Projects per year
Personal profile
Research interests
Machine Learning, Pattern Recognition, Signal Processing, Biomedical Informatics
External positions
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- 1 Similar Profiles
Collaborations and top research areas from the last five years
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Transforming Epilepsy Care in Kazakhstan with Machine Learning-Driven Brain-Computer Interfaces
Abibullaev, B. (PI), Utebekov, Z. (Co-PI), Lee, M. (Other Faculty/Researcher), Akhmedullin, R. (Other Faculty/Researcher) & Zollanvari, A. (Other Faculty/Researcher)
2/4/25 → 12/31/27
Project: FDCRGP
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An AI-based Approach for Analyzing Electronic Medical Records: Prediction of Healthcare Outcomes and Drug Demand
Gaipov, A. (PI), Aljofan, M. (Other Faculty/Researcher), Zollanvari, A. (Co-PI), Şen , F. (Other Faculty/Researcher), Aimyshev, T. (Other Faculty/Researcher), Yerdessov, S. (Other Faculty/Researcher) & Zhakhina, G. (Other Faculty/Researcher)
1/1/24 → 12/31/26
Project: FDCRGP
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Wireless Power and Full-Duplex Data Transfer for Unmanned Aerial Vehicle using Transmission Line and Power/Data Frequency Division Multiplexing: A Hybrid System Development
Bagheri, M. (PI), Bakenov, Z. (Co-PI), Mustafa, M. (Co-PI), Saukhimov, A. (Co-PI), Uzakbaiuly, B. (Other Faculty/Researcher), Zollanvari, A. (Other Faculty/Researcher), Hajizadeh, A. (Other Faculty/Researcher), Namadmalan, A. (Other Faculty/Researcher), Akmurzina, F. (Administrative and clerical specialist), Kapanov, A. (Master student/Bachelor degree holder), Beket, M. (Undergraduate student) & Kospanov, T. (Undergraduate student)
1/1/24 → 12/31/26
Project: CRP
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Innovative Assessment of Solid Cancers Burden in Kazakhstan and Its 10-year Trend Using Big Healthcare Data and Forecasting Models
Gaipov, A. (PI), Semenova, Y. (Other Faculty/Researcher), Zollanvari, A. (Other Faculty/Researcher) & Kashkynbayev, A. (Other Faculty/Researcher)
1/1/24 → 12/31/26
Project: Government
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Developing Intelligent Real-time Contactless Overhead Line Insulators Prognosis System using Unmanned Aerial Vehicles (UAV)
Bagheri, M. (PI), Zollanvari, A. (Co-PI) & Phung, T. (Other Faculty/Researcher)
1/1/24 → 12/31/26
Project: FDCRGP
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AdaBoost.SDM: Similarity and dissimilarity-based manifold regularized adaptive boosting algorithm
Mukhamediya, A. & Zollanvari, A., Oct 2025, In: Pattern Recognition Letters. 196, p. 66-71 6 p.Research output: Contribution to journal › Article › peer-review
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Efficient active learning using recursive estimation of error reduction
Mukhamediya, A., Sameni, R. & Zollanvari, A., Jul 14 2025, In: Neurocomputing. 638, 130131.Research output: Contribution to journal › Article › peer-review
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A Convolutional Neural Network Ensemble Model for High-Voltage Insulator Surface Image Classification
Serikbay, A., Bagheri, M. & Zollanvari, A., 2024, 2024 IEEE Conference on Engineering Informatics, ICEI 2024. Institute of Electrical and Electronics Engineers Inc., (2024 IEEE Conference on Engineering Informatics, ICEI 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Assessment of Insulator Surface Pollution Severity Using Frequency Domain Spectroscopy (FDS)
Serikbay, A., Nurmanova, V., Mukhamediya, A., Zollanvari, A. & Bagheri, M., 2024, 2024 6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024. Institute of Electrical and Electronics Engineers Inc., p. 26-32 7 p. (2024 6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Ensemble Pretrained Convolutional Neural Networks for the Classification of Insulator Surface Conditions
Serikbay, A., Bagheri, M., Zollanvari, A. & Phung, B. T., Nov 2024, In: Energies. 17, 22, 5595.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus)