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► Books (4)

  1. Cardot, H., Chagny, G., Cugliari-Duhalde, J., Dabo-Niang, S., Nerini, D., Roche, A., Saporta, J. (2025). Analyse de données fonctionnelles / Functional Data Analysis. JES, SFDS.

  2. Xu, J., Noor Azina Binti Ismail, N.A.B., Dabo-Niang, S., Ali Hassan, M.H., Hajiyev, A. (2024). The Eighteenth International Conference on Management Science and Engineering Management. Springer, Lecture Notes on Data Engineering and Communications Technologies.

  3. Mathematical Modeling and Study of Random or Deterministic Phenomena. Wiley. Link

  4. Dabo-Niang, S and Ferraty, F. (2008). Functional and Operatorial Statistics. Springer-Verlag, New York.

► Research papers (95)

  1. Jannin, A., Dabo-Niang, S., Dessein, A-F., et al. (2025). Metabolite biomarker discovery for pancreatic neuroendocrine tumors using metabolomic approach. European Journal of Endocrinology, 27 ; 192(4) :466-480. 10.1093/ejendo/lvaf055.

  2. Yap, Z.J., Pathmanathan, D.P., Dabo-Niang, S. (2025). Forecasting mortality rates with functional signatures.* ASTIN Bulletin. The Journal of the International Actuarial Association*. https ://doi.org/10.1017/asb.2024.38

  3. Si-Ahmed, I., Hamdad, L., Agonkoui, C., Kande, Y., Dabo-Niang, S. (2025). Principal Component Analysis of Multivariate Spatial Functional Data. Big Data Research. https ://doi.org/10.1016/j.bdr.2024.100504

  4. Moindjié, IA., Preda, C., Dabo-Niang, S. (2025). Fusion regression methods with repeated functional data. Computational Statistics and Data Aanalysis. https ://doi.org/10.1016/j.csda.2024.108069

  5. Ibrahimou, B., Sun, N., Dabo-Niang S. (2024). Assessing the multi-dimensional effects of air pollution on maternal complications and birth outcomes : A structural equation modeling approach. Hygiene and Environmental Health Advances. 12, 100113. https ://doi.org/10.1016/j.heha.2024.100113

  6. Doumun, S., Dabo-Niang, S., Zoueu, J. (2024). A Novel Unstained Blood Smears Multispectral Images Normalization for automatic and rapid diagnosis of malaria. International Journal of Imaging Systems and Technology. https ://doi.org/10.1002/ima.23182

  7. Tzung Hsuen, K. ; Pathmanathan, D. ; Otto, P. ; Dabo-Niang, S. (2024). A Markovswitching spatio-temporal ARCH model. STAT. https ://doi.org/10.1002/sta4.713

  8. Dabo-Niang, S., Frévent, C (2024). Uncovering Data Across Continua : An Introduction to Functional Data Analysis. AMS Notice(August, 2024). https ://www.ams.org/journals/notices/202407/rnoti-p869.pdf

  9. Pillay, A.B., Pathmanathan, D., Dabo-Niang, S., Abu, A., Omar, H. (2024). Functional data geometric morphometrics with machine learning for craniodental shape classification in shrews. Scientific Report 14, 15579. https ://doi.org/10.1038/s41598-024-66246-z

  10. Faye, P.A., Brunel, E., Claverie, T., Manou-Abi, S., and Dabo-Niang, S. (2024). Automatic geomorphological mapping using ground truth data with coverage sampling and random forest algorithms. Earth Sci Inform. https ://doi.org/10.1007/s12145-024-01347-x

  11. Frévent, C., Ahmed,. Dabo-Niang, S., Genin, M. (2024). A shared-frailty spatial scan statistic model for time-to-event data. Biometrical Journal. https ://doi.org/10.1002/bimj.202300200

  12. Dabo-Niang, S., Esteban, M-J., Guillopé, G., Martinez, C., M-F., Roy, M-F. (2024). Aspects of the gender gap in mathematics. European Mathematical Society Magazine. https ://euromathsoc.org/magazine/articles/178

  13. Kande, Y., Diogoul, N., Brehmer, P., Dabo-Niang, S,. Ngom, P., Perrot, Y. (2024). Demonstrating the relevance of spatial-functional statistical analysis in marine ecological studies : The case of environmental variations in micronektonic layers.Ecological Informatics, 81, https ://doi.org/10.1016/j.ecoinf.2024.102547.

  14. Moindjié, IA., Dabo-Niang, S., Preda, C. (2024) Classification of multivariate functional data on different domains with Partial Least Squares approaches. Stat Comput 34, 5. https ://doi.org/10.1007/s11222-023-10324-1

  15. Ahmed, M.S, Attouch, M.K, Dabo-Niang, S, Ndiaye, M. (2023). K-nearest neighbors method estimation of regression function for spatial dependent data. Journal of Spatial Econometrics. vol. 4(1), 1-34. https ://doi.org/10.1007/s43071-023-00041-2

  16. Dabo-Niang, S., Ah-Pine, J., Llop, P., Yao, A-F. (2023) Some results on statistics and functional data analysis. ESAIM : Proceedings and Surveys, Journées MAS, November 2023, Vol. 74, 2-18.

  17. Sun, N., Bursac, Z., Dryden, I. Lucchini, R., Dabo-Niang S., Ibrahimou, B. (2023). Bayesian spatiotemporal modelling for disease mapping : an application to preeclampsia and gestational diabetes in Florida, United States. Environ Sci Pollut Res. https ://doi.org/10.1007/s11356-023-29953-0

  18. Ringo, T-T, Nasini, S., Dabo-Niang S. (2023). An estimation approach for the influentialimitator diffusion. Computers and Operations Research, 159. https ://doi.org/10.1016/j.cor.2023.106315.

