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• Ph D in Mathematics , University of Konstanz (2011)

• Detecting selected non-random patterns with individuals control charts Journal of Statistical Computation and Simulation 91 17 (2021), J. M. Jobe, Michael Pokojovy.
• 2021-R Computer Program for Analysis of Albendazole github.com (2021), Paul Goldstein, Michael Pokojovy.
• Univariate statistical process control with taut strings Journal of Applied Statistics (2021), Michael Pokojovy, J. M. Jobe.
• The taut string approach to statistical inverse problems: Theory and applications Journal of Computational and Applied Mathematics 382 (2021), Sangjin Kim, Michael Pokojovy, Xiang Wan.
• Applying Heath-Jarrow-Morton model to forecasting the US Treasury daily yield curve rates MDPI: Mathematics 9 2 (2021), Valerii Maltsev, Michael Pokojovy.
• Boundary stabilization of quasilinear Maxwell equations Journal of Differential Equations 268 2 (2020), Michael Pokojovy, Roland Schnaubelt.
• On a Kelvin-Voigt viscoelastic wave equation with strong delay SIAM Journal on Mathematical Analysis 51 6 (2019), Andrii Anikushyn, Anna Demchenko, Michael Pokojovy.
• Exponential decay of quasilinear Maxwell equations with interior conductivity Nonlinear Differential Equations and Applications 26 51 (2019), Irena Lasiecka, Michael Pokojovy, Roland Schnaubelt.
• Long-time behavior of quasilinear thermoelastic Kirchhoff-Love plates with second sound Nonlinear Analysis 186 (2019), Irena Lasiecka, Michael Pokojovy, Xiang Wan.
• Global well-posedness and exponential stability for heterogeneous anisotropic Maxwell's equations under a nonlinear boundary feedback with delay Journal of Mathematical Analysis and Applications 475 1 (2019), Andrii Anikushyn, Michael Pokojovy.
• On the performance of variable selection and classification via rank-based classifier Mathematics/MDPI 7 457 (2019), Sangjin Kim, Md Showaib Rahman Sarker, Michael Pokojovy.
• On the Performance of Variable Selection and Classification via Rank-Based Classifier Mathematics/MDPI (2019), Sangjin Kim, Md Showaib Rahman Sarker, Michael Pokojovy.
• Analysis of an epidemiological model with aftereffect Bulletin of Taras Shevchenko National University of Kyiv. Cybernetics 1 17 (2017), Denys Y. Khusainov, Andriy V. Shatyrko, Michael Pokojovy.
• Global existence and stability for a nonlinear thermoelastic plate Nonlinear Analysis Series B: Real World Applications 38 (2017), I. Lasiecka, Michael Pokojovy, X. Wan..
• Modern and classical k-sample omnibus tests Wiley Interdisciplinary Reviews: Computational Statistics e1418 (2017), S. Chen, Michael Pokojovy.
• Multidimensional thermoelasticity for nonsimple materials - Well-posedness and long-time behavior Applicable Analysis 96 9 (2017), A. Anikushyn, Michael Pokojovy.
• On a quasilinear PDE model of population dynamics with random parameters MITAV 2017 Proceedings, Brno (Czech Republic) (2017), I. Dzhalladova, Michael Pokojovy.

• Simultaneous Forecasting of Yield Curves for Multiple Zero-Coupon Bonds Using the Heath-Jarrow-Morton Model (2021), Volume El Paso, TX, Ebenezer Nkum, Michael Pokojovy, Thomas M. Fullerton, Xianyi Zeng.
• Maximum Likelihood Estimation for Discretely Observed Multivariate Vasicek Processes (2021), Volume Haverford, PA, Michael Pokojovy, Ebenezer Nkum, Thomas M. Fullerton.
• Simultaneous Forecasting of Yield Curves for Multiple Zero-Coupon Bonds Using the Heath-Jarrow-Morton Model (2021), Volume Jekyll Island, GA, Ebenezer Nkum, Michael Pokojovy, Thomas M. Fullerton, Xianyi Zeng.
• Robust Methodologies for High-Dimensional Data Analysis (2020), Michael Pokojovy, Anum Andrews, Honglun Xu.
• Quantitative stock market modeling using multivariate geometric random walk (2020), Michael Orosz, Michael Pokojovy, Maria C. Mariani.
• Quantitative stock market modeling using multivariate geometric random walk (2020), Michael Orosz, Michael Pokojovy, Maria C. Mariani.
• Long-time behavior of quasilinear thermoelastic Kirchhoff–Love plates with second sound (2019), Volume Konstanz, Germany, Michael Pokojovy.
• On the performance of variable selection and classification via rank-based classifier (2019), Volume El Paso, TX, Md Showaib Rahman Sarker, Sangjin Kim, Michael Pokojovy.
• Global well-posedness and exponential stability for heterogeneous anisotropic Maxwell's equations under a nonlinear boundary feedback with delay (2018), Volume Detroit, MI, Michael Pokojovy.
• A cluster-based outlier detection scheme for multivariate data (2018), Volume Memphis, TN, Michael Pokojovy.
• A nonparametric density-based k-sample omnibus test (2018), Volume El Paso, TX, Michael Pokojovy.
• Global well-posedness and exponential stability for heterogeneous anisotropic Maxwell's equations under a nonlinear boundary feedback with delay (2018), Volume El Paso, TX, Andrii Anikushyn, Michael Pokojovy.
• Useful skills in industry and academia (2018), Volume El Paso, TX, Michael Pokojovy.
• A cluster-based outlier detection scheme for multivariate data (2018), Volume Detroit, MI, Michael Pokojovy.
• The taut string estimator: Weak convergence and confidence bands (2017), Volume El Paso, TX, Michael Pokojovy, J. M. Jobe.
• On the global well-posedness and stability of nonlinear thermo-elastic plate equations with Fourier or Maxwell-Cattaneo laws (2017), Volume Charleston, SC, Irena Lasiecka, Michael Pokojovy, Xiang Wan.
• Multidimensional thermoelasticity for nonsimple materials - Well-posedness and long-time behavior (2017), Volume Charleston, SC, Andrii Anikushyn, Michael Pokojovy.
• The taut string estimator: Weak convergence and confidence bands (2017), Volume Charleston, SC, Michael Pokojovy, J. M. Jobe.
• A cluster-based outlier detection scheme for multivariate data (2017), Volume Kingston, RI, Michael Pokojovy.
• A cluster-based outlier detection scheme for multivariate data (2017), Volume Fairfax, VA, Michael Pokojovy.
• On a quasilinear PDE model of population dynamics with random parameters (2017), Volume Brno, Czech Republic, Michael Pokojovy, Irada Dzhalladova.
• A cluster-based outlier detection scheme for multivariate data (2017), Volume Leeds, UK, Michael Pokojovy.
• New research directions in Data Science and Statistics (2017), Volume El Paso, TX, Michael Pokojovy.
• New and improved methodology for quality assurance (2017), Volume Ladenburg, Germany, Michael Pokojovy.

• Developing Modeling and Simulation based Engineering Learning Environment for Capacity Transformation (M-SELECT) in Higher Education
• ACUE Course on Effective Teaching Practices
• Utilizing Machine Learning for Prostate Cancer Diagnosis in Hispanic Patients