Badal Joshi

Associate Professor and Graduate Program Coordinator
Department of Mathematics
California State University San Marcos

bjoshi at csusm dot edu
Craven Hall, Room 6130

Professional Trajectory


Talk at Mathematics of Reaction Networks (online) Dynamic Absolute Concentration Robustness in September 2021.
Short (15 min.) talk on Static and Dynamic Absolute Concentration Robustness in May 2021.

Research Publications and Preprints

  1. Prevalence of multistationarity and absolute concentration robustness in reaction networks , with Nidhi Kaihnsa, Tung D. Nguyen, and Anne Shiu, arXiv, submitted: January 2023.

  2. Normal form for dynamic absolute concentration robustness , with Gheorghe Craciun, arXiv, submitted: November 2022.

  3. Foundations of Static and Dynamic Absolute Concentration Robustness, with Gheorghe Craciun, Journal of Mathematical Biology, Vol. 85, 53 (2022), Link. arXiv.

  4. Transition graph decomposition for complex balanced reaction networks with non-mass-action kinetics, with Daniele Cappelletti, Stochastic methods for biological systems, special issue of Mathematical Biosciences and Engineering, Vol. 19, Issue 8, 2022, arXiv.

  5. Reaction Network Motifs for Static and Dynamic Absolute Concentration Robustness, with Gheorghe Craciun, to appear in SIAM Journal on Applied Dynamical Systems, arXiv.

  6. Multistationarity in cyclic sequestration-transmutation networks, with Gheorghe Craciun, Casian Pantea, and Ike Tan, Bulletin of Mathematical Biology, 84:65 (2022), arXiv.

  7. Autocatalytic recombination systems: A reaction network perspective, with Gheorghe Craciun, Abhishek Deshpande, and Polly Y. Yu, Mathematical Biosciences, Vol. 345 (2022) 108784, arXiv.

  8. On reaction network implementations of neural networks, with David F. Anderson, and Abhishek Deshpande, Journal of Royal Society Interface, Vol. 18, Issue 177 (April 2021). arXiv.

  9. Autocatalytic Networks: An Intimate Relation between Network Topology and Dynamics, with Gheorghe Craciun, SIAM Journal on Applied Mathematics, Vol. 81, issue:4, pp.1623-1644 (August 2021), arXiv.

  10. Detailed balance = complex balance + cycle balance: A graph-theoretic proof for reaction networks and Markov chains, with Stefan Müller, arXiv, Bulletin of Mathematical Biology, Vol. 82, Article number: 116 (September 2020).

  11. Graphically balanced equilibria and stationary measures of reaction networks, with Daniele Cappelletti, SIAM Journal on Applied Dynamical Systems, Vol. 17, pp.2146-2175 (August 2018). arXiv.

  12. Deterministic Stability Regimes and Noise-Induced Quasistable Behavior in a Pair of Reciprocally Inhibitory Neurons, with Mainak Patel, Journal of Theoretical Biology, Vol. 441, pp.68-83 (March 2018), Link.

  13. Which small reaction networks are multistationary?, with Anne Shiu, SIAM Journal on Applied Dynamical Systems, Vol. 1618, No.2, pp.802-833 (April 2017). arXiv.

  14. Modeling the Evolving Oscillatory Dynamics of the Rat Locus Coeruleus Through Early Infancy, with Mainak Patel, Brain Research, 1618, pp. 181-193 (August 2015), Link.

  15. A survey of methods for deciding whether a reaction network is multistationary, with Anne Shiu, Chemical Dynamics special issue of Mathematical Modelling of Natural Phenomena, 10, pp. 47-67 (published online - August 2015) arXiv.

  16. A detailed balanced reaction network is sufficient but not necessary for its Markov chain to be detailed balanced, Discrete and Continuous Dynamical Systems - Series B, 20, pp. 1077-1105 (June 2015) arXiv,

  17. Encoding Whisker Deflection Velocity within the Rodent Barrel Cortex using Phase-Delayed Inhibition, with Runjing Liu and Mainak Patel, Journal of Computational Neuroscience, 37, pp. 387-401 (December 2014), Link.

  18. Switching mechanisms and bout times in a pair of reciprocally inhibitory neurons, with Mainak Patel. Journal of Computational Neuroscience, 36, pp. 177-191 (February 2014), Link.

  19. Decoding synchronized oscillations within the brain: phase-delayed inhibition provides a robust mechanism for creating a sharp synchrony filter, with Mainak Patel. Journal of Theoretical Biology, 334, pp. 13-25 (October 2013), Preprint version (contains supplementary information), Link.

  20. Encoding with synchrony: phase-delayed inhibition allows for reliable and specific stimulus detection, with Mainak Patel. Journal of Theoretical Biology, 328, pp. 26-32 (July 2013), Link.

  21. Complete characterization by multistationarity of fully open networks with one non-flow reaction. Applied Mathematics and Computation, 219:12, pp. 6931-6945 (February 2013). arXiv

  22. Atoms of multistationarity in chemical reaction networks, with Anne Shiu. Journal of Mathematical Chemistry, 51:1, pp. 153-178 (2013). arXiv

  23. Simplifying the Jacobian criterion for precluding multistationarity in chemical reaction networks, with Anne Shiu. SIAM J. Appl. Math., 72:3, pp. 857-876 (2012). arXiv

  24. Order of magnitude time-reversible Markov chains and characterization of clustering processes (October 2011). arXiv

  25. A doubly stochastic Poisson process for wake-sleep cycling, Ph.D. Dissertation, July 2009.

  26. On immunotherapies and cancer vaccination protocols: A mathematical modelling approach, with Xueying Wang, Sayanti Banerjee, Haiyan Tian, Anastasios Matzavinos, and Mark A.J. Chaplain. Journal of Theoretical Biology, 259:4, pp.820-827 (August 2009), Link.

  27. Developmental emergence of power-law wake behavior depends upon the functional integrity of the Locus Coeruleus, with Andrew Gall, Janet Best, Virginia R. Florang, Jonathan A. Doorn and Mark Blumberg. Sleep, 32:7 (2009), Link.