  19. Agonkoui, C., Dabo-Niang, S., Moussa. F-D. (2023). Multivariate Functional Principal Component Analysis for stratified data. Afrika Statistika. http ://dx.doi.org/10.16929/as/2022.3321.308

  20. Amouzay, H., Chakir, R., Dabo-Niang, S., El Ghiny, A. (2023). Structural Changes in Temperature and Precipitation in MENA Countries. Earth Syst Environ. https ://doi.org/10.1007/s41748-023-00344-2

  21. Si-Ahmed, I., Azeyou, M., Hamdad, L., Dabo-Niang, S. (2023). Functional, Multivariate Functional and Spatial PCA : Application to Covid-19 Data in the African Continent. In : Laouar, M.R., Balas, V.E., Lejdel, B., Eom, S., Boudia, M.A. (eds) 12th International Conference on Information Systems and Advanced Technologies ICISAT 2022. ICISAT 2022. Lecture Notes in Networks and Systems*, vol 624. Springer, Cham.

  22. Kanga, A-S., Ouagnina H., Dabo-Niang, S. (2023). On nonparametric conditional quantile estimation for non-stationary spatial processes. C. R., Math., Acad. Sci. Paris, 361, 847-852, https ://doi.org/10.5802/crmath.400.

  23. Bouka, S., Dabo-Niang, S., and Nkiet, G-M. (2023) On estimation and prediction in spatial functional linear regression model. Lithuanian Mathematical Journal. DOI : 10.1007/s10986-023-09586-z

  24. Frévent, C., Ahmed, M-S , Dabo-Niang, S., and Genin, M. (2023). Investigating spatial scan statistics for multivariate functional data. Journal of Royal Statistical Society C., 72, Issue 2, May 2023, Pages 450-475, https ://doi.org/10.1093/jrsssc/qlad017.

  25. Tchazino, T., Dabo-Niang, S and Diop, A (2022). Tail and quantile estimation for realvalued beta-mixing spatial data. Mathematical Methods of Statistics. DOI : 10.3103/S1066530722040044

  26. Dabo-Niang, S., Darwich, E., Hamdad, L., Thiam, B. (2022). Spatial Relative Risk of Upper Aerodigestive Tract Cancers Incidence in French Northern Region. SN Computer Science. DOI : https ://doi.org/10.1007/s42979-022-01426-0.

  27. C. Frévent, M.S. Ahmed, J. Soula, Z. Smida, L. Cucala, S. Dabo-Niang et M. Genin (2022). The R Package HDSpatialScan for Multivariate and Functional Spatial Scan Statistics. The R Journal. DOI : 10.32614/RJ-2022-045

  28. Kanga, A-S., Ouagnina H., Dabo-Niang, S, N’Guessan, A (2022). Asymptotic properties of nonparametric quantile estimation with spatial dependency. Statistica Neerlandica, 2022, DOI : 10.1111/stan.12284.

  29. Yacour, S., Dabo-Niang, S., El Ghini, A. (2022). Investigating Environmental Kuznets Curve for CO2 Emissions : A Cointegration Analysis for Morocco. Proceedings of the Sixteenth International Conference on Management Science and Engineering Management. Vol 2, 145, 506-525. Lecture Notes on Data Engineering and Communications Technologies, DOI : 10.1007/978-3-031-10385-8-36.

  30. Dabo-Niang, S., Thiam, B., Verdebout, T. (2022). Asymptotic efficiency of some nonparametric tests for location on hyperspheres. Statistics and Probability Letters, 188, 109524. DOI : https ://doi.org/10.1016/j.spl.2022.109524

  31. Kanga, S-H-A,.Hili, O., Dabo-Niang, S (2022). On Nonparametric Conditional Quantile Estimation for Non-stationary Random Fields. Afrika Statistika, 16 (4), 2021, 3009 - 3039. DOI : http ://dx.doi.org/10.16929/as/2021.3009.193.

  32. Ahmadian, B., Mbujamba, D., Gerbedoen, J-C., Kumemura, M., Fujita, H., Collard, D., Dabo-Niang, S., Lagadec, C., Tarhan, M-C (2022). Single cell classification using statistical learning on mechanical properties measured by mems tweezers. 2022 IEEE 35th International Conference on Micro Electro Mechanical Systems Conference (MEMS), Tokyo, Japan, 2022, pp. 317-320, doi : 10.1109/MEMS51670.2022.9699466.

  33. Gbogbo, A.Y, Kouakou, B-K, Dabo-Niang, S. Zoueu, J-T (2022). Predictive model for airborne insect abundance intercepted by a continuous wave Scheimpflug lidar in relation to meteorological parameters. Ecological Informatics, Vol 68. https ://doi.org/10.1016/j.ecoinf.2021.101528.

  34. Boumeddane, S. ; Hamdad, L. ; Haddadou, H. and Dabo-Niang, S. (2021). Dimensionality Reduction and Bandwidth Selection for Spatial Kernel Discriminant Analysis. In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Vol. 2 : ICAART, ISBN 978-989-758-484-8 ISSN 2184-433X, p : 278-285. DOI : 10.5220/0010269002780285

  35. Boumeddane, S., Hamdad, L., Dabo-Niang, S., Haddadou, H. (2021). A Kernel Discriminant Analysis for Spatially Dependent Data. Distributed and Parallel Databases. 39 : 583-606. https ://doi.org/10.1007/s10619-020-07309-8.

  36. Vandewalle, V., Preda, C., Dabo-Niang, S. (2021). Clustering spatial functional data. Geostatistical Functional Data Analysis : Theory and Methods. J. Mateu and R. Giraldo (Eds). John Wiley and Sons, Chichester, UK. ISBN : 978-1-119-38784-8.

  37. Dabo-Niang, S., Ternynck, C., Thiam, B. and Yao, A-F. (2021). Non-parametric statistical analysis of spatially distributed functional data. Geostatistical Functional Data Analysis : Theory and Methods. J. Mateu and R. Giraldo (Eds). John Wiley and Sons, Chichester, UK. ISBN : 978-1-119-38784-8.

  38. Ahmed, M-S., Broze, L., Dabo-Niang, S., Gharbi, Z. (2021). Regression models for spatially distributed autoregressive functional data. Geostatistical Functional Data Analysis : Theory and Methods. J. Mateu and R. Giraldo (Eds). John Wiley and Sons, Chichester, UK. ISBN : 978-1-119-38784-8.

