Waddah Waheeb Hassan Saeed
Postdoctoral Research Fellow
Research interests
Time series, Forecasting, Data Science, Artificial Intelligence
Work experience
Lecturer / Assistant Professor, Asia Pacific University of Technology and Innovation (APU), Malaysia, Oct 2019 - Sep 2020.
Graduate Research Assistant, Universiti Tun Hussein Onn Malaysia, Malaysia, Aug 2016 - Jan 2019.
Computer Programmer, Yemen Dairy & Juice Industries (S.Y.C), Yemen, Nov 2008 - Dec 2012.
Teaching Assistant, Hodeidah University, Yemen, 2007 - 2012.
Selected publications
Waheeb, W., Shah, H., Jabreel, M., & Puig, D. (2020). Bitcoin Price Forecasting: A Comparative Study Between Statistical and Machine Learning Methods.
Waheeb, W., Shah, H., Jabreel, M., Robotics, I. I., & Puig, D. (2020). Ridge Polynomial Neural Network with Error Feedback for Recursive Multi-step Forecast Strategy: A Case Study of Carbon Dioxide Emissions Forecasting.
Waheeb, W., & Ghazali, R. (2019). A new genetically optimized tensor product functional link neural network: an application to the daily exchange rate forecasting. Evolutionary Intelligence, 12(4), 593-608.
Waheeb, W., & Ghazali, R. (2019). A novel error-output recurrent neural network model for time series forecasting. Neural Computing and Applications, 1-27.
Waheeb, W., & Ghazali, R. (2019). Forecasting the Behavior of Gas Furnace Multivariate Time Series Using Ridge Polynomial Based Neural Network Models. IJIMAI, 5(5), 126-133.
Waheeb, W., Ghazali, R., & Shah, H. (2019). Nonlinear Autoregressive Moving-average (NARMA) Time Series Forecasting Using Neural Networks. In 2019 International Conference on Computer and Information Sciences (ICCIS) (pp. 1-5). IEEE.
Waheeb, W., Ghazali, R., & Hussain, A. J. (2018). Dynamic ridge polynomial neural network with Lyapunov function for time series forecasting. Applied Intelligence, 48(7), 1721-1738.
Waheeb, W., Ghazali, R., Ismail, L. H., & Abd Kadir, A. (2018). Modelling and Forecasting Indoor Illumination Time Series Data from Light Pipe System. In International Conference of Reliable Information and Communication Technology (pp. 57-64). Springer, Cham.
Waheeb, W., & Ghazali, R. (2017). Content-based SMS Classification: Statistical Analysis for the Relationship between Number of Features and Classification Performance. Computación y Sistemas, 21(4), 771-785.
Waheeb, W., Ghazali, R., & Herawan, T. (2016). Ridge polynomial neural network with error feedback for time series forecasting. PloS one, 11(12), e0167248.
Waheeb, W., & Ghazali, R. (2016). Chaotic time series forecasting using higher order neural networks. International Journal on Advanced Science, Engineering and Information Technology, 6(5), 624-629.
Waheeb, W., Ghazali, R., & Herawan, T. (2016). Time series forecasting using ridge polynomial neural network with error feedback. In International Conference on Soft Computing and Data Mining (pp. 189-200). Springer, Cham.
Waheeb, W., Ghazali, R., & Herawan, T. (2016). Time series forecasting using ridge polynomial neural network with error feedback. In International Conference on Soft Computing and Data Mining (pp. 189-200). Springer, Cham.
Waheeb, W., Ghazali, R., & Deris, M. M. (2015). Content-based sms spam filtering based on the scaled conjugate gradient backpropagation algorithm. In 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) (pp. 675-680). IEEE.
Scientific publications
- Saeed, Waddah; Omlin, Christian Walter Peter (2023). Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities. Knowledge-Based Systems. ISSN: 0950-7051. 263doi:10.1016/j.knosys.2023.110273.
- Kiguchi, Mai; Saeed, Waddah; Medi, Imran (2022). Churn prediction in digital game-based learning using data mining techniques: Logistic regression, decision tree, and random forest. Applied Soft Computing. ISSN: 1568-4946. 118doi:10.1016/j.asoc.2022.108491.
