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• Shigeko K. Chan Distinguished Professor in Mathematical Sciences - UTEP (01/01/2012-12/31/2012)
• College Of Arts & Siences Faculty Outstanding Achievement Award in Research, Teaching and Service - New Mexico State University. (01/01/2008-12/31/2008)
• Nominated By The Department Of Mathematical Science For The Patricia ChristmoreFaculty Teaching Award (01/01/2004-12/31/2004)
• Scientific Production Award - University Of Buenos Aires (01/01/1996-12/31/1996)
• Scientific Production Award - University Of Buenos Aires (01/01/1995-12/31/1995)
• Best Phd Dissertation Award - Faculty Of Physical And Natural Sciences, University Of Buenos Aires. (01/01/1994-12/31/1994)
• Best Phd Dissertation Award - Faculty Of Physical And Natural Sciences, University Of Buenos Aires. (01/01/1994-12/31/1994)
• Scientific Production Award - University Of Buenos Aires (01/01/1994-12/31/1994)
• Best Phd Dissertation Award - Faculty Of Physical And Natural Sciences, University Of Buenos Aires. (01/01/1993-12/31/1993)
• Scientific Production Award - University Of Buenos Aires (01/01/1993-12/31/1993)
• Best Phd Dissertation Award - Faculty Of Physical And Natural Sciences, University Of Buenos Aires (01/01/1992-12/31/1992)
• Best Phd Dissertation Award - Faculty Of Physical And Natural Sciences, University Of Buenos Aires. (01/01/1992-12/31/1992)
• Best Phd Dissertation Award - Faculty Of Physical And Natural Sciences, University Of Buenos Aires. (01/01/1991-12/31/1991)
• Best Phd Dissertation Award - Faculty Of Physical And Natural Sciences, University Of Buenos Aires. (01/01/1990-12/31/1990)

• MS in Physics, Univ. of Buenos Aires (1995)
• Ph D in Mathematical Science, Univ. of Buenos Aires (1992)
• MS in Mathematics, Univ. of Buenos Aires (1987)

• Multifractal Analysis of the Southern Oscillation Index   Journal of Atmospheric and Solar-Terrestrial Physics 30 09 (2023), Sebastian Jaroszewicz, Maria C. Mariani, Osei Tweneboah, Maria P. Beccar Varela.
• Multifractal Analysis of the Southern Oscillation Index   Journal of Atmospheric and Solar-Terrestrial Physics 30 09 (2023), Sebastian Jaroszewicz, Maria C. Mariani, Osei Tweneboah, Maria P. Beccar Varela.
• A Methodology to Transform Non-image Data to Image for Convolutional Neural Network Architecture 2023 Hawaii University International Conferences (2023), Maria C. Mariani, Prince Appiah, Osei K. Tweneboah.
• Machine Learning Methodologies with Applications to Medical Diagnosis 2023 Hawaii University International Conferences (2023), Maria C. Mariani, Jazmin Quezada, Osei K. Tweneboah.
• Classification of financial events and its effects on other financial data Axioms 12 4 (2023), Maria C. Mariani, Osei Tweneboah, Masum Bhuiyan, Maria P. Beccar-Varela, Ionut Florescu.
• Classification of financial events and its effects on other financial data Axioms 12 4 (2023), Maria C. Mariani, Osei Tweneboah, Masum Bhuiyan, Maria P. Beccar-Varela, Ionut Florescu.
• Determining the Background Driving Process of the Ornstein-Uhlenbeck Model. Electronic J. Diff. Eqns. EJDE Special Issue 02 (2023), Maria C. Mariani, Peter K. Asante, William Kubin, Osei K. Tweneboah, Maria P. Beccar-Varela.
• Determining the Background Driving Process of the Ornstein-Uhlenbeck Model. Electronic J. Diff. Eqns. EJDE Special Issue 02 (2023), Maria C. Mariani, Peter K. Asante, William Kubin, Osei K. Tweneboah, Maria P. Beccar-Varela.