  39. Doumun, S., Dabo-Niang, S., Zoueu, J. (2020). Detection and segmentation of erythrocytes in multispectral label-free blood smear images for automatic cell counting. Journal of Spectral Imaging. https ://doi.org/10.1255/jsi.2020.a10

  40. Adekpedjou, A., Dabo-Niang, S. (2020). Semiparametric estimation with spatially correlated recurrent events. Scandinavian Journal of Statistics. https ://doi.org/10.1111/sjos.12480

  41. Ndiaye ; M., Dabo-Niang, S., Ngom, P., Thiam, N., Fall, M., Brehmer, P. (2020). Nonparametric prediction for spatial dependent functional data : Application to demersal coastal off Senegal. Mathematical Modeling and Study of Random or Deterministic Phenomena, Wiley. http ://www.iste.co.uk/book.php ?id=1601

  42. Alaya, M-A-B., Ternynck, C., Dabo-Niang, S., Chebana, F.,Ouarda, T.B.M.J.(2020). Change point detection of flood events using a functional data framework. Advances in Water Resources Vol ; 137, 103522 ; https ://doi.org/10.1016/j.advwatres.2020.103522

  43. Ahmed, M-S., Dabo-Niang, S., Genin, M., Hassan, A.A. (2019). Partially linear spatial probit models. Annals of ISUP. 63, fasc. 2-3, 2019, 71-96

  44. Boumeddane, S., Hamdad, L., Dabo-Niang, S., Haddadou, H. (2019). Spatial Kernel Discriminant Analysis : Applied for Hyperspectral Image Classification. ICAART (2), 184-191.

  45. Dabo-Niang, S., Thiam, B. (2019). Kernel regression estimation with errors-in-variables for random fields. Afr. Mat ; https ://doi.org/10.1007/s13370-019-00654-7

  46. Curceac, S., Ternynck, C., Ouarda, T.B.M.J., Chebana, F., Dabo-Niang, S. (2019). Short-term air temperature forecasting using Nonparametric Functional Data Analysis and SARMA models. Environmental Modelling and Software ; Vol ; 111, 394-408. DOI : 10.1016/j.envsoft.2018.09.017

  47. Hamdad, L., Benrabah, O., Dabo-Niang, S. (2018). Exploring spectral density estimation for spatial linear process with mixing innovations. Arab. J. Math ; https ://doi.org/10.1007/s40065-018-0227-3

  48. Giraldo, R., Dabo-Niang, S., Martinez, S. (2018). Statistical modeling of spatial big data : An approach from a functional data analysis perspective. Statistics and Probability Letters ; https ://doi.org/10.1016/j.spl.2018.02.025

  49. Ahmed, M.S, Attouch, M. and Dabo-Niang, S. (2017). Functional Binary Choice Models With Choice-Based Sampling. Econometrics and Statistics ; https ://doi.org/10.1016/j.ecosta.2017.07.001

  50. Amiri, A and Dabo-Niang, S. (2017). Density estimation over spatio-temporal data stream. Econometrics and Statistics ; https ://doi.org/10.1016/j.ecosta.2017.08.005.

  51. Soro, B., Hili, O., Niang, S. (2017). Asymptotic Properties of Longitudinal Weighted Averages for Strongly Mixing Data. Journal of Mathematics Research, 9(2), p65. doi :http ://dx.doi.org/10.5539/jmr.v9n2p65

  52. André, M., Dabo-Niang, S., Soubdhan, T. and Ould-Baba, H. (2016). Predictive spatiotemporal model for spatially sparse global solar radiation data. Energy, 111, 599-608. doi :10.1016/j.energy.2016.06.004

  53. Masselot, P., Dabo-Niang, S., Chebana, F. and Ouarda, T B.M.J. (2016). Streamflow forecasting using functional regression. Journal of Hydrology, 538C, 754-766. doi : 10.1016/j.jhydrol.2016.04.048

  54. Dabo-Niang, S., Ternynck, C., Yao, A.-F. (2016). Nonparametric prediction in the multivariate spatial context. Journal of Nonparametric Statistics, 10.1080/10485252.2016.1164313.

  55. Dabo-Niang, S, Guillas, S and Ternynck, C. (2016). Efficiency in Multivariate Functional Nonparametric Models with Autoregressive Errors. Journal of Multivariate Analysis, 147, 168-182, doi :10.1016/j.jmva.2016.01.007

  56. Ternynck, C., Ali Ben Alaya, M., Chebana, F., Dabo-Niang, S., Ouarda, T. B. M. J. (2016). Streamflow hydrograph classification using functional data analysis. Journal of Hydrometeorology, 17(1), DOI : 10.1175/JHM-D-14-0200.1.

  57. Amiri, A, Dabo-Niang and Yahaya, M (2016). Non-parametric recursive density estimation for spatial data. C. R., Math., Acad. Sci. Paris, 354 (2), 205-210 doi :10.1016/j.crma.2015.10.010.

  58. Bouka, S., Dabo-Niang, S., Nkiet, G-M (2015). Non-parametric level set estimation for spatial data. Advances and Application in Statistics, 46 (2), 119-158.

  59. Dabo-Niang, Ternynck, C., Yao, A.-F. (2015). A new spatial regression estimator in the multivariate context. C. R., Math., Acad. Sci. Paris, 353, 635-639. DOI10.1016/j.crma.2015.04.004

  60. Dabo-Niang, S, Kaid, Z. and Laksaci, A (2015). On spatial conditional quantile estimation for a functional regressor. Advances in Statistical Analysis, 2, 131-160. DOI 10.1007/s10182-014-0233-5

  61. Dabo-Niang, S., Hamdad, L., Ternynck, C., Yao, A.-F. (2014). A kernel spatial density estimation with applications to spatial clustering and Monsoon Asia Drought Atlas analysis. SERRA, 28, 2075-2099.

  62. Dabo-Niang, S ; Abdi, S ; Abdi, A, and Diop, A. (2014). Consistency of a nonparametric conditional mode estimator for random fields. Statistical Methods and Application. DOI : 10.1007/s10260-013-0239-2.

  63. Dabo-Niang, S and Yao, A-F. (2013). Spatial kernel density estimation for functional random variables. Metrika. 76(1) :19-52.

  64. Dabo-Niang, S, Kaid, Z. and Laksaci, A (2012). Spatial conditional quantile regression : weak consistency of a kernel estimate. Revue Roum Math Pures Appl, 4, 311-339.

