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

Professional Vita



Journals

PUBLISHED PAPERS

  

  1. 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).                                                
  2. Ngo, L. H., Luong, M., Sirakov, N.M. et al. Skin lesion image classification using sparse representation in quaternion wavelet domain. SIViP (2022), IF 2.157, 2020 SCR.https://doi.org/10.1007/s11760-021-02112-z , (2022).                                                                                                          
  3. M. Akar, N. M. Sirakov, M. Mete, Multivectors And Clifford Algebra Kernels For Support Vector Machine Melanoma Classification, under review by Mathematical Methods in the Applied Sciences, Publisher Wiley and Sons, IF 2.3, 22 December 2021, https://doi.org/10.1002/mma.8034,                
  4. 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, SCR, 63:665–680, 2021  https://rdcu.be/cflaI.   (2021)                                                                                     Scientific Ranking of the JMIV –https://www.scijournal.org/impact-factor-of-j-math-imaging-vis.shtml;   https://www.scimagojr.com/journalrank.php?category=1707&page=2&total_size=610;     https://www.scimagojr.com/journalrank.php?category=1707&type=j&year=2019                                     
  5. 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                                                                                          
  6. 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, https://link.springer.com/article/10.21136/AM.2019.0292-18#citeas, https://rdcu.be/b7SgN, (2019)                                                          
  7. 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                                       
  8. Abdullah N. Arslana, Christian F. Hempelmannb, Salvatore Attardoc, Grady Price, Blountd Nikolay Metodiev Sirakov, 2015, "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.     
  9. 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-http://link.springer.com/article/10.1007/s10472-014-9424-8                                                                                                                                   
  10. Quang Tung Thieu, Marie Luong, Jean-Marie Rocchisani, Nikolay Sirakov, Emanuelle Viennet, 2015, 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.                     
  11. P. Kandhare, A. Arslan, N.M. Sirakov, 2014, 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. http://ma.fme.vutbr.cz/                       
  12. M. Mete, N.M. Sirakov, 2012, “Dermoscopic Diagnosis Of Melanoma In A 4d Feature Space Constructed By Active Contour Extracted Features”, Computerized Medical Imaging and Graphics 36 (7) 572– 579, 2012 IF 1.467 http://dx.doi.org/10.1016/j.compmedimag.2012.06.002                        
  13. 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.                                                                                                                           
  14. M. Mete, N.M.Sirakov, 2010, “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; http://www.biomedcentral.com/1471-2105/11/S6/S23          
  15. Sirakov, N.M., 2006. 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, JCR 2008, published by Thomson Scientific, Section "Mathematics, applied": Rank 29 of 165.                                                                                                                                                                
  16. Sirakov, N.M., 2006, Heat Equation to 3D Image Segmentation, Journal of Systemics, Cybernetics and Informatics, December, 2006, Vol.4, No2., pp.15-21. http://www.iiisci.org/Journal/SCI/Contents.asp?var=&Previous=ISS9483                                                                                                  
  17. 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.                                                                                                                 
  18. Sirakov, N.M., Muge, F., 2001. 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.                                                                                                                                                      
  19. Grozdev, S., Sirakov, N., 1993. 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.                                                                                                                                                
  20. Cupic R., Sirakov N., Trebaticky I., 1991. 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.

Under Review:

O. D. Igbasanmi, N. M. Sirakov, Vector Fields with Complex and Real Singular Points Under Rotation and Scaling, Annals of Mathematics and Artificial Intelligence, Springer, IF 0.789, submitted on January 19, 2022.

P.G.Kandhare, A.Nakhmani, N.M.Sirakov, Deep learning for location prediction on noisy trajecto- ries, Pattern Analysis and Applications -Springer, IF 2.58. Submitted 2nd review January 12, 2022.

N. M. Sirakov, A. Bowden, M. Chen, L.H. Ngo, M. Luong, "Poisson Gradient Vector Fields Features for Efficient Image Classification,” Journal of Mathematical Imaging and Vision – Springer, IF 2.176 2019, under review since October 06, 2021.

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