Areas of Teaching
Machine learning and AI, programming, video compression, aerospace, unmanned aerial vehicle
Qualifications
2024 PhD, Waikato University, Hamilton, New Zealand, 2007:Bachelor's degree - Moscow Technical University of Communications and Informatics (MTUCI), 2009: Master of Research- Moscow Technical University of Communications and Informatics (MTUCI)
Profile
I research how the human visual system and knowledge of human perception can be incorporated into video compression and quality metrics. My recent projects focus on designing video quality algorithms that include human visual performance and viewing conditions to deliver the best video quality, given limited resources.
Grants
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2020 Grant of the Moscow Technical University of Communications and Informatics
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2021 Grant of the MINISTRY OF DIGITAL DEVELOPMENT, COMMUNICATIONS AND MASS COMMUNICATIONS – Project number AAAA-A21-121012290173-7
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2022 Grant of the Moscow Technical University of Communications and Informatics
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2023 Grant of the Science Foundation – Project number 23-29-00302 2023 Grant of the Science Foundation – Project number 23-29-00299
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2024 Grant of Eastern Institute of Technology
Areas of Interest
- Signal, Image and Video Processing
- Human-Computer Interaction
- Computer Vision
- Machine Learning and Artificial Intelligence
- Data Science
Research Outputs
Research outputs 2025
Mozhaeva, A., Vlasuyk, I., Potashnikov, A., Alani, N., Rogers, S. J., & Streeter, L. (2025). Enhancing wide-angle VR video transmission using human perception. In J. Zhao, Y. Bi, J. Huang, & B. Xue (Eds.), 2025 40th International Conference on Image and Vision Computing New Zealand (IVCNZ) (pp. 267-272). https://doi.org/10.1109/IVCNZ67716.2025.11281650
Mozhaeva, A., Vlasuyk, I., Potashnikov, A., Rogers, S. J., & Delmas, P. (2025). Visual artificial intelligence: Unlocking efficiency with psychovisual models. In J. Zhao, Y. Bi, J. Huang, & B. Xue (Eds.), 2025 40th International Conference on Image and Vision Computing New Zealand (IVCNZ) (pp. 273-278). IEEE. https://doi.org/10.1109/IVCNZ67716.2025.11281832
Wijewardana, D., Alexander, J. T., Adel, A., Fedorov, V., Alani, N., & Mozhaeva, A. (2025). From lab to real-world: Industrially oriented AI training without high-performance hardware. In 2025 International Conference on Engineering Management of Communication and Technology (EMCTECH). https://doi.org/10.1109/EMCTECH65814.2025.11220561
Mozhaeva, A., Adel, A., Yalda, R., & Das, B. (2025, November 17-18). AI-driven forensic application for detecting of students’ mental health risks in New Zealand institutions using keyword and sentiment-based methods [Paper presentation]. 4th Annual Artificial Intelligence Researchers Association Conference, Wellington, New Zealand. https://www.youtube.com/watch?v=hQLEGGLhcww
Research outputs 2024
Awarded Doctoral Thesis
Mozhaeva, A. (2024). Development of Video Quality Metrics Based on Psychovisual Models of Early Vision (Unpublished Doctoral Thesis). The University of Waikato, Hamilton, New Zealand.
Conference Contribution- Paper in published Proceedings
Vlasuyk, I., Potashnikov, A., Mazin, V., Mozhaeva, A., & Egorov, D. (2024). A Measurement Method and a Mathematical Model of the Human Vision System’s Temporal Peripheral Characteristics. 2024 Systems of Signals Generating and Processing in the Field of on Board Communications (pp. 1-7). doi:10.1109/IEEECONF60226.2024.10496740
Potashnikov, A., Mozhaeva, A., Vlasuyk, I., Mazin, V., & Egorov, D. (2024). Research of the Dependence of the Sensitivity of the Visual System on the Geometric Dimensions of the Stimuli in the Perception of a Typical Multimedia Content. 2024 36th Conference of Open Innovations Association (FRUCT) (pp. 617-625). doi: 10.23919/FRUCT64283.2024.10749915 Retrieved from https://ieeexplore.ieee.org/document/10749915
Vlasuyk, I., Potashnikov, A., Mazin, V., Mozhaeva, A., & Egorov, D. (2024). A Measurement Method and a Mathematical Model of the Human Vision System’s Temporal Peripheral Characteristics. 2024 Systems of Signals Generating and Processing in the Field of on Board Communications (pp. 1-7). doi:10.1109/IEEECONF60226.2024.10496740
Journal Article
Mozhaeva, A. (2024). A contrast sensitivity model of the human visual system in modern conditions for presenting video content. PLOS ONE, 19(5), -. doi:https://doi.org/10.1371/journal.pone.0303987
Mozhaeva, A., Cree, M. J., Durrant, R. J., Vlasuyk, I., Potashnikov, A., Mazin, V., & Streeter, L. (2024). A contrast sensitivity model of the human visual system in modern conditions for presenting video content. PLOS ONE, 19(5), Article e0303987. https://doi.org/10.1371/journal.pone.0303987
Mozhaeva, A., Vlasuyk, I., Potashnikov, A., Mazin, V., & Streeter, L. (2024). Video quality metric compatible with PSNR considering recent knowledge of peripheral characteristics of human vision. In R. Clare, J. Chen, & L. Yang (Eds.), Proceedings of the 2024 39th International Conference on Image and Vision Computing New Zealand (IVCNZ) University of Canterbury, Christchurch, New Zealand 4-6 December, 2024 (pp. 211-216). IEEE. https://doi.org/10.1109/IVCNZ64857.2024.10794472
Potashnikov, A., Mozhaeva, A., Vlasuyk, I., Mazin, V., & Egorov, D. (2024). Research of the dependence of the sensitivity of the visual system on the geometric dimensions of the stimuli in the perception of a typical multimedia content. In Y. Khlaponin (Ed.), Proceedings of the 36th Conference of Open Innovations Association (FRUCT) 30 October – 1 November 2024, Finland (pp. 617-625). FRUCT Oy. https://doi.org/10.23919/FRUCT64283.2024.10749915
Vlasuyk, I. V., Potashnikov, A. M., Mazin, V. A., Mozhaeva, A. I., & Egorov, D. A. (2024). A measurement method and a mathematical model of the human vision system’s temporal peripheral characteristics. In 2024 Systems of Signals Generating and Processing in the Field of on Board Communications (pp. 1-7). IEEE.
Mozhaeva, A. (2024). Development of video quality metrics based on psychovisual models of early vision [PhD thesis, University of Waikato]. Research Commons. https://hdl.handle.net/10289/17087
Research outputs 2023
Egorova, A., Baryshev, R., & Mozhaeva, A. (2023). Methodology of researching perception identity of regions of users’ interests while viewing streaming video containing various content and compression artefacts. In 2023 Systems of Signals Generating and Processing in the Field of on Board Communications (pp. 1-7). IEEE. https://doi.org/10.1109/IEEECONF56737.2023.10092038
Mazin, V., Cree, M. J., Streeter, L., Nezhivleva, K., & Mozhaeva, A. (2023). Research and application of the adaptive model of the human visual system for improving the effectiveness of objective video quality metrics. In 2023 33rd Conference of Open Innovations Association (FRUCT) (pp. 192-197). IEEE. https://doi.org/10.23919/FRUCT58615.2023.10142993
Mozhaeva, A., Mazin, V., Cree, M. J., & Streeter, L. (2023). NRspttemVQA: Real-time video quality assessment based on the user’s visual perception. In 2023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ) (pp. 1-7). IEEE. https://doi.org/10.1109/IVCNZ61134.2023.10343863
Mozhaeva, A., Mazin, V., Cree, M. J., & Streeter, L. (2023). Video quality assessment considering the features of the human visual system. In W. Q. Yan, M. Nguyen, & M. Stommel (Eds.), Image and vision computing. IVCNZ 2022 (pp. 288-300). Springer Nature.
https://doi.org/10.1007/978-3-031-25825-1_21
Votyakov, S., Mazin, V., Detusheva, P., Fast, S., & Mozhaeva, A. (2023). MTUCI database with constant subjective assessment: Research and device for generation of video sequences of constant quality. DSPA: Application Issues of Digital Signal Processing, 13(3), 12-19.
https://media-publisher.ru/wp-content/uploads/DSPA-3-2023.pdf#page=12
Mazin, V., Egorov, D., & Mozhaeva, A. (2023). Software for improving the efficiency of video quality assessment algorithms “ZSCH-M MODULE”. https://www.elibrary.ru/item.asp?id=53821391
Vyatkin, M., Davydova, A., Mozhaeva, A., & Potashnikov, A. (2023). Software for collecting and processing statistics of the direction of view “SOSNV” (Version 1). https://www.elibrary.ru/item.asp?id=50133909
Research outputs 2022
Egorov, D., Fedorov, V., Vlasuyk, I., Potashnikov, A., & Mozhaeva, A. (2022). A Novel Method for Estimating the Spatial Frequency Characteristics of Cameras Based on Generative Random Sequences. 2022 Systems of Signals Generating and Processing in the Field of on Board Communications (pp. 1-5). doi:10.1109/IEEECONF53456.2022.9744396
Potashnikov, A., Mazin, V., Stepanov, A., Smirnov, A., & Mozhaeva, A. (2022). Analysis of Modern Methods Used to Assess the Quality of Video Sequences During Signal Streaming. 2022 Systems of Signals Generating and Processing in the Field of on Board Communications (pp. 1-4). doi:10.1109/IEEECONF53456.2022.9744294
Nezhivleva, K., Davydova, A., Drebuzhan, A., Mozhaeva, A., & Balobanov, A. (2022). Comparing of Modern Methods Used to Assess the Quality of Video Sequences During Signal Streaming with and Without Human Perception. 2022 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO) (pp. 1-6). doi:10.1109/SYNCHROINFO55067.2022.9840983
Drebuzhan, A., Nezhivleva, K., Potashnikov, A., Vlasuyk, I., & Mozhaeva, A. (2022). The Steganographic Method of Introducing Additional Information, Resistant to Transcoding and Conversion. 2022 Systems of Signals Generating and Processing in the Field of on Board Communications (pp. 1-5). doi:10.1109/IEEECONF53456.2022.9744086
Journal Article
Mozhaeva, A., Vashenko, E., Selivanov, V., Potashnikov, A., Vlasuyk, I., & Streeter, L. (2022). Analysis of current video databases for quality assessment. T-Comm, 16(2), 48-56. doi:10.36724/2072-8735-2022-16-2-48-56
Akhromeiko, D., Zhuravlev, A., Safonof, I., Mozhaeva, A., & Streeter, L. (2022). ANALYSIS OF MODERN ENCODING STANDARDS FOR STREAMING VIDEO TRANSMISSION. DSPA: APPLICATION ISSUES OF DIGITAL SIGNAL PROCESSING, 12(3), 10-18.