  65. Dabo-Niang, S et Zoueu, J. (2012). Using kriging to resolve malaria-infected erythrocyte contents. Journal of Microscopy. DOI : 10.1111/j.1365-2818.2012.03637., 247 (3), 240- 251.

  66. Dabo-Niang, S, Kaid, Z. and Laksaci, A (2012). On spatial conditional mode estimation for a functional regressor. Statistics and probability letters, 82 (2012) 1413-1421.

  67. Chebana, F, Dabo-Niang, S and Ouarda, T. (2012). Explanatory functional flood frequency analysis. Water Resources Research, 48, W04514, doi :10.1029/2011WR011040.

  68. Dabo-Niang, S and Laksaci, A. (2012). Nonparametric quantile regression estimation for functional dependent data. Communication in Statistics : Theory and Methods. 41, 1254-1268.

  69. Dabo-Niang, S, Rachdi M and Yao, A-F. (2011). Spatial kernel regression estimation and prediction for functional random fields. Far east journal of Statistics. Volume 37, Issue 2, Pages 77 - 113.

  70. Abdi A, Abdi, S, Dabo-Niang, S and Diop, A. (2011). Asymptotic normality of a nonparametric conditional quantile estimator for random fields. Advances in Decision Sciences. Article ID 462157, doi :10.1155/2011/462157.

  71. Dabo-Niang, S, Kaid, Z. and Laksaci, A (2011). Sur la régression quantile pour variable explicative fonctionnelle : Cas des données spatiales. C. R., Math., Acad. Sci. Paris. Vol 349, 23-24, 1287-1291.

  72. Benrabah, O, Dabo-Niang S. et Hamdad, L. (2010). Kernel density estimation for linear processes with dependent innovations. Journal of Statistics : Advances in Theory and Applications, Vol 4, 1, 41-72.

  73. Dabo-Niang, S, Francq, C and Zakoian, J-M. (2010). Combining parametric and nonparametric approaches for time series prediction. JASA, Vol 105 (492), 1554-1565.

  74. Abdi A, Abdi, S, Dabo-Niang, S and Diop, A. (2010). Estimation non-paramétrique du mode conditionnel spatial. C. R., Math., Acad. Sci. Paris. Vol. 348 (13-14), 815-819.

  75. Dabo-Niang, S and Thiam, B. (2010). L1 consistency of a kernel estimate of spatial conditional quantile. Statistics and probability letters, Vol. 80 (17-18), 1447-1458.

  76. Abdi, S, Abdi, A, Dabo-Niang, S et Diop, A. (2010). Consistency of a nonparametric conditional quantile estimator for random fields. Mathematical Methods and Statistics, 2010, Vol. 19, No. 1, 1-21.

  77. Dabo-Niang, S and Laksaci, A. (2010). Note on conditional mode estimation for functional dependent data. Statistica, Vol LXX (1), 83-94.

  78. Bensaid, N and Dabo-Niang, S. (2010). Frequency polygons for continuous random fields. Stochastic Processes and Statistical Inference, 13,1, 55-80.

  79. Dabo-Niang, S, Yao, A-F, Pischedda, L, Cuny, P and Gilbert, F. (2010). Spatial mode estimation for functional random fields with application to bioturbation problem. Stochastic Environmental Research and Risk Assessment, 24, 4, 487-497.

  80. Dabo-Niang, S and Guillas S (2010). Functional semi-parametric partially linear model with autoregressive errors. Journal of multivariate analysis, 101, 2, 307-315.

  81. Dabo-Niang, S and Rhomari, N (2009). Kernel regression estimate in a Banach space. Journal of statistical planning and inference, 139, 1421-1434.

  82. Basse, M, Dabo-Niang, S and Diop, A (2008). Kernel density estimation for functional random fields. Pub. Inst. Stat. Univ. Paris, LII, 1-2, 91-108.

  83. Deru, X., Champarnaud, L., Dabo, S., and Florent, G. (2007). Chronology, ceramics and statistics, Proceedings of the Congress of Langres, SFECAG, 49-60.

  84. Dabo-Niang, S and Laksaci, A (2007). Non-parametric conditional mode estimate with explanatory functional variable. Pub. Inst. Stat. Univ. LI, 3, 27-42.

  85. Dabo-Niang, S and Yao, A-F (2007). Spatial kernel regression estimation. Mathematical Methods of Statistics, Vol 16, No 4, 1-20.

  86. Dabo-Niang, S. and Laksaci, A. (2007). Estimation of non-parametric conditional mode for explanatory functional variable. C.R., Math., Acad. Sci. Paris, 344, 49-52.

  87. Dabo-Niang, S., Ferraty, F. and Vieu, P. (2007). On the using of modal curves for radar waveforms classification. Computational statistics and data analysis, Vol 51, 4878-4890.

  88. Dabo-Niang, S., Ferraty, F. and Vieu, P. (2006). Mode estimation for functional random variable and its application for curves classification. µFar East Journal of Theoretical Statistics*. Vol 18, No. 1 (2006), pp 93 - 119.

  89. Dabo-Niang, S, Ferraty, F and Vieu, P. (2004). Nonparametric unsupervised classification of satellite wave altimeter forms. In Proceedings in Computational Statistics, Ed, J, Antoch, Physica-Verlag, Heidelberg New-York, p : 879-886.

  90. Dabo-Niang, S ; Ferraty, F and Vieu, P. (2004). Mode estimation in a functional space. C.R.Acad. Sci. Paris, Ser I. 339, 659-662.

  91. Dabo-Niang, S. (2004). Kernel density estimator in an infinite dimensional space with a rate of convergence in the case of diffusion process. Applied Mathematical Letters, Vol 17, 4, p : 381-386.

  92. Dabo-Niang, S. (2004). Density estimation by orthogonal series in an infinite dimensional space : Application to processes of diffusion type. Journal of Nonparametric Statistics, Vol 16, 1-2, p : 171-186.

  93. Dabo-Niang, S. (2003). Density estimation in a separable metric space. Pub. Inst. Stat. Univ. Paris, Vol. XXXXVII, fasc. 1-2, 3-21.

  94. Dabo-Niang, S and Rhomari, N. (2003). Non-parametric estimation of regression with explanatory variable in a metric space. C.R.Acad. Sci. Paris, Ser I. 336, 75-80.

  95. Dabo-Niang, S. (2002). Estimation of probability density in infinite dimension : Application to diffusion processes. C.R.Acad. Sci. Paris, Ser I.334, 213-216.

► Articles under revision or submitted (3)

  1. Nasini, S., Erdemlioglu, D., Ding, H., Dabo-Niang, S. (2024). Retrospective Bayesian Estimation for Multinational Pandemic Outbreaks.

  2. Pathmanathan, D., Dabo-Mbenard, I., Tzung Hsuen, K.,Hassan, A.A. and Dabo-Niang, S. (2024). Functional space time series forecasting and application to age-specific mortality rates.

  3. BenSaber, A., Dabo-Niang, S., Karoui, A. (2024). Multivariate nonparametric regression by least squares Jacobi polynomials approximations.

► Some works in progress (3)

  1. Cheok, M., Dabo-Niang, S., Nasini, S., Thiam, B. (2024). Integrated AI-based pharmacodynamic modelling for pediatric acute myeloid leukemia.

  2. Ahmadian, Agonkoui, C., Dabo-Niang, I-M, B.,Collard, D., Tarhan, M-C., Dabo-Niang, S (2024). Single cell classification for cancer cell identification.

  3. Dabo-Niang, S., El Ghini, A. and Yacour, S. (2023). Spatial-temporal analysis of impact of economic growth on the environment in Africa.

► Softwares (1)

  1. Frévent, C., Ahmed, M-S, Soula, J., Smida, Z., Cucala, L., Dabo-Niang, S., Genin, M. (2021). Multivariate and Functional Spatial Scan Statistics. R Package. HDSpatialScan

► Research projects

◉ Member of projects developed within the framework of the SIRIC Lille Nord de France.

  1. 2011 - 2015 : New risk factors for cancers of the upper aerodigestive tract in the Nord-Pas de Calais region.

Budget : 126.940 euros. Financing: CPER.

  1. 2011 - 2014 : Determinants of the consultation time in cancers of the upper digestive tract (DEREDIA).

Budget : 305.435 euros. Funding: National Cancer Institute.

◉ 2015 - 2017 : Principal Investigator (PI) “Determination of recurrence factors of digestive cancers”. Funding: SIRIC Lille Nord de France, University of Lille, Northern League Against Cancer.

Budget : 50.000 euros.

◉ 2011 - 2012 : Principal Investigator (PI) on the French side of the project “Study of hydrological variables in the framework of the analysis of functional data (EVHADF)”.

Total budget (French and Quebec): 23.264 euros. Funding: CPCFQ (Franco-Québécois Cooperation).

◉ 2009 - 2011 : Member of the project: “Dynamics of the Economy of Art and Culture (DEAC)”

Budget : 30.000 euros. Financing CPER.

◉ 2010 - 2012 : Member of the project: “Socio-economic mapping of live performance”.

Budget : 34.951 euros. Funding : Ministry of Culture.

◉ 2013 - 2015 : Principal Investigator (PI) on the French side of the project “Modeling and hydrological forecasting with functional approaches, the cases of Quebec and France (MPHAQF)”.

Total budget (French and Québécois) : 28.130 euros. Funding : CPCFQ (Franco-Québécois Cooperation).

◉ January 2015 : Member of the Simerge Project http: //mistis.inrialpes.fr/simerge/.

◉ 2018 - 2021 : Member of the project “Role of socioeconomic and environmental inequalities in gastroesophageal cancers”.

Total budget : 300.000 euros. Submitted.

◉ PI of the industrial project with the company “Semences de France”.

Budget : 9.114 euros.

◉ 2018 - 2021 : PI of the French side of the Franco-Marocco project on “Economic Growth and Environmental Impacts”. Funding : Moroccan and French governments.

Budget : 12.000 euros.

◉ 2019 - 2021 : Member of the project ” Role of socioeconomic and environmental inequalities in gastro- esophageal cancers”.

Budget : 300.000 euros.

◉ 2021 - 2023 : Co-PI of the project “Impact du contexte pand ́emique de COVID-19 sur les conduites suicidaires et leur prise en charge”.

Budget : 439.088 euros.

◉ 2021 - 2024 : PI of the project ” PATH (PArcours paTient en milieu Hospitalier)” between INRIA and CHU of Lille.

Budget : 150.000 euros.

◉ 2021 - 2022 : PI of the project ” Projet interactif de visualisation des indicateurs de suivi du SCoT de Lille Métropole”, 2021.

Budget : 12.825 euros.

◉ 2022 - 2024 : Co-PI of the ANR project CYTOMEMS “Smart MEMS Instrumentation for Biophysical flow Cytometry with Statistical Learning”.

Budget : 545.608 euros.

◉ 2024 - 2027 : Co-PI of INCA project “Role of calcium signaling in acute myeloid leukemia and the immunological synapse”.

Budget : 594.891 euros.

◉ 2024 - 2028 : Member of EN-HOPE SMART4CBT, SIRIC project “East North-Hematology Oncology PEdiatric consortium offering a research program of Social sciences, Microenvironment and multiomics Analyses in RadioTherapy resistance For Children Brain Tumors”.

Budget : 3.000 K-euros.

◉ 2023 - 2024 : PI of the PHC Ulysses project “Ireland and France Need Healthier Air for healthier Lungs-the Evidence”; between University College Dublin and University of Lille.

Budget : 5k euros.

◉ 2024 - 2025 : PI of the Programme Hubert Curien “Estimation with preliminary test, penalization in high dimension with applications”; between University Libre of Brussels and University of Lille.

Budget : 3k euros.

◉ 2024 - 2027 : PI of France-Afrique Network for Mathematics of Sustainable Planet Earth (FANE- MATH-PE).

Budget : 300k euros.

]]> https://sophiedabo.github.io/CV/innovation/Research/Research.html Sun, 11 Jan 2026 11:10:53 GMT https://sophiedabo.github.io/CV/innovation/Background/background.html

► Academic background

◉ 1996 : DEUG in mathematics from Gaston Berger University (Sénégal)

◉ 1997 : B.S in Applied Mathematics University Paris 5

◉ 1998 : B.S Applied Mathematics from Paris Descartes University

B.S MST ISASH (Master of Science and technology, Computer Science and Statistics Applied to Human Sciences), from University Paris 5

◉ 1999 : Master in Statistics from Paris 6 University (Pierre et Marie Curie)

◉ 2002 : PhD in Applied Mathematics, speciality Statistics, Pierre and Marie-Curie University (Paris 6), December 16, 2002.

Advisor : Denis Bosq. Funding : CREST (Research Center in Ecomomics and Statistics)-Paris

◉ 2009 : HDR (Tenure), University Charles De Gaulle University (Lille 3), November 25, 2009

► Responsabilities

◉ Vice-president of CIMPA (International Center for Pure and Applied Mathematics), January 2025-

◉ Chair of Mathematical Statistics theme of Encyclopedia of SCIENCES, December 2023- to present

◉ Member of Scientific Committee, ICMS (International Centre for Mathematical Sciences) Mathematics for Humanity, 2023-to present

◉ Chair of Career Development Committee of PASRC (Pan-African Scientific Research Council), 2021-.

◉ Vice-president of Executive Committee of PASRC (Pan-African Scientific Research Council), 2021-.

◉ Chair of EMS-CDC (European Mathematical Society, Committee for Developing Countries), 2019-2022.

◉ Member of the scientific committee of APSA (Association pour la promotion scientifique de l’Afrique) Award, 2019-.

◉ Member of the scientific committee of Ibni Oumar Mahamat Saleh (Association pour la promotion scientifique de l’Afrique) Award, 2019-.

◉ Co-responsible of the website of AFRIMATH (Afrique France Réseau International en Mathématiques), 2021-.

◉ Member of CIMPA (International Center for Pure and Applied Mathematics) : October 2016-

◉ Member of the EMS-CDC (European Mathematical Society, Committee for Developing Countries) : 2017-.

◉ Vice-Chair of EMS-CDC : 2018-2019.

◉ Member of Diversity committee of IMU (International Mathematical Union), 2020-

◉ Member of the executive committee of CIMPA : 2018-

◉ Member of the director committee of ONCOLILLE (multidisciplinary Cancer Research Center) : 2019-

◉ Head of the MéQAME axis at the LEM laboratory, UMR 9221, March 2015-2019

◉ Director of the EQUIPPE laboratory on Lille 3 : October 2010-March 2015

◉ Head of the MIASHS multi-disciplinary bachelor’s degree in Mathematics : 2009-2014

◉ Head of the MIASHS master’s degree, 2015-2023.

◉ Elected member of the board of the UFR MIME (Mathematics, Computer Science, Management and Economics) from 2005-2009, 2014-2019.

◉ Member of the Strategic Committee for International Relations of the University of Lille 3, 2010-2016.

◉ Member of the working group in charge of campus life at the University of Lille, when merging the three Lille universities (Lille 1, Lille 2 and Lille 3) in 2011. I was in charge of the improvement of the reception and accommodation of foreign students and teacherresearchers in Lille.

◉ Associate editor of Revista Colombiana de Estadistica, 2015-

◉ Associate editor of Journal of Statistical Modeling and Analytics, 2020-

◉ Associate editor of Journal of Nonparametrics Statistics, 2021-

◉ Associate editor of Afrika Matematika, 2023-

◉ Chair of Mathematical Statistics theme of Encyclopedia of SCIENCES, December 2023-

◉ Reviewer for journals : Statistical Inference for Stochastic Processes, Computational Statistics and Data Analysis, Statistics, Journal Afrika Statistika, Journal of Multivariate Analysis, Journal of Nonparametric statistics, Annales de l’ISUP, Electronic journal of statistics, Metika, Annals of Statistics, … .

◉ AERES (National French Universities Evaluation Agency) expert (2012-2013)

◉ HCERES (National French Universities Evaluation Agency) expert (evaluations 2019- 2020, 2020-2021, vagues A and B)

◉ Expert for evaluation of l’OREAL-UNESCO “Womens in Science” Awards, since 2014.

◉ I set up in 2014 a group “Mathematicians of the African diaspora” within the association “Women and Maths” (http ://www.femmes-et-maths.fr) of France in order to help African young people to access higher studies in sciences.

◉ I coordinated in 2010 (with the help of the international office of University Lille 3) the working group on the agreement between the three Lille universities (Lille 1, Lille 2 and Lille 3) and University Gaston Berger, Senegal.

◉ I have set up the project of a double master’s degree in Applied Mathematics and Computer Science between the University of Cheikh Anta Diop (Senegal) and University Lille 3. This diploma started in 2017.

◉ Member of the international ERCIM Computational and Methodological Statistics, Working Group

◉ Member of the international ERCIM specialized Team on Functional Data Analysis

◉ Member of IRN (International Research Network of CNRS) AFRIMath

◉ Member of the Biomathematics network 3MC

]]> https://sophiedabo.github.io/CV/innovation/Background/background.html Sun, 11 Jan 2026 11:10:53 GMT https://sophiedabo.github.io/CV/innovation/Teaching/Teaching.html My teaching activities at Lille 3 and university of Lille concern both theoretical and applied lectures (mathematical statistics, multivariate data analysis, analyses of Big Data, probability, spatial statistics, econometrics, software learning SAS, R, …) as well as supervision of master theses and follow-up of internships in companies. These lectures are given to all levels, ranging from from first year to PhD and are taught to students in applied mathematics and students in economics and management.

◉ Multivariate Statistics; third year of B.S MIASHS at Lille 3.

Program : Random Vectors, Gaussian Random Vectors,

Multivariate Data Analysis (PCA, CA, Classification), …

◉ Statistical softwares; second year of master MIASHS at Lille 3.

Program : descriptive statistics, linear regression, variance analysis, data analysis, multivariate Data analysis with R, SAS,…

◉ Spatial Statistics, master (second year) MIASHS.

Program : Introduction to spatial statistics, geo-statistics, spatial econometrics, …

◉ Non-parametric Statistics, master (second year) MIASHS

Program : Density and regression estimators by kernel, projection, splines,…

◉ Mathematics, first year of B.S MIASHS.

Program : Integration, function of one, two variables, …

◉ Econometrics, master (second year) economics.