• Scaling detection in extrachromosomal DNA Fractals 30 09 (2022), Sebastian Jaroszewicz, Maria C. Mariani, Osei Tweneboah, Maria P. Beccar Varela.
• Analysis of simulated stationary processes using the CDFA 2022 Hawaii University International Conferences (2022), Maria C. Mariani, William Kubin, Peter K. Asante, Joe Guthrie, Osei K. Tweneboah.
• Solving Higher Order Differential Equations: An Integrating factor approach and generalized solutions to Self-adjoint Differential Equations 2022 Hawaii University International Conference (2022), Maria P. Beccar-Varela, Peter K. Asante, William Kubin, Maria C. Mariani, Osei K. Tweneboah, Michael Roberts, Md Al Masum Bhuiyan, Julien Esquivel.
• Analysis of simulated stationary processes using the CDFA 2022 Hawaii University International Conferences (2022), Maria C. Mariani, William Kubin, Peter Asante, Joe A. Guthrie, Osei K. Tweneboah.
• A 3-Dimensional Superposed Ornstein-Uhlenbeck Model Applied to Financial Stock Markets RMS: Research in Mathematics & Statistics, Taylor & Francis 9:1 (2022), Maria C. Mariani, Peter Asante, William Kubin, Osei Tweneboah.
• Data Analysis Using a Coupled System of Ornstein–Uhlenbeck Equations Driven by Lévy Processes Axioms 11(4) (2022), Maria C. Mariani, Peter Asante, William Kubin, Osei K. Tweneboah.
• Solving Higher Order Differential Equations: An Integrating factor approach and generalized solutions to Self-adjoint Differential Equations 2022 Hawaii University International Conference (2022), Maria P. Beccar-Varela, Peter K. Asante, William Kubin, Maria C. Mariani, Osei K. Tweneboah, Michael Roberts, Md Al Masum Bhuiyan, Julien Esquivel.
• Time series classification using deep learning models 2022 Hawaii University International Conferences (2022), Maria C. Mariani, James Arthur, Osei K. Tweneboah.
• Relationship between Continuum of Hurst Exponents of Noise-like Time Series and the Cantor Set Entropy (2021), Maria C. Mariani, William Kubin, Peter Asante, Joe Guthrie, Osei K. Tweneboah.
• Data Science in Theory and Practice: Techniques for Big Data Analytics and Complex Data Sets Wiley (2021), Maria C. Mariani, Osei K. Tweneboah, Maria P. Beccar-Varela.
• Modeling high frequency stock market data by using stochastic models Stochastic Analysis and Applications (2021), Maria C. Mariani, Osei K. Tweneboah.
• Analyzing Medical Data by using Machine Learning Models Mathematics (2021), Maria C. Mariani, Francis Biney, Osei K. Tweneboah.
• Multifractal Analysis of Daily US covid-19 cases 2021 Hawaii University International Conferences (2021), Maria C. Mariani, William Kubin, Peter K. Asante, Osei K. Tweneboah, Maria P. Beccar Varela.
• Multifractal Analysis of Daily US covid-19 cases Proceedings - 2021 Hawaii University International Conferences (2021), Maria C. Mariani, William Kubin, Peter Asante, Osei Tweneboah, Maria P. Beccar-Varela.
• Solving Third Order Ordinary Differential Equations by using Ricatti Equations 2021 Hawaii University International Conference (2021), Maria P. Beccar-Varela, Md Al Masum Bhuiyan, Maria C. Mariani, Osei K. Tweneboah.
• Solving Third Order Ordinary Differential Equations by using Ricatti Equations Proceedings; 2021 Hawaii University International Conferences (2021), Maria P. Beccar-Varela, Masum Bhuiyan, Maria C. Mariani, Osei Tweneboah, Peter Asante.
• Long memory effects and forecasting of earthquake and volcano seismic data Physica A 559 1 (2020), Maria C. Mariani, Md Al Masum Bhuiyan, Osei K. Tweneboah, Hector Gonzalez-Huizar.
