Dr. Alexander V. Tuzikov

Head of the Laboratory of Mathematical Cybernetics of the United Institute of Informatics Problems of the National Academy of Sciences of Belarus, Belarus State Prize Laureate (2002), senior IEEE member (http://www.ieee.org/index.html) and IAPR member (International Association of Patter Recognition, http://www.iapr.org/), Belarus representative in IAPR.

tuzikov@newman.bas-net.by

telephone number +375 (17) 270 21 40

Alexander V. Tuzikov graduated from the Belarus State University (Minsk, 1980), received the candidate of physics-mathematical sciences degree of Institute of Mathematics (1985) and doctor of physics-mathematical sciences degree of the Institute of Engineering Cybernetics of the National Academy of Sciences of Belarus (2000), Professor (2005), Corresponding Member of the National Academy of Sciences of Belarus (2014). His research subjects include bioinformatics, computational biology, image processing and analysis, medical imaging, mathematical morphology, remote sensing, discrete applied mathematics.

He is an author of more than 390 publications in these fields.

Education:

  • Doctor of physic-mathematical sciences, 2000, Institute of Engineering Cybernetics, National Academy of Sciences of Belarus, Professor (2005)

  • Candidate of physic-mathematical sciences, 1985, Institute of Mathematics (Ph.D. equivalent, 1985, National Academy of Sciences of Belarus

  • Doctorate study, 1990-1993, Institute of Engineering Cybernetics, National Academy of Sciences of Belarus.

  • Postgraduate study, 1980-1983, Institute of Engineering Cybernetics, National Academy of Sciences of Belarus.

  • University diploma, Belarus State University, 1975-1980.

Positions held:

1983-1997: Junior, Senior Researcher, Institute of Engineering Cybernetics, Minsk, Belarus (IEC),

1997-2003: Senior, Leading, Principal Researcher, National Center of Information Resources and Technologies, Minsk, Belarus,

2003-2009 Deputy General Director, United Institute of Informatics Problems (former IEC), Minsk, Belarus,

Jan. 15, 2009-2022: General Director, United Institute of Informatics Problems

2001-: Full Professor (part-time), Department of Applied Mathematics and Informatics, Belarus State University, Minsk, Belarus

Research directions now:

Bioinformatics, Computational biology, Computer-aided drug design, Medical image processing (Ultrasound, CT, MRI), Image analysis and recognition, Stereo imaging, Remote Sensing, Mathematical morphology.

Awards, memberships:

  • National Academy of Sciences Prize (2017).

  • Belarus State Prize in Science and Technology (2002).

  • Belarus Komsomol Prize (1990).

  • IAPR member (International Association of Pattern Recognition); Belarus representative in IAPR.

Books:

  1. T. Huang, J. Lv, C. Sun, A.V. Tuzikov (Eds). Advances in Neural Networks–ISNN 2018: 15th International Symposium on Neural Networks, ISNN 2018, Minsk, Belarus, June 25–28, 2018, Proceedings, Lecture Notes in Computer Science, vol. 10878, 872p.

In Russian:

  1. Andrianov, I.A. Kashyn, A.V. Tuzikov. New HIV inhibitors development by molecular modeling. Lambert Academic Publishing, 2018

  2. A.M. Andrianov, Y.V. Kornoushenko, A.V. Tuzikov, M.A. Kisel. In silico design and synthesis of new HIV inhibitors based on glycolipids. Lambert Academic Publishing, 2017, 118p.

  3. A.V. Tuzikov, S.A. Sheynin, D.V. Zhuk. Mathematical morphology, moments, stereo image processing. Selected chapters of digital image processing and analysis. Belarus Science, Minsk, 2006, 198p.

Selected Papers:

  1. Alexander M. Andrianov, Grigory I. Nikolaev, Yuri V. Kornoushenko, Wei Xu, Shibo Jiang, Alexander V. Tuzikov. In Silico Identification of Novel Aromatic Compounds as Potential HIV-1 Entry Inhibitors Mimicking Cellular Receptor CD4. Viruses, 11(8), 2019, 21p. https://doi.org/10.3390/v11080746 (IF 3,811)

  2. R.S. Sergeev, I.S. Kavaliou, U.V. Sataneuski, A. Gabrielian, A. Rosenthal, M. Tartakovsky, A.V. Tuzikov. Genome-wide Analysis of MDR and XDR Tuberculosis from Belarus: Machine-learning Approach. IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 16

  3. Anna Hadarovich, Ivan Anishchenko, Alexander V. Tuzikov, Petras J. Kundrotas, Ilya A. Vakser. Gene ontology improves template selection in comparative protein docking. Proteins: Structure, Function, Bioinformatics, vol. 87, n. 3, 2019, 245-253. DOI: 10.1002/prot.25645 (IF 2,274).

  4. A.M. Andrianov, I.A. Kashyn, A.V. Tuzikov. Potential HIV-1 fusion inhibitors mimicking gp41-specific broadly neutralizing antibody 10E8: in silico discovery and prediction of antiviral potency. Journal of Bioinformatics and Computational Biology, vol. 16, n. 2, 2018.

  5. Alex Rosenthal, Andrei Gabrielian, Eric Engle, etc. The TB Portals: an Open-Access, Web-Based Platform for Global Drug-Resistant-Tuberculosis Data Sharing and Analysis. Journal of Clinical Microbiology, vol. 77, n. 1, 2017, 3261-3282.