Program : Risk Management, logit, probit models, …

]]> https://sophiedabo.github.io/CV/innovation/Teaching/Teaching.html Sun, 11 Jan 2026 11:10:53 GMT https://sophiedabo.github.io/CV/innovation/Supervision/Supervision.html

► Defended PhDs (20)

  1. 2021–2024: Khoo Tzung Hsuen — PhD co-supervised with Dharini Pathmanathan (Universiti Malaya, Malaysia). Global stock-market co-movement and portfolio optimization using functional data clustering. Two articles published; Postdoc at OncoLille, Lille (from May 2025).

  2. 2020–2024: Christelle Ogonkoui — PhD co-supervised with Freedath Moussa (IMSP, Benin). Biostatistical modeling and applications to oncology. IMU Breakout Fellowship; two articles published; Postdoc at Inria Lille.

  3. 2020–2023: Yoba Kandé — PhD under joint supervision (co-tutelle, 50%) with Patrice Brehmer (IRD, Senegal). Environmental spatial analyses using nonparametric functional approaches. Two articles published; Teaching and Research Fellow at Oniris, Nantes.

  4. 2020–2023: Issam Moindjé — INSERM–INRIA PhD, co-supervised (50%) with Cristian Preda, Fabrice Vallois and Mahdi Mahmoudzadeh. Functional data analysis for biomarker identification in EEG and MEG. Two articles published; Postdoc at UQAM, Montreal.

  5. 2021–2022: Camille Frévent — PhD co-supervised with Michael Genin and Mohamed Lemdani (Lille). Scan statistics for longitudinal spatial and survival data. Two articles published and one R package; Associate Professor (MCF) in Lille.

  6. 2018–2022: Salsabil Yacour — PhD co-supervised with Ahmed El Ghini (Morocco). Economic growth and environmental impacts: empirical evidence from Morocco. One article published.

  7. 2018–2021: Solange Doumun — PhD under joint supervision (co-tutelle, 50%) with Jérémie Zoueu (Côte d’Ivoire). Performance evaluation and development of multispectral image analysis strategies for rapid malaria diagnosis. Two articles published; Associate Professor (MCF) in Côte d’Ivoire.

  8. 2018–2021: Alaa Ali Hassan — PhD co-supervised with Dharini (Malaysia). Statistical modeling of large-scale spatial data and applications in health; Engineer in Quebec, Canada.

  9. 2020: Mamadou Ndiaye — PhD under joint supervision (co-tutelle, 50%) with Senegal. One article published in 2020; Researcher at ISFA, Senegal.

  10. 2019: Zied Gharbi — PhD under joint supervision (co-tutelle, 50%) with Tunisia. One article published; Teaching and Research Assistant (ATER) in Lyon.

  11. 2017: Mohamed-Salem Ahmed — PhD co-supervised (50%). Three articles published between 2017 and 2021; Researcher at Lille University Hospital (URL Metrics) and at Alicante company.

  12. 2017: Emad Drwesh — PhD co-supervised (50%). One article published; Data Scientist at ENERIS.

  13. 2016: Mohamed Yahaya — PhD co-supervised (50%), in collaboration with the University of the Comoros. One article published in 2016; Assistant Lecturer at the University of the Comoros.

  14. 2015: Aladji Bassene — PhD under joint supervision (co-tutelle, 50%) with Gaston Berger University (UGB), Senegal; Engineer at Capgemini, Lille.

  15. 2015: Stéphane Bouka — PhD under joint supervision (co-tutelle, 50%) with Gabon. Two articles published; Associate Professor (MCF) at the University of Franceville, Gabon.

  16. 2014: Leila Hamdad — PhD co-supervised (40%). Four articles published between 2014 and 2019; Professor at the National Higher School of Computer Science, Algeria.

  17. 2014: Camille Ternynck — PhD co-supervised (50%). Eight articles published; Research Engineer at Lille University Hospital (CHRU de Lille).

  18. 2012: Zoulikha Kaid — PhD under joint supervision (co-tutelle, 50%). Four articles published based on the thesis work between 2011 and 2015; Associate Professor (MCF) at the University of Sidi Bel Abbès, Algeria.

  19. 2015: Sidi Ali Ould Abdi — PhD co-supervised (50%). Four articles published based on the thesis work in 2010 and 2014; Associate Professor (MCF) at the Faculty of Science and Technology, University of Nouakchott, Mauritania.

  20. 2007–2010: Ahmedoune Ould Abdi — PhD co-supervised (50%). 4 articles published based on the thesis work between 2010 and 2014; Associate Professor (MCF) at the Higher School of Accounting and Business Administration and Coordinator of the Higher Education Quality Authority, Nouakchott, Mauritania.

► Current PhDs (3)

  1. 2025–: Cécile Verrier — PhD funded by the CNRS FANE-MATH-PE Chair, co-supervised with Vanessa Dehault (CANTHER) and Alexandre Poulain (LPP). Title: Mathematical modeling of the effect of senescence on cancer progression.

  2. 2024–: Léoncie Abizeyimana — PhD funded by the AIMS network in connection with the FANE-MATH-PE project, co-supervised with Patrick Tchepmo (NWU) and Meyling (Inserm, Lille). Title: Mathematical and AI/ML approaches in oncology.

  3. 2023–: Clara Dubois — CIFRE PhD co-supervised with Alexander Dujardin (Central Lille) and HORIBA. Title: Raman spectroscopy and artificial intelligence for chemical synthesis.

