Publications

Rustem Yeshpanov, Pavel Efimov, Leonid Boytsov, Ardak Shalkarbayuli, Pavel Braslavski. KazQAD: Kazakh Open-Domain Question Answering Dataset. LREC-COLING 2024, pages 9645–9656. https://doi.org/10.48550/arXiv.2404.04487

Rustem Yeshpanov, Alina Polonskaya, Huseyin Atakan Varol. KazParC: Kazakh Parallel Corpus for Machine Translation. LREC-COLING 2024, pages 9633–9644. https://doi.org/10.48550/arXiv.2403.19399

Adal Abilbekov, Saida Mussakhojayeva, Rustem Yeshpanov, Huseyin Atakan Varol. KazEmoTTS: A Dataset for Kazakh Emotional Text-to-Speech Synthesis. LREC-COLING 2024, pages 9626–9632. https://doi.org/10.48550/arXiv.2404.01033

Rustem Yeshpanov, Huseyin Atakan Varol. KazSAnDRA: Kazakh Sentiment Analysis Dataset of Reviews and Attitudes. LREC-COLING 2024, pages 9657–9667. https://doi.org/10.48550/arXiv.2403.19335

Bissarinova, U.; Rakhimzhanova, T.; Kenzhebalin, D.; Varol, H.A. Faces in Event Streams (FES): An Annotated Face Dataset for Event Cameras. Sensors 2024, 24, 1409. https://doi.org/10.3390/s24051409

Bissarinova U, Tleuken A, Alimukhambetova S, Varol HA, Karaca F. DL-SLICER: Deep Learning for Satellite-Based Identification of Cities with Enhanced Resemblance. Buildings. 2024; 14(2):551. https://doi.org/10.3390/buildings14020551

S. Mussakhojayeva et al., "Noise-Robust Multilingual Speech Recognition and the Tatar Speech Corpus," 2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), Osaka, Japan, 2024, pp. 732-737, doi: 10.1109/ICAIIC60209.2024.10463419.

A. Kuzdeuov, O. Mukayev, S. Nurgaliyev, A. Kunbolsyn and H. A. Varol, "ChatGPT for Visually Impaired and Blind," 2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), Osaka, Japan, 2024, pp. 722-727, doi: 10.1109/ICAIIC60209.2024.10463430.

T. Mussin, Y. Kassym, N. Kabdyshev, M. Kaikanov and Z. Kappassov, "Action-Driven Tactile Object Exploration for Shape Reconstruction via Silver Nanowire Injected Sensors," 2024 IEEE/SICE International Symposium on System Integration (SII), Ha Long, Vietnam, 2024, pp. 532-538, doi: 10.1109/SII58957.2024.10417155. keywords: {Resistance;Point cloud compression;Silver;Shape;Robot kinematics;Tactile sensors;Sensors},

Scopus EXPORT DATE: 26 March 2025 @ARTICLE{Issabek2024, author = {Issabek, Moldir and Oralkhan, Sabyrzhan and Anash, Adeliya and Nurbergenova, Nuriya and Balapan, Azat and Yeshmukhametov, Azamat and Rakhmanov, Yeltay and Kalimuldina, Gulnur}, title = {AI-Enhanced Gait Analysis Insole with Self-Powered Triboelectric Sensors for Flatfoot Condition Detection}, year = {2024}, journal = {Advanced Materials Technologies}, doi = {10.1002/admt.202401282}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208183833&doi=10.1002%2fadmt.202401282&partnerID=40&md5=a42d5aed7b1449bfe9ca37cfc19d2b24}, affiliations = {Department of Mechanical and Aerospace Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 53 Kabanbay Batyr Ave., Astana, 010000, Kazakhstan; Department of Robotics Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Kabanbay Batyr Ave. 53, Astana, 010000, Kazakhstan; Institute of Smart Systems and Artificial Intelligence, Nazarbayev University, Kabanbay Batyr Ave. 53, Astana, 010000, Kazakhstan; Department of Medicine, School of Medicine, Nazarbayev University, 53 Kabanbay Batyr Ave., Astana, 010000, Kazakhstan}, correspondence_address = {G. Kalimuldina; Department of Mechanical and Aerospace Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Astana, 53 Kabanbay Batyr Ave., 010000, Kazakhstan; email: gkalimuldina@nu.edu.kz; A. Yeshmukhametov; Department of Robotics Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Astana, Kabanbay Batyr Ave. 53, 010000, Kazakhstan; email: azamat.yeshmukhametov@nu.edu.kz}, publisher = {John Wiley and Sons Inc}, issn = {2365709X}, language = {English}, abbrev_source_title = {Adv. Mater. Technol.}, type = {Article}, publication_stage = {Article in press}, source = {Scopus}, note = {Cited by: 1}

