Department of Scientific Computations with Laboratory on 3D Digitization and Microstructure Analysis

• Slavchev, D., Margenov, S., Georgiev, I. Performance Analysis of Direct Gaussian Solvers for Solving 2D Elastodynamic Problem of a Finite-Sized Solid Containing Cavities on CPUs and MICs. In: Georgiev, I., Kostadinov, H., Lilkova, E. (eds) Advanced Computing in Industrial Mathematics. BGSIAM 2020. Studies in Computational Intelligence, vol 1076. Springer, Cham. doi:10.1007/978-3-031-20951-2_12.

2022

• Amelia Bădică, Costin Bădică, Marek Bolanowski, Stefka Fidanova, Maria Ganzha, Stanislav Harizanov, Mirjana Ivanovic, Ivan Lirkov, Marcin Paprzycki, Andrzej Paszkiewicz, Kacper Tomczyk, Cascaded Anomaly Detection with Coarse Sampling in Distributed Systems, Big-Data-Analytics in Astronomy, Science, and Engineering, Sachdeva S., Watanobe Y., Bhalla S. (eds) Lecture notes in computer science, 13167, Springer, 2022, 181-200, doi:10.1007/978-3-030-96600-3_13.
• Boureima, I., Bhattarai, M., Eren, M. E., Solovyev, N., Djidjev, H., Alexandrov, B. S., Distributed Out-of-Memory SVD on CPU/GPU Architectures. In 2022 IEEE High Performance Extreme Computing Conference (HPEC) (pp. 1-8). IEEE.
• Evtimov, G.. Metaheuristic Methods for Reducing Cutting Tasks. Abstracts of Dissertations, 8, Institute of Information and Communication Technologies at the Bulgarian Academy of Sciences, 2022.
• Georgieva, Z., Prahov, N., Raykovska, M., Jones, K., Lea-Seaton, K., Advanced photographic methods in studying ship graffiti from medieval churches in Nessebar. Interdisciplinary Studies, 27, 21-42.
• Gusiyska A., Stanev E., Vasileva R., Raykovska, M, Gyulbenkiyan E.. Micro-computed tomography assessment of the root canal system. Journal of IMAB, 28, 4, 2022.
• Stanislav Harizanov, Nikola Kosturski, Ivan Lirkov, Svetozar Margenov, Yavor Vutov, Reduced Sum Implementation of the BURA Method for Spectral Fractional Diffusion Problems, Large-Scale Scientific Computing, I. Lirkov, S. Margenov eds., Lecture notes in computer science, 13127, Springer, 2022, 57-64, doi:10.1007/978-3-030-97549-4_6.
• Stanislav Harizanov, Ivan Lirkov, Svetozar Margenov, Rational Approximations in Robust Preconditioning of Multiphysics Problems, Mathematics, 10 (5), 2022, art. no. 780, doi:10.3390/math10050780
• Stanislav Harizanov, Svetozar Margenov, Numerical solution of spectral space-fractional diffusion problems: Recent advances and challenges beyond the scalar elliptic case, AIP Conference Proceedings. Vol. 2522. No. 1. AIP Publishing LLC, 2022.
• Ivaylo Katzarov, Nevena Ilieva, Ludmil Drenchev, Quantum Effects on 1/2[111] Edge Dislocation Motion in Hydrogen-Charged Fe from Ring-Polymer Molecular Dynamics, Large-Scale Scientific Computing, I. Lirkov, S. Margenov eds., Lecture notes in computer science, 13127, Springer, 2022, 132-139, doi:10.1007/978-3-030-97549-4_15.
• Katzarov, I., N. Ilieva, B. Yanachkov, A molecular dynamics study of dislocation-interface boundary interactions in lath martensite, AIP Conference Proceedings. Vol. 2522. No. 1. AIP Publishing LLC, 2022.
• Komatarova-Balinova, E., Charalampakis, P., Raykovska, M., The "Khan" and his "Kumihrs" (New Details from the Documentation of a Graffito from Stancho Vaklinov's Excavations North of Pliska's Citadel). Contributions to Bulgarian Archaeology, XII, NAIM-BAS, 2022.
