FU
Farhan Ullah
Prince Mohammad bin Fahd University, Northwestern Polytechnical University, Sichuan University, CECOS University, University of Peshawar
Research areas: Computer Science · Computer Networks and Communications · Network Security and Intrusion Detection · Advanced Malware Detection Techniques · IoT and Edge/Fog Computing
0000-0002-1030-1275
Employment
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Prince Mohammad bin Fahd University Associate Research Professor2024 - Present
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Northwestern Polytechnical University Associate Professor2020 - 2024
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Sichuan University PhD Research Scholar2017 - 2020
- 2015 - 2017
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Barani Institute of Management Sciences (BIMS) Lecturer2014 - 2015
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FATA Secretariat Warsak Road Network Engineer2013 - 2014
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CECOS University Lecturer2011 - 2013
Education
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Sichuan University PhD (Computer Science and Technology)2017 - 2020
- 2009 - 2012
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University of Peshawar BS (CS)2004 - 2008
Projects & Funding
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National Key Research and Development Program Sichuan University
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Small algorithms for UAV Science and Technology Project of Taicang
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Full Time Research Funding for PhD Studies Chinese Government Scholarship
Publications (117)
- A Comparative Study of Groq-Based and Agent-Based Models for Software Challenges Management and Optimization Save
- Federated Malware Classification and Identification with Cross-Modal Compatibility: Specialized Models for Heterogeneous Client Data Save
- Real-Time Helmet Violation Detection in Traffic Surveillance Using Optimized Faster R-CNN with Environmental Robustness Save
- Success Prediction of Kickstarter Projects Using Blending based Ensemble Model Save
- Federated Metalearning-Driven Self-Organizing Maps for Edge-Based Privacy-Preserving Intrusion Detection in Industrial IoT Save
- Explainable AI for malware analysis: a systematic review of benchmark datasets, traffic-oriented detection, and interpretability methods Save
- Edge-QSFL: Quantum-Enhanced Split Federated Learning With Multi-Head Temporal Networks for Edge-Based Intelligent Transportation Security Save
- Advanced Behavioral Analysis for Intrusion Detection Using Deep Learning and Machine Learning Techniques Save
- Analyzing User Behavior in Mobile Game Applications Using Deep Data Analysis Approach Save
- Behavioral Analysis for Customer Loyalty Prediction Using 360° Customer Insights Save
- Hybrid Machine Learning–Based Trust Management Approach to Secure the Mobile Crowdsourcing Save
- HoloTiny-AD: A Trustworthy Anomaly Detection in Resource-Constrained IoT Devices Using Holographic TinyML and Deep Metaheuristics Save
- Cardiovascular Disease Prediction Using Advanced Optimization Methods in Artificial Neural Networks: Implementation, Performance Analysis, Challenges, and Future Opportunities Save
- Federated Learning and 5G/6G‐Based Internet of Medical Things (IoMT): Applications, Key Enabling Technologies, Open Issues and Future Research Directions Save
- Neuromorphic computing for energy-efficient machine intelligence Save
- XAI-EdgeSFL: Explainable Edge Intelligence With Adaptive Intrusion-Resilient Split Federated Learning for Consumer Healthcare Ecosystems Save
- A Hierarchical U-Net with Dual Attention for Early Detection of Diabetic Retinopathy in Retinal Fundus Images Save
- A Revocable Certificateless Signature for Dynamic Security in Named-Based Internet of Vehicles Save
- AI-Driven Energy-Efficient Load Balancing in Hybrid Edge-Cloud Architectures for Renewable Energy Networks Save
- Adaptive Split Federated Learning With Behavioral Digital Twins and Multi-Head Temporal Networks for Internet of Vehicles Security Save