, 2011, IEEE Conference on Decision and Control and European Control Conference.

Cell-in-the-loop pattern formation with optogenetically emulated cell-to-cell signaling

Mustafa Khammash, Melinda Liu Perkins, Dirk Benzinger, 2020, Nature Communications.

Performance limitations in autocatalytic networks in biology

John Doyle, Bassam Bamieh, Nader Motee, 2010, 49th IEEE Conference on Decision and Control (CDC).

Cell-in-the-loop pattern formation with optogenetically emulated cell-to-cell signaling

Murat Arcak, Mustafa Khammash, Melinda Liu Perkins, 2019, Nature Communications.

/spl Lscr//sub 1/ controller design for a high-order 5-pool irrigation canal system

Mustafa Khammash, P.-O. Malaterre, 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

On the guaranteed accuracy of Polynomial Chaos Expansions

Lorenzo Fagiano, Carlo Novara, Mustafa Khammash, 2011, IEEE Conference on Decision and Control and European Control Conference.

Robust ergodicity and tracking in antithetic integral control of stochastic biochemical reaction networks

Mustafa Khammash, Corentin Briat, 2016 .

On control of tethered wings for airborne wind energy

Lorenzo Fagiano, Manfred Morari, Aldo U. Zgraggen, 2013, 2013 American Control Conference.

Generic low-copy integral feedback for robust in-vivo adaptation pdf

Corentin Briat, Mustafa Khammash, Ankit Gupta, 2014, arXiv.org.

Bayesian Parameter Estimation for Stochastic Reaction Networks from Steady-State Observations

Guido Sanguinetti, Mustafa Khammash, Ankit Gupta, 2019, CMSB.

Regulated degradation is a mechanism for suppressing stochastic fluctuations in gene regulatory networks.

Hana El-Samad, Mustafa Khammash, M. Khammash, 2006, Biophysical journal.

A molecular implementation of the least mean squares estimator

Mustafa Khammash, Christoph Zechner, M. Khammash, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Robust Power System Stabilizer Design Using Loop Shaping Approach

Vijay Vittal, Mustafa Khammash, Wenzheng Qiu, 2003 .

Listening to the noise: random fluctuations reveal gene network parameters

Brian Munsky, Mustafa Khammash, Brooke Trinh, 2009, Molecular systems biology.

An antithetic integral rein controller for bio-molecular networks

Ankit Gupta, Mustafa Khammash, M. Khammash, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Sequential synthesis of structured singular value based decentralized controllers in power systems

Vijay Vittal, Mustafa Khammash, M. Djukanovic, 1999 .

Simple interval observers for linear impulsive systems with applications to sampled-data and switched systems pdf

Corentin Briat, Mustafa Khammash, 2017, ArXiv.

Variance reduction for antithetic integral control of stochastic reaction networks

Corentin Briat, Mustafa Khammash, Ankit Gupta, 2017, bioRxiv.

Antithetic proportional-integral feedback for reduced variance and improved control performance of stochastic reaction networks

Ankit Gupta, Mustafa Khammash, Corentin Briat, 2018, Journal of The Royal Society Interface.

Robust steady-state tracking

Mustafa Khammash, 1994, Proceedings of 1994 American Control Conference - ACC '94.

Robust design of a damping controller for static VAr compensators in power systems

Vijay Vittal, Mustafa Khammash, Xuechun Yu, 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).

Computer control of gene expression: Robust setpoint tracking of protein mean and variance using integral feedback

Corentin Briat, Mustafa Khammash, M. Khammash, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Simulation of stochastic systems via polynomial chaos expansions and convex optimization

Lorenzo Fagiano, Mustafa Khammash, M. Khammash, 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

Analysis of stability robustness of a power system with loads represented by induction motors

Vijay Vittal, Mustafa Khammash, C. D. Pawloski, 1995, Proceedings of International Conference on Control Applications.

Robust ergodicity and tracking in antithetic integral control of stochastic biochemical reaction networks

Corentin Briat, Mustafa Khammash, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Robust and Structural Ergodicity Analysis and Antithetic Integral Control of a Class of Stochastic Reaction Networks

Mustafa Khammash, Corentin Briat, M. Khammash, 2018, bioRxiv.

