III International Workshop
HMMOCS-III 2024: Hybrid methods of modeling and optimization in complex systems
Workshop Materials
About the Workshop
Website of the workshop
On December 2, 2024, the III International Workshop-Seminar on Hybrid Modeling Methods took place at the Krasnoyarsk House of Science and Technology. Organized by Siberian Federal University with support from the Ministry of Science and Higher Education of the Russian Federation (Grant No. 075-15-2022-1121), the event was held in a hybrid format, bringing together approximately 100 participants both in-person and online.
The workshop was opened by Alena Alexandrovna Stupina, the grant project leader, who emphasized the importance of interdisciplinary approaches in modern research and expressed hope for fruitful international collaboration.
Plenary Session Highlights
The plenary session featured presentations by leading scientists from Russia, Serbia, Greece, and India, covering diverse topics in artificial intelligence (AI), machine learning, and optimization:
- Predrag Stanimirovic (University of Niš, Serbia) discussed continuous-time recurrent neural networks.
- Spyridon Mourtas (National and Kapodistrian University of Athens, Greece) presented on credit approval classification using a bio-inspired WASD neural network.
- Artem Stupin (Birla Institute of Technology, India; Siberian Federal University, Russia) spoke about optimizing traffic light phases at adjacent intersections.
- Kachhwaha Nitu (University of Rajasthan, India) explored the potential of edutainment and gamification in education.
- Alexander Blinnikov (Krasnoyarsk State Agrarian University, Russia) showcased the application of a U-Net generative adversarial network for image processing.
Additional presentations by Siberian Federal University researchers—Vladimir Kazakovtsev, Ivan Rozhnov, Amelia Grace, Konstantin Polyansky, Yulia Ovchinnikova, Vadim Spirin, and Maria Pokushko—addressed topics ranging from AI applications in industry to evaluating the performance of complex systems.
Key Research Areas
The workshop focused on several cutting-edge topics:
- Neural networks and machine learning for solving complex problems across various domains.
- Urban system optimization, particularly traffic management.
- Innovations in financial technologies and educational tools.
- Computer vision and image processing with practical applications.
- Bioinformatics, including genetic data analysis.
- Blockchain technologies for cybersecurity.
Impact and Conclusion
The international nature of the workshop fostered diverse perspectives and approaches, strengthening scientific ties between countries. The event demonstrated how global collaboration in hybrid modeling methods can lead to innovative solutions for pressing challenges in science and society.
The workshop concluded with a summary session and closing remarks from the organizers, opening new avenues for future research and collaboration.
The Proceedings of HMMOCS-III 2024 are published in ITM Web of Conferences, indexed by the international databases Web of Science and Google Scholar - Volume 72 (2025).
Videoreports
Reports and papers
Advances in Hybrid Modeling and Optimization Techniques
01001 Dynamic programming in package Mathematica
Predrag S. Stanimirović, and Artem Stupin
01002 A modification of Random Forest investment assets selection algorithm
Anna Zinenko, and Alena Stupina
01003 Development of the hybrid information and analytical system for management reporting in the organization
Anastasiia Dudchenko, and Tatiana Karaseva
01004 Evolvement of artificial intelligence and hybrid methods for modeling and optimization in complex systems
Bekhan Malsagov, Fardiana Ketova, and Danila Makienko
01005 Hybrid approaches to optimizing online transformation of master's programs: a complex systems case study in software engineering and cybernetics
Igor Kovalev, Anna Voroshilova, Alexander Kuznetsov, and Yusuf Beshimov
01006 Search method for optimal interpolation of thermomechanical coefficients for non-ferrous metals and high-alloy steels
Evgeniy Yashmetov, and Lev Kazakovtsev
01007 Optimization of traffic light phases at adjacent intersections
Artem Stupin, Oleg Stupin, and Ivan Makarchuk
01008 Simulation model of call service processes in a multiservice satellite network
Dmitrii Ponomarev, Alena Demicheva, and Lyudmila Egorova
01009 Application of modern hybrid technologies in the field of data analysis to struggle with spear phishing
Dmitriy Gordeev, Margarita Karaseva, and Tatiana Karaseva
Applications of AI and Complex Systems in Various Domains
02001 Comparative analysis of engineering tools for modeling and analysis
Movsar Matygov, Alina Ashkhotova, and Vladislav Sokolov
02002 The importance of structural or physical design to meet the compliance of artificial intelligence
Muslim Aleroev, Maryana Georgieva, and Vladislav Sokolov
02003 The software for simulating the operation of the spherical nuclear reactor
Danila Zaronov, Ivan Provorny, Ivan Chumakov, Mariia Pokushko, and Margarita Karaseva
02004 Mental health evaluation during internet blackouts: a case study of Bangladesh Quota Movement
Mohammad Ariful Islam Rafi, and Tahidul Islam
02005 Modelling and artificial intelligence technologies in modern approaches to automation of metallurgical industries
