| A genetic mammalian proportional–integral feedback control circuit for robust and precise gene regulation T Frei, CH Chang, M Filo, A Arampatzis, M Khammash Proceedings of the National Academy of Sciences 119 (00), e2122132119, 2022 | 40 | 2022 |
| A hierarchy of biomolecular proportional-integral-derivative feedback controllers for robust perfect adaptation and dynamic performance M Filo, S Kumar, M Khammash Nature communications 13 (1), 2119, 2022 | 39 | 2022 |
| An input–output approach to structured stochastic uncertainty B Bamieh, M Filo IEEE Transactions on Automatic Control 65 (12), 5012-5027, 2020 | 19 | 2020 |
| Automated composer recognition for multi-voice piano compositions using rhythmic features, n-grams and modified cortical algorithms N Hajj, M Filo, M Awad Complex & Intelligent Systems 4, 55-65, 2018 | 17 | 2018 |
| A cybergenetic framework for engineering intein-mediated integral feedback control systems S Anastassov, M Filo, CH Chang, M Khammash Nature Communications 14 (1), 1337, 2023 | 15 | 2023 |
| Genetically engineered integral feedback controllers for robust perfect adaptation in mammalian cells T Frei, CH Chang, M Filo, M Khammash BioRxiv, 2020.12. 06.412304, 2020 | 15 | 2020 |
| Biomolecular feedback controllers: from theory to applications M Filo, CH Chang, M Khammash Current Opinion in Biotechnology 79, 102882, 2023 | 12 | 2023 |
| Exploiting the nonlinear structure of the antithetic integral controller to enhance dynamic performance M Filo, S Kumar, S Anastassov, M Khammash 2022 IEEE 61st Conference on Decision and Control (CDC), 1294-1299, 2022 | 9 | 2022 |
| Optimal parameter tuning of feedback controllers with application to biomolecular antithetic integral control M Filo, M Khammash 2019 IEEE 58th Conference on Decision and Control (CDC), 951-957, 2019 | 9 | 2019 |
| An input-output approach to structured stochastic uncertainty in continuous time M Filo, B Bamieh arXiv preprint arXiv:1806.09091, 2018 | 6 | 2018 |
| A class of simple biomolecular antithetic proportional-integral-derivative controllers M Filo, M Khammash bioRxiv, 2021-03, 2021 | 5 | 2021 |
| Function space approach for gradient descent in optimal control M Filo, B Bamieh 2018 Annual American Control Conference (ACC), 3447-3453, 2018 | 5 | 2018 |
| Order reduction and efficient implementation of nonlinear nonlocal cochlear response models M Filo, F Karameh, M Awad Biological cybernetics 110, 435-454, 2016 | 5 | 2016 |
| A hidden proportional feedback mechanism underlies enhanced dynamic performance and noise rejection in sensor-based antithetic integral control M Filo, M Hou, M Khammash bioRxiv, 2023.04. 16.537062, 2023 | 3 | 2023 |
| A block diagram approach to stochastic calculus with application to multiplicative uncertainty analysis M Filo, B Bamieh 2018 IEEE Conference on Decision and Control (CDC), 3270-3275, 2018 | 3 | 2018 |
| Topics in modeling of cochlear dynamics: Computation, response and stability analysis MG Filo University of California, Santa Barbara, 2017 | 3 | 2017 |
| Inteins in the loop: a framework for engineering advanced biomolecular controllers for robust perfect adaptation S Anastassov, M Filo, CH Chang, M Khammash biorxiv, 2022.08. 05.502923, 2022 | 2 | 2022 |
| Investigating cochlear instabilities using structured stochastic uncertainty M Filo, B Bamieh 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 1634-1640, 2017 | 2 | 2017 |
| Topics in Stochastic Stability, Optimal Control and Estimation Theory MG Filo University of California, Santa Barbara, 2018 | 1 | 2018 |
| Inteins: A Swiss army knife for synthetic biology S Anastassov, M Filo, M Khammash Biotechnology Advances, 108349, 2024 | | 2024 |
Mustafa KhammashDepartment of Biosystems Science and Engineering, ETH ZurichVerified email at bsse.ethz.ch
