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.
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Ph.D. in Electrical Engineering, University of Wisconsin-Milwaukee, USA, October 2009.
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M.Sc. in Electrical Engineering, University of Jordan, Jordan, May 1999.
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B.Sc. in Electrical Engineering, University of Engineering and Technology, Pakistan, October 1994.
Publications, Journal, Conferences, Workshops, etc.
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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
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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
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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
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Sagarkumar Patel, Amit Patel, Dharmendra Chauhan, Alpesh Vala, Keyur Mahant, Hiren Mewada, Jawad F. Al-Asad. "Impact of antenna spacing on Differential Spatial Modulation and Spatial Modulation for 5G-Based Compact Wireless Devices," 2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT), 2021, pp. 01-06, doi: 10.1109/ISAECT53699.2021.9668400.
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A. V. Patel, J. Chaudhari, A. Vala, H. Mewada, K. Mahant and Jawad F. Al-Asad, "Wideband LNA in 0.18 μm CMOS Technology," 2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT), 6-8 December 2021, Alkhobar, Saudi Arabia, pp. 1-4, doi: 10.1109/ISAECT53699.2021.9668493.
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Hiren Mewada, Jawad F. Al-Asad, Amit Patel, Jitendra Chaudhari, Keyur Mahant, Alpesh Vala. Multi-channel Local Binary Pattern Guided Convolutional Neural Network for Breast Cancer Classification, The open biomedical engineering journal, Vol. 15(2), 31 December, 2021, pp. 132-140 2021
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Jawad F. Al-Asad & Hiren K. Mewada & Adil H. Khan & Nidal Abu-libdeh & Jamal F. Nayfeh, (2021). Frequency domain despeckling technique for medical ultrasound images. Journal of Electrical Engineering. 72. 229-239. DOI:10.2478/jee-2021-0032.
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Mewada H, Jawad F. Al-Asad, Patel A, Chaudhari J, Mahant K, Vala A. 2021. A fast region-based active contour for non-rigid object tracking and its shape retrieval. PeerJ Computer Science 7:e373, https://doi.org/10.7717/peerj-cs.373
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Jawad F. Al-Asad, "Ultrasound image restoration through orthogonal and oblique subspace projection based on Lanczos decomposition," J. Electron. Imag. 30(3) 033001 (6 May 2021), https://doi.org/10.1117/1.JEI.30.3.033001
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Adil H. Khan, DNF Iskandar, Jawad F. Al-Asad, Samir El-Nakla, “Classification of skin lesion with hair and artifacts removal using black-hat morphology and total variation” International Journal of Computing and Digital Systems, Vol 10, No. 1, May 2021.
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Adil H. Khan, DNF. Awang Iskandar, Jawad F. Al-Asad, Samir El-Nakla, Sadiq A Alhuwaidi, “Statistical feature learning through enhanced delaunay clustering and ensemble classifiers for skin lesion segmentation and classification,” Journal of Theoretical and Applied Information Technology, Vol.99. No 5, March 2021.
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Hiren K. Mewada, Jawad F. Al-Asad, Adil H. Khan, “Change detection using auto optimized k-means algorithm” IEEE - International Symposium on Advanced Electrical and Communication Technologies (ISAECT), Morocco, Knitra, November 2020.
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Jawad F. Al-Asad, Muhammad O. Butt, and Adil H. Khan, “Spectral Decomposition By Schur for Medical Ultrasound Image Denoising,” IEEE - International Symposium on Advanced Electrical and Communication Technologies (ISASET), Rome, Italy, November 2019.
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Muhammad O. Butt, Jawad F. Al-Asad, Adil H. Khan, and D.N.F. Awang Iskandar, “Ultrasound Image Denoising Using Orthogonal Decomposition in Frequency Domain,” IEEE International Conference on System Engineering and Technology (ICSET), Malaysia, October 2019.
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Jawad F. Al-Asad, "Medical Ultrasound Image: A Pre-processing Approach towards Reconstruction", IEEE International Symposium on Advanced Electrical and Communication Technologies (ISAECT), Kenitra Morocco, Nov. 2018.
