Dr. Faizan Ullah

Employment

• Forschungszentrum Jülich Researcher
  2025 - Present
• Forschungszentrum Jülich Postdoctoral Researcher
  2025 - Present

Education

• International Islamic University Islamabad PhD in Computer Science
  2016 - 2024

Projects & Funding

Projects & funding information is unavailable.

Publications (45)

• Paired 3 T and 7 T MP2RAGE Brain Volumetry: Preserved Rank Order, Region-Dependent Offsets, and Exploratory Cross-Field Calibration
  Sci 2026 DOI: 10.3390/sci8110317
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• A Novel GPS Location Spoofing Attack Detection Mechanism for Autonomous Vehicles
  WIRELESS PERSONAL COMMUNICATIONS 2026 DOI: 10.1007/S11277-026-12095-0
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• A lightweight 1D convolutional neural network for malicious network traffic detection on heterogeneous benchmark datasets
  ARRAY 2026 DOI: 10.1016/J.ARRAY.2026.100925
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• NeuroFocusNet: An Attention-Enhanced 3-D U-Net for Multimodal MRI Brain Tumor Segmentation
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3728214
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• TAFL-UWSN: A Trust-Aware Federated Learning Framework for Securing Underwater Sensor Networks
  NETWORK 2026 DOI: 10.3390/NETWORK6010018
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• AI-driven intrusion detection and lightweight authentication framework for secure and efficient medical sensor networks
  Scientific Reports 2025 DOI: 10.1038/s41598-025-