  6. Alexander M. Andrianov, Ivan A. Kashyn, Alexander V. Tuzikov. Computational identification of novel entry inhibitor scaffolds mimicking primary receptor CD4 of HIV-1 gp120, Journal of Molecular Modeling, vol. 23, n. 1, 2017.

  7. Tatsiana Kirys, Anatoly M. Ruvinsky, Deepak Singla, Alexander V. Tuzikov, Petras J. Kundrotas, Ilya A. Vakser. Simulated unbound structures for benchmarking in protein docking in Dockground resource. BMC Bioinformatics, 16:243, 2015.

  8. Ivan Anishchenko, Petras J. Kundrotas, Alexander V. Tuzikov, Ilya A. Vakser. Protein models docking benchmark 2. Proteins: Structure, Function, Bioinformatics, vol. 83, n. 5, 2015, 291-297.

  9. Ivan Anishchenko, Petras J. Kundrotas, Alexander V. Tuzikov, Ilya A. Vakser. Protein models: The grand challenge of protein docking. Proteins: Structure, Function, Bioinformatics, vol. 82, n. 2, 2014, 278-287.

  10. A.M. Andrianov, Y.V. Kornoushenko, I.V. Anishchenko, V.F. Eremin, A.V. Tuzikov. Structural Analysis of the Envelope GP120 V3 Loop for Some HIV-1 Variants Circulating in the Countries of Eastern Europe. Journal of Biomolecular Structure and Dynamics, vol. 31, n 7, 2013.

  11. T. Kirys, A.M. Ruvinsky, A.V. Tuzikov, I.A. Vakser. Correlation analysis of the side-chains conformational distributions in bound and unbound proteins, BMC Bioinformatics, 13:236, 2012.

  12. A.M. Ruvinsky, T. Kirys, A.V. Tuzikov, I.A. Vakser. Side-Chain Conformational Changes upon Protein-Protein Association. Journal of Molecular Biology, 2011, vol. 408, n. 2, 356-365.

  13. A.M. Andrianov, I. Anishchenko, and A.V. Tuzikov. Discovery of Novel Promising Targets for Anti-AIDS Drug Developments by Computer Modeling: Application to the HIV-1 gp120 V3 Loop. J. Chem. Inf. Model., 51 (10), 2011, 2760–2767.

  14. V. Hancharenka, A. Tuzikov, V. Arkhipau, A. Kryvanos. Preoperative planning of pelvic and lower limbs surgery by CT image processing. Pattern Recognition and Image Analysis, vol. 19, N 1, 2009, 109-113.

  15. D. Sanko, A. Tuzikov. The Description and Visualization of Vascular Tree from 3D MR Brain Angiography Images. Pattern Recognition and Image Analysis, vol. 16, N 1, 2006, 54-57.

  16. E.V. Snezhko, A.V. Tuzikov. External Force Generation for Object Segmentation on 3D Ultrasound Images Using Simplex Meshes. Pattern Recognition and Image Analysis, vol. 16, N 1, 2006, 89-92.

  17. V. Goncharenko, A. Tuzikov. Watershed Segmentation with Chamfer Metric. Lecture Notes in Computer Science, vol. 4245, 2006, 518-529.

  18. A.L. Bogush, A.V. Tuzikov. 3D Object Volume Measurement Using Freehand Ultrasound, 14th Scandinavian Conference on Image Analysis, 19-22 June 2005, Joensuu, Finland; Lecture Notes in Computer Science, vol. 3544, 2005, 1066 – 1075

  19. O. Colliot, A.V. Tuzikov, R.M. Cesar, I. Bloch. Approximate reflectional symmetries of fuzzy objects with an application in model-based object recognition. Fuzzy Sets and Systems, vol. 147, N 1, 141-163, 2004.

  20. A.V. Tuzikov, S.A. Sheynin, P.V. Vasiliev. Computation of volume and surface body moments. Pattern Recognition, vol. 36, N 11, 2003, 2521-2529.

  21. S.A. Sheynin, A.V. Tuzikov. Moment computation for objects with spline curve boundary. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, N 10, 2003, 1317-1322.

  22. A.V. Tuzikov, O. Colliot, I. Bloch. Evaluation of the symmetry plane in 3D MR brain images. Pattern Recognition Letters, vol. 24, N 14, 2003, 2219--2233.

  23. S.A. Sheynin, A.V. Tuzikov, P.V. Vasiliev. Volume computation from non-parallel cross-section measurements. Pattern Recognition and Image Analysis, no.1, vol.13, 2003, p. 174-176.

  24. A. Tuzikov, J. B.T.M. Roerdink and H. J. A. M. Heijmans. Similarity measures for convex polyhedra based on Minkowski addition, Pattern Recognition, v. 33, N 6, 2000, 979--995.

  25. H. J. A. M. Heijmans and A. Tuzikov. Similarity and symmetry measures for convex shapes using Minkowski addition. IEEE Transactions on PAMI, v. 20, N 9, 1998, 980 -- 993.

  26. A. Tuzikov and H. J. A. M. Heijmans. Minkowski decomposition of convex polygons into their symmetric and asymmetric parts. Pattern Recognition Letters, v. 19, N 3-4, 1998, 247--254.

  27. A. Tuzikov, M. Makhaniok, R. Maenner. Bicriterion scheduling of identical processing time jobs by uniform processors. Computers & Operations Research, v. 25, N 1, 1998, 31--35.

  28. A.V. Tuzikov, G.L. Margolin, and A.I. Grenov. Convex set symmetry measurement via Minkowski addition. Journal of Mathematical Imaging and Vision, vol. 7, 1997, 53--68.