SCHOOL OF BUSINESS,
TECNOLOGY AND EDUCATION
ILIA STATE UNIVERSITY

Direction:Computer Science
Position:Associate Professor





I’ve defended my PhD Thesis at UAB (Universidad Autónoma de Barcelona) in Experimental Particle Physics (HEP) and worked on ATLAS data analysis of the Large Hadron Collider (LHC). In 2017 the thesis received the Springer Theses Award and was published in the book series: “Springer Theses: Recognizing Outstanding PhD Research”.

 

Scientific interests / research interests

Machine learning and artificial intelligence, mathematical modeling and computational mathematics, detector physics, high energy physics, training and development technologies

⦁ Featured publications
[1] On behalf of the ATLAS Collaboration, S. Tsiskaridze, Search for flavour-changing neutral current top quark decays in collisions at TeV with the ATLAS detector, PoS(TOP2015)30 (Proceedings of Science, TOP2015). http://pos.sissa.it/cgi-bin/reader/contribution.cgi?id=257/030.
[2] ATLAS IBL Collaboration, J. Albert et al., Prototype ATLAS IBL Modules using the FE-I4A Front-End Readout Chip, JINST 7 (2012) P11010, arXiv:1209.1906 [physics.ins-det].
[3] S. Grinstein and S. Tsiskaridze, Beam Test Results of the CNM 3D Devices for the ALTAS-IBL Detector, Tech. Rep. ATL-COM-INDET-2012-010, CERN, Geneva, Feb, 2012. https://cds.cern.ch/record/1423634.
[4] V. Bobkov, T. Kozubskaya, S. Tsiskaridze, and D. Zvenkov, On Locally Refined Mesh Processing for Parallel CFD, International Conference NUMGRID2008 (Moscow 2008).
⦁ Books
[1] S. Tsiskaridze, Search for flavour-changing neutral current top quark decays in collisions at TeV with the ATLAS detector, Springer Theses, Springer, 2017.
⦁ Articles in magazines
[1] ATLAS Collaboration, G. Aad et al., Search for flavour-changing neutral current top quark decays in collisions at with the ATLAS detector, JHEP 12 (2015) 061, arXiv:1509.06047 [hep-ex

Current Courses

Course Catalog

  • Probability and Statistics (ENG);
  • Computational and Statistical Methods (ENG);
  • Master’s Thesis (Software Engineering);
  • Elements of Computational Complexity (ENG);
  • Computational and Statistical Methods (ENG);
  • Data Analysis Using Python

⦁ Artificial Inteligence,
Bachelor’s Level, Spring Semester 2019/2020.
⦁ Object Oriented Programming,
Bachelor’s Level, Spring Semester 2019/2020