- Saeed, Waddah (2022). Frequency-based ensemble forecasting model for time series forecasting. Computational & Applied Mathemathics. ISSN: 2238-3603. 41doi:10.1007/s40314-022-01765-x.
- Saeed, Waddah (2021). Comparison of Automated Machine Learning Tools for SMS Spam Message Filtering. Advances in Cyber Security - ACeS 2021. ISBN: 978-981-16-8059-5. Springer Nature. chapter. s 307 - 316.
- Waheeb, Waddah; Ghazali, Rozaida (2019). A new genetically optimized tensor product functional link neural network: an application to the daily exchange rate forecasting. Evolutionary Intelligence. ISSN: 1864-5909. doi:10.1007/s12065-019-00261-2.
- Waheeb, Waddah; Ghazali, Rozaida (2019). A novel error-output recurrent neural network model for time series forecasting. Neural Computing & Applications. ISSN: 0941-0643. doi:10.1007/s00521-019-04474-5.
- Waheeb, Waddah; Ghazali, Rozaida (2019). Forecasting the Behavior of Gas Furnace Multivariate Time Series Using Ridge Polynomial Based Neural Network Models. International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI). doi:10.9781/ijimai.2019.04.004.
- Waheeb, Waddah; Ghazali, Rozaida (2018). Dynamic ridge polynomial neural network with Lyapunov function for time series forecasting. Applied intelligence (Boston). ISSN: 0924-669X. doi:10.1007/s10489-017-1036-7.
- Waheeb, Waddah; Ghazali, Rozaida (2017). Content-based SMS Classification: Statistical Analysis for the Relationship between Number of Features and Classification Performance. Journal of Computacion y Sistemas. ISSN: 1405-5546. doi:10.13053/cys-21-4-2593.
- Waheeb, Waddah; Ghazali, Rozaida (2016). Chaotic Time Series Forecasting Using Higher Order Neural Networks. International Journal on Advanced Science, Engineering and Information Technology. ISSN: 2088-5334. doi:10.18517/ijaseit.6.5.958.
- Waheeb, Waddah; Ghazali, Rozaida; Herawan, Tutut (2016). Ridge Polynomial Neural Network with Error Feedback for Time Series Forecasting. PLOS ONE. ISSN: 1932-6203. doi:10.1371/journal.pone.0167248.
- Waheeb, Waddah; Ghazali, Rozaida; Deris, Mustafa (2015). Content-based SMS spam filtering based on the Scaled Conjugate Gradient backpropagation algorithm. 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2015). ISBN: 978-1-4673-7682-2. IEEE.
- Waheeb, Waddah; Shah, Habib; Jabreel, Mohammed; Puig, Domenec (2020). Bitcoin Price Forecasting: A Comparative Study Between Statistical and Machine Learning Methods. ISBN: 9781728154688. IEEE.
- Waheeb, Waddah; Shah, Habib; Jabreel, Mohammed; Puig, Domenec (2020). Ridge Polynomial Neural Network with Error Feedback for Recursive Multi-step Forecast Strategy: A Case Study of Carbon Dioxide Emissions Forecasting. ISBN: 9781728154688. IEEE conference proceedings.
- Waheeb, Waddah; Ghazali, Rozaida; Shah, Habib (2019). Nonlinear Autoregressive Moving-average (NARMA) Time Series Forecasting Using Neural Networks. ISBN: 9781538681268. IEEE conference proceedings.
- Waheeb, Waddah; Ghazali, Rozaida; Ismail, Lokman Hakim; Abd Kadir, Aslila (2018). Modelling and Forecasting Indoor Illumination Time Series Data from Light Pipe System. ISBN: 9783319990071. Springer.
- Waheeb, Waddah; Ghazali, Rozaida (2016). Multi-step Time Series Forecasting Using Ridge Polynomial Neural Network with Error-Output Feedbacks. ISBN: 9789811027772. Springer.
- Waheeb, Waddah; Ghazali, Rozaida; Herawan, Tutut (2016). Time Series Forecasting Using Ridge Polynomial Neural Network with Error Feedback. ISBN: 9783319512815. Springer.
Last changed: 29.10.2020 12:10