Badal Joshi
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Professor
Department of Mathematics
California State University San Marcos
bjoshi at csusm dot edu
Administrative Building, Room 6232
Professional Trajectory
- 2023-present: Professor at California State University San Marcos.
- 2018-2023: Associate Professor at California State University San Marcos.
- 2013-2018: Assistant Professor at California State University San Marcos.
- 2012-2013: Postdoctoral Fellow at University of Minnesota.
- 2009-2012: Assistant Research Professor at Duke University.
- 2009: PhD in Mathematics, Ohio State University.
- 2004: MS in Physics, Ohio State University.
Recent Travel
Research interests:
- Research in Teams Workshop: Mathematical foundations of chemical computing, Banff International Research Station (BIRS), Banff, Canada, March 2026.
- Chemical Reaction Networks in Hawaiʻi 2026 (CRNT2026), University of Hawaiʻi at Mānoa, Honolulu, HI, May 17–22, 2026. (Invited keynote: Computing with reaction networks: input-independent speed and rate-constant-independent accuracy.)
- 14th European Conference on Mathematical & Theoretical Biology (ECMTB 2026), University of Graz, Austria, July 13–17, 2026. (Organizing two minisymposia jointly with Jinsu Kim and Tung Nguyen: Mathematical Foundations of Biochemical Computing and Molecular Computing: Theory and Implementations. Talk: Reliable computing with reaction networks with unknown or variable rate constants.)
- Theory and applications of biochemical reaction networks
- Mathematical foundations of reaction network based computers
Research Publications
- David F. Anderson, Badal Joshi, and Tung D. Nguyen. Computing with reaction networks at input-independent speed: exponential and logarithmic functions, arXiv preprint (2026). [arXiv]
- Badal Joshi and Tung D. Nguyen. Bifunctional enzyme action as a source of robustness in biochemical reaction networks: a novel hypergraph approach, Journal of the Royal Society Interface, Vol. 23, 20250252 (2026). [doi] [arXiv]
- David F. Anderson and Badal Joshi. Chemical mass-action systems as analog computers: implementing arithmetic computations at specified speed, Theoretical Computer Science, Volume 1025, 114983 (2025). [doi] [arXiv]
- Badal Joshi and Tung D. Nguyen. Bifunctional enzyme provides absolute concentration robustness in multisite covalent modification networks, Journal of Mathematical Biology, Vol. 88, 36 (2024). [doi] [arXiv]
- Mainak Patel and Badal Joshi. Development of the sleep-wake switch in rats during the P2-P21 early infancy period, Frontiers in Network Physiology: Networks in Sleep and Circadian Systems, Vol. 3, (2023). [doi]
- Badal Joshi and Gheorghe Craciun. Power-engine-load form for dynamic absolute concentration robustness, SIAM Journal on Applied Mathematics, Vol. 83, Iss. 6, (2023). [doi] [arXiv]
- Badal Joshi, Nidhi Kaihnsa, Tung D. Nguyen, and Anne Shiu. Prevalence of multistationarity and absolute concentration robustness in reaction networks, SIAM Journal on Applied Mathematics, Vol. 83, Iss. 6, (2023). [doi] [arXiv]
- Badal Joshi and Gheorghe Craciun. Reaction Network Motifs for Static and Dynamic Absolute Concentration Robustness, SIAM Journal on Applied Dynamical Systems, Vol. 22, No. 2, pp. 501-526, (2023). [doi] [arXiv]
- Badal Joshi and Gheorghe Craciun. Foundations of Static and Dynamic Absolute Concentration Robustness, Journal of Mathematical Biology, Vol. 85, 53 (2022). [doi] [arXiv]
- Daniele Cappelletti and Badal Joshi. Transition graph decomposition for complex balanced reaction networks with non-mass-action kinetics, Stochastic methods for biological systems, special issue of Mathematical Biosciences and Engineering, Vol. 19, Issue 8, (2022). [doi] [arXiv]
- Gheorghe Craciun, Badal Joshi, Casian Pantea, and Ike Tan. Multistationarity in cyclic sequestration-transmutation networks, Bulletin of Mathematical Biology, 84:65 (2022). [doi] [arXiv]
- Gheorghe Craciun, Abhishek Deshpande, Badal Joshi, and Polly Y. Yu. Autocatalytic recombination systems: A reaction network perspective, Mathematical Biosciences, Vol. 345, 108784 (2022). [doi] [arXiv]