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Jawad F. Al-Asad, Adil H. Khan, Ghazanfar Latif and Hajji W. “QR based Despeckling Approach for Medical Ultrasound Images”, Current Medical Imaging, Vol. 15, Issue 7, 2019
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Adil H. Khan, Jawad F. Al-Asad and Ghazanfar Latif. “Speckle suppression in medical ultrasound images through Schur decomposition”, IET image Processing, Vol. 12, Issue 3, 2018
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Jawad F. Al-Asad and Adil H. Khan, "QR based De-noising Scheme for Medical Ultrasound Images", IEEE GCC Conference & Exhibition - Manama, Bahrain, 8-11 May 2017.
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Ghazanfar Latif, M. Mohsin Butt, Adil H. Khan , M. Omair Butt , Jawad F. Al-Asad ," Automatic Multimodal Brain Image Classification using MLP and 3D Glioma Tumor Reconstruction", IEEE GCC Conference & Exhibition - Manama, Bahrain, 8-11 May 2017.
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Jawad F. Al-Asad, "Image Restoration before Downsampling in Medical Ultrasound", IEEE International Conference on Communication, Management and Information Technology (ICCMIT), Warsaw-Poland, 3-5 April 2017.
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Jawad F. Al-Asad, “Despeckling the 2D Medical Ultrasound Image through Individual Despeckling of the Envelopes of Its 1D Radio Frequency Echo Lines by STFT", Journal of Image and Graphics (JOIG), Vol. (4), No. 2, December 2016
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Omar K.M. Ouda, Syed A. Raza, Rafat Al-Waked , Jawad F. Al-Asad , Abdul-Sattar Nizami (2015),
Waste-to-energy potential in the Western Province of Saudi Arabia. Journal of King Saud University – Engineering Sciences
http://dx.doi.org/10.1016/j.jksues.2015.02.002
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Omar K. M., Jawad F. Al-Asad, Andi Asiz (2014), An Assessment of Student’s Motivations to Join College of Engineering: Case Study at Prince Mohammad Bin Fahd University - Saudi Arabia, the 2014 IEEE 6th International Conference on Engineering Education ICEED2014, 9th - 10th Dec 2014 in Kuala Lumpur, Malaysia.
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Jawad F. Al-Asad, Alireza Moghadamjoo and Udomchai Techavipoo, “An Ultrasound Image Despeckling Approach based on Principle Component Analysis,” International Journal of Image Processing (IJIP), Volume (8) : Issue (4) : 2014.
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Jawad F. Al-Asad, “ Transform Domain based Approah for Medical Ultrasound Image De-speckling Through Overlapping Blocks” IASTED International Conference on Computational Bioscience. Cambridge, United Kingdom, July 2011
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Jawad F. Al-Asad and Alireza Moghadamjoo,” Short-time Fourier Transform and Wigner-Ville Transform for Ultrasound Image De-noising Through Dynamic Mask Thresholding,” IEEE International Conference on Bioinformatics and Biomedical Engineering. Chengdu, China, June 2010
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Jawad F. Al-Asad, Alireza Moghadamjoo and Leslie Ying,” Ultrasound Image De-noising through K-L Transform with Overlapping Segments,” IEEE International Symposium on Biomedical imaging: From nano to Macro. Boston-USA, June 2009.
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Ahmad M. Mustafa and Jawad F. Al-Asad, “Channel Borrowing with Minimal Locking (CBML) for Efficient Spectrum Utilization in Cellular Systems”. J. King Saud Univ., Vol.15, Eng. Sci.(2), pp.157-288 Eng., I-23 Ar., Riyadh, 2003.
Book
Jawad F. Al-Asad, Nonlinear de-speckling in the medical ultrasound imaging system, ProQuest, ISBN-10: 1243441046, Sep. 2011.
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IEEE, Institute of Electrical and Electronics Engineers.
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IEEE, Signal Processing Society.
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IEEE, Ultrasonics, Ferroelectrics and Frequency Control Society.
Current research interests are in Biomedical Imaging, Biomedical Signal and Image processing, Wireless telecommunications, Renewable energy.
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Institute of Electrical and Electronic Engineers (IEEE).
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Jordan Engineers Asscociation (JEA).