Vladislav Gerashchenko, Nafisa Kulmurodova, and Zarifjon Kulmurodov
02006 Features of automation of the university schedule management process through the «Class Schedule WEB application»
Anna Firer, Anatoly Kopeikin, and Igor Khramov
02007 Use of available engineering tools for modelling in multiple industries
Magomed Khaliev, Zalim Deunezhev, and Natalia Dubovik
02008 Nonlinear audio processing when creating excursion material using AI content
Alexander Blinnikov, Ivan Blinnikov, Erkin Kadirov, and Nikolay Tsybov
02009 Intellectual technologies and modeling for transformation of engineering tools
Yakha Khadueva, Zalim Deunezhev, and Ekaterina Karabitsina
02010 Continuum robotics: variations, applications, and limitations
Islam Magomedov, Timur Aygumov, and Fatimat Dzamikhova
02011 Design and analysis of a specialized rover to overcome various unpredictable obstacles
Timur Aygumov, Saidmagomed Alikhadzhiev, and Islam Unachev
02012 An intelligent model for predicting the behavior of soil conditions depending on external weather conditions
Oleslav Antamoshkin, Anton Mikhalev, Andrey Menshenin, and Alexander Lukishin
02013 Application of the feedback mechanism in systems using a direct current motor
Dmitry Stavtsev, Ivan Provorny, Ivan Chumakov, Mariia Pokushko, and Artur Nikiforov
Interdisciplinary Mathematical Modeling and Applications
03001 Object segmentation approach in image processing
Narzullo Mamatov, Vohid Fayziyev, Malika Jalelova, and Boymirzo Samijonov
03002 Analysis and modeling of digital solutions in medical database management
Bakhtiyar Rakhimov, Feruza Rakhimova, Atabek Saidov, and Zarina Saidova
03003 Computing the dynamic AC of an electrical network via a fuzzy adaptive recurrent neural network
Spyridon D. Mourtas
03004 Engineering and technological aspects of the application of artificial intelligence models in modern agriculture
Olga Anokhina, Madina Musaeva, and Amelia Grace
03005 Building a model for predicting fire dynamics
Lev Kene, and Roman Kuzmich
03006 Quantile estimates of entropy uncertainty for distributions supported on bounded interval
Vitaly G Polosin
03007 Quantum computing and artificial intelligence: a synergy for the future
Muslim Aleroev, Saniyat Arvanova, and Danila Makienko
03008 Analysis of the dynamics of changes in factor load models for predicting failures of a spacecraft
Konstantin Kraev, Pavel Zaitsev, and Vladimir Kazakovtsev
03009 Predictive model of the potential for the use of public-private partnership mechanisms
Victor Prokhorov, Ivan Rozhnov, and Lev Kazakovtsev
03010 Autonomous on-board object and phenomenon detection system
Anton Mikhalev, Nikolai Guliutin, Nadezhda Ermienko, and Oleslav Antamoshkin
Data Mining, Machine Learning and Pattern Recognition
04001 The opportunities and risks of employment under the impact of artificial intelligence
Elina Guzueva, Alexander Ksenofontov, and Danil Aun
04002 Development of a fuzzy rule base design algorithm using a genetic algorithm and an inverted pendulum
Nikita Marushchenko, and Vladimir Stanovov
04003 Binarization of features based on frequency discretization for clustering tasks
Igor Masich, Guzel Shkaberina, and Danila Masich
04004 Unsupervised feature selection in binarization of real attributes for conceptual clustering
Guzel Shkaberina, Igor Masich, Egor Markushin, and Ekaterina Kraeva
04005 Modification of software tool for human activity classification
Maxim Farafonov, Evgeniye Peresunko, and Vladislav Mymlikov
04006 Comparison of clustering of 16S and 5S RNA genes of bacteria by their triplet composition
Iuliia Ovchinnikova, and Vyacheslav Leonov
04007 Data segmentation through two-level clustering with greedy approach
Vladimir Kazakovtsev, and Egor Markushin
04008 EEG-based epileptic seizure detection with a bidirectional long short-term memory deep learning model
Lyudmila D. Egorova
04009 Using R/S analysis for forecasting stock quotes with ARMA and ARIMA methods
Alena Stupina and Anna Zinenko
04010 Comparison of cluster and classical approaches to issuing training information in adaptive learning systems
Konstantin Polyansky, and Igor Kovalev
Adaptive Intelligence: Exploring Learning in Evolutionary Algorithms and Neural Networks
05001 Adaptive component crossover for differential evolution in solving single-objective optimization problems
Anton Sopov, and Evgenii Sopov
05002 Innovative educational techniques: exploring the potential of edutainment and gamification
Neetu Kachhwaha, Islam Magomedov, and Danil Aun
05003 Development and analysis of adaptive mutation techniques in genetic algorithms
Zakhar Novikov, and Evgenii Sopov
05004 Evolutionary search algorithm for learning activation function of an artificial neural network
Viacheslav Yurshin
05005 Optimization of regular expressions using competitive coevolutionary algorithm based on symbolic regression
Liliya Demidova, and Nikita Moroshkin
05006 Credit approval classification through a WASD neuronet
Spyridon D. Mourtas
05007 A neural network regression model for predicting student learning success based on prior achievements
Mikhail Dorrer
05008 Neural network-based vehicle control in simulated environments using real-coded genetic algorithms
Denis Shabalin, and Vladimir Stanovov
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