Dr. Firuz Kamalov |
|
|---|---|
| Highest Degree | PhD in Mathematics University of Nebraska, USA |
| Position | Professor |
| Faculty | School of Engineering, Applied Science and Technology |
| Telephone/Ext | +971(4)7096175 |
| Location | Hub 108 |
Name
Dr. Firuz Kamalov
Position Professor
Email firuz@cud.ac.ae
Telephone/Ext +971(4)7096175
Location Hub 108
Highest Degree PhD in Mathematics
University of Nebraska, USA
Faculty School of Engineering, Applied Science and Technology
Position Professor
Email firuz@cud.ac.ae
Telephone/Ext +971(4)7096175
Location Hub 108
Highest Degree PhD in Mathematics
University of Nebraska, USA
Faculty School of Engineering, Applied Science and Technology
Biography
Firuz Kamalov, Professor of Mathematics at Canadian University Dubai, earned his PhD at the University of Nebraska-Lincoln in 2011 as an Othmer Fellow, and his BA at Macalester College as a DeWitt Wallace Scholar. Dedicated to teaching and student engagement, his research spans machine learning, functional analysis, applied mathematics, statistical learning, time series forecasting, and education. Currently, Dr. Kamalov serves as the Managing Editor of the Gulf Journal of Mathematics and an Associate Editor of the Journal of Intelligent and Fuzzy Systems. He has also been a Guest Editor at several well-known journals. Dr Kamalov is a recipient of multiple research grants totaling over USD 1 million.
Google Scholar
Selected publications
- Kamalov, F., Gurrib, I. & Rajab, K. (2021). Financial Forecasting with Machine Learning: Price Vs Return. Journal of Computer Science, 17(3), 251-264.
- Kamalov, F., & Leung, H. H. (2020, November). Deep learning regularization in imbalanced data. In 2020 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI) (pp. 1-5). IEEE.
- Kamalov, F., Moussa, S., Zgheib, R., & Mashaal, O. (2020, December). Feature selection for intrusion detection systems. In 2020 13th International Symposium on Computational Intelligence and Design (ISCID) (pp. 265-269). IEEE.
- Kamalov, F.(2020). Kernel density estimation based sampling for imbalanced class distribution. Information Sciences, 512, 1192-1201.
- Kamalov, F., & Denisov, D. (2020). Gamma distribution-based sampling for imbalanced data. Knowledge-Based Systems, 207, 106368.
- Kamalov, F., Smail, L., & Gurrib, I. (2020, December). Forecasting with Deep Learning: S&P 500 index. In 2020 13th International Symposium on Computational Intelligence and Design (ISCID) (pp. 422-425). IEEE.
- Kamalov, F., Smail, L., & Gurrib, I. (2020, December). Forecasting with Deep Learning: S&P 500 index. In 2020 13th International Symposium on Computational Intelligence and Design (ISCID) (pp. 422-425). IEEE.
- Kamalov, F., Smail, L., & Gurrib, I. (2020, November). Stock price forecast with deep learning. In 2020 International Conference on Decision Aid Sciences and Application (DASA) (pp. 1098-1102). IEEE.
- Thabtah, F., Hammoud, S., Kamalov, F., & Gonsalves, A. (2020). Data imbalance in classification: Experimental evaluation. Information Sciences, 513, 429–441.
- Thabtah, F., Kamalov, F., Hammoud, S., & Shahamiri, S. R. (2020). Least Loss: A simplified filter method for feature selection. Information Sciences, 534, 1-15.
- Thabtah, F., Kamalov, F., & Rajab, K. (2018). A new computational intelligence approach to detect autistic features for autism screening. International Journal of Medical Informatics, 117, 112–124.
- Okash, A., Kamalov, F., Hamidi, S., Roberts, C., & Abdulnasir, S. (2020). Data mining in the time of COVID-19. PalArch’s Journal of Archaeology of Egypt / Egyptology, 17(8), 224-248.
- Kamalov, F. (2020). Forecasting significant stock price changes using neural networks. Neural Computing and Applications, 32, 17655–17667.
- Kamalov, F. (2020). Generalized feature similarity measure. Annals of Mathematics and Artificial Intelligence, 88, 987–1002.
- Kamalov, F., Leung, H.H. & Moussa, S. (2020). Monotonicity of the χ2-statistic and Feature Selection. Annals of Data Science.
- Gurrib, I., Elsharief, E., & Kamalov, F. (2020). The effect of energy cryptos on efficient portfolios of key energy listed companies in the S&P composite 1500 energy index. International Journal of Energy Economics and Policy, 10(2), 179–193.
- Gurrib, I., Kamalov, F. & Elshareif, E. (2021). Can the leading us energy stock prices be predicted using Ichimoku clouds? International Journal of Energy Economics and Policy. 11(1), 41-51.
