小林久志 (計算機科学者)
リーマン仮説(The Riemann hypothesis)、コロナウィルス伝染確率モデル、その他

リーマン仮説に関しても積極的に研究を継続し、自身のホームページ等で成果を公開している。
H. Kobayashi, “Towards a proof of the Riemann Hypothesis (RH): No.1. Euler’s zeta function,” posted on hp.hisashikobayashi.com, November 16, 2015.
H. Kobayashi, “No. 2. Riemann’s Zeta Function ς(s) and the Riemann Hypothesis,” posted on hp.hisashikobayashi.com, December 5, 2015.
H. Kobayashi, “No. 3. Riemann’s xi ξ(s) Function and Its product form representation,” posted on hp.hisashikobayashi.com, December 11, 2015.
H. Kobayashi, “No. 4: Fourier Transform Representation of the Function ξ(s),” posted on hp.hisashikobayashi.com, December 12, 2015.
H. Kobayashi, “No.5. Some results on the ξ(s) and Ξ(t) functions associated with Riemann’s ς(s) function,” posted on hp.hisashikobayashi.com, January 11, 2016. Also published on Arxiv.org https://archive.org/details/arxiv-1603.02954 on March 4, 2016.
H. Kobayashi, “No.6. Local Extrema of the Ξ(t) Function and the Riemann Hypothesis,” posted on hp.hisashikobayashi.com, March 29, 2016. Also published on Arxiv.org. https://arxiv.org/abs/1603.02911 March 5, 2016.
H. Kobayashi, “No. 7. The Z(t) function, Gram’s Law, Riemann-von Mangoldt Formula and Lehmer’s Phenomenon,” posted on hp.hisashikobayashi.com, July 14, 2016.
H. Kobayashi, “No. 8. Negativity of d2 /dt2 log Ξ(t) and a conjecture on a sufficient condition for the Riemann hypothesis,” posted on hp.hisashikobayashi.com, December 12, 2016.
H. Kobayashi, “No. 9. Application of the Euler-Maclaurin summation to the log differentials of M(t)=|ς(0.5+it)|,” posted on hp.hisashikobayashi.com, December 21, 2016.
その他、最近のコロナウィルス伝染に関し、確率過程の立場から新しいモデルを提唱し、解析の成果を発表している。リサーチモノグラフを執筆中。
H. Kobayashi, “Stochastic Modeling of an Infectious Disease, Part I: Understand the Negative Binomial Distribution and Predict an Epidemic More Reliably,” June 2, 2020.   https://arxiv.org/abs/2006.01586
H. Kobayashi, “Keynote Speech: Stochastic Modeling of an Infectious Disease,” ITC 32, September 23, 2020, https://www.youtube.com/watch?v=kn3EiQsvkps
H. Kobayashi, “Stochastic Modeling of an Infectious Disease,  Part II: Simulation Experiments and Verification of the Analysis,”  January 26, 2021.     https://arxiv.org/abs/2101.11394
H. Kobayashi, “Stochastic Modeling of an Infectious Disease,  Part III-A: Analysis of Time-Nonhomogeneous Models,” January 22, 2021.     https://arxiv.org/abs/2101.09109
H. Kobayashi, “Stochastic Modeling of an Infectious Disease,  Part III-B: Analysis of the Time-Nonhomogeneous BDI Process and Simulation Experiments of both BD and BDI Processes,” March 31, 2021. https://arxiv.org/abs/2104.00529
H. Kobayashi, “Stochastic Modeling of an Infectious Disease,  Part IV: Further Results on the BDI Process Model and Analysis of Multiple Types (Variants) of Corona-Virus,” August 27, 2021. https://hp.hisashikobayashi.com/stochastic-modeling-of-an-infectious-disease-part-iv-further-results-on-the-bdi-process-model-and-analysis-of-multiple-types-variants-of-corona-virus/
H. Kobayashi, “A probabilistic Model of an Infectious Disease, based on the BDI Process, and Maximum-Likelihood Estimation of the Model Parameters,” Presented at a joint conference “OR in Health Care” and “Dynamic Decision Models and Applications.” The Operations Research Society of Japan, Sept. 29, 2021. The abstract and slides are posted on https://hp.hisashikobayashi.com/a-probabilistic-model-of-an-infectious-disease-based-on-the-bdi-process-and-maximum-likelihood-estimation-of-the-model-parameters/
H. Kobayashi, “Stochastic Modeling of an Infectious Disease, Part V: Maximum Likelihood Estimation of the BDI (birth-and-death-with-immigration) Process Parameters,” October 1, 2021. https://hp.hisashikobayashi.com/stochastic-modeling-of-an-infectious-disease-part-v-maximum-likelihood-estimation-of-the-bdi-birth-and-death-with-immigration-process-parameters/
クラシック音楽旋律のマルコフモデル：
Kobayashi, "A Markov Chain Interpretation of some Arpeggios in　Beethoven’s Moonlight Sonata, 1st Movement", posted on hp.hisashikobayashi.com, May 20, 2019。