Profile photo of Dr. Nikolay M. Sirakov

Dr. Nikolay M. Sirakov

Professor

Department of Mathematics and Computer Science

Office Location: Binnion 322

Phone: 903-886-5943

Email: Nikolay.Sirakov@tamuc.edu



Journals

PUBLISHED PAPERS

  1. Nikolay Metodiev Sirakov, Tahsin Shahnewaz, Arie Nakhmani, Training Data Augmentation with Data Distilled by the Principal Component Analysis. Electronics 2024, IF 2.9 JCR 2022, 13(2), 282; https://doi.org/10.3390/electronics13020282

  2. N.M. Sirakov, A. Bowden, M. Chen, L.H. Ngo, M. Luong, Embedding vector field into image features to enhance classification, Journal of Computational and Applied Mathematics, IF 2.4 JCR 2022, Volume 441, 2024, 115685, ISSN 0377-0427, https://doi.org/10.1016/j.cam.2023.115685 ;https://www.sciencedirect.com/science/article/pii/S0377042723006283.

  3. P. G. Kandharea, N. Ambalavanan, C. P. Travers, W. A. Carlo, N. M. Sirakov, A. Nakhmani,  Comparison Metrics for Multi-Step Biomedical Signal Prediction, journal of Biomedical Signal Processing and Control, Elsevier, IF 5.86, Elsevier. Volume 80, Part 2,  104371, ISSN 1746-8094, https://doi.org/10.1016/j.bspc.2022.104371,  Available at  SSRN: https://ssrn.com/abstract=4040757P, (2023).

  4. G. Kandhare, A. Nakhmani, N. M. Sirakov, Deep learning for location prediction on noisy trajectories, Pattern Analysis and  Applications, Springer, IF 2.307 JCR 2021,  26, 107–122, https://doi.org/10.1007/s10044-022-01095-y , (2023).

  5. L. H. Ngo, N. M. Sirakov, M. Luong, E. Viennet and T. Le-Tien, "Image Classification Based on Sparse Representation in the Quaternion Wavelet Domain," in IEEE Access, vol. 10, pp. 31548-31560, (2022), IF 3.367, SCR 2020. doi:10.1109/ACCESS.2022.315970, (2022).                                                

  6. Ngo, L. H., Luong, M., Sirakov, N.M. et al. Skin lesion image classification using sparse representation in quaternion wavelet domain. Signal, Image and Video Processing - Springer, IF 2.3  JCR 2022, 16, 1721–1729,  https://doi.org/10.1007/s11760-021-02112-z , (2022). 

  7. Mutlu Akar, Nikolay M. Sirakov, Mutlu Mete, Clifford algebra multivectors and kernels for melanoma classification, Mathematical Methods in the Applied Sciences, 2022; 45:4056–4068. Publisher Wiley and Sons, IF 2.3, 2020 SCR, https://doi.org/10.1002/mma.8034, (2022).           

  8. A. Bowden, N.M. Sirakov, Active Contour Directed by the Poisson Gradient Vector Field and Edge Tracking, Journal of Mathematical Imaging and Vision – Springer, IF 1.76, JCR 2020, 63:665–680, 2021  https://rdcu.be/cflaI.   (2021).                                 

  9. Astudillo, N.M., Bolman, R. & Sirakov, N.M. Classification with Stochastic Learning Methods and Convolutional Neural Networks. Journal Springer Nature Computer Science. 1, 119 (2020).https://doi.org/10.1007/s42979-020-00126-x                                                                                     

  10. M. Akar, N.M.Sirakov, 2019,, Support Vector Machine Skin Lesion Classification in Clifford Algebra Subspaces, Appl. Math (2019) 64: 581. https://doi.org/10.21136/AM.2019.0292-18, Springer-Institute of Mathematics - Czech Academy of Sciences, IF 0.537, 2018 SCI expanded, (2019).   https://link.springer.com/article/10.21136/AM.2019.0292-18#citeas, https://rdcu.be/b7SgN,(2019).                                                         

  11. A. Bowden, N. M. Sirakov, 2016, Applications of The Euler – Lagrange Poisson Active Contour in Vector Fields, Overcoming Noise, and Line Integrals, J. Dynamics of Continuous, Discrete & Impulsive Systems. Series B: Applications & Algorithms, Watam Press, 23 (2016) 59-73 .                                      

  12. Abdullah N. Arslana, Christian F. Hempelmannb, Salvatore Attardoc, Grady Price, Blountd, Nikolay Metodiev Sirakov,  "Threat assessment using visual hierarchy and conceptual firearms ontology," Opt. Eng., 54(5), 053109 (2015). doi:10.1117/1.OE.54.5.053109. IF 0.87, JCR, April 06, (2015).     