- David F. Anderson, Badal Joshi, and Abhishek Deshpande. On reaction network implementations of neural networks, Journal of the Royal Society Interface, Vol. 18, Issue 177 (April 2021). [doi] [arXiv]
- Badal Joshi and Gheorghe Craciun. Autocatalytic Networks: An Intimate Relation between Network Topology and Dynamics, SIAM Journal on Applied Mathematics, Vol. 81, Issue 4, pp. 1623-1644 (August 2021). [doi] [arXiv]
- Stefan Müller and Badal Joshi. Detailed balance = complex balance + cycle balance: A graph-theoretic proof for reaction networks and Markov chains, Bulletin of Mathematical Biology, Vol. 82, Article number: 116 (September 2020). [doi] [arXiv]
- Daniele Cappelletti and Badal Joshi. Graphically balanced equilibria and stationary measures of reaction networks, SIAM Journal on Applied Dynamical Systems, Vol. 17, No. 3, pp. 2146-2175 (August 2018). [doi] [arXiv]
- Mainak Patel and Badal Joshi. Deterministic Stability Regimes and Noise-Induced Quasistable Behavior in a Pair of Reciprocally Inhibitory Neurons, Journal of Theoretical Biology, Vol. 441, pp. 68-83 (March 2018). [doi]
- Badal Joshi and Anne Shiu. Which small reaction networks are multistationary?, SIAM Journal on Applied Dynamical Systems, Vol. 16, No. 2, pp. 802-833 (April 2017). [doi] [arXiv]
- Mainak Patel and Badal Joshi. Modeling the Evolving Oscillatory Dynamics of the Rat Locus Coeruleus Through Early Infancy, Brain Research, Vol. 1618, pp. 181-193 (August 2015). [doi]
- Badal Joshi and Anne Shiu. A survey of methods for deciding whether a reaction network is multistationary, Chemical Dynamics special issue of Mathematical Modelling of Natural Phenomena, Vol. 10, No. 5, pp. 47-67 (August 2015). [doi] [arXiv]
- Badal Joshi. 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, Vol. 20, pp. 1077-1105 (June 2015). [doi] [arXiv]
- Runjing Liu*, Mainak Patel, and Badal Joshi. Encoding Whisker Deflection Velocity within the Rodent Barrel Cortex using Phase-Delayed Inhibition, Journal of Computational Neuroscience, Vol. 37, pp. 387-401 (December 2014). [doi]
- Mainak Patel and Badal Joshi. Switching mechanisms and bout times in a pair of reciprocally inhibitory neurons, Journal of Computational Neuroscience, Vol. 36, pp. 177-191 (February 2014). [doi]
- Mainak Patel and Badal Joshi. Decoding synchronized oscillations within the brain: phase-delayed inhibition provides a robust mechanism for creating a sharp synchrony filter, Journal of Theoretical Biology, Vol. 334, pp. 13-25 (October 2013). [doi]
- Badal Joshi and Mainak Patel. Encoding with synchrony: phase-delayed inhibition allows for reliable and specific stimulus detection, Journal of Theoretical Biology, Vol. 328, pp. 26-32 (July 2013). [doi]
- Badal Joshi. Complete characterization by multistationarity of fully open networks with one non-flow reaction, Applied Mathematics and Computation, Vol. 219, Iss. 12, pp. 6931-6945 (February 2013). [doi] [arXiv]
- Badal Joshi and Anne Shiu. Atoms of multistationarity in chemical reaction networks, Journal of Mathematical Chemistry, Vol. 51, No. 1, pp. 153-178 (2013). [doi] [arXiv]
- Badal Joshi and Anne Shiu. Simplifying the Jacobian criterion for precluding multistationarity in chemical reaction networks, SIAM Journal on Applied Mathematics, Vol. 72, No. 3, pp. 857-876 (2012). [doi] [arXiv]
- Badal Joshi. Order of magnitude time-reversible Markov chains and characterization of clustering processes (2011). [arXiv]
- Badal Joshi. A doubly stochastic Poisson process for wake-sleep cycling, Ph.D. Dissertation, The Ohio State University (2009).
- Andrew Gall, Badal Joshi, Janet Best, Virginia R. Florang, Jonathan A. Doorn, and Mark Blumberg. Developmental emergence of power-law wake behavior depends upon the functional integrity of the Locus Coeruleus, Sleep, Vol. 32, No. 7 (2009). [doi]
- Badal Joshi, Xueying Wang, Sayanti Banerjee, Haiyan Tian, Anastasios Matzavinos, and Mark A.J. Chaplain. On immunotherapies and cancer vaccination protocols: A mathematical modelling approach, Journal of Theoretical Biology, Vol. 259, No. 4, pp. 820-827 (August 2009). [doi]