A pathwise derivative approach to the computation of parameter sensitivities in discrete stochastic chemical systems.

Muruhan Rathinam, Mustafa Khammash, Patrick W Sheppard, 2012, The Journal of chemical physics.

Fundamental Limits and Tradeoffs in Autocatalytic Pathways

Milad Siami, Gentian Buzi, John Doyle, 2020, IEEE Transactions on Automatic Control.

Spatial Stochastic Dynamics Enable Robust Cell Polarization

Brian Drawert, Tau-Mu Yi, Linda R. Petzold, 2013, PLoS Comput. Biol..

Likelihood-free nested sampling for parameter inference of biochemical reaction networks

Mustafa Khammash, Jan Mikelson, M. Khammash, 2020, PLoS Comput. Biol..

Stochastic Modeling of Gene Regulatory Networks y

Linda R. Petzold, Daniel T. Gillespie, Mustafa Khammash, 2005 .

Direct Solution of the Chemical Master Equation Using Quantized Tensor Trains

Vladimir A. Kazeev, Mustafa Khammash, Christoph Schwab, 2014, PLoS Comput. Biol..

Analysis of steady-state tracking errors in sampled-data systems with uncertainty

Mustafa Khammash, Liping Zou, 2001, Autom..

A distribution‐matching method for parameter estimation and model selection in computational biology

Mustafa Khammash, Gabriele Lillacci, M. Khammash, 2012 .

A spectral methods-based solution of the Chemical Master Equation for gene regulatory networks

João Pedro Hespanha, Mustafa Khammash, Michael Nip, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

OPTIMAL PERFORMANCE OF THE HEAT-SHOCK GENE REGULATORY NETWORK

Linda R. Petzold, Mustafa Khammash, Chris Homescu, 2005 .

Stability analysis of LPV systems with piecewise differentiable parameters pdf

Corentin Briat, Mustafa Khammash, M. Khammash, 2017, IFAC-PapersOnLine.

Molecular circuits for dynamic noise filtering

Georg Seelig, Mustafa Khammash, Christoph Zechner, 2016, Proceedings of the National Academy of Sciences.

Robust synthesis in 1: a globally optimal solution

Murti V. Salapaka, Mustafa Khammash, Timothy Van Voorhis, 2001, IEEE Trans. Autom. Control..

Reverse engineering: the architecture of biological networks.

Mustafa Khammash, M. Khammash, 2008, BioTechniques.

System theory applications in biology: From stochastic chemical kinetics to deterministic model invalidation

Brian Munsky, Mustafa Khammash, 2007, 2007 European Control Conference (ECC).

On Sensor Fusion for Airborne Wind Energy Systems

Lorenzo Fagiano, Bassam Bamieh, Mustafa Khammash, 2012, IEEE Transactions on Control Systems Technology.

Stochastic Description of Biochemical Networks

João Pedro Hespanha, Mustafa Khammash, J. Hespanha, 2015, Encyclopedia of Systems and Control.

Reduction and solution of the chemical master equation using time scale separation and finite state projection.

Brian Munsky, Mustafa Khammash, Slaven Peles, 2006, The Journal of chemical physics.

SPSens: a software package for stochastic parameter sensitivity analysis of biochemical reaction networks

Muruhan Rathinam, Mustafa Khammash, Patrick W. Sheppard, 2013, Bioinform..

Integral population control of a quadratic dimerization process

Corentin Briat, Mustafa Khammash, 2013, 52nd IEEE Conference on Decision and Control.

Implementation Considerations, Not Topological Differences, Are the Main Determinants of Noise Suppression Properties in Feedback and Incoherent Feedforward Circuits

Gentian Buzi, Mustafa Khammash, M. Khammash, 2016, PLoS Comput. Biol..

Guest Editorial - Special Issue on Systems Biology

Claire J. Tomlin, Mathukumalli Vidyasagar, Mustafa Khammash, 2008, IEEE Trans. Autom. Control..

Estimation and Optimal Configurations for Localization Using Cooperative UAVs

Karl Johan Åström, Keith B. Purvis, Mustafa Khammash, 2008, IEEE Transactions on Control Systems Technology.

