dr. A. (Andreas) Milias Argeitis

Tenure-track assistant professor

Telephone:
E-mail:
a.milias.argeitis rug.nl

Research

Postal address:
Nijenborgh4
Gebouw 5114, ruimte 0038
9747 AG
Groningen
Netherlands
Phone: +31 50 363 6225Fax: +31 50 363 4165
  1. 2019
  2. Kurdyaeva, T., & Milias-Argeitis, A. (2019). Efficient global sensitivity analysis of biochemical networks using Gaussian process regression. In 2018 IEEE Conference on Decision and Control, CDC 2018 (pp. 2673-2678). [8618902] (Proceedings of the IEEE Conference on Decision and Control). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2018.8618902
  3. 2018
  4. Garcia, H. G., Benzinger, D., Rullan, M., Milias-Argeitis, A., Khammash, M., Deutschbauer, A. M., ... Gladfelter, A. S. (2018). Principles of Systems Biology, No. 30. Cell systems, 7(1), 1-2. https://doi.org/10.1016/j.cels.2018.07.002
  5. 2017
  6. 2016
  7. Milias-Argeitis, A., & Khammash, M. (2016). Adaptive Model Predictive Control of an optogenetic system. In 2015 54th IEEE Conference on Decision and Control, CDC 2015 (Vol. 2016-February, pp. 1265-1270). [7402385] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2015.7402385
  8. 2015
  9. Milias-Argeitis, A., & Khammash, M. (2015). Optimization-based Lyapunov function construction for continuous-time Markov chains with affine transition rates. In Proceedings of the IEEE Conference on Decision and Control (pp. 4617-4622). (Proceedings of the IEEE Conference on Decision and Control; Vol. 2015-February). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2014.7040110
  10. 2014
  11. 2013
  12. Esfahani, P. M., Milias-Argeitis, A., & Chatterjee, D. (2013). Analysis of controlled biological switches via stochastic motion planning. In 2013 European Control Conference, ECC 2013 (pp. 93-98). [6669626]
  13. 2011
  14. Milias-Argeitis, A., Summers, S., Stewart-Ornstein, J., Zuleta, I., Pincus, D., El-Samad, H., ... Lygeros, J. (2011). In silico feedback for in vivo regulation of a gene expression circuit. Nature Biotechnology, 29, 1114-1116. https://doi.org/10.1038/nbt.2018
  15. 2010
  16. Milias-Argeitis, A., Porreca, R., Summers, S., & Lygeros, J. (2010). Bayesian model selection for the yeast GATA-factor network: A comparison of computational approaches. In 2010 49th IEEE Conference on Decision and Control, CDC 2010 (pp. 3379-3384). [5717307] https://doi.org/10.1109/CDC.2010.5717307
  17. 2009
  18. Cinquemani, E., Milias-Argeitis, A., Summers, S., & Lygeros, J. (2009). Local identification of piecewise deterministic models of genetic networks. In Hybrid Systems: Computation and Control - 12th International Conference, HSCC 2009, Proceedings (Vol. 5469, pp. 105-119). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5469). https://doi.org/10.1007/978-3-642-00602-9_8
  19. 2008
  20. Cinquemani, E., Milias-Argeitis, A., & Lygeros, J. (2008). Identification of genetic regulatory networks: A stochastic hybrid approach. In Proceedings of the 17th World Congress, International Federation of Automatic Control, IFAC (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 17, No. 1 PART 1). Elsevier.

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