Projects per year
Personal profile
Research interests
Machine Learning, Pattern Recognition, Signal Processing, Biomedical Informatics
External positions
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Dive into the research topics where Amin Zollanvari is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Developing Intelligent Real-time Contactless Overhead Line Insulators Prognosis System using Unmanned Aerial Vehicles (UAV)
Bagheri, M., Zollanvari, A. & Phung, T.
1/1/24 → 12/31/26
Project: FDCRGP
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An AI-based Approach for Analyzing Electronic Medical Records: Prediction of Healthcare Outcomes and Drug Demand
Gaipov, A., Aljofan, M., Zollanvari, A., Şen , F., Aimyshev, T., Yerdessov, S. & Zhakhina, G.
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., Bakenov, Z., Mustafa, M., Saukhimov, A., Uzakbaiuly, B., Zollanvari, A., Hajizadeh, A., Namadmalan, A., Akmurzina, F., Kapanov, A., Beket, M. & Kospanov, T.
1/1/24 → 12/31/26
Project: CRP
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Generative Machine Learning for Drug Discovery
Fazli, S., Molnar, F., Zazybin, A., Peshkov, V., Zollanvari, A. & Müller, K.
1/1/23 → 12/31/25
Project: FDCRGP
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Metasurface-enabled Energy-Efficient and Secure Communication for Beyond 5G (B5G) Networks Aided by Robust Machine Learning Techniques
Nauryzbayev, G., Orazbayev, B., Boranbayev, S., Eltawil, A., Valagiannopoulos, K., Hashmi, M., Assylbekov, Z., Zollanvari, A., Celik, A., Arzykulov, S., Akmurzina, F., Abdugapbar, K., Abzaliyeva, A., Toregozhin, T., Zhumabek, D., Abdikarim, A., Kanyshuly, I., Sarsenbay, A. & Kassayev, A.
1/1/22 → 12/31/24
Project: CRP
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Optimal Bayesian Regression With Vector Autoregressive Data Dependency
Reihanian, S., Dougherty, E. R. & Zollanvari, A., 2024, In: IEEE Transactions on Signal Processing. 72, p. 1854-1864 11 p.Research output: Contribution to journal › Article › peer-review
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Predictive Analysis of Transformer Faults Through Vibration Signatures and One-Dimensional Convolutional Neural Networks
Kural, A., Serikbay, A., Zollanvari, A. & Bagheri, M., 2024, 2024 International Workshop on Artificial Intelligence and Machine Learning for Energy Transformation, AIE 2024. Institute of Electrical and Electronics Engineers Inc., (2024 International Workshop on Artificial Intelligence and Machine Learning for Energy Transformation, AIE 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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SRPM-ST: Sequential retraining and pseudo-labeling in mini-batches for self-training
Mukhamediya, A. & Zollanvari, A., Nov 7 2024, In: Neurocomputing. 605, 128343.Research output: Contribution to journal › Article › peer-review
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A confidence level estimation technique for reliable Data-Driven FRA interpretation in air-core winding faults
Nurmanova, V., Akhmetov, Y., Bagheri, M., Zollanvari, A. & Phung, T., 2023, In: International Journal of Electrical Power and Energy Systems. 148, 108942.Research output: Contribution to journal › Article › peer-review
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A jackknifed-inspired deep learning approach to subject-independent classification of EEG
Dolzhikova, I., Abibullaev, B. & Zollanvari, A., Dec 2023, In: Pattern Recognition Letters. 176, p. 28-33 6 p.Research output: Contribution to journal › Article › peer-review