• Nikola Kosturski, Svetozar Margenov, Yavor Vutov, Non-Overlapping Domain Decomposition via BURA Preconditioning of the Schur Complement, Mathematics, 10 (13), art. no. 2327, doi:10.3390/math10132327
• Konstantinos Liolios, Georgios Skodras, Krassimir Georgiev, Ivan Georgiev, Effluent Recirculation for Contaminant Removal in Constructed Wetlands Under Uncertainty: A Stochastic Numerical Approach Based on Monte Carlo Methodology, Large-Scale Scientific Computing, I. Lirkov, S. Margenov eds., Lecture notes in computer science, 13127, Springer, 2022, 148-155, doi:10.1007/978-3-030-97549-4_17.
• Margenov, S., Popivanov, N., Ugrinova, I., Harizanov, S., Hristov, T., Parameters identification and forecasting of COVID-19 transmission dynamics in Bulgaria with mass vaccination strategy. In AIP Conference Proceedings, Vol. 2505, 080010. AIP Publishing LLC.
• Margenov, S., Popivanov, N., Ugrinova, I., Hristov, T., Mathematical Modeling and Short-Term Forecasting of the COVID-19 Epidemic in Bulgaria: SEIRS Model with Vaccination. Mathematics, 10(15), 2570.
• Miladinova, E., Lilkova, E., Krachmarova, E., Malinova, K., Petkov, P., Ilieva, N., Litov, L., Heparan Sulfate Facilitates Binding of hIFNγ to Its Cell-Surface Receptor hIFNGR1. International Journal of Molecular Sciences, 23(16), 9415.
• Polosin, A., N. Popivanov, Some properties of degenerated singular integral operators, AIP Conference Proceedings. Vol. 2505. No. 1. AIP Publishing LLC, 2022.
• Nedyu Popivanov, Tsvetan Hristov, Rudolf Scherer, Singular solutions of 3-D Protter-Morawetz problem for weakly hyperbolic equations of Tricomi type, AIP Conference Proceedings. Vol. 2505. No. 1. AIP Publishing LLC, 2022.
• P. Popov, V. Iliev, G. Fitnev, Quality Optimization of Seismic-Derived Surface Meshes of Geological Bodies, Large-Scale Scientific Computing, I. Lirkov, S. Margenov eds., Lecture notes in computer science, 13127, Springer, 2022, 541-551, doi:10.1007/978-3-030-97549-4_62.
• Elie Saad, Marcin Paprzycki, Maria Ganzha, Amelia Bădică, Costin Bădică, Stefka Fidanova, Ivan Lirkov, Mirjana Ivanović, Generalized Zero-Shot Learning for Image Classification—Comparing Performance of Popular Approaches, Information, 13(12), 561, 2022, doi:10.3390/info13120561.
• Slavchev, D., Composite numerical methods and scalable tile algorithms. Abstracts of Dissertations, 4, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 2022.
• Dimitar Slavchev, Composite Numerical Methods and Scalable Tile Algorithms, Biomath Communications 9.2 (2022): 2208159-2208159.
• Dimitar Slavchev, Svetozar Margenov, Performance Study of Hierarchical Semi-separable Compression Solver for Parabolic Problems with Space-Fractional Diffusion, Large-Scale Scientific Computing, I. Lirkov, S. Margenov eds., Lecture notes in computer science, 13127, Springer, 2022, 71-80, doi:10.1007/978-3-030-97549-4_8.
• Zahari Zlatev, Ivan Dimov, István Faragó, Krassimir Georgiev, Ágnes Havasi, Efficient implementation of advanced Richardson Extrapolation in an atmospheric chemical scheme, Journal of Mathematical Chemistry, 60(1), 2022, 219-238, doi:10.1007/s10910-021-01300-z.
• Zahari Zlatev, Ivan Dimov, István Faragó, Krassimir Georgiev, Ágnes Havasi, Running an Atmospheric Chemistry Scheme from a Large Air Pollution Model by Using Advanced Versions of the Richardson Extrapolation, Large-Scale Scientific Computing, I. Lirkov, S. Margenov eds., Lecture notes in computer science, 13127, Springer, 2022, 188-197, doi:10.1007/978-3-030-97549-4_22.