• Long-Range Correlations and Characterization of Financial and Volcanic Time Series Mathematics (2020), Maria C. Mariani, Peter Asante, Maria P. Beccar-Varela, Sebastian Jaroszewicz, Osei K. Tweneboah.
• Self-similar models: Relationship between the diffusion entropy analysis, detrended fluctuation analysis and Levy models Mathematics 8 7 (2020), Maria C. Mariani, William Kubin, Peter Asante, Osei Tweneboah, Hector Gonzalez-Huizar.
• Self-similar models: Relationship between the diffusion entropy analysis, detrended fluctuation analysis and Levy models Mathematics 8 7 (2020), Maria C. Mariani, William Kubin, Peter Asante, Osei Tweneboah, Maria P. Beccar-Varela, Sebastian Jaroszewicz, Hector Gonzalez-Huizar.
• Supervised Machine Learning models applied to Disease Diagnosis and Prognosis AIMS Public Health (2020), Maria C. Mariani, Masum Bhuiyan, Osei Tweneboah.
• Analysis of Stock market data by using Dynamic Fourier and Wavelets techniques Physica A (2020), Maria C. Mariani, Masum Bhuiyan, Osei K. Tweneboah, Maria P. Beccar-Varela, Ionut Florescu.
• Analytic Methods for Solving Higher Order Ordinary Differential Equations Mathematics 7 9 (2019), Maria P. Beccar-Varela, Masum Bhuiyan, Maria C. Mariani, Osei Tweneboah.
• Analytic Methods for Solving Higher Order Ordinary Differential Equations Mathematics 7 9 (2019), Maria P. Beccar-Varela, Al Masum Bhuiyan, Maria C. Mariani, Osei K. Tweneboah.
• Analytic Solutions for Third Order Ordinary Differential Equations 2019 Hawaii University International Conference (2019), Maria P. Beccar-Varela, Masum Bhuiyan, Maria C. Mariani, Osei Tweneboah.
• Complex Gleason measures and the Nemytsky operator Annales Mathematicae Silesianae (2019), Maria C. Mariani, Osei K. Tweneboah, Miguel Valles-Rosales, Pavel Bezdek.
• Levy Flights and Wavelets Analysis of Volcano-Seismic Data Pure and Applied Geophysics, Springer Nature 170 10 (2019), Maria P. Beccar Varela, Hector Gonzalez-Huizar, Maria C. Mariani, Osei K. Tweneboah.
• Levy Flights and Wavelets Analysis of Volcano-Seismic Data Pure and Applied Geophysics, Springer Nature 170 10 (2019), Maria P. Beccar-Varela, Hector Gonzalez-Huizar, Maria C. Mariani, Osei Tweneboah.
• Quantitative Finance Wiley (2019), Maria C. Mariani, Ionut Florescu.
• Statistical Data Mining Algorithms for the Prognosis of Diabetes and Autism 2019 Hawaii University International Conference (2019), Maria C. Mariani, Masum Bhuiyan, Osei Tweneboah.

• Harnessing Machine Learning and Meta-Learning for Enhanced Medical Diagnosis (2024), Volume NMSU, Jazmin Quezada, Maria C. Mariani.
• Quantitative Stock Market Modeling Using Multivariate Geometric Random Walk (2024), Volume Baylor University, Michael Pokojovy, Andrews T. Anum, Obed Amo, Maria C. Mariani, Michael Orosz.
• A Methodology to Transform Non-Image Data into Image for Convolutional Neural Network Architecture (2023), Volume The University of Texas at El Paso, Maria C. Mariani, Prince Appiah, Osei Tweneboah.
• Integrating Machine Learning and Optimization Methods for Medical Diagnosis (2023), Volume The University of Texas at El Paso, Maria C. Mariani, Jazmin Quezada, Osei Tweneboah.
• Integrating Wavelet Neural Networks to Enhance Stock Market Forecasting in Emerging Markets. (2023), Volume The University of Texas at El Paso, Maria C. Mariani, Kwesi Ohene-Obeng, Osei Tweneboah.
