Research/Publications:

Books:

1. N. Diawara: “New Classes of Multivariate Gamma Survival and Reliability Models,” Lambert Academic Publishing, ISBN: 978-3-8383-1140-1,121 pages, 2009.
2. N. Diawara: Modern Statistical Methods for Spatial and Multivariate Data, Editor: N. Diawara, ISBN 978-3-030-11430-5, 177 pages, 2019. https://www.springer.com/us/book/9783030114305  eBook version.

Book Chapters:

1. Diawara, N. and M. Carpenter, Title Chapter: “A Multivariate Gamma Distribution for Linearly Related Proportional Outcomes,” pp. 787-812, Title of Book: “Handbook of Fitting Statistical Distributions with R,” in CRC Press Taylor & Francis Group, USA, 2010, ISBN: 978-1-58488-711-9, 1672 pages
2. Lamichhane, R, N. Diawara and C. Jones, (2014), Title Chapter: “Forecasting of Time Series Data using Multiple Break Points and Mixture Distributions”, pp. 241-278, Title of Book: “New Frontiers of Multidisciplinary Research in STEAM,” Springer
3. Working, A., M. Alqawba and N. Diawara, (2018), Title Chapter: “Functional Form of Markovian Attribute-level Best-Worst Discrete Choice Modelling”, pp. 1-20, in Springer STEAM – H Series, Title of Book: “Modern Statistical Methods for Spatial and Multivariate Data,” Springer.
4. Lorio, J., N. Diawara and L. Waller, (2018), Title Chapter: “Quantifying spatio-temporal characteristics via Moran's statistics”, pp. 100-120, in Springer STEAM – H Series, Title of Book: “Modern Statistical Methods for Spatial and Multivariate Data,” Springer.

Refereed Journals and Peer-reviewed Proceedings:
Students' collaborators are marked with an asterisk (*)

• Shboul, ZA, N. Diawara, A. Vossough, JY Chen and Khan Iftekharuddin, (2021), “Joint Modeling of RNAseq and Radiomics Data for Glioma Molecular Characterization and Prediction,” Frontiers in Medicine, section Translational Medicine, Vol. 8:705071, https://doi.org/10.3389/fmed.2021.705071
• Bedford J.T., J. Poutsma, N. Diawara and L.H. Greene LH. (2021) The nature of persistent interactions in two model β-grasp proteins reveals the advantage of symmetry in stability. Journal of Computational Chemistry. DOI: https://doi.org/10.1002/jcc.26477.
• Alqawba, M., N. Diawara, K. G. Afrifa, M. I. Elbakary, M. Cetin, and K. M. Iftekharuddin (2021), ‘Statistical Analysis and Comparison of Optical Classification of Atmospheric Aerosol Lidar Data,’ Trans Eng Comput Sci.;2(1):119.
• Kannane*, J., N. Diawara and B. Porter and Jihan Kannane (2021), “Evaluation and Prediction under Hierarchical and Bivariate Copula Models for Seat Belt Use Data,” Journal of Statistical Theory and Practice (JSTP), Vol. 15 (50): doi: https://doi.org/10.1007/s42519-021-00191-2..
• Alqawba, M, L.R. Rodriguez, N. Diawara, R.T. Beuschel, M. Kaler, A.V. Barochia, S.J. Levine, S.D. Nathan and G. Grant, (2020), “Classification Models of Idiopathic Pulmonary Fibrosis Patients,” I. J. of Respiratory and Pulmonary Medicine, Vol. 7:131, (1), https://doi.org/10.23937/2378-3516/1410131.
• Johnson, R., J. Matthews, N. Diawara and R. Carroll, (2020), “Statistical Analysis of fNIRS Data: Consideration of Spatial Varying Coefficient Model of Prefrontal Cortex Activity Changes During Speech Motor Learning in Apraxia of Speech,” Front. Appl. Math. Stat., Vol 6(32), pp.1-16,  https://doi.org/10.3389/fams.2020.00032.
• Alqawba, M. and N. Diawara, (2020), “Copula Based Markov Zero-Inflated Count Time Series Models with Application,” Journal Applied Statistics, https://doi.org/10.1080/02664763.2020.1748581.

• Alqawba*, M., N. Diawara and R. Chaganty, (2019), “Zero-Inflated Count Time Series Models Using Gaussian Copula," Sequential Analysis Journal: Design methods and Applications, Vol 38(3), pp. 342–357, https://doi.org/10.1080/07474946.2019.1648922.
• Alqawba*, M., N. Diawara, and JM. Kim, (2019), "Copula Directional Dependence of Discrete Time Series Marginals," accepted in Communications in Statistics: Simulation and Computation,https://doi.org/10.1080/03610918.2019.1630434.

• Samad, M., N. Diawara, J. Bobzien, C. Taylor, J. Harrington, K. Iftekharuddin, (2019), “A Pilot Study to Identify Autism Related Traits in Spontaneous Facial Actions Using Computer Vision Research in Autism Spectrum Disorders,” Journal: Research in Autism Spectrum Disorders, pp. 14-24,https://doi.org/10.1016/j.rasd.2019.05.001.

• Lintag*, K., A. Bruhn, L. Tolle, and N. Diawara (2019), "Radiation Safety Practices of United Stated Dental Hygienists," Journal of Dental Hygiene, Vol. 93(4): pp. 14-23.

• Alqawba*, M., N. Diawara and R. Chaganty, (2019), “Zero-Inflated Count Time Series Models Using Gaussian Copula," Sequential Analysis Journal: Design methods and Applications, Vol 38(3), pp. 342–357, https://doi.org/10.1080/07474946.2019.1648922.

• Working, A., M. Alqawba* and N. Diawara, (2019), “Dynamic Attribute-Level Best Worst Discrete Choice Experiments,” International Journal of Marketing Studies, pp. 1-14, https://doi.org/10.5539/ijms.v11n2p1.

• Sen, S., P. Sengupta and N. Diawara, (2018), “Doubly-inflated Poisson model using Gaussian copula,” Communications in Statistics-Theory and Methods: Vol. 47(12), pp. 2848-2858,https://doi.org/10.1080/03610926.2017.1342831.

• Lorio*, J., Diawara, N. and Waller, L. (2018), “Density estimation of spatio-temporal point patterns using Moran's statistics,” International Journal of Statistics and Probability, Vol. 7 (2), pp. 80-90, https://doi.org/10.5539/ijsp.v7n2p80.

• Ledbetter*, MK., N. Diawara and B. Porter, (2018), “The Use of Item Response Theory in Survey Methodology: Application in Seat Belt Data,” American Journal of Operations Research, Vol. 8 pp.17-32https://doi.org/10.4236/ajor.2018.81002.

• Bui, N., J. Lorio*, N. Diawara, K. Das and L. Waller (2018), “New Approaches to Model Simulated Spatio-Temporal Moran's Index,” Journal of Probability and Statistical Sciences (JPSS), Vol. 16(1), pp. 11-24.

• Working, A., M. Alqawba*, N. Diawara and L. Li (2018), “Time Dependent Attribute-Level Best Worst Discrete Choice Experiments,” Big Data and Information Analytics, Vol. 3(1), pp. 55-72,doi:10.3934/bdia.2018010.

• Sen, S. and N. Diawara, (2017), “Supervised Classification Using Finite Mixture Copula,” Journal of Probability and Statistical Science (JPSS), Vol. 15(2), pp. 189-201.

• Newcomb TL, Bruhn AM, Giles B, Garcia HM,Diawara N., (2017), “Testing a Novel 3D Printed Radiographic Imaging Device for Use in Forensic Odontology,” J Forensic Sci. Vol. 62(1):pp. 223-228,https://doi.org/10.1111/1556-4029.13230.

• Gupta, A., Pribesh, S. and Diawara, N. (2017), “Therapeutic Breathing Techniques and Disparity across Student Performance in English and Mathematics,” IRA International Journal of Education and Multidisciplinary Studies (ISSN 2455-2526), Vol. 8, pp. 164-174, https://doi.org/10.21013/jems.v8.n2.p2.

• Diawara, N., Waller, L. King, R. and J. Lorio, (2017), “Simulations of Moran’s Index under Spatio-Temporal setting,” Communications in Statistics: Simulation and Computation, Vol. 48 (6) pp. 1849-1859. https://doi.org/10.1080/03610918.2018.1425441.