2021

• Rafał Adasiewicz, Maria Ganzha, Marcin Paprzycki, Mirjana Ivanovic, Costin Badica, Ivan Lirkov, Stefka Fidanova, Stanislav Harizanov, Optimal Placement of Internet of Things Infrastructure in a Smart Building, Lecture Notes in Networks and Systems, 166, Springer, 2021, 661-669, doi:10.1007/978-981-15-9689-6_73
• Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev, Using Machine Learning for Quantum Annealing Accuracy Prediction. Algorithms 2021, 14, 187. doi:10.3390/a14060187.
• Stanislav Harizanov, Nikola Kosturski, Ivan Lirkov, Svetozar Margenov, Yavor Vutov, Reduced Multiplicative (BURA-MR) and Additive (BURA-AR) Best Uniform Rational Approximation Methods and Algorithms for Fractional Elliptic Equations, Fractal and Fractional, 5(3), 2021, art. no. 61, doi:10.3390/fractalfract5030061
• Harizanov, S., Margenov, S., Popivanov, N. Spectral Fractional Laplacian with Inhomogeneous Dirichlet Data: Questions, Problems, Solutions (2021) Studies in Computational Intelligence, 961 SCI, pp. 123-138. doi:10.1007/978-3-030-71616-5_13.
• Hatri M. El, Ghenji R., Popivanov N.. Axisymmetric problem of non-stationnary Navier-Stokes equations coupled with the heat equation. AIP Conference Proceedings, 2333, American Institut of Physycs Publishing, 2021, DOI:10.1063/5.0041937, 120005-1-120005-09
• Hatri, M. E., Ghenji, R., Popivanov, N. Mathematical Study Approach of an Axisymmetric Flow of Stationnary Navier-Stokes Fluid Coupled with the Energy Equation. Advanced Aspects of Engineering Research Vol. 8, 1–21, (2021), doi:10.9734/bpi/aaer/v8/7315D.
• Nicolai B. Jordanov, Ivan Georgiev, Alexander Karamanov, Sintered Glass-Ceramics, Self-Glazed Materials and Foams from Metallurgical Waste Slag. Materials, 2021, 14, 2263, doi:10.3390/ma14092263.
• Lilkova, E., Ilieva, N., Petkov, P., Krachmarova, E., Nacheva, G., Litov, L. Molecular Dynamics Simulations of His₆-FLAG-hIFNγ Fusion Glycoproteins (2021) Studies in Computational Intelligence, 961, pp. 256-267. doi:10.1007/978-3-030-71616-5_23.
• Liolios A., Skodras G., Liolios K., Georgiev K., Georgiev I. (2021) A Stochastic Analysis of RC Structures Under Progressive Environmental Collapse Considering Uncertainty and Strengthening by Ties. In: Dimov I., Fidanova S. (eds) Advances in High Performance Computing. HPC 2019. Studies in Computational Intelligence, vol 902. Springer, Cham, doi:10.1007/978-3-030-55347-0_23.
• Ivan Lirkov, Stanislav Harizanov, Marcin Paprzycki, Maria Ganzha, Performance analysis of parallel high-resolution image restoration algorithms on Intel supercomputer, Concurrency and Computation: Practice and Experience, 33 (4), 2021, e5996, doi:10.1002/cpe.5996.
• Leandar Litov, Peicho Petkov, Miroslav Rangelov, Nevena Ilieva, Elena Lilkova, Nadezhda Todorova, Elena Krachmarova, Kristina Malinova, Anastas Gospodinov, Rossitsa Hristova, Ivan Ivanov, Genoveva Nacheva, Molecular Mechanism of the Anti-Inflammatory Action of Heparin. Int. J. Mol. Sci. 2021, 22, 10730, doi:10.3390/ijms221910730.
• Svetozar Margenov, Nedyu Popivanov, Iva Ugrinova, Stanislav Harizanov, Tsvetan Hristov, Mathematical and computer modeling of COVID-19 transmission dynamics in Bulgaria by time-depended inverse SEIR model (2021) AIP Conference Proceedings, 2333, art. no. 090024, doi:10.1063/5.0041868.
• Popivanov N., Moiseev E.I., Boshev Y.. Pohozhaev Type Identity for a Nonlinear Mixed Type Equation with Two Orthogonal Degeneration Lines. AIP Conference Proceedings, 2333, American Institut of Physycs Publishing, 2021, doi:10.1063/5.0041870, 120006-1-120006-11
• Slavchev D. Performance Analysis of Hierarchical Semi-separable Compression Solver for Fractional Diffusion Problems. In: Georgiev I., Kostadinov H., Lilkova E. (eds) Advanced Computing in Industrial Mathematics. BGSIAM 2018. Studies in Computational Intelligence, 961. Springer, Cham. doi:10.1007/978-3-030-71616-5_30.
• S. Stoykov, E. Manoach, Damage localization of beams based on measured forced responses, Mechanical Systems and Signal Processing, Volume 151, 2021, 107379, doi:10.1016/j.ymssp.2020.107379.
• Toneva, D., Nikolova, S., Harizanov, S., Zlatareva, D., Hadjidekov, V. A dense approach for computation of facial soft tissue thickness data (2021) Forensic Imaging, 25, art. no. 200460.
• Raviteja Vangara, Manish Bhattarai, Erik Skau, Gopinath Chennupati, Hristo Djidjev, Tom Tierney, James Smith, Valentin Stanev, Boian Alexandrov, Finding the Number of Latent Topics With Semantic Non-Negative Matrix Factorization, in IEEE Access, vol. 9, pp. 117217-117231, 2021, doi:10.1109/ACCESS.2021.3106879.

