Assistant Professor of Data Science

Year Joined RCNJ: 2020

Contact Information

• Phone: (201) 684-7332
• Email: otwenebo@ramapo.edu
• Office: ASB411
• Office Hours: In-person or Virtual. Thur. 11am-1pm; Fri. 10am-11am or by Appointment

Education:
B.S., Kwame Nkrumah University of Science and Technology,
Kumasi, Ghana
M.S., University of Texas at El Paso
Ph.D., University of Texas at El Paso

Courses Offered:
Applied Statistics
Data Analytics in Python
Data Analysis and Visualization
Data Science Fieldwork I
Data Science Thesis
Introduction to Data Science
Statistics
Machine Learning

Research Interests:
Data Science
Machine Learning
Stochastic Analysis
Financial Mathematics
Differential Equations

Recent Publications:

1. M.C. Mariani, P.K. Asante, W. Kubin, and O.K. Tweneboah, “Data Analysis Using a Coupled System of Ornstein–Uhlenbeck Equations Driven by Lévy Processes,” Axioms, 11(4):160, 2022.
2. M.C. Mariani, P.K. Asante, O.K. Tweneboah, and W. Kubin, “A 3-component superposed Ornstein-Uhlenbeck model applied to financial stock markets,” Research in Mathematics, 9(1), 2022.
3. M.C. Mariani, O.K. Tweneboah and M.P. Beccar-Varela, Data Science in Theory and Practice: Techniques for Big Data Analytics and Complex Data Sets, John Wiley & Sons, September 2021.
4. M.C. Mariani, W. Kubin, P.K. Asante, J.A. Guthrie, and O.K. Tweneboah, “Relationship between Continuum of Hurst Exponents of Noise-like Time Series and the Cantor set,” Entropy, 23(11): 1505, 2021.
5. M.C. Mariani and O.K. Tweneboah, “Modeling high-frequency stock market data by using stochastic models,” Stochastic Analysis and Applications, https://doi.org/10.1080/07362994.2021.1942046:1-16, 2021.
6. M.C. Mariani, F. Biney, and O.K. Tweneboah, Analyzing medical data by using statistical learning models,” Mathematics, 9(9):968, 2021.
7. M.C. Mariani, M.A.M. Bhuiyan, O.K. Tweneboah, and H. Gonzalez-Huizar, “Long memory effects and forecasting of earthquake and volcano seismic date,” Physica A: Statistical Mechanics and its Applications, Volume 559, 125049, 2020.
8. M.C. Mariani, W. Kubin, P.K. Asante, O.K. Tweneboah, M.P. Beccar-Varela, S. Jaroszewicz, and H. Gonzalez-Huizar, “Self-Similar Models: Relationship between the Diffusion Entropy Analysis, Detrended Fluctuation Analysis, and Lévy Models,” Mathematics, 8(7):1046, 2020.
9. C. Mariani, P.K. Asante, M.A.M Bhuiyan, M.P. Beccar-Varela, S. Jaroszewicz, and O.K. Tweneboah, “Long-range correlations and characterization of financial and volcanic time series,” Mathematics, 8(3):441, 2020.
10. M.C. Mariani, M.A.M Bhuiyan, O.K. Tweneboah, M.P. Beccar-Varela, and I. Florescu, “Analysis of stock market data by using Dynamic Fourier and Wavelets techniques,” Physica A: Statistical Mechanics and its Applications, Volume 537, 122785, 2020.
11. M.C. Mariani, M.A.M Bhuiyan and O.K. Tweneboah, “Supervised machine learning models applied to disease diagnosis and prognosis,” AIMS public health vol. 6,4 405-423, 2019.
12. M.P. Beccar-Varela, H. Gonzalez-Huizar, M.C. Mariani and O.K. Tweneboah, “Lévy Flights and Wavelets Analysis of Volcano-Seismic Data,” Pure and Applied Geophysics, 177(2), 723-736, 2020.
13. M.C. Mariani, M.A.M Bhuiyan and O.K. Tweneboah, “Statistical Data Mining Algorithms for the Prognosis of Diabetes and Autism,” Proceedings of 2019 Hawaii Stem/Steam Conference, Hawaii, ISSN 2333-4908, 2019.
14. M.P. Beccar-Varela, M.C. Mariani, M.A.M Bhuiyan and O.K. Tweneboah, “Analytic Methods for Solving Higher Order Ordinary Differential Equations,” Mathematics, 7 (9), 826, 2019.
15. M.C. Mariani, O.K. Tweneboah, M.A. Valles and P. Bezdek, “Complex Gleason Measures and the Nemytsky Operator,” Annales Mathematicae Silesianae, 33 (1), 168-209, 2019.
16. M.C. Mariani, M.A.M Bhuiyan, O.K. Tweneboah, and H. Gonzalez-Huizar,“Volatility models applied to geophysics and high-frequency financial market data,” Physica A: Statistical Mechanics and its Applications, Volume 491, Issue 1, pp 167-176, 2018.M.
17. M.C. Mariani, M.A.M Bhuiyan, O.K. Tweneboah, and H. Gonzalez-Huizar“Estimation of stochastic volatility by using Ornstein Uhlenbeck type models,” Physica A: Statistical Mechanics and its Applications, Volume 491, 167-176, 2018.
18. M.C. Mariani, H. Gonzalez-Huizar, M.A.M Bhuiyan, and O.K. Tweneboah, “Using dynamic Fourier analysis to discriminate between seismic signals from natural earthquakes and mining explosions,” AIMS Geosciences, Volume 3, 438-449, 2017.
19. M.P. Beccar-Varela, M.C. Mariani and O.K. Tweneboah, “Analysis of the Lehman Brothers collapse and the Flash Crash event by applying wavelets methodologies,” Physica A: Statistical Mechanics and its Applications, Volume 474, pp 162-171, 2017.
20. M.C. Mariani, M.A.M Bhuiyan, O.K. Tweneboah, and H. Gonzalez-Huizar, “Forecasting the Volatility of Geophysical Time Series with Stochastic Volatility Models,” World Academy of Science, Engineering and Technology, Volume 11(10),393-399 2017.
21. M.P. Beccar-Varela, H. Gonzalez-Huizar, M.C. Mariani, L.F. Serpa, and O.K. Tweneboah, “Levy Flight and Long-range Correlation Analysis of Earthquake magnitudes in Chile,” Pure and Applied Geophysics, Volume 173, Issue 7, pp 2257-2266, 2016.
22. C. Mariani, O.K. Tweneboah, H. Gonzalez-Huizar and L. Serpa “Stochastic differential equation of earthquakes series,” Physica A: Statistical Mechanics and its Applications, Volume 173, pp 2357-2364, 2016.
23. M.P. Beccar-Varela, H. Gonzalez-Huizar, M.C. Mariani and O.K. Tweneboah, “Use of wavelets techniques to discriminate between explosions and natural earthquakes,” Physica A: Statistical Mechanics and its Applications, Volume 457, pp 42-51, 2016.
24. M.C. Mariani and O.K. Tweneboah, “Stochastic differential equations applied to the study of geophysical and financial time series,” Physica A: Statistical Mechanics and its Applications, Volume 443, pp 170-178, 2016.