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IPDSS Staff

Rossen Mikhov

Office address: "Acad. G. Bonchev" St., bl. 2, Sofia - 1113, Bulgaria
Office phone: (+ 359 2) 979 32 10
E-mail: rossen.mikhov{at}iict.bas.bg

Scientific area

     Theory of progamming languages

Languages

     Bulgarian, Japanese, English, Russian

Education

     2007–2009 M.Sci. in Mathematics and mathematical analysis, Graduate School of Science, Kyoto University, Japan

Selected Papers

  1. Ch. Kondoff, Pl. Tashev, V. Dykova, M. Kolev, L. Kirilov, R. Mikhov (2024). Tribological characteristics of composites based on A6061 and Zn prepared by Friction Stir Processing. Journal of the Balkan Tribological Association, vol. 30(6), pp. 935–944. ISSN: 1310-4772 (link).
  2. Ch. Kondoff, R. Mikhov, L. Kirilov, R. Zaekova, Pl. Tashev (2024). Working regimes for Friction Stir Processing of aluminium alloy A6061. In: Environment. Technologies. Resources. Proceedings of the International Scientific and Practical Conference: ETR 2023, vol. 3, pp. 139–144. DOI: 10.17770/etr2023vol3.7235.
  3. V. S. Myasnichenko, D. N. Sokolov, N. Y. Sdobnyakov, P. M. Ershov, N. I. Nepsha, A. D. Veselov, S. A. Veresov, R. Mikhov, L. Kirilov (2023). Adaptation of the Monte-Carlo method for modeling layer-by-layer growth of clusters and nanoalloys. St. Petersburg Polytechnical University Journal: Physics and Mathematics, vol. 16(1.1), pp. 225–230. DOI: 10.18721/JPM.161.138.
  4. P. Matrenin, V. Myasnichenko, N. Sdobnyakov, D. Sokolov, S. Fidanova, L. Kirilov, R. Mikhov (2021). Generalized swarm intelligence algorithms with domain-specific heuristics. IAES International Journal of Artificial Intelligence, vol. 10(1), pp. 157–165. DOI: 10.11591/ijai.v10.i1.pp157-165.
  5. R. Mikhov, V. Myasnichenko, L. Kirilov, N. Sdobnyakov, P. Matrenin, D. Sokolov, S. Fidanova (2022). On the problem of bimetallic nanostructures optimization: an extended two-stage Monte Carlo approach. In: Recent Advances in Computational Optimization: WCO 2020 (S. Fidanova, ed.), pp. 235–250. Studies in Computational Intelligence, vol. 986. Springer International Publishing, Cham. DOI: 10.1007/978-3-030-82397-9_12.
  6. R. Mikhov, V. Myasnichenko, L. Kirilov, N. Sdobnyakov, P. Matrenin, D. Sokolov, S. Fidanova (2020). A two-stage Monte Carlo approach for optimization of bimetallic nanostructures. In: Proceedings of the Federated Conference on Computer Science and Information Systems: FedCSIS 2020 (M. Ganzha, L. Maciaszek, M. Paprzycki, eds.), pp. 285–288. Annals of Computer Science and Information Systems, vol. 21. IEEE. DOI: 10.15439/2020F135.
  7. В. С. Мясниченко, Р. Михов, Л. Кирилов, Н. Ю. Сдобняков, Д. Н. Соколов (2020). Изучение закономерностей диффузионной сегрегации в биметаллических ультратонких плёнках. В: Химическая термодинамика и кинетика: сборник материалов Десятой Международной научной конференции, сс. 290–292. Новгородский государственный университет им. Ярослава Мудрого. DOI: 10.34680/978-5-89896-675-1/2020.thermodynamics.
  8. V. Myasnichenko, S. Fidanova, R. Mikhov, L. Kirilov, N. Sdobnyakov (2021). Representation of initial temperature as a function in simulated annealing approach for metal nanoparticle structures modeling. In: Advances in High Performance Computing: HPC 2019 (I. Dimov, S. Fidanova, eds.), pp. 61–72. Studies in Computational Intelligence, vol. 902. Springer International Publishing, Cham. DOI: 10.1007/978-3-030-55347-0_6.
  9. V. Myasnichenko, R. Mikhov, L. Kirilov, N. Sdobnykov, D. Sokolov, S (2022). Fidanova. Simulation of diffusion processes in bimetallic nanofilms. In: Recent Advances in Computational Optimization: WCO 2020 (S. Fidanova, ed.), pp. 221–233. Studies in Computational Intelligence, vol. 986. Springer International Publishing, Cham. DOI: 10.1007/978-3-030-82397-9_11.
  10. В. С. Мясниченко, Н. Ю. Сдобняков, Л. Кирилов, Р. Михов (2019). Моделирование структуры и стабильности биметаллических нановолокон методом Монте-Карло. В: Марчуковские научные чтения – 2019: Труды Международной конференции "Актуальные проблемы вычислительной и прикладной математики", сс. 351–357. Институт вычислительной математики и математической геофизики Сибирского отделения Российской академии наук. ISBN: 978-5-901548-42-4 (link).
  11. V. Myasnichenko, N. Sdobnyakov, L. Kirilov, R. Mikhov, S. Fidanova (2020). Structural instability of gold and bimetallic nanowires using Monte Carlo simulation. In: Recent Advances in Computational Optimization (S. Fidanova, ed.), pp. 133–145. Studies in Computational Intelligence, vol. 838. Springer International Publishing, Cham. DOI: 10.1007/978-3-030-22723-4_9.
  12. V. Myasnichenko, N. Sdobnyakov, L. Kirilov, R. Mikhov, S. Fidanova (2019). Monte Carlo approach for modeling and optimization of one-dimensional bimetallic nanostructures. In: Numerical Methods and Applications: NMA 2018 (G. Nikolov, N. Kolkovska, K. Georgiev, eds.), pp. 133–141. Lecture Notes in Computer Science, vol. 11189. Springer International Publishing, Cham. DOI: 10.1007/978-3-030-10692-8_15.
  13. R. Mikhov, V. Myasnichenko, S. Fidanova, L. Kirilov, N. Sdobnyakov (2021). Influence of the temperature on simulated annealing method for metal nanoparticle structures optimization. In: Advanced Computing in Industrial Mathematics: BGSIAM 2018 (I. Georgiev, H. Kostadinov, E. Lilkova, eds.), pp. 278–290. Studies in Computational Intelligence, vol. 961. Springer International Publishing, Cham. DOI: 10.1007/978-3-030-71616-5_25.
  14. V. Myasnichenko, L. Kirilov, R. Mikhov, S. Fidanova, N. Sdobnyakov (2019). Simulated annealing method for metal nanoparticle structures optimization. In: Advanced Computing in Industrial Mathematics: BGSIAM 2017 (K. Georgiev, M. Todorov, I. Georgiev, eds.), pp. 277–289. Studies in Computational Intelligence, vol. 793. Springer International Publishing, Cham. DOI: 10.1007/978-3-319-97277-0_23.

Scientific Projects

  1. 2021–2025: Mathematical models, methods and algorithms for solving hard optimization problems to achieve high security in communications and better economic sustainability. Bulgarian National Science Fund.
  2. 2019–2022: Processing and characterization of hybrid non-equilibrium composites fabricated by Friction Stir Processing (FSP). Bulgarian National Science Fund, Bilateral Cooperation Bulgaria—India.
  3. 2018–2021: Information and communication technologies for a single digital market in science, education and security. Bulgarian Ministry of Education and Science, National Scientific Program.
Last update: February 2025