Home \ Faculty Details \ Jawad Fawaz Al-Asad, Ph.D.
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  • Phone:

    +966-13-849-9395

  • Email:

    jalasad@pmu.edu.sa

  • Office No:

    S-007

  • Jawad Fawaz Al-Asad, Ph.D.

  • Job Title :

    Assistant Professor

  • College :

    College of Engineering


  • Department :

    Electrical Engineering


Dr. Al-Asad is an Assistant Professor in the Electrical Engineering department at Prince Mohammad Bin Fahd University (PMU). Dr. Al-Asad earned his PhD in Electrical Engineering from the University of Wisconsin-Milwaukee, USA in 2009 in two areas of interest; Telecommunications and Biomedical Engineering. His PhD research is in the field of biomedical signal and image processing and reconstruction. After he earned his PhD he joined DeVry University-USA as a senior professor teaching in the biomedical, electrical and computer engineering technology majors.
Dr. Al-Asad has developed several algorithms and schemes for biomedical signal and image processing before reconstruction including despeckling schemes for front-end, mid-end and back-end of the medical ultrasound imaging system, also developed a hybrid channel assignment scheme for efficient spectrum utilization in cellular communication systems. His current research interests are in the general area of Biomedical Imaging, the general area of biomedical Signal and Image processing, Wireless communications and Spectrum utilization.

 

  • Ph.D. in Electrical Engineering, University of Wisconsin-Milwaukee, USA, October 2009.
  • M.Sc. in Electrical Engineering, University of Jordan, Jordan, May 1999.
  • B.Sc. in Electrical Engineering, University of Engineering and Technology, Pakistan, October 1994.

 

 

Publications, Journal, Conferences, Workshops, etc.

  • Jawad F. Al-Asad and Hiren Mewada, "Fourier Synchrosqueezed Transform When Used for Medical OCT Image Enhancement", IEEE international Symposium on Advanced Electrical and Communication Technologies (ISAECT), Al Khobar, Saudi Arabia on 3-5 December 2024

  • Reem Aljamrah, Renad Abu Zaytoon and Jawad F. Al-Asad, "An Innovative LoRa Based Health-Monitoring System",  IEEE international Symposium on Advanced Electrical and Communication Technologies (ISAECT), Al Khobar, Saudi Arabia on 3-5 December 2024 

  • Hiren Mewada, Jawad F. Al-Asad, Nayeemuddin Mohammed and Himanshu Patel, "Leveraging Spatial and Temporal Features using CNN-LSTM for Improved Bone Fracture Classification from X-ray Images", IEEE international Symposium on Advanced Electrical and Communication Technologies (ISAECT), Al Khobar, Saudi Arabia on 3-5 December 2024 

  • Jawad F. Al-Asad, "Median Based Annoying Spikes Adaptive Denoising (ASAD)", The 20th IEEE International Conference on Imaging Systems & Techniques (IST), Tokyo, Japan on 14-16 October 2024.

  • Jawad F. Al-Asad, Hiren Mewada, Aymen Flah, Amit V. Patel, “Discrete Cosine Stockwell Transform vs. Discrete Cosine Transform in despeckling OCT images”, IEEE International Conference on Electrical, Computer, and Energy Technologies (ICECET), Cape Town, South Africa on 16-17 November 2023.

  • Jawad F. Al-Asad, Hiren Mewada, Aymen Flah, Amit V. Patel. " A projection based Fourier synchrosqueezed transform for restoring the medical OCT image ", IEEE  International Symposium on Advanced Electrical and Communication Technologies (ISAECT), Casablanca, Morocco, March 2023.
  • Yellapragada Venkata Pavan Kumar, Lagudu Venkata Suresh Kumar, Duggirala Venkata Naga Ananth, Challa Pradeep Reddy, Aymen Flah, Habib Kraiem, Jawad F. Al-Asad, Hossam Kotb, Kareem M. Aboras, Performance Enhancement of Doubly Fed Induction Generator–Based Wind Farms With STATCOM in Faulty HVDC Grids. Front. Energy Res., 13 July 2022. Sec. Smart Grids. https://doi.org/10.3389/fenrg.2022.930268
  • S. N. V. Bramareswara Rao, Y. V. Pavan Kumar, D. John Pradeep, Ch. Pradeep Reddy, Aymen Flah, Habib Kraiem and Jawad F. Al-Asad. Power Quality Improvement in Renewable-Energy-Based Microgrid Clusters Using Fuzzy Space Vector PWM Controlled Inverter. Sustainability 2022, 14, 4663. https://doi.org/10.3390/su14084663
  • Adil H. Khan, D.N.F. Awang Iskandar, Jawad F. Al-Asad, Hiren Mewada, Muhammad Abid Sherazi Ensemble Learning of Deep Learning and Traditional Machine Learning Approaches for Skin Lesion Segmentation and Classification. 03 March 2022 https://doi.org/10.1002/cpe.6907

 

Books:

Jawad F. Al-Asad, Nonlinear de-speckling in the medical ultrasound imaging system, ProQuest, ISBN-10: 1243441046, Sep. 2011.

 

Patents:

Jawad F. Al-Asad, Suppressing speckle noise in medical ultrasound images, US17/510,937 

 

  • IEEE, Institute of Electrical and Electronics Engineers.
  • IEEE, Signal Processing Society.
  • IEEE, Ultrasonics, Ferroelectrics and Frequency Control Society.

 

 

Google Scholar

 

http://scholar.google.com/citations?user=RG3dPn0AAAAJ&hl=en

 

Current research interests are in Biomedical Imaging, Biomedical Signal and Image processing, Wireless telecommunications, Renewable energy.

 

  • Institute of Electrical and Electronic Engineers (IEEE).
  • Jordan Engineers Asscociation (JEA).