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

• Investigating the effects of storage conditions on urinary volatilomes for their reliability in disease diagnosis American Journal of Clinical and Experimental Urology 11 6 (2023), Kiana Holbrook, Sabur Badmos, Ahsan Habib, Elizabeth Noriega Landa, George Quaye, Michael Pokojovy, Xiaogang Su, Wen-Yee Lee.
• An interpretable multi-task system for clinically applicable COVID-19 diagnosis using CXR Journal of X-Ray Science and Technology 30 5 (2022), Yan Zhuang, Md Fashiar Rahman, Yuxin Wen, Michael Pokojovy, Peter McCaffrey, Alexander Vo, Eric Walser, Scott Moen, Honglun Xu, Tzu-Liang (Bill) Tseng.
• Time-to-event modeling for hospital length of stay prediction for COVID-19 patients Machine Learning with Applications 9 (2022), Yuxin Wen, Md Fashiar Rahman, Yan Zhuang, Michael Pokojovy, Honglun Xu, Peter McCaffrey, Alexander Vo, Eric M. Walser, Scott Moen, Tzu-Liang (Bill) Tseng.
• A robust deterministic affine-equivariant algorithm for multivariate location and scatter Computational Statistics and Data Analysis 172 (2022), Michael Pokojovy, J. M. Jobe.
• Improving lung region segmentation accuracy in chest X-ray images using a two-model deep learning ensemble approach Journal of Visual Communication and Image Representation 85 (2022), Md Fashiar Rahman, Yan Zhuang, Tzu-Liang (Bill) Tseng, Michael Pokojovy, Peter McCaffrey, Eric Walser, Scott Moen, Alex Vo.
• An interpretable multi-task system for clinically applicable COVID-19 diagnosis using CXR Journal of X-Ray Science and Technology (2022), Yan Zhuang, Md Fashiar Rahman, Yuxin Wen, Michael Pokojovy, Peter McCaffrey, Alexander Vo, Eric Walser, Scott Moen, Honglun Xu, Tzu-Liang (Bill) Tseng.
• Improving Lung Region Segmentation Accuracy in Chest X-Ray Images Using a Two-Model Deep Learning Ensemble Approach Journal of Visual Communication & Image Representation (2022), Md Fashiar Rahman, Yan Zhuang, Tzu-Liang (Bill) Tseng, Michael Pokojovy, Peter McCaffrey, Eric M. Walser, Alexander Vo, Scott Moen.
• 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.
• An automatic approach to lung region segmentation in chest x-ray images using adapted U-Net architecture SPIE (2021), Md Fashiar Rahman, Tzu-Liang (Bill) Tseng, Michael Pokojovy, Wei Qian, Basavarajaiah Totada, Honglun Xu.
• 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.

• Does storage conditions affect the use of urine metabolomics in cancer diagnosis? (2023), Volume El Paso, TX, Kiana Holbrook, Sabur Badmos, Elizabeth Noriega Landa , George E. Quaye, Michael Pokojovy, Xiaogang Su, Wen-Yee Lee.
• Does storage conditions affect the use of urine metabolomics in cancer diagnosis? (2023), Volume San Angelo, Texas, Kiana Holbrook, Sabur Badmos, Elizabeth Noriega Landa , George E. Quaye, Michael Pokojovy, Xiaogang Su, Wen-Yee Lee.
• Engaging in Interdisciplinarity Panel Discussion with Q&A (2022), Volume El Paso, TX, Guillermina Solis, Thenral Mangadu, Taslim Al-Hilal, Michael Pokojovy, Ivonne Santiago.
• Two machine learning models for prostate cancer screening using urinary volatile organic compounds. (2022), Volume El Paso, TX, Peter Asante , Wen-Yee Lee, Maria C. Mariani, Michael Orosz, Michael Pokojovy.
• Machine learning models for prostate cancer screening using urinary volatile organic compounds (2022), Volume El Paso, TX, Peter Asante , Wen-Yee Lee, Maria C. Mariani, Michael Orosz, Michael Pokojovy.
• A new algorithm for robust affine-invariant clustering (2022), Michael Pokojovy, Andrews T. Anum.
• Maximum likelihood estimation for discretely observed multivariate Vasicek processes (2022), Michael Pokojovy, Ebenezer Nkum, Thomas M. Fullerton.
• A fast initial response approach to sequential financial surveillance (2022), Michael Pokojovy, Andrews T. Anum.
• 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.

• Improving Student Engagement and Training in Healthcare Engineering
• NSF DMS: Nonparametric Total Variation Regression for Multivariate Process Data
• 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