Vlasyuk, I., Pashkovskaya, A., Myasnikova, V., Nikolskaya, D., & Mozhaeva, A. (2022). COST ANALYSIS OF CREATING MODERN VIDEO SEQUENCE DATABASES WITH SUBJECTIVE QUALITY ASSESSMENT. DSPA: APPLICATION ISSUES OF DIGITAL SIGNAL PROCESSING, 12(1), 4-11.
Vyatkin, M., Potashnikov, A., Selivanov, V., Vlasuyk, I., Nezhivleva, K., & Mozhaeva, A. (2022). Method of preventing leakage of personal data through eye-tracking modules of user devices. T-Comm, 16(7), 44-51. doi:10.36724/2072-8735-2022-16-7-44-51
Mozhaeva, A., Vlasyuk, I., Nezhivleva, K., & Komina, A. (2022). METHODOLOGY CREATION OF A STIMULUS FOR QUANTITATIVE ASSESSMENT OF THE FLICKER EFFECT IN VIDEO COMPRESSION. SYSTEMS OF SYNCHRONIZATION, FORMATION AND PROCESSING OF SIGNAL, 13(6), 29-36.
Davydova, A., Mozhaeva, A., Khurani, A., Demina, M., & Rusalimov, M. (2022). METHODOLOGY FOR STUDYING IDENTITY OF PERCEPTION OF USER INTEREST REGIONS WHEN WATCHING STREAMING VIDEO CONTAINING VARIOUS CONTENT AND COMPRESSION ARTIFACTS. SYSTEMS OF SYNCHRONIZATION, FORMATION AND PROCESSING OF SIGNAL, 13(6), 42-51.
Software
Vlasyuk, I., Balabanov, A., Potashnikov, A., Mozhaeva, A., & Fedorov, V. (2022). SPO FOR CREATING VIDEO SEQUENCES OF CONSTANT SUBJECTIVE QUALITY “SVPSC”. VERSION 1.0.Retrieved from https://www.elibrary.ru/item.asp?id=47784445.
Conference Contribution- Paper in published Proceedings
Anastasia Mozhaeva
Egorov, D., Fedorov, V., Vlasuyk, I., Potashnikov, A., & Mozhaeva, A. (2022). A Novel Method for Estimating the Spatial Frequency Characteristics of Cameras Based on Generative Random Sequences. 2022 Systems of Signals Generating and Processing in the Field of on Board Communications (pp. 1-5). doi:10.1109/IEEECONF53456.2022.9744396
Potashnikov, A., Mazin, V., Stepanov, A., Smirnov, A., & Mozhaeva, A. (2022). Analysis of Modern Methods Used to Assess the Quality of Video Sequences During Signal Streaming. 2022 Systems of Signals Generating and Processing in the Field of on Board Communications (pp. 1-4). doi:10.1109/IEEECONF53456.2022.9744294
Nezhivleva, K., Davydova, A., Drebuzhan, A., Mozhaeva, A., & Balobanov, A. (2022). Comparing of Modern Methods Used to Assess the Quality of Video Sequences During Signal Streaming with and Without Human Perception. 2022 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO) (pp. 1-6). doi:10.1109/SYNCHROINFO55067.2022.9840983
Drebuzhan, A., Nezhivleva, K., Potashnikov, A., Vlasuyk, I., & Mozhaeva, A. (2022). The Steganographic Method of Introducing Additional Information, Resistant to Transcoding and Conversion. 2022 Systems of Signals Generating and Processing in the Field of on Board Communications (pp. 1-5). doi:10.1109/IEEECONF53456.2022.9744086