  13. N. M. Sirakov, Y. Ou, M. Mete, 2015, Skin Lesion Feature Vectors Classification in Models of a Riemannian Manifold, Annals of Mathematics and Artificial Intelligence: Volume 75, Issue 1 (2015), Page 217-229, IF 0.488, DOI: 10.1007/s10472-014-9424, (2015).-http://link.springer.com/article/10.1007/s10472-014-9424-8                                                                                                                                   

  14. Quang Tung Thieu, Marie Luong, Jean-Marie Rocchisani, Nikolay M. Sirakov, Emanuelle Viennet, Efficient Segmentation with the Convex Local-Global Fuzzy Gaussian Distribution Active Contour for Medical Applications, Journal Annals of Mathematics and Artificial Intelligence-Springer, IF 0.488, DOI 10.1007/s10472-014-9413-y, Published on-line May 15, (2014), http://link.springer.com/article/10.1007/s10472-014-9413-y.                     

  15. P. Kandhare, A. Arslan, N.M. Sirakov, Tracking Partially Occluded Objects with Centripetal Active Contour, Mathematics for Applications, 3 (2014), 1-15, ISSN 1805-3610, ISBN:80-214-020-X, DOI: 10.13164/ma.2014.05, indexed by MathSciNet, Zentralblatt. (2014). http://ma.fme.vutbr.cz/                       

  16. M. Mete, N.M. Sirakov, “Dermoscopic Diagnosis Of Melanoma In A 4d Feature Space Constructed By Active Contour Extracted Features”, Computerized Medical Imaging and Graphics 36 (7) 572– 579, IF 1.467, (2012). http://dx.doi.org/10.1016/j.compmedimag.2012.06.002                        

  17. N.M.Sirakov, S. Suh, S.Attardo, 2011, “Automatic Object Identification Using Visual Low Level Feature Extraction and Ontological Knowledge”, Journal of Integrated Design & Process Science, Vol. 14, No. 2, Nov. (2010).                                                                                                                           

  18. M. Mete, N.M.Sirakov,  “Lesion Detection In Dermoscopy Images with novel density-based and active contour approaches”, BMC Bioinformatics 2010, 11(Suppl 6):S23, October 07, 2010. IF -3.43. doi:10.1186/1471-2105-11-S6-S23, (2010). http://www.biomedcentral.com/1471-2105/11/S6/S23          

  19. Sirakov, N.M., A New Active Convex Hull Model For Image Regions, Journal of Mathematical Imaging and Vision, Vol.26, Num 3, pp:309-325, December 2006. http://dx.doi.org/10.1007/s10851-006-9004-6, IF: 2007: 1.331, (2006), published by Thomson Scientific, Section "Mathematics, applied": Rank 29 of 165.                                                                                                                   

  20. Sirakov, N.M., Heat Equation to 3D Image Segmentation, Journal of Systemics, Cybernetics and Informatics, December, 2006, Vol.4, No2., pp.15-21, (2006).  http://www.iiisci.org/Journal/SCI/Contents.asp?var=&Previous=ISS9483                                                                                                  

  21. Sirakov, N.M., Granado, I., Muge, F., 2002. Interpolation Approach for 3D Smooth Reconstruction and Visualization of Subsurface Objects. International Journal Computers & Geosciences, Vol.28, Issue 8, pp 877-885. IF: 0.893. (2002).                                                                                                            

  22. Sirakov, N.M., Muge, F., A system for reconstructing and visualizing three-dimensional objects. International Journal Computers & Geosciences, Volume 27, Issue 1, pp.59-69. Impact Factor: 0.893, JCR, (2001).                                                                                                                                                     

  23. Grozdev, S., Sirakov, N., Combinatorial Approach to plane Figure Modeling, Journal of Theoretical and Applied Mechanics, Year XXIV, N0 3, Printed by Bulgarian Academy of Sciences, Sofia, pp.36-44.  (1993).                                                                                                                                              

  24. Cupic R., Sirakov N., Trebaticky I.,  Parallel processing of 3D information by help of systolic system. Spatial issue of the Journal Cybernetics and Informatics, Published by Slovak Academy of Sciences, April 4-7, pp. 43-48, (1991).

Under Review

  1. Oluwaseyi Dotum Igbasanmy, Nikolay Metodiev Sirakov, On the Usefulness of the Vector Field Singular Points Shapes for Classification, International Journal of Applied and Computational Mathematics, Springer,  under review since September 13, 2023,    DOI: https://doi.org/10.21203/rs.3.rs-2862010/v1

Disclaimer: This site may contain links to web sites not administered by A&M-Commerce or one of its divisions, departments, units or programs. A&M-Commerce is not responsible or liable for the accuracy or the content of the linked pages.

Valid XHTML 1.0 Transitional Valid CSS!