Hafiz Muhammad Sanaullah Badar
Henan University, Emerson University, Islamia University of Bahawalpur, Government College University, Lahore, Muhammad Nawaz Shareef University of Agriculture, Bahauddin Zakariya University
Research areas: Computer Science · Artificial Intelligence · Privacy-Preserving Technologies in Data · Advanced Authentication Protocols Security · Advanced Neural Network Applications
0000-0003-3173-9783
About
Dr. Hafiz Muhammad Sanaullah Badar is a Postdoctoral Research Fellow at Henan University, China, and former Assistant Professor at Emerson University and MNS University of Agriculture, Pakistan. His research focuses on cybersecurity, privacy-preserving artificial intelligence, trustworthy computing, and secure federated learning for critical infrastructure and smart grids. He has authored numerous papers in high-impact IEEE and Elsevier journals, including IEEE Transactions on Smart Grid and IEEE Internet of Things Journal. Dr. Badar’s work integrates post-quantum and lightweight cryptography with AI-driven analytics to enhance system resilience. He actively follows Open Science and FAIR data principles, supervises graduate researchers, and collaborates internationally on AI-driven security solutions for smart and sustainable digital ecosystems.
Employment
- 2024 - Present
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Emerson University Assistant Professor2024 - 2024
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Muhammad Nawaz Shareef University of Agriculture Assistant Professor2022 - 2024
Education
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Islamia University of Bahawalpur Doctor of Philosophy in Computer Science2018 - 2022
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Government College University, Lahore Master of Computer Science2013 - 2016
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BZU Bachelor of Computer Science2008 - 2013
Projects & Funding
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Secure and Efficient Power Grid Energy Data Analysis Technology Combining Federated Learning and Homomorphic Encryption Henan University2024 - 2025
Publications (16)
- Robust Federated Learning Under Data Heterogeneity and Adversarial Clients Save
- Distance-Gradient-Based Convex Optimization for Efficient Near-Optimal Coverage in WSNs Save
- Edge-Optimized Lightweight and Transformer Backbones for Real-Time Road Damage Detection in IIoT Systems Save
- ATTA-FL-Lite: Lightweight Byzantine-Robust Federated Learning for Resource-Constrained Medical IoT Devices Save
- PoisonShield-FL-NIDS: A Robust Defense Against Poisoning Attacks in Federated Learning Intrusion Detection Save
- Privacy and Security Assessment Rating System of Smart Toys Using Fuzzy Inference System Save
- VIGIL: A Gated Lightweight Object Detection Framework for Compute-Efficient IoT Surveillance at the Edge Save
- Real-Time Road Damage Detection Using an Optimized YOLOv9s-Fusion in IoT Infrastructure Save
- Q-BLAISE: Quantum-Resilient Blockchain and AI-Enhanced Security Protocol for Smart Grid IoT Save
- Deep Learning Approaches for Road Damage Detection Using YOLOv8 and Custom Convolutional Neural Network Save
- A histogram-based approach to calculate graph similarity using graph neural networks Save
- Real-Time Road Damage Detection and Infrastructure Evaluation Leveraging Unmanned Aerial Vehicles and Tiny Machine Learning Save
- Lightweight Authenticated Key Agreement Protocol for Smart Power Grid Systems Using PUF Save
- Secure authentication protocol for home area network in smart grid-based smart cities Save
- An access control protocol for IoT‐based critical infrastructure in smart grid environment Save
- An Identity Based Authentication Protocol for Smart Grid Environment Using Physical Uncloneable Function Save