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mohammad-alshayeji

Academic

Dr.

Mohammad H. Al-Shayeji

Associate Professor

Office Location:
S02E1162

-    Date of Birth: August 22, 1966
-    Nationality: Kuwaiti
-    Marital Status: Married
-    Address: Kuwait University, College of Engineering and Petroleum,
-    Department of Computer Engineering, P.O. Box 5969 Safat 13060
 

Education

Degree Discipline Institution Year
Ph.D Computer Science University of Southern California 1999
M.S. Computer Science University of Central Florida 1994
B.S. Computer Engineering University of Miami 1989

 

Research Interests

• Artificial Intelligence
• Machine Learning
• Image Processing
• Multimedia Systems
• Computer Security
• Distributed Systems
• Very Large-Scale Integration (VLSI)


Courses Taught

CPE
505
Advanced Operating Systems
CPE
341
Database Management Systems
CPE
203
Discrete Structures
CPE
201
Advance Computer Programming
CPE
200
Computer Programming for Engineers

Selected Publications

Books

Sa’ed Abed, Salam I. Nachawi and Mohammad Alshayeji, "Efficient Implementation of Parallel SAT Solver Based Stochastic Local Search," Nova Science Pub Inc., January 2020, ISBN: 978-1-53617-001-6 [88 pages], https://novapublishers.com/shop/efficient-implementation-of-parallel-sat-solver-based-stochastic-local-search/.

Refereed Journal Papers Published/Accepted

  • Mohammad H. Alshayeji, “Alzheimer's disease detection and stage identification from magnetic resonance brain images using vision transformer”, Machine Learning: Science and Technology. 5 (2024), 035011, ISSN:2632-2153, DOI: https://doi.org/10.1088/2632-2153/ad5fdc  (IF: 6.34, Q1 JCR (Journal Citation Reports))
    2.    Mohammad H. Alshayeji, “CAD system for epileptic seizure detection from EEG through image processing and SURF-BOF technique”, Machine Learning: Science and Technology. 4 (2023), 045029, ISSN: 2632-2153, DOI: https://doi.org/10.1088/2632-2153/ad0572 (IF: 6.34, Q1 JCR (Journal Citation Reports))
    3.    Mohammad H. Alshayeji, “Early Thyroid Risk Prediction by Data Mining and Ensemble Classifiers”, Machine Learning and Knowledge Extraction. 2023, 5(3), 1195-1213; https://doi.org/10.3390/make5030061 (IF: 3.8, Q2 JCR (Journal Citation Reports)). 
    4.    Mohammad H. Alshayeji, Al-Buloushi, J. “Breast Cancer Classification Using Concatenated Triple Convolutional Neural Networks Model”, Big Data and Cognitive Computing. 2023, 7, 142. https://doi.org/10.3390/bdcc7030142 (IF: 3.6, Q2 JCR (Journal Citation Reports)).
  • Mohammad H. Alshayeji, Sa'ed Abed, and Silpa ChandraBhasi Sindhu, “Two-stage framework for diabetic retinopathy diagnosis and disease stage screening with ensemble learning”, Expert Systems with Applications, 225, 2023, 120206, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2023.120206 (https://www.sciencedirect.com/science/article/pii/S095741742300708X) (IF: 8.665, Q1 JCR (Journal Citation Reports))
  • Mohammad H. Alshayeji, S. Abed, “Lung cancer classification and identification framework with automatic nodule segmentation screening using machine learning”, Applied Intelligence, Mar 2023, 10.1007/s10489-023-04552-1, https://doi.org/10.1007/s10489-023-04552-1
  • Mohammad H. Alshayeji, Silpa ChandraBhasi Sindhu, and Sa'ed Abed, “Viral genome prediction from raw human DNA sequence samples by combining natural language processing and machine learning techniques”, Expert Systems with Applications, 2023, 119641, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2023.119641
  • Mohammad H. Alshayeji, ChandraBhasi Sindhu, S. and Abed, S. “Early detection of diabetic foot ulcers from thermal images using the bag of features technique”. Biomedical Signal Processing and Control, Volume 79, Part 2, Jan. 2023, 104143, ISSN: 1746-8094, Online ISSN: 1746-8108, DOI: https://doi.org/10.1016/j.bspc.2022.104143.
  • Mohammad H. Alshayeji, ChandraBhasi Sindhu, S.  and Abed, S. “CAD systems for COVID-19 diagnosis and disease stage classification by segmentation of infected regions from CT images”. BMC Bioinformatics 23, 264, Jul. 2022, ISSN: 1471-2105, Online ISSN: 1471-2105, DOI: https://doi.org/10.1186/s12859-022-04818-4
  • Mohammad H. Alshayeji, Al-Roomi, S.A. & Abed, S. “Efficient hand vein recognition using local keypoint descriptors and directional gradients”, Multimedia Tools and Applications (2022). https://doi.org/10.1007/s11042-022-12608-6
  • Mohammad H. Alshayeji and Mousa AlSulaimi, Sa'ed Abed, and Reem Jaffal. "Network Intrusion Detection with Auto-Encoder and One-Class Support Vector Machine," International Journal of Information Security and Privacy (IJISP) 16, no.1: 1-18, 2022.
  • Mohammad H. Alshayeji, Hanem Ellethy, Sa'ed Abed, Renu Gupta, “Computer-aided detection of breast cancer on the Wisconsin dataset: An artificial neural networks approach”, Biomedical Signal Processing and Control, Volume 71, Part A, 2022.
  • Mohammad H. Alshayeji, Sa'ed Abed, "Enhanced VoD Security in Cloud Computing Against Insider and Outsider Threats”, International Journal of Security and Networks, Vol. 17, No. 1, 2022
  • Mohammad H. Alshayeji, Behbehani, B, Ahmad, I. “Spark-based parallel processing whale optimization algorithm”, Concurrency and Computation Practice and Experience, 2022; 34(4): e6607. https://doi.org/10.1002/cpe.6607
  • Abed, S, Mohd, BJ, Hayajneh, T, Mohammad H. Alshayeji, “Hardware Trojan detection for lightweight ciphers implemented on field-programmable gate arrays using the replay algorithm,” International Journal of Circuit Theory and Applications, 2021; 49(11): 3607- 3629. https://doi.org/10.1002/cta.3098
  • Mohammad H. Alshayeji, Al-Buloushi, J., Ashkanani, A., and Abed, S. “Enhanced brain tumor classification using an optimized multi-layered convolutional neural network architecture”, Multimedia Tools and Applications, 80, 28897–28917 (2021). https://doi.org/10.1007/s11042-021-10927-8 
  • Abed, S., Jaffal, R., Mohd, B.J., Mohammad H. Alshayeji, “An analysis and evaluation of lightweight hash functions for blockchain-based IoT devices”, Cluster Computing 24, 3065–3084 (2021). https://doi.org/10.1007/s10586-021-03324-1 
  • Areej Ahmad Abdelaal, Sa'ed Abed, Mohammad Al-Shayeji, Mohammad Allaho, “Customized frequent patterns mining algorithms for enhanced Top-Rank-K frequent pattern mining”, Expert Systems with Applications, Volume 169, 2021, 114530, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2020.114530.
  • Abed, S, Abdelaal, AA, Mohammad H. Alshayeji, Ahmad, I. “SAT-based and CP-based declarative approaches for Top-Rank-K closed frequent itemset mining”, International Journal of Intelligent Systems, 2021; 36: 112− 151. https://doi.org/10.1002/int.22294.
  • Abed, S., Jaffal, R., Mohd, B.J. and Mohammad H. Alshayeji (2021), “Performance evaluation of the SM4 cipher based on field-programmable gate array implementation”, IET Circuits Devices Syst, 15: 121-135. https://doi.org/10.1049/cds2.12011 
  • Bassam Jamil Mohd, Sa’ed Abed, Thaier Hayajneh and Mohammad H. Alshayeji, "Run-Time Monitoring and Validation Using Reverse Function (RMVRF) for Hardware Trojans Detection," in IEEE Transactions on Dependable and Secure Computing, vol. 18, no. 6, pp. 2689-2704, 1 Nov.-Dec. 2021, doi: 10.1109/TDSC.2019.2961902.
  • Sa’ed Abed, Mohammed H. Ali, and Mohammad H. Alshayeji, "Enhanced GPU based Anti-Noise Hybrid Edge Detection Method," Computer Systems Science and Engineering (CSSE), Vol. 35, No. 1, pp. 21-37, Jan. 2020
  • Khalil, Y, Mohammad H. Alshayeji, Ahmad, I. “Distributed Whale Optimization Algorithm based on MapReduce”, Concurrency and Computation: Practice and Experience, 2019; 31: e4872. https://doi.org/10.1002/cpe.4872 
  • Abed, S., Al-Roomi, S.A. & Mohammad H. Alshayeji, "Efficient cover image selection based on spatial block analysis and DCT embedding," EURASIP Journal on Image and Video Processing, 2019, 87 (2019). https://doi.org/10.1186/s13640-019-0486-8 
  • Sa'ed Abed, Mohammad H. Alshayeji, Fahad Ebrahim, “A secure and energy-efficient platform for the integration of Wireless Sensor Networks and Mobile Cloud Computing", Computer Networks, Volume 165, 2019, 106956, ISSN 1389-1286, https://doi.org/10.1016/j.comnet.2019.106956.
  • Sahel Al-Ouneh, Sa'ed Abed, Mohammad H. Alshayeji, and Raed Mesleh, “A comprehensive study and analysis on SAT-solvers: advances, usages and 33 achievements", Artificial Intelligence Review, Vol. 52, Issue: 4, pp. 2575-2601, Dec. 2019, Springer, Netherlands, DOI: 10.1007/s10462-018-9628-0
  • Sa’ed Abed, Mohammad H. Alshayeji, and Sari Sultan, “Diacritics Effect on Arabic Speech Recognition", Arabian Journal for Science and Engineering, Vol. 44, No. 11, pp. 9043-9056, Springer Berlin Heidelberg, November 2019, DOI: https://doi.org/ 10.1007/s13369-019-04024-0. 
  • Sa’ed Abed, Bassam Jamil Mohd, and Mohammad H. Alshayeji, “Implementation of Speech Feature Extraction for Low-Resource Devices", IET Circuits, Devices & Systems, Vol. 13, No. 6, pp. 863-872", The Institution of Engineering and Technology, September 2019, DOI: 10.1049/ietcds.2018.5225
  • Abed S, Jaffal R, Mohd BJ, Mohammad H. Alshayeji, “FPGA Modeling and Optimization of a SIMON Lightweight Block Cipher. Sensors (Basel). 2019 Feb 21;19(4):913. DOI: 10.3390/s19040913.
  • Sahel Alouneh, Sa'ed Abed, Mohammad H. Alshayeji and Raed Mesleh, “A comprehensive study and analysis on SAT-solvers: advances, usages and achievements,” To appear in Artificial Intelligence Review, Springer, Netherlands, published online March 2018).
  • Mohammad H. Alshayeji, Mohammad Al-Rousan, Eman Yossef, Hanem Ellethy, “A Study on Fault Tolerance Mechanisms in Cloud Computing”, International Journal of Computer and Electrical Engineering (IJCEE), Vol.10 (1): 62-71, 2018.
  • Mohammad H. Alshayeji, Yousef Sharaf, Sa’ed Abed, M.D. Samrajesh “AN ENHANCED VOD STREAMING MODEL FOR P2P CLOUD COMPUTING SYSTEMS”, Journal of Telecommunication, Electronic and Computer Engineering (JTEC), Vol. 9 No. 2-6:11-15, 2018.
  • Mohammad H. Alshayeji, Suood Abdulaziz Al-Roomi, and Sa’ed Abed, A high-capacity and secure least-significant-bit embedding approach based on word and letter frequencies, Security and Communication Networks, Vol. 9, No. 18, pp. 5764-5788, 2016.
  • Sa’ed Abed, Suood Abdulaziz Al-Roomi, and Mohammad H. Alshayeji. Effective optic disc detection method based on swarm intelligence techniques and novel pre-processing steps, Applied Soft Computing, vol. 49, pp. 146-163, 2016.

Work Experience

Academic Experience
Institution Designation Year/Period
Kuwait University, Kuwait Associate Professor Dec,1999 –present
under Kuwait University Scholarship, USA Research Scholar Aug, 1995- Dec,1999
The Public Authority for Applied Education and Training (PAAET) Faculty Member May, 1992- Aug,1995
Industry Experience
Organization Designation Year/Period
Schlumberger Field Engineer Mar,1991-May,1992
The Public Authority for Applied Education and Training (PAAET) Computer Engineer Dec, 1989- Mar,1991