Enhancement of power system transmission using robust control design

Vijay Vittal, Mustafa Khammash, S. Venkataraman, 1994, Proceedings of IEEE/PES Transmission and Distribution Conference.

Quantitative characterization and analysis of the dynamic NF-κB response in microglia

Xiaoyun Sun, Mustafa Khammash, Patrick W. Sheppard, 2011, BMC Bioinformatics.

Decentralized power system stabilizer design using linear parameter varying approach

Vijay Vittal, Mustafa Khammash, Wenzheng Qiu, 2004 .

Time-varying control and the robust performance of systems with structured norm-bounded perturbations

Mustafa Khammash, Mohammed Dahleh, 1992, Autom..

Robust and structural ergodicity analysis of stochastic biomolecular networks involving synthetic antithetic integral controllers pdf

Corentin Briat, Mustafa Khammash, M. Khammash, 2017, ArXiv.

Analysis of control performance for stability robustness of power systems

Vijay Vittal, Mustafa Khammash, C. D. Pawloski, 1993, Proceedings of 32nd IEEE Conference on Decision and Control.

Global identifiability of a simple linear model for gene expression analysis

Uwe Helmke, Knut Hüper, Mustafa Khammash, 2013, 52nd IEEE Conference on Decision and Control.

Sign properties of Metzler matrices with applications pdf

Corentin Briat, Mustafa Khammash, M. Khammash, 2015, ArXiv.

Variance reduction in stochastic gene expression under integral feedback control

Corentin Briat, Mustafa Khammash, Ankit Gupta, 2018, 2018 IEEE Conference on Decision and Control (CDC).

Characterization and mitigation of gene expression burden in mammalian cells

Mustafa Khammash, Velia Siciliano, Guy-Bart Stan, 2020, Nature Communications.

Antithetic Integral Feedback Ensures Robust Perfect Adaptation in Noisy Biomolecular Networks.

Ankit Gupta, Mustafa Khammash, Corentin Briat, 2014, Cell systems.

Approximate filtering distributions for characterizing input-output behavior of biochemical networks

Mustafa Khammash, Christoph Zechner, M. Khammash, 2016, 2016 European Control Conference (ECC).

Parameter Estimation and Model Selection in Computational Biology

Mustafa Khammash, Gabriele Lillacci, M. Khammash, 2010, PLoS Comput. Biol..

Frequency Spectra and the Color of Cellular Noise

Ankit Gupta, Mustafa Khammash, M. Khammash, 2020, bioRxiv.

A multiple time interval finite state projection algorithm for the solution to the chemical master equation

Brian Munsky, Mustafa Khammash, M. Khammash, 2007, J. Comput. Phys..

Ergodicity, Output-Controllability, and Antithetic Integral Control of Uncertain Stochastic Reaction Networks

Mustafa Khammash, Corentin Briat, 2021, IEEE Transactions on Automatic Control.

Optimal and $H_\infty$ Control of Stochastic Reaction Networks pdf

Corentin Briat, Mustafa Khammash, 2021, ArXiv.

Stability and Control of Biomolecular Circuits through Structure

Mustafa Khammash, Fangzhou Xiao, John Doyle, 2021, 2021 American Control Conference (ACC).

A New Approach to the Solution of the Control Problem: The Scaled- Method

Mustafa Khammash, 2000 .

A parallelizable sampling method for parameter inference of large biochemical reaction models

Mustafa Khammash, Jan Mikelson, M. Khammash, 2016, 1606.08281.

Antithetic Integral Feedback: A new motif for robust perfect adaptation in noisy biomolecular networks

Mustafa Khammash, Corentin Briat, M. Khammash, 2014, bioRxiv.

Dynamical optimization using reduced order models: A method to guarantee performance

Frank Allgöwer, Jan Hasenauer, Mustafa Khammash, 2012 .

Stochastic focusing coupled with negative feedback enables robust regulation in biochemical reaction networks

Stefan Engblom, Andreas Milias-Argeitis, Mustafa Khammash, 2015, Journal of The Royal Society Interface.

Dynamic Blue Light-Inducible T7 RNA Polymerases (Opto-T7RNAPs) for Precise Spatiotemporal Gene Expression Control.

Mustafa Khammash, Armin Baumschlager, M. Khammash, 2017, ACS synthetic biology.

Determining the long-term behavior of cell populations: A new procedure for detecting ergodicity in large stochastic reaction networks

Mustafa Khammash, M. Khammash, Ankit Gupta, 2013, 1312.2879.

A Multiple TimeStep Finite State Projection Algorithm for the Solution to the Chemical Master Equation

Brian Munsky, Mustafa Khammash, M. Khammash, 2006 .

Robust Control of Large Scale Power Systems

Mustafa Khammash, Wenzheng Qiu, Chuanjiang Zhu, 2003 .

Synthesis of globally optimal controllers for robust performance to unstructured uncertainty

Mustafa Khammash, M. Khammash, 1996, IEEE Trans. Autom. Control..

A finite state projection method for steady-state sensitivity analysis of stochastic reaction networks.

Mustafa Khammash, Patrik Dürrenberger, M. Khammash, 2018, The Journal of chemical physics.

Dynamic blue light-inducible T7 RNA polymerases (Opto-T7RNAPs) for precise spatiotemporal gene expression control

Mustafa Khammash, Stephanie K. Aoki, Armin Baumschlager, 2017, bioRxiv.

Robust Control of Large Scale Power Systems Final Project Report

Vijay Vittal, Mustafa Khammash, Wenzheng Qiu, 2003 .

Digital Quantification of Proteins and mRNA in Single Mammalian Cells.

Mustafa Khammash, Cem Albayrak, Savaş Tay, 2016, Molecular cell.

Principles of Systems Biology, No. 30.

Hernan G. Garcia, Andreas Milias-Argeitis, Mustafa Khammash, 2018, Cell systems.

Title Quantitative characterization and analysis of the dynamic NF-kappaB response in microglia

Mustafa Khammash, Patrick W Sheppard, Xiaoyun Sun, 2011 .

Supplementary material from "Antithetic proportional-integral feedback for reduced variance and improved control performance of stochastic reaction networks"

Mustafa Khammash, Corentin Briat, Ankit Gupta, 2018 .

Robust performance bounds for systems with time-varying uncertainty

Mustafa Khammash, 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

Equilibrium distributions of simple biochemical reaction systems for time-scale separation in stochastic reaction networks

João P. Hespanha, Mustafa Khammash, Bence Mélykúti, 2014, Journal of The Royal Society Interface.

Robustness Synthesis for Discrete-time Systems with Structured Uncertainty

Mustafa Khammash, J.B. Pearson, 1991, 1991 American Control Conference.

Optimal controller synthesis with multiple objectives

Murti V. Salapaka, Mustafa Khammash, Xin Qi, 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

A finite state projection algorithm for the stationary solution of the chemical master equation.

Mustafa Khammash, Jan Mikelson, M. Khammash, 2017, The Journal of chemical physics.

Optogenetic single-cell control of transcription achieves mRNA tunability and reduced variability

Andreas Milias-Argeitis, Mustafa Khammash, Dirk Benzinger, 2017, bioRxiv.

On a large-gain theorem

Tryphon T. Georgiou, Mustafa Khammash, Alexander Megretski, 1997 .

Multi-objective MIMO optimal control design without zero interpolation

Murti V. Salapaka, Mustafa Khammash, 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

An efficient and unbiased method for sensitivity analysis of stochastic reaction networks

Mustafa Khammash, M. Khammash, Ankit Gupta, 2014, Journal of The Royal Society Interface.

Cell lineage branching as a strategy for proliferative control

Gentian Buzi, Mustafa Khammash, Arthur D Lander, 2015, BMC Biology.

Robust steady-state tracking of sampled-data systems

Mustafa Khammash, M. Khammash, L. Zou, 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

Model Reduction Using Multiple Time Scales in Stochastic Gene Regulatory Networks

Brian Munsky, Mustafa Khammash, Slaven Peles, 2006 .

l1 Controller Design for a High-Order 5-Pool Irrigation Canal System

Mustafa Khammash, Pierre-Olivier Malaterre, M. Khammash, 2003 .

Robust performance: unknown disturbances and known fixed inputs

Mustafa Khammash, 1997, IEEE Trans. Autom. Control..