► PhD referee (36)

  1. September, 6, 2019 : Referee and Jury member of Josephine M. Erhi B Leik’s thesis in the University of Compiegne

  2. September, 18, 2019 : Referee and Jury member of Djihad Benelmadani’s thesis in the University of Grenoble

  3. September, 11, 2019 : Jury member of Aya Dadouki’s thesis in the University of Lille

  4. September, 10, 2019 : Jury member of Maxime Baelde’s thesis

  5. June, 7, 2019 : Referee and jury member of the Badiassiatta theater Don Bosco Diatta

  6. June, 3, 2019 : President of the jury of Annabelle Glaize’s thesis in the University of Lille

  7. June, 6, 2019 : Referee and member of Younes Ousmane’s thesis in Caddi Ayad University

  8. May, 21, 2019 : President of the jury of Hajer Khlai fi’s thesis in the University of Compiegne

  9. December 11, 2018 : Referee and jury member of Papa Ousmane Cissa’s thesis in the University of Paris 1 and Gaston Bergr (Senegal)

  10. December, 6, 2017 : Referee and member of Larbi Ait Hennani’s HDR in the University of the Littoral coute-d’opale

  11. Ocotber, 28, 2017 (Gabon) : President of the jury of Alban Mbinan Mbina’s thesis in the University of FranceVille (Gabon) and in the University of Lille 1

  12. September, 5, 2017 : Referee and jury member of Rim Ben Elouefi’s thesis in the INSA of Rennes

  13. March, 13, 2017 : Member of the jury of Hiba Alawieh’s thesis in the University of Lille 1, March 13, 2017

  14. May, 27, 2016 : Referee and jury member of Martha Patricia Bohorquez Castaneda’s thesis in the Public University of Bogotà

  15. March, 13, 2016 : Referee of Sonia Griche’s HDR in the University of Setif

  16. May, 10, 2016 : Referee and jury member of Giuliana Galli Carminati’s thesis in Grenoble

  17. March, 18, 2016 : Referee and jury member of Youssou Ciss’s thesis in Senegal, University Gaston Berger

  18. Janurary, 19, 2016 : Jury member of the thesis of Zahraa Salloum in the University of Lyon 2

  19. December, 17, 2015 : Referee of the HDR of Said Attoui in the University of Oran

  20. May 2015 : Referee and jury memeber of the thesis of Mostafe Tahmasebiin the University of Grenoble

  21. December, 8, 2015 : Referee and jury member of Abdoulaye Faye’s thesis in Clermont-Ferrand, Blaise Pascal University

  22. November, 16, 2015 : Referee and jury member of Sobom’s thesis Matthieu Somé in University Franche Comté

  23. October, 1, 2015 : President of the jury of Hassan Maatouk’s thesis in Ecole des Mines de St-Etienne

  24. December 2014 : Referee and jury member of Abdourahmane Diallo’s thesis in France, Marseille

  25. April 2014 : Referee and jury member of Tamaro Johng-Ay’s thesis in France, Pau

  26. March 2014 : Referee of the thesis of Mohamed Badaoui in Morocco, Oujda

  27. December 2013 : Referee and jury member of Van Ly Tran’s thesis in France, Orleans

  28. June 2013 : Referee and jury member of Ibrahim Sidi Zakari’s thesis in Morocco, Marrakech

  29. May 2013 : Referee and jury member of Karima Kimouche’s thesis in Algeria, Constantine

  30. March 2013 : Referee and jury member of Aubin N’Dri’s thesis in Côte d’ivoire, Abidjan

  31. November 2012 : President of the jury of the thesis of Ada Diop in France, La Rochelle

  32. November 2012 : Referee and jury member of Julie Mintsa Mi Ondo’s thesis in France, Grenoble

  33. March, 23, 2010 : Referee and member of the jury of the thesis of Abdallah Bacar ELAMINE in France, Montpellier

  34. Mai 2009 : Referee of the thesis of Amine Niang in Senegal

  35. March 2009 : Referee and jury member of Claudie banlieu’s in Canada, Quebec

  36. Janurary 2007 : Referee and jury member of Jorge Barriento’s thesis in Spain, Alicante

► HDR garant (2)

  1. October 2018: HDR guarantor for Amir Aboubacar.

  2. June 10, 2021: HDR guarantor for Stefano Nasini.

► Co-supervision (14)

  1. Alaa Ali Ayad (2018-2021). Title: Statistical modeling of large spatial data and its applications in health. Defended on the 4th of December, 2021.

  2. Solange Doumun (2018-2021). Title: Performance evaluation and contribution to the development of multispectral image analysis strategies for aid in the automatic and rapid diagnosis of malaria. Defended on the 9th of July, 2021.

  3. Mamadou Ndiaye (2015-2020). Title: Contributions to modelisation of spatial functional ata. Applications. Defended on the 26th of November, 2020.

  4. Zied Gharbi (2015-2019). Title : Contribution to econometrics patial modeling. Defended on the 24th of June, 2019. Universities of Tunis and Lille.

  5. Mohamed-Salem Ahmed (2014-2017). Title : Contribution to spatial statistics and the analysis of functional data. Defended on 12th of December 2017. University of Lille

  6. Emad Drwesh (2012-2017). Title : Spatial statistics in discrete-choice models, application to UADT cancers in northern France. Defended on the 11th of December 2017. University of Lille.

  7. Mohamed Yahaya (2012-2016). Title : Sequential methods and their applications to the prediction of spatial data. Defended on the 15th of December 2016. Universities of Comoros and Lille 3.

  8. Aladji Bassene (2011-2016). Title : Contribution to spatial modeling of extreme events. Defended on May 6, 2016. Universities Gaston Berger, Senegal and Lille 3.

  9. Stephane Bouka (2012-2015). Title : Modeling Spatially Dependent Data : Tests and Regression Models. Defended on December 21, 2015. Universities Lille 3 and FranceVille (Gabon)

  10. Hamdad Leila (2010-2014). Title : Functional estimation of density and regression of linear processes with weakly mixing innovations. Defended on 09 of December 2014. Public School of Computer sciences, Algeria

  11. Camille Ternynck (2011-2014). Title : Space-functional modeling and applications. De- fended on November 25, 2014. University Lille 3

  12. Kaid Zoulikha (2009-2012). Title : On nonparametric estimation of conditional mode for spatially dependent functional variables. Defended on December 09, 2012. Universities Lille 3 (France) and Sidi Bel Abbes, Algeria.

  13. Ahmedoune Ould Abdi (2007-2010). Title : Non-parametric spatial prevision via condi- tional mode. Defended on July 26, 2010. University Gaston Berger, Senegal

  14. Sidi Ali Ould Abdi (2007-2010). Title : Contribution to non-parametric estimate of conditional quantiles in a spatial context. Defended on July 24, 2010. University Gaston Berger, Senegal

]]> https://sophiedabo.github.io/CV/innovation/Supervision/Supervision.html Sun, 11 Jan 2026 11:10:53 GMT