• 304 Citations
  • 10 h-Index
20062020
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Personal profile

External positions

Fingerprint 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.

Discriminant analysis Engineering & Materials Science
Classifiers Engineering & Materials Science
Error analysis Engineering & Materials Science
Sample Size Medicine & Life Sciences
Genes Engineering & Materials Science
Sampling Engineering & Materials Science
Covariance matrix Engineering & Materials Science
Mean square error Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2018 2020

Transformer windings
Frequency response
Short circuit currents
Industry
Electric potential

High-dimensional Data Analytics for Genome-Wide Association Studies: An Application to Alcoholism

Zollanvari, A., Dougherty, E. R. & Agrawal, A.

3/20/1812/31/20

Project: Research project

Genome-Wide Association Study
Alcoholism
Alcohol Drinking
Kazakhstan
Substance-Related Disorders

Research Output 2006 2019

  • 304 Citations
  • 10 h-Index
  • 30 Article
  • 17 Conference contribution

IoT Application in Transformer Fault Prognosis Using Vibration Signal

Bagheri, M., Nurmanova, V., Zollanvari, A., Nezhivenko, S. & Phung, B. T., Feb 13 2019, ICHVE 2018 - 2018 IEEE International Conference on High Voltage Engineering and Application. Institute of Electrical and Electronics Engineers Inc., 8641873. (ICHVE 2018 - 2018 IEEE International Conference on High Voltage Engineering and Application).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Transformer windings
Data transfer
Cloud computing
Short circuit currents
Insulation

Optimal Bayesian Classification With Vector Autoregressive Data Dependency

Zollanvari, A. & Dougherty, E. R., Jun 15 2019, In : IEEE Transactions on Signal Processing. 67, 12, p. 3073-3086 14 p., 8693865.

Research output: Contribution to journalArticle

Classifiers
White noise
Covariance matrix
Random variables
Uncertainty

Predictive Meta-analysis of Multiple Microarray Datasets: An Application to Classification of Malignant Gliomas

Tursynbek, N., Ghahramany, G., Nabavi, S. & Zollanvari, A., Jan 21 2019, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Schmidt, H., Griol, D., Wang, H., Baumbach, J., Zheng, H., Callejas, Z., Hu, X., Dickerson, J. & Zhang, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 2423-2428 6 p. 8621503. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Microarrays
Glioma
Meta-Analysis
Genes
Transcriptome

Adaptive face space models with dynamic neural priors and sparse coding

Reihanian, S., Zollanvari, A. & James, A. P., Feb 14 2018, ICECS 2017 - 24th IEEE International Conference on Electronics, Circuits and Systems. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 389-392 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neurons
Mathematical models
5 Citations (Scopus)

A new vibration analysis approach for transformer fault prognosis over cloud environment

Bagheri, M., Nezhivenko, S., Naderi, M. S. & Zollanvari, A., Sep 1 2018, In : International Journal of Electrical Power and Energy Systems. 100, p. 104-116 13 p.

Research output: Contribution to journalArticle

Vibration analysis
Short circuit currents
Monitoring
Economics
Internet of things