• Samad, MD., N. Diawara, Jonna L. Bobzien, John W. Harrington, Khan M. Iftekharuddin, (2017), “A Feasibility Study of  Autism Behavioral Markers in  Spontaneous Facial, Visual, and Hand Movement Response Data,” IEEE Transactions on Neural Systems and Rehabilitation Engineering; Vol. 26(2): pp. 353-361 https://doi.org/10.1109/TNSRE.2017.2768482.

• Maboudou-Tchao, E.M., I. Silva and N. Diawara (2016), “Monitoring the mean vector with Mahalanobis kernels,” Quality Technology and Quantitative Management (QTQM/ISSPM) 2015, pp.1-16.

• Diawara, N., Demuren, A. and Gyuricsko, E. (2016), “Impairment of Continuous Insulin Delivery Therapy and Analysis from Graeco-Latin Square Design Model,” Journal of Biosciences and Medicines (JBM), 4, pp. 40-51. http://dx.doi.org/10.4236/jbm.2016.48006.

• Ledbetter*, M., N. Diawara and B. Porter (2016), “Exploring new models for seatbelt use in survey data,” Virginia Journal of Science, Vol. 67(3), Article 2, pp. 1-24.

• Sen*, S., N. Diawara and K. Iftekharuddin, (2015), “Statistical Pattern Recognition Using Gaussian Copula,” Journal of Statistical Theory and Practice, Vol. 9 (4) pp. 768-777,https://doi.org/10.1080/15598608.2015.1008607.

• Newcomb T, A. Bruhn, L. H. Ulmer and N. Diawara (2015), “Performance of Dental Hygiene Students in Mass Fatality Training and Radiographic Imaging of Dental Remains,” J. Dent Hyg, 89 (5): pp. 313-320.

• Milletich* R.J., N. Diawara and A. Jeng, (2015), “Modeling of the Deaths Due to Ebola Virus Disease Outbreak in Western Africa,” Int. J. of Statistics in Medical Research, Vol. 4, pp. 306-321,https://doi.org/10.6000/1929-6029.2015.04.04.1.

• Jeng, H.A, Huang YL, Pan CH and N. Diawara (2015), “Role of low exposure to metals as male reproductive toxicants.” Int. J. Environ Health Res. 2014 Oct 1:1-13,https://doi.org/10.1080/09603123.2014.958137.

• Padrino-Barrios*, C., G McCombs, N. Diawara, G DeLeo (2015), “The Use of Immersive Visualization for the Control of Dental Anxiety During Oral Debridement.” J. Dent Hyg. 89(6): pp. 372-377.

• Lamichhane, R., S Singh, and N. Diawara (2015), “Improved Estimation of Population Mean Using Known Median of Auxiliary Variable”, Communications in Statistics-Simulation and Computation, Vol. 46 (4), pp. 2821-2828, https://doi.org/10.1080/03610918.2015.1062102.

• Diawara N., S.H. Indika, M. Grant and E.M. Maboudou-Tchao (2014), The Bivariate Erlang and its Application in Modeling Recurrence Times of Kidney Dialysis Data, International J. of Statistics in Medical Research (IJSMR), Vol. 3, pp. 88-93.

• Diawara N., B. Oluyede and R. King (2014), “Structural Equation Modeling of Multivariate Gamma Density,” Afrika Matematika, Vol. 25 (2), pp. 345-356.

• Sen*, S., R. Lamichhane and N. Diawara (2014) “A Bivariate Distribution with Conditional Gamma and its Multivariate Form,” J. of Modern Applied Statistical Methods, Vol. 13, 2, pp. 169-184.

• Terzis, J.K., D. Karypidis, R. Mendoza, Z.T. Kokkalis and N. Diawara (2014) “Morphometric analysis of the effect of scapula stabilization on obstetric brachial plexus paralysis patients,” American Association for Hand Surgery, Vol. 9 (3), pp. 303-314.

• Terzis, J.K., D. Karypidis, R. Mendoza, Z.T. Kokkalis and N. Diawara (2014) “Morphometric analysis of the association of primary shoulder reconstruction procedures with scapular growth in obstetric brachial plexus paralysis patients,” American Association for Hand Surgery, Vol. 9 (3), pp. 292-302.

• Maboudou-Tchao, M. and N. Diawara (2013), “A LASSO chart for Monitoring the Covariance Matrix,” Quality Technology & Quantitative Management Journal, Vol. 10 (1), pp. 95-114.

• Jolly, C.M., E. Namugabo, G. Nguyen, N. Diawara, P. Jolly and F. Ovalle (2013), “Net Food Imports and Obesity in Selected Latin American & Caribbean Countries,” Advances in Management & Applied Economics, Vol. 3, 6, 2013, pp. 159-177.

• Diawara N., S.H. Indika and E.M. Maboudou-Tchao (2013), “The Distribution of the Sum of Independent Product of Bernoulli and Exponential,” American J. Management Mathematical Sciences (AJMMS), Vol. 32 (1), pp. 75-89.

• Wadhwa*, M., C. Xin, M. Song, N. Diawara, Y. Zhao and K. Kaur (2012), "Optimal Spectrum Sharing for Contention-Based Cognitive Radio Wireless Networks," Wireless Algorithms, Systems, and Applications, Vol. 7405, pp. 187-196.

• Lamichhane*, R., N. Diawara and C. Jones (2012), “Temporal Prediction Models from Marginal and Small Data Signal: The Otolith Data Example,” Proceedings Joint Statistical Meetings (JSM), San Diego, CA, pp. 2383-2394.

• Jeng, HA, C. Pan, W. Lin, MT Wu, S. Taylor, GP Chang-Chien, G Zhou, N. Diawara, (2013), “Biomonitoring of Polycyclic Aromatic Hydrocarbons from Coke Oven Emissions and Reproductive Toxicity in Nonsmoking Workers,” Journal of Hazardous Materials, Vol. 244-245, pp. 436-443.

• Jeng, H.A., C.H. Pan, G.P. Chang-Chien, N. Diawara, C.Y. Peng and M.T. Wu (2011), “Repeated measurements for assessment of urinary 2-napphtol levels in individuals exposed to polycyclic aromatic hydrocarbons,” J. of Environmental Sciences and Health, Part A, Vol. A 46, No. 8, pp. 865-873.

• Das, K., S. Sarker* and N. Diawara (2011), “Further Review of Panjer's Recursion for Evaluation of Compound Negative Binomial Distribution using R,” Missouri J. Math. Sci. (MJMS), Vol. 23, Issue 2, pp.182-191.

• Sinha, S., A. Biswal, A. Gupta, N. Diawara and G.L. Lee (2011), “Assessing Critical Reading Skills Among English as Second Language (ESL) College Students,” Research Journal of Berhampur University, Vol. 1, 2011, pp. 145-153.

• Diawara, N. (2011), “Semi-parametric Estimation for Marginal and Small Data Expression: the kidney Data Example,” Section on Statistics in Epidemiology, Proceedings Joint Statistical Meetings (JSM), Miami, FL, pp. 3230-3238.

• Oluyede, B. and N. Diawara (2011), “On Mean Advantage Over Inferiors Ordering and Weighted Distributions,” Int. J. Contemp. Math. Sciences, Vol. 6, 2011, No. 5, pp. 229-239.

• Zhang Q., Z. Chen, N. Diawara and Y. Wang (2011), “Prices of unhealthy foods, food stamp program participation, and body weight status among low income women,” J. of Family and Economic Issues, Vol. 32, pp. 245-256.

• Prista*, N., N. Diawara, M.J. Costa and C. Jones (2011), “Using SARIMA to assess data-poor data-limited fisheries: a case study with a sciaenid fishery off Portugal,” Fisheries Bulletin, Vol. 109, Issue 2, pp. 170-185.

• Indika*, S.H., N. Diawara and R. King (2010), “Efficient Semi-parametric Estimation for Marginal Correlated small sample data,” Proceedings of International Neural, Parallel, and Scientific Computations Conference 4, Atlanta, GA, pp. 161-168.

• Indika*, S.H. and N. Diawara (2010), “Linear Dependency for the Difference in Exponential Regression,” Involve, a J. of Mathematics, Vol. 3, Issue 2, pp. 215-222.

• Diawara, N. and M. Carpenter (2010), “Mixture of Bivariate Exponential Distributions,” Communications in Statistics-Theory and Methods, Vol. 39, Issue 15, pp. 2711-2720.

• Diawara, N. and K. Das (2010), “The Joint Distribution of Bivariate Exponential under linearly Related Models,” J. Stat & Oper. Res. (PJSOR) Vol. 6, Issue 1, 2010, pp.1-19.

• Jeng, H.A., C.H. Pan, N. Diawara, G.P. Chang-Chien, W.Y. Lin, C.T. Huang, C.K. Ho and M.T. Wu (2010), “Polycyclic aromatic hydrocarbon-induced oxidative stress and lipid peroxidation in relation to immunological alteration,” Journal of Occupational and Environmental Medicine, Vol. 68, No. 9, pp. 653-658.

• Diawara, N. (2009), “Notes on Bivariate Exponential Mixture for Heterogeneous Survival Data,” Proceedings 12th North American Meeting of New Researchers in Statistics and Probability, pp. 12-15.
• Diawara, N. (2009), “Bivariate Exponential Mixture Models,” Section on Risk Analysis, Proceedings Joint Statistical Meetings (JSM), Washington DC, pp. 865-869.

• Carpenter, M. and N. Diawara (2007), “A Multivariate Gamma Distribution and Its Characterizations,” American J. Management Mathematical Sciences (AJMMS), Vol. 27, No. 3 & 4 pp. 499-507.

• Diawara, N. and M. Carpenter (2007), “A Bivariate Gamma Distribution and its Characterization,” Section on Risk Analysis, Proceedings Joints Statistical Meetings (JSM), Salt Lake City, Utah, pp. 1802-1808.

• McCown*, F., N. Diawara and M.L. Nelson (2007), “Factors Affecting Website Reconstruction from Web Infrastructure,” Proceedings of Joint Conference on Digital Libraries 2007, pp. 39-48.

• Diawara, N. (2008), “Multivariate Gamma Distribution Based on Linear Relationship,” J. of Applied Statistical Science (JASS), Vol. 17, Issue 4, pp. 483-493.

• Carpenter, M., N. Diawara and Y. Han (2006), “A New Class of Bivariate Survival and Reliability Models,” American J. Management Mathematical Sciences (AJMMS), Vol. 26, No. 1 & 2, pp. 163-184.

• Diawara, N., X. Han, B. Hanlon, M. Navaratna and A. Vijayat (2005), “Power Pre-Allocation and Control in a Heavy Traffic Queuing Model for Wireless System,” Proceedings of the Industrial Mathematical and Statistical Modeling (IMSM) at the University of North Carolina, IMSM, Raleigh, North Carolina, July 2005, pp. 88-101.

Doctoral Students 

1. Mohammed Alqawba, PhD Statistics, Summer 2019, Title Dissertation: “Copula Based Zero-Inflated Count Time Series Models,” offered position as Assistant Professor at Qassim University, Saudi Arabia.
2. Jennifer Lorio Matthews, Commander, PhD Statistics, Spring 2019, Title Dissertation: “Spatio-Temporal Cluster Detection and Local Moran Statistics of Point Processes,” now Assistant Professor at Annapolis Naval Academy.
3. Amanda Working, PhD Statistics, Fall 2017, now Data Analyst Positive Behavioral Interventions and Supports (PBIS), A component of the Virginia Tiered Systems of Supports (VTSS), Old Dominion University.
4. Sumen Sen, PhD Statistics, Summer 2015, Title Dissertation: “Pattern Recognition using Gaussian Copula and Mixture Gaussian Copula Based Models”, now Assistant Professor at Austin Peay State University in Tennessee.
5. Sameera D. Viswakula, PhD Statistics, Title Dissertation: “Zero-Inflated Models to Identify Transcription Factor Binding Sites in Chip-Seq Experiments,” Graduation Summer 2015, now Assistant Professor-Lecturer in Sri Lanka university.
6. Rajan Lamichhane, PhD Statistics: “Forecasting Under Structural Changes in Non-Linear Times Series Models,” Graduation Spring 2013. Assistant Professor at Texas A&M University Kingsville, now at Eastern Virginia Medical University.
7. Sathish Indika, PhD Statistics, Title Dissertation: “Semi-Parametric Likelihood Functions for Bivariate Survival Data,” Graduation Summer 2010.
   Now Associate Professor at Thomas Nelson Community College and Lecturer at Old Dominion University.
    

Reviewer and Referee for:

American Journal of Mathematical and Management Sciences (AJMMS)
Communications in Statistics
Involve: A Journal of Mathematics
Journal of Combinatorics, Information & System Sciences (JCISS)
Journal of Multivariate Analysis (JMVA)
Entropy
WIREs Computational Statistics
JASA
The American Statistician (TAS)
Computational Statistics (COST)
JSTP
Applied Economics