• Solutions to higher order ODEs by using integrating factor techniques (2023), Volume The University of Texas at El Paso, Ricardo Isaac, Maria P. Beccar-Varela, Maria C. Mariani.
• Solutions to higher order ODEs by using integrating factor techniques (2023), Volume The University of Texas at El Paso, Ricardo Isaac, Maria P. Beccar-Varela, Maria C. Mariani.
• A Methodology to Transform Non-image Data to Image for Convolutional Neural Network Architecture. (2023), Maria C. Mariani, Prince Appiah, Osei K. Tweneboah.
• Machine Learning Methodologies with Applications to Medical Diagnosis. (2023), Maria C. Mariani, Jazmin Quezada, Osei K. Tweneboah.
• An Integrating Factor Approach and Generalized Solutions to Self-Adjoint Differential Equations (2023), Volume Colorado, Julien Esquivel, Maria P. Beccar-Varela, Maria C. Mariani.
• An Integrating Factor Approach and Generalized Solutions to Self-Adjoint Differential Equations (2023), Volume Colorado, Julien Esquivel, Maria P. Beccar-Varela, Maria C. Mariani.
• 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.
• Optimized Machine Learning Methodologies with Applications to Medical Diagnosis (2022), Volume The University of Texas at El Paso, Jazmin Quezada, Maria C. Mariani, Osei K. Tweneboah.
• Two machine learning models for prostate cancer screening using urinary volatile organic compounds (2022), Volume The University of Texas at El Paso, Peter K. Asante, Pablo Pablo Bustamante-Murguia, 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.
• Scaling behaviors in extrachromosomal DNA (2022), Volume AMS Central fall sectional Meeting , Maria P. Beccar-Varela, Sebastian Jaroszewicz, Maria C. Mariani, Osei Tweneboah.
• Classical, Machine learning and Deep learning approaches to forecast brent oil price with and without inflation rate covariate effect. (2022), Volume The University of Texas at El Paso, Md Shamsul Alam, Maria C. Mariani.
• Daily COVID-19 Cases In The US Before and After November 2020: A Multifractal Perspective (2022), Volume The University of Texas at El Paso, Peter K. Asante, Maria P. Beccar Varela, William Kubin, Maria C. Mariani, Osei Tweneboah.
• Machine learning models for prostate cancer screening using urinary volatile organic compounds (2022), Volume The University of Texas at El Paso, Peter K. Asante, Pablo Pablo Bustamante-Murguia, Wen-Yee Lee, Maria C. Mariani, Michael Orosz, Michael Pokojovy.
• Modeling High Frequency Oil price Data using Boosting Machine Learning Algorithms (2022), Volume The University of Texas at El Paso, Md Shamsul Alam, Masum Bhuiyan, Maria C. Mariani.
• Scaling behaviors in extrachromosomal DNA (2022), Volume The University of Texas at El Paso, Maria P. Beccar Varela, Sebastian Jaroszewicz, Maria C. Mariani, Osei Tweneboah.
• Solving Higher Order Differential Equations: An Integrating factor approach and generalized solutions to Self-adjoint Differential Equations (2022), Maria P. Beccar-Varela, Peter K. Asante, William Kubin, Maria C. Mariani, Osei K. Tweneboah, Michael Roberts, Masum Bhuiyan, Julien Esquivel.
• Solving Higher Order Differential Equations: An Integrating factor approach and generalized solutions to Self-adjoint Differential Equations (2022), Volume Honolulu, Hawaii, Maria P. Beccar-Varela, Peter Asante, William Kubin, Maria C. Mariani, Osei Tweneboah, Michael Roberts, Masum Bhuiyan, Julien Esquivel.
• Bio-medical Signals: Cantor Detrended Fluctuation Analysis (2022), William Kubin, Maria C. Mariani, Peter Asante, Joe Guthrie, Osei Tweneboah.
• Modeling Volcanic and Earthquake Data With A 3-Component Superposed Ornstein-Uhlenbeck SDE driven by a Lévy process (2022), Peter Asante, Maria C. Mariani, William Kubin, Osei Tweneboah.
• Analysis of simulated stationary processes using the CDFA (2022), Maria C. Mariani, William Kubin, Peter Asante, Joe Guthrie, Osei K. Tweneboah.
• Time series classification using deep learning models (2022), Maria C. Mariani, James Arthur, Osei K. Tweneboah.
• Cantor Detrended Fluctuation Analysis (CDFA) (2021), William Kubin, Maria C. Mariani, Peter Asante, Joe Guthrie, Osei Tweneboah.
• Modeling US Stock Market Data With A Superposed Ornstein-Uhlenbeck SDE driven by a Levy process (2021), Peter Asante, Maria C. Mariani, William Kubin, Osei Tweneboah.
• Deteccion de escalas en ADN extracrosomal (Detection of scales in extrachrosomal DNA) (2021), Sebastian Jaroszewicz, Maria P. Beccar-Varela, Osei Tweneboah, Maria C. Mariani.
• Análisis multifractal de los casos diarios de COVID-19 en Argentina (Multifractal analysis of daily COVID-19 cases in Argentina) (2021), Maria C. Mariani, Sebastian Jaroszewicz, Maria Beccar Varela, Osei Tweneboah.
• Deteccion de escalas en ADN extracrosomal (Detection of scales in extrachrosomal DNA) (2021), Sebastian Jaroszewicz, Maria C. Mariani, Maria Beccar Varela, Osei Tweneboah.
• Multifractal Study of Mobility in Argentina During the Pandemic (2021), Volume Trieste , Italy, Sebastian Jaroszewicz, Maria P. Beccar Varela, Osei Tweneboah, Maria C. Mariani.
• Daily COVID-19 Cases in Ghana Before and After Dec 7, 2020 Elections: A Multifractal Perspective. (2021), William Kubin, Maria C. Mariani, Peter Asante, Osei Tweneboah.
• Modeling US-stock markets using a superposed Ornstein-Uhlenbeck SDE driven by a Levy process (2021), Maria C. Mariani, Peter Asante, William Kubin, Osei Tweneboah.
• Solving Third Order Ordinary Differential Equations by using Ricatti Equations (2021), Volume Honolulu, Hawaii, Maria P. Beccar-Varela, Masum Bhuiyan, Maria C. Mariani, Osei Tweneboah, Peter Asante.
• Multifractal Analysis of Daily US covid-19 cases (2021), Maria C. Mariani, W. Kubin, Peter Asante, Osei K. Tweneboah, Maria P. Beccar-Varela.
• Solving Third Order Ordinary Differential Equations by using Ricatti Equations (2021), Maria P. Beccar-Varela, M. A. Bhuiyan, Maria C. Mariani, Osei K. Tweneboah, Peter K. Asante.
• Analyzing the effects of missing data in time series with machine learning techniques second report (2020), Jazmin Quezada, Maria C. Mariani.
• High frequency study of EL Niño Southern Oscillation index (2020), Sebastian Jaroszewicz, Maria C. Mariani, Maria P. Beccar-Varela, Osei Tweneboah.
• Analysis of High Frequency Financial Data using Dynamic Fourier Models (2020), Masum Bhuiyan, Maria C. Mariani, Maria P. Beccar-Varela, Ionut Florescu.
• Comparing predictive performance of statistical learning models on medical data (2020), Francis Biney, Maria C. Mariani, Osei Tweneboah.
• Analysis of High Frequency Financial Data using Dynamic Fourier Models (2020), Md Al Masum Bhuiyan, Maria C. Mariani, Maria P. Beccar-Varela.
• Findings from a Pre-Calculus Intervention to Shift Pre-Calculus to a Gateway Course (2020), Elsa Y. Villa, Maria C. Mariani, Erika L. Mein, Christina Convertino, Nada F. Al-Hanna.