2020

• Gergana Bencheva, Nikola Kosturski, Yavor Vutov, Parallel BURA Based Numerical Solution of Fractional Laplacian with Pure Neumann Boundary Conditions, Large-Scale Scientific Computing, I. Lirkov, S. Margenov eds., Lecture notes in computer science, 11958, Springer, 2020, 284-291, doi:10.1007/978-3-030-41032-2_32.
• Raimondas Čiegis, Vadimas Starikovičius, Svetozar Margenov, Rima Kriauzienė, Scalability analysis of different parallel solvers for 3D fractional power diffusion problems, Concurrency and Computation: Practice and Experience, 31 (19), e5163 doi:10.1002/cpe.5163.
• Irina Georgieva, Stanislav Harizanov, Clemens Hofreither, Iterative low-rank approximation solvers for the extension method for fractional diffusion, Computers & Mathematics with Applications, 80 (2), 2020, 351-366, doi:10.1016/j.camwa.2019.07.016.
• Stanislav Harizanov, Raytcho Lazarov, Svetozar Margenov, Pencho Marinov, Numerical solution of fractional diffusion–reaction problems based on BURA, Computers & Mathematics with Applications, 80 (2), 2020, 316-331, doi:10.1016/j.camwa.2019.07.002.
• Stanislav Harizanov, Raytcho Lazarov, Svetozar Margenov, Pencho Marinov, Joseph Pasciak, Analysis of numerical methods for spectral fractional elliptic equations based on the best uniform rational approximation, Journal of Computational Physics, 408, 2020, 109285, doi:10.1016/j.jcp.2020.109285.
• Nevena Ilieva, Peicho Petkov, Elena Lilkova, Tsveta Lazarova, Aleksandar Dolashki, Lyudmila Velkova, Pavlina Dolashka, Leandar Litov, In Silico Study on the Structure of Novel Natural Bioactive Peptides, Large-Scale Scientific Computing, I. Lirkov, S. Margenov eds., Lecture notes in computer science, 11958, Springer, 2020, 332-339, doi:10.1007/978-3-030-41032-2_38.
• Elena Lilkova, Nevena Ilieva, Peicho Petkov, Miroslav Rangelov, Leandar Litov, In silico indications for human interferon gamma inhibition by heparin, Applications of Mathematics in Technical and Natural Sciences, AMiTaNS 2020, Michail D. Todorov (Ed.), AIP Conference Proceedings, 2302, American Institute of Physics, 2020, 020003, doi:10.1063/5.0033537.
• Ivan Lirkov, Performance Analysis of a Parallel Denoising Algorithm on Intel Xeon Computer System, Parallel Processing and Applied Mathematics, PPAM 2019, Wyrzykowski R., Deelman E., Dongarra J., Karczewski K. (eds), Lecture notes in computer science, 12044, Springer, 2020, 93-100, doi:10.1007/978-3-030-43222-5_8.
• Ivan Lirkov, Performance Analysis Of A Scalable Algorithm For 3D Linear Transforms On Supercomputer With Intel Processors/co-processors, Cybernetics and information technologies, 20 (6), 2020, 94-104, doi:10.2478/cait-2020-0064.
• Dimitar Slavchev, On the Impact of Reordering in a Hierarchical Semi-Separable Compression Solver for Fractional Diffusion Problems, Large-Scale Scientific Computing, I. Lirkov, S. Margenov eds., Lecture notes in computer science, 11958, Springer, 2020, 373-381, doi:10.1007/978-3-030-41032-2_43.
• Dimitar Slavchev, Svetozar Margenov, Ivan Georgiev, On the application of recursive bisection and nested dissection reorderings for solving fractional diffusion problems using HSS compression, Applications of Mathematics in Technical and Natural Sciences, AMiTaNS 2020, Michail D. Todorov (Ed.), AIP Conference Proceedings, 2302, American Institute of Physics, 2020, 120008, doi:10.1063/5.0034506.
• Yavor Vutov, Daniel Nikolov, Ivan Lirkov, Krassimir Georgiev, Computer simulation of a saline enhanced radio-frequency hepatic ablation process, Large-Scale Scientific Computing, I. Lirkov, S. Margenov eds., Lecture notes in computer science, 11958, Springer, 2020, 382-390, doi:10.1007/978-3-030-41032-2_44.
• Zahari Zlatev, Ivan Dimov, István Faragó, Krassimir Georgiev, Ágnes Havasi, Studying the Influence of Climate Changes on European Ozone Levels, Large-Scale Scientific Computing, I. Lirkov, S. Margenov eds., Lecture notes in computer science, 11958, Springer, 2020, 391-399, doi:10.1007/978-3-030-41032-2_45.

Proceedings Papers and Reports

2022

• Elijah Pelofske, Georg Hahn, Hristo N. Djidjev, Parallel quantum annealing, Scientific Reports 12 (2022) Article number: 4499, 1-11.
• Pelofske, E., Hahn, G., O’Malley, D., Djidjev, H. N., Alexandrov, B. S, Quantum annealing algorithms for Boolean tensor networks. Scientific Reports, 12, Article number: 8539.