- Gurrib, I., & Kamalov, F. (2019). The implementation of an adjusted relative strength index model in foreign currency and energy markets of emerging and developed economies. Macroeconomics and Finance in Emerging Market Economies, 12(2), 105–123.
- Kamalov, F. (2019). Sensitivity Analysis for Feature Selection. In Proceedings - 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018 (pp. 1466–1470).
Firuz Kamalov, Professor of Mathematics at Canadian University Dubai, earned his PhD at the University of Nebraska-Lincoln in 2011 as an Othmer Fellow, and his BA at Macalester College as a DeWitt Wallace Scholar. Dedicated to teaching and student engagement, his research spans machine learning, functional analysis, applied mathematics, statistical learning, time series forecasting, and education. Currently, Dr. Kamalov serves as the Managing Editor of the Gulf Journal of Mathematics and an Associate Editor of the Journal of Intelligent and Fuzzy Systems. He has also been a Guest Editor at several well-known journals. Dr Kamalov is a recipient of multiple research grants totaling over USD 1 million.
Google Scholar
Selected publications
- Kamalov, F., Gurrib, I. & Rajab, K. (2021). Financial Forecasting with Machine Learning: Price Vs Return. Journal of Computer Science, 17(3), 251-264.
- Kamalov, F., & Leung, H. H. (2020, November). Deep learning regularization in imbalanced data. In 2020 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI) (pp. 1-5). IEEE.
- Kamalov, F., Moussa, S., Zgheib, R., & Mashaal, O. (2020, December). Feature selection for intrusion detection systems. In 2020 13th International Symposium on Computational Intelligence and Design (ISCID) (pp. 265-269). IEEE.
- Kamalov, F.(2020). Kernel density estimation based sampling for imbalanced class distribution. Information Sciences, 512, 1192-1201.
- Kamalov, F., & Denisov, D. (2020). Gamma distribution-based sampling for imbalanced data. Knowledge-Based Systems, 207, 106368.
- Kamalov, F., Smail, L., & Gurrib, I. (2020, December). Forecasting with Deep Learning: S&P 500 index. In 2020 13th International Symposium on Computational Intelligence and Design (ISCID) (pp. 422-425). IEEE.
- Kamalov, F., Smail, L., & Gurrib, I. (2020, December). Forecasting with Deep Learning: S&P 500 index. In 2020 13th International Symposium on Computational Intelligence and Design (ISCID) (pp. 422-425). IEEE.
- Kamalov, F., Smail, L., & Gurrib, I. (2020, November). Stock price forecast with deep learning. In 2020 International Conference on Decision Aid Sciences and Application (DASA) (pp. 1098-1102). IEEE.
- Thabtah, F., Hammoud, S., Kamalov, F., & Gonsalves, A. (2020). Data imbalance in classification: Experimental evaluation. Information Sciences, 513, 429–441.
- Thabtah, F., Kamalov, F., Hammoud, S., & Shahamiri, S. R. (2020). Least Loss: A simplified filter method for feature selection. Information Sciences, 534, 1-15.
- Thabtah, F., Kamalov, F., & Rajab, K. (2018). A new computational intelligence approach to detect autistic features for autism screening. International Journal of Medical Informatics, 117, 112–124.
- Okash, A., Kamalov, F., Hamidi, S., Roberts, C., & Abdulnasir, S. (2020). Data mining in the time of COVID-19. PalArch’s Journal of Archaeology of Egypt / Egyptology, 17(8), 224-248.
- Kamalov, F. (2020). Forecasting significant stock price changes using neural networks. Neural Computing and Applications, 32, 17655–17667.
- Kamalov, F. (2020). Generalized feature similarity measure. Annals of Mathematics and Artificial Intelligence, 88, 987–1002.
- Kamalov, F., Leung, H.H. & Moussa, S. (2020). Monotonicity of the χ2-statistic and Feature Selection. Annals of Data Science.
- Gurrib, I., Elsharief, E., & Kamalov, F. (2020). The effect of energy cryptos on efficient portfolios of key energy listed companies in the S&P composite 1500 energy index. International Journal of Energy Economics and Policy, 10(2), 179–193.
- Gurrib, I., Kamalov, F. & Elshareif, E. (2021). Can the leading us energy stock prices be predicted using Ichimoku clouds? International Journal of Energy Economics and Policy. 11(1), 41-51.
- Gurrib, I., & Kamalov, F. (2019). The implementation of an adjusted relative strength index model in foreign currency and energy markets of emerging and developed economies. Macroeconomics and Finance in Emerging Market Economies, 12(2), 105–123.
- Kamalov, F. (2019). Sensitivity Analysis for Feature Selection. In Proceedings - 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018 (pp. 1466–1470).