Karaca F., Tleuken A., Awan H.H., Askar R., Çıdık M.S., Iskakova A., Turkyilmaz A., Laudal T., Durdyev S., Varol H.A., Salles A., Bajāre D., Tambovceva T., Zsembinszki G., Puma G.C.C., Kapsalyamova Z., Kripa D., Azhgaliyeva D., Nano X., Cabeza L.F., Bragança L. AUTHOR FULL NAMES: Karaca, Ferhat (8632194500); Tleuken, Aidana (57201584666); Awan, Hamad Hassan (57224074989); Askar, Rand (58998726500); Çıdık, Mustafa Selçuk (56422214000); Iskakova, Anel (59179777600); Turkyilmaz, Ali (26659343100); Laudal, Thomas (35603480400); Durdyev, Serdar (55132047800); Varol, Huseyin Atakan (24484134500); Salles, Adriana (58198736000); Bajāre, Diāna (6508179804); Tambovceva, Tatjana (55359732200); Zsembinszki, Gabriel (6508016470); Puma, Genesis Camila Cervantes (59464042700); Kapsalyamova, Zhanna (56272462800); Kripa, Dorina (57321075400); Azhgaliyeva, Dina (56197045500); Nano, Xhesila (59140738500); Cabeza, Luisa F. (7004085845); Bragança, Luís (6507844851) 8632194500; 57201584666; 57224074989; 58998726500; 56422214000; 59179777600; 26659343100; 35603480400; 55132047800; 24484134500; 58198736000; 6508179804; 55359732200; 6508016470; 59464042700; 56272462800; 57321075400; 56197045500; 59140738500; 7004085845; 6507844851 Stakeholder perspectives on the costs and benefits of circular construction (2024) Scientific Reports, 14 (1), art. no. 30039, Cited 3 times. DOI: 10.1038/s41598-024-81741-z https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211332044&doi=10.1038%2fs41598-024-81741-z&partnerID=40&md5=b3037d9366644d708a7cd375257b2cb7 КРАТКОЕ ОПИСАНИЕ: The construction industry significantly impacts the environment through natural resource depletion and energy consumption, leading to environmental degradation. Circular Economy (CE) material efficiency strategies—such as material reuse, design for disassembly, prefabrication, and recycling—offer promising solutions for reducing resource consumption and waste. This paper explores stakeholders’ perspectives on the costs and benefits of implementing CE material efficiency strategies in the construction industry, using the 3-R (Reduce, Reuse, Recycle) framework. By analyzing data from 382 participants, it assesses perceptions of costs and benefits, uncovering regional differences. The findings highlight that studied European stakeholders prioritize reuse and design for disassembly, while studied non-European countries focus on offsite production and material reuse optimization. Despite these differences, both groups view waste reduction as a key benefit, due to the cost savings it provides. By highlighting regional drivers and barriers to CE adoption, this research establishes a foundation for developing targeted policies and collaborative strategies to advance CE implementation in construction worldwide. © The Author(s) 2024. ИЗДАТЕЛЬ: Nature Research ISSN: 20452322 ТИП ДОКУМЕНТА: Article СТАДИЯ ПУБЛИКАЦИИ: Final ИСТОЧНИК: Scopus

