**Bio** # Position held # Bio Dr. Liang Kong’s research bridges differential equations, machine learning, and analog computing. He teaches mathematics, statistics, and data analytics at both undergraduate and graduate levels and is strongly committed to student mentorship. His dedication to engaging students in research has been recognized through teaching grants and the Faculty Mentor Award. Dr. Kong has received multiple research awards and external grants, including funding support from regional industry partners. He is the co-founder and director of an interdisciplinary research hub at UIS, which serves as a vibrant platform for faculty–faculty and faculty–student collaboration.
By the common mathematics/theoretical computer science convention, authors are ordered *alphabetically* by last names. # Conference Publications (Supervised students are underlined.)
  1. Xiang Huang and Rachel Huls . [Computing Real Numbers with Large-Population Protocols Having a Continuum of Equilibria.](https://arxiv.org/abs/2206.06594) The 28th International Conference on DNA Computing and Molecular Programming (DNA 28, Albuquerque, NM, Aug 8-12, 2022).
  2. L. Kong, Y. Guo, S. Siuly, Forecasting the Prevalence of COVID-19 Using Epidemic Differential Equations and Recurrent Neural Network. ()
  3. Xiang Huang, Jack H. Lutz, Elvira Mayordomo, and Donald M. Stull, Asymptotic divergences and strong dichotomy, Proceedings of the Thirty-seventh Symposium on Theoretical Aspects of Computer Science (STACS 2020, Montpellier, France, March 10-13, 2020) [Journal Version](../mypapers/ADSD-TIT.pdf)
  4. Xiang Huang, Jack H. Lutz, and Andrei N. Migunov. [Algorithmic Randomness in Continuous-Time Markov Chains](https://arxiv.org/abs/1910.13620), 2019. In Proceedings of the 57th Annual Allerton Conference on Communication, Control, and Computing.
  5. Xiang Huang, Titus H. Klinge, James I. Lathrop. [Real-Time Equivalence of Chemical Reaction Networks and Analog Computers.](../mypapers/RTCRN2.pdf) In: Thachuk C., Liu Y. (eds) DNA Computing and Molecular Programming. DNA 2019. Lecture Notes in Computer Science, vol 11648. Springer, Cham.
  6. Xiang Huang, Titus H. Klinge, James I. Lathrop, Xiaoyuan Li, and Jack H. Lutz. Real-Time Computability of Real Numbers by Chemical Reaction Networks. In Proceedings of the 16th International Conference on Unconventional Computation and Natural Computation (UCNC), June 2017, pp. 29-40. [Journal Version](../mypapers/RTCRN1.pdf)
  7. Xiang Huang and Donald. M. Stull. [Polynomial Space Randomness in Analysis.](../mypapers/PSRA.pdf) In Proceedings of the 41st International Symposium on Mathematical Foundations of Computer Science (MFCS), August 2016:86:1-86:13.
# PhD Thesis * [Chemical reaction networks: Computability, complexity, and randomness.](https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=9335&context=etd) Iowa State University, 2020.