Ghasem Alipoor
Assistant Professor
PhD in Electrical Electronic Engineering
Signal Processing
Machine/Deep Learning

https://scholar.google.com/citations?hl=en&user=7Gq1AukAAAAJ

Telephone: +98(81)38411530
Email: alipoor@hut.ac.ir, g.alipoor@gmail.com
Address: Shahid Fahmideh St., Hamedan, IRAN
CV
Website: https://www.linkedin.com/in/qasim-elipur/
Research Interests 
  • Machine/Deep Learning
  • Fault Diagnosis
  • Speech and Audio Signal Processing
Publications
  1. M. H. Savoji and G. Alipoor, “Speech Coding using Non-Linear Prediction Based on Volterra Series Expansion,” Iranian Journal of Electrical and Computer Engineering (IJECE), vol. 5, no. 1, pp. 1-9, 2007 (in Farsi). http://ijece.saminatech.ir/Article/27860
  2. G. Alipoor and M. H. Savoji, “Employing Volterra Filters in the ADPCM Technique for Speech Coding: A Comprehensive Investigation,” European Transactions on Telecommunications, Wiley & Sons, Ltd, vol. 22, no. 2, pp. 81-92, 2011. https://doi.org/10.1002/ett.1440
  3. G. Alipoor and M. H. Savoji, “Nonlinear Backward ADPCM Speech Coding Using Kernel Methods and Online Sparsification,” Transactions on Emerging Telecommunications Technologies, vol. 25, no. 2, pp. 161-172, 2014. https://doi.org/10.1002/ett.2549
  4. G. Alipoor and M. H. Savoji, “Reconstruction Noise Spectral Shaping in the ADPCM Codec with Backward Prediction,” Iranian Journal of Electrical and Computer Engineering (IJECE), vol. 12, no. 2, pp. 75-80, 2014, (in Farsi). http://ijece.saminatech.ir/fa/Article/28088
  5. G. Alipoor and M. H. Savoji, “8 kbps Speech Coding using KLMS Prediction, Look-Ahead Adaptive Quantization and Pre-Emphasized Noise Reduction,” International Journal of Information and Communication Technology Research, vol. 7, no. 3, pp. 11-19, 2015. https://ijict.itrc.ac.ir/article-1-90-en.html
  6. G. Alipoor, “Utilizing Kernel Adaptive Filters for Speech Enhancement within the ALE Framework,” Iranian Journal of Electrical and Electronic Engineering, vol. 13, no. 4, pp. 303-309, 2017. http://ijeee.iust.ac.ir/article-1-1044-en.html
  7. G. Alipoor and E. Samadi, “Robust Gender Identification using EMD-Based Cepstral Features,” Asia-Pacific Journal of Information Technology & Multimedia. vol.7, pp. 71-81, 2018. dx.doi.org/10.17576/apjitm-2018-0701-06
  8. M. K. Eghbal G. Alipoor, “LMSK: a robust higher-order gradient-based adaptive algorithm,” IET Signal Processing, vol. 13, no. 5, pp. 506-515, 2019. https://doi.org/10.1049/iet-spr.2018.5242
  9. E. Samadi and G. Alipoor, “Efficient band selection for improving the robustness of the EMD-based cepstral features,” Sādhanā, vol. 44, no. 3, pp. 54-63, 2019. https://doi.org/10.1007/s12046-019-1052-x
  10. M. K. Eghbal and G. Alipoor, “An Analytical Model for Predicting the Convergence Behavior of the Least Mean Mixed-Norm (LMMN) Algorithm,” Signal and Data Processing, vol. 18, no. 3, pp. 19-28, 2021, (in Farsi). https://jsdp.rcisp.ac.ir/article-1-1002-en.html
  11. G. Alipoor, et al. “Incipient detection of stator inter-turn short-circuit faults in a Doubly-Fed Induction Generator using deep learning,” IET Electric Power Applications, vol. 17, no.2, pp. 256– 267, 2023. https://doi.org/10.1049/elp2.12262
  12. G. Alipoor and K. Skretting, “Kernel Recursive Least Squares Dictionary Learning Algorithm,” Digital Signal Processing: a review journal, vol.141, September 2023. https://doi.org/10.1016/j.dsp.2023.104159
  13. N. Siavash-Abkenari, G. Rahmani-Sane, H. Torkaman and G. Alipoor, "Exploring a Cutting-Edge Framework for Bearing Fault Detection: A Synergistic Approach Integrating Statistical Analysis and Deep Learning Methods," in IEEE Journal of Emerging and Selected Topics in Industrial Electronics, vol. 5, no. 3, pp. 1226-1233, July 2024, doi: 10.1109/JESTIE.2024.3373313.
  14. N. Amani, G. Alipoor, A. Kokabi, and R. A. Naghizadeh, “Sensitivity Analysis of Meteorological Variables in Load Forecasting Using LSTM.” (Under Review).
  15. N. Amani, A. Kokabi, G. Alipoor, and R. A. Naghizadeh, “Power Consumption Forecast Enhancement Using Transformer Model and Inclusion of Thermal Comfort Indices,” (Under Review).
Courses Taught
  • Undergraduate: Electric Circuits I, Signals & Systems, Electronic Circuits, Electric Circuits Lab, Communication Circuits Lab, Digital Electronics Lab, DSP, DSP Lab (using TI DSP processors)
  • Graduate: Advanced DSP, Adaptive Filters, Pattern Recognition, Speech Processing
Academic Experiences
Honors and Awards