Keutayeva, A., Fakhrutdinov, N. & Abibullaev, B. Compact convolutional transformer for subject-independent motor imagery EEG-based BCIs. Sci Rep 14, 25775 (2024). https://doi.org/10.1038/s41598-024-73755-4

Ziat, M., Kabdsyhev, N., Topp, S., Duvernoy, B., Milroy, J., Kappassov, Z. (2025). Evaluation of HaptiComm-S for Replicating Tactile ASL Numbers: A Comparative Analysis of Direct and Mediated Modalities. In: Kajimoto, H., et al. Haptics: Understanding Touch; Technology and Systems; Applications and Interaction. EuroHaptics 2024. Lecture Notes in Computer Science, vol 14768. Springer, Cham. https://doi.org/10.1007/978-3-031-70058-3_36

A. Keutayeva and B. Abibullaev, "Data Constraints and Performance Optimization for Transformer-Based Models in EEG-Based Brain-Computer Interfaces: A Survey," in IEEE Access, vol. 12, pp. 62628-62647, 2024, doi: 10.1109/ACCESS.2024.3394696. keywords: {Brain modeling;Electroencephalography;Transformers;Data models;Decoding;Task analysis;Training;Brain-computer interfaces;data scarcity;survey;deep learning;transformer;EEG;self-attention mechanism;motor imagery;BCI},

Keutayeva, A., Zollanvari, A., Abibullaev, B. (2024). Evolving Trends and Future Prospects of Transformer Models in EEG-Based Motor-Imagery BCI Systems. In: Vinjamuri, R. (eds) Discovering the Frontiers of Human-Robot Interaction. Springer, Cham. https://doi.org/10.1007/978-3-031-66656-8_10

D. Mukashev et al., "Initial Exploration into Electrotactile Tongue Stimulation for Providing Force Feedback for Robot-Assisted Surgery," 2024 IEEE 20th International Conference on Body Sensor Networks (BSN), Chicago, IL, USA, 2024, pp. 1-4, doi: 10.1109/BSN63547.2024.10780705. keywords: {Electric potential;Tongue;Force measurement;Force feedback;Surgery;Particle measurements;Safety;Interviews;Grippers;Robots;haptics;force feedback;robotic-assisted surgery;displays;tongue;sensory substitution;electrotactile stimulation},

T. Mussin, Y. Kassym, N. Kabdyshev, M. Kaikanov and Z. Kappassov, "Action-Driven Tactile Object Exploration for Shape Reconstruction via Silver Nanowire Injected Sensors," 2024 IEEE/SICE International Symposium on System Integration (SII), Ha Long, Vietnam, 2024, pp. 532-538, doi: 10.1109/SII58957.2024.10417155. keywords: {Resistance;Point cloud compression;Silver;Shape;Robot kinematics;Tactile sensors;Sensors},

Rakhimzhanova, T.; Kuzdeuov, A.; Varol, H.A. AnyFace++: Deep Multi-Task, Multi-Domain Learning for Efficient Face AI. Sensors 2024, 24, 5993. https://doi.org/10.3390/s24185993

D. Mukashev et al., "Initial Exploration into Electrotactile Tongue Stimulation for Providing Force Feedback for Robot-Assisted Surgery," 2024 IEEE 20th International Conference on Body Sensor Networks (BSN), Chicago, IL, USA, 2024, pp. 1-4, doi: 10.1109/BSN63547.2024.10780705. keywords: {Electric potential;Tongue;Force measurement;Force feedback;Surgery;Particle measurements;Safety;Interviews;Grippers;Robots;haptics;force feedback;robotic-assisted surgery;displays;tongue;sensory substitution;electrotactile stimulation},

Yergibay, M., Mussin, T., Seitzhan, S., Kenzhebek, D., Kappassov, Z., Soh, H., & Taunyazov, T. (2024). NUSense: Robust Soft Optical Tactile Sensor.ArXiv. https://arxiv.org/abs/2410.23516