Amin Zollanvari, PhD

Associate Professor

Associate Professor, School of Engineering and Digital Sciences, Department of Electrical and Computer Engineering

https://orcid.org/0000-0002-9172-8413

Emailamin.zollanvari@nu.edu.kz

Accepting PhD Students

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

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Probabilistic analysis of word and sentence embeddings with applications to Kazakh language processing
Assylbekov, Z., Zollanvari, A., Mynbaev, K. & Takhanov, R.
1/1/20 → 12/31/22
Project: Monitored by Research Administration
Data-Driven Framework Development for Projection and Containment of Spreading Processes in Complex Social Networks
Dadlani, A. & Zollanvari, A.
1/1/20 → 12/31/22
Project: Monitored by Research Administration
EPICGuide: EPICGuide: Epidural Catheter Guidance with fiber optic sensors
Tosi, D., Zollanvari, A., Molardi, C., Viderman, D. & Schena, E.
1/1/20 → 12/31/22
Project: Monitored by Research Administration
Smart Real-time Transformer Winding Prognosis System using Cloud Service
Bagheri, M., Zollanvari, A. & Phung, T.
3/20/18 → 8/31/21
Project: Monitored by Research Administration
Clinico-epidemiological assessment of COVID 19 infection in Kazakhstan
Colet, P., Sarria, A., Abibullaev, B., Zollanvari, A., Azizan, A., Crape, B., Chan, C. K., Issanov, A., Stitt, N. & Viederman, D.
Project: Monitored by Research Administration

431 Citations
12 h-Index
41 Article
19 Conference contribution
1 Review article

A New Diagnostic Technique for Reliable Decision-Making on Transformer FRA Data in Interturn Short-Circuit Condition
Akhmetov, Y., Nurmanova, V., Bagheri, M., Zollanvari, A. & Gharehpetian, G. B., May 2021, In: IEEE Transactions on Industrial Informatics. 17, 5, p. 3020-3031 12 p., 9134787.
Research output: Contribution to journal › Article › peer-review
A Systematic Deep Learning Model Selection for P300-Based Brain-Computer Interfaces
Abibullaev, B. & Zollanvari, A., 2021, (Accepted/In press) In: IEEE Transactions on Systems, Man, and Cybernetics: Systems.
Research output: Contribution to journal › Article › peer-review
Transformer Fault Prognosis Using Deep Recurrent Neural Network over Vibration Signals
Zollanvari, A., Kunanbayev, K., Akhavan Bitaghsir, S. & Bagheri, M., 2021, In: IEEE Transactions on Instrumentation and Measurement. 70, 9205841.
Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus)
A Brute-Force CNN Model Selection for Accurate Classification of Sensorimotor Rhythms in BCIs
Abibullaev, B., Dolzhikova, I. & Zollanvari, A., 2020, In: IEEE Access. 8, p. 101014-101023 10 p., 9099856.
Research output: Contribution to journal › Article › peer-review

Open Access
A New Transformer FRA Test Setup for Advanced Interpretation and Winding Short-circuit Prediction
Nurmanova, V., Akhmetov, Y., Bagheri, M., Zollanvari, A., Gharehpetian, G. B. & Phung, T., Jun 2020, Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020. Leonowicz, Z. (ed.). Institute of Electrical and Electronics Engineers Inc., 9160545. (Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution