Taher Al-Shehari

About

TAHER AL-SHEHARI received the B.S. degree in Computer Science from King Khalid University, Saudi Arabia, in 2007 and the M.S. degree in Com-puter Science from King Fahd University of Petroleum and Minerals (KFUPM), in 2014. From 2011 to 2014, he was a Research Assistant at King Fahd University of Petroleum and Minerals. Since 2015, he is working as a senior lecturer and researcher at King Saud University. His research interests include information security and privacy, insider threat detection and prevention systems, machine learning models and data analysis. His awards and honors include an Honor Award from King Khalid University’s Rector, and Best Designed Curriculum Award from CFY’s Dean, KSU. He is the author of several papers that are published in prestige journals.

Employment

• King Saud University Senior Lecturer
  2015 - Present
• King Fahd University of Petroleum and Minerals Research Assistant
  2012 - 2014
• Alkhaleej Training and Education IT Trainer
  2007 - 2007
• Afaq Net Centers for Internet services Technical Support and Customers Service
  2006 - 2008

Education

• King Fahd University of Petroleum and Minerals Master's Degree
  2011 - 2015
• King Khalid University Bachelor
  2003 - 2008

Projects & Funding

Projects & funding information is unavailable.

Publications (45)

• A modernized approach to sentiment analysis of product reviews using BiGRU and RNN based LSTM deep learning models
  SCIENTIFIC REPORTS 2025 DOI: 10.1038/S41598-025-01104-0
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• A Novel Deep Reinforcement Learning Framework for Energy Management and Prediction in Smart Cities
  Expert Systems 2025 DOI: 10.1111/exsy.70155
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• Unveiling CyberFortis: A Unified Security Framework for IIoT-SCADA Systems with SiamDQN-AE FusionNet and PopHydra Optimizer
  CMC-COMPUTERS MATERIALS & CONTINUA 2025 DOI: 10.32604/CMC.2025.064728
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• Smart Grid Security Framework for Data Transmissions with Adaptive Practices Using Machine Learning Algorithm
  CMC-COMPUTERS MATERIALS & CONTINUA 2025 DOI: 10.32604/CMC.2025.056100
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• Predictive modeling of ALS progression: an XGBoost approach using clinical features (vol 17, 54, 2024)
  BIODATA MINING 2025 DOI: 10.1186/S13040-025-00423-2
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• PermGuard: A Scalable Framework for Android Malware Detection Using Permission-to-Exploitation Mapping
  IEEE Access 2025 DOI: 10.1109/ACCESS.2024.3523629
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• Multi-stage Alzheimer's Disease Classification Using Squeeze Excitation Light Channel Network with a Random Lyrebird: Achieving High Sensitivity and Precision in Early Detection
  COGNITIVE COMPUTATION 2025 DOI: 10.1007/S12559-025-10485-3
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• LEFAM: Lightweight scalable efficient failover authentication mechanism for fog-based IoT environment
  PEER-TO-PEER NETWORKING AND APPLICATIONS 2025 DOI: 10.1007/S12083-025-02039-Z
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• IoT driven healthcare monitoring with evolutionary optimization and game theory
  SCIENTIFIC REPORTS 2025 DOI: 10.1038/S41598-025-99129-Y
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• Intelligent traffic congestion forecasting using BiLSTM and adaptive secretary bird optimizer for sustainable urban transportation
  SCIENTIFIC REPORTS 2025 DOI: 10.1038/S41598-025-02933-9
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