• High frequency study of EL Niño Southern Oscillation index (2020), Maria C. Mariani, Sebastian Jaroszewicz, Osei Tweneboah , Maria P. Beccar-Varela.
• Modeling earthquake series dependencies by using coupled system of stochastic differential equations (2020), Osei K. Tweneboah , Maria C. Mariani.
• Quantitative stock market modeling using multivariate geometric random walk (2020), Michael Orosz, Michael Pokojovy, Maria C. Mariani.
• Relationship between Self-Similar Models and The Lévy Model (2020), William Kubin, Maria C. Mariani, Peter K. Asante , Osei K. Tweneboah.
• Superposed Inverse-Gaussian (IG(a,b)) Ornstein-Uhlenbeck model applied to geophysics and financial data (2020), Peter K. Asante, Maria C. Mariani, William Kubin , Osei Tweneboah.
• Using Machine Learning for the prognosis and diagnosis of an Imbalanced Cancer dataset (2020), James Arthur, Maria C. Mariani, Osei Tweneboah.
• Quantitative stock market modeling using multivariate geometric random walk (2020), Michael Orosz, Michael Pokojovy, Maria C. Mariani.
• Long-Range Correlations and Characterizations of Financial and Volcanic Time Series (2019), Volume El Paso, TX, Peter K. Asante, Maria C. Mariani, Osei K. Tweneboah.
• Self-similar models: How close the Diffusion Entropy Analysis and Detrended Fluctuation Analysis are from other models (2019), Volume El Paso, TX, William Kubin, Peter K. Asante, Maria C. Mariani, Osei K. Tweneboah.
• Analyzing the effects of missing data in time series with machine learning techniques (2019), Volume Washington, D.C., Jazmin Quezada, Maria C. Mariani, Claire McKay Bowen, Joanne Wendelberger.
• Analysis of High Frequency Financial Data Using Dynamic Fourier Models (2019), Volume Hoboken, NJ, USA, Maria C. Mariani, Md Al Masum Bhuiyan, Osei K. Tweneboah, I Florescu.
• Classification Techniques applied to the study of high frequency data arising in finance and geophysics (2019), Volume Hoboken, NJ, USA, Maria P. Beccar-Varela, Maria C. Mariani, Md Al Masum Bhuiyan, Ionut Florescu, Osei K. Tweneboah.
• Machine Learning Techniques applied to Financial Data from Developed-Emergent Markets and the Lehman Brothers Collapse (2019), Volume Hoboken, NJ, USA, Maria C. Mariani, Osei K. Tweneboah, Ionut Florescu.
• Analytic Solutions for Third Order Ordinary Differential Equations (2019), Volume Honolulu, Hawaii, Osei K. Tweneboah, Maria P. Beccar-Varela, Al Masum Bhuiyan, Maria C. Mariani.
• Statistical Data Mining Algorithms for the Prognosis of Diabetes and Autism (2019), Volume Honolulu, Hawaii, Maria C. Mariani, Md Al Masum Bhuiyan, Osei K. Tweneboah.
• The Application of Stochastic Differential Equation to modeling high frequency financial data and other seismic data (2019), Volume Hawaii, Md Al Masum Bhuiyan, Maria C. Mariani, Osei K. Tweneboah.

• Developing Evidence-Based Learning Environment for Success in STEM (DEBLES): Increasing the Retention of Minorities and Women - Collaborative research with TAMUCC
• GET PHIT Gaining Equity in Training for Public Health Informatics and Technology - Subcontract
• Utilizing Machine Learning for Prostate Cancer Diagnosis in Hispanic Patients
• DEVELOPING EVIDENCE-BASED LEARNING ENVIRONMENT FOR SUCCESS IN STEM (DEBLES): INCREASING THE RETENTION OF MINORITIES AND WOMEN
• Building Research Capacity Building at UTEP
• Developing Evidence-Based Learning Communities in STEM Gateway Courses: Increasing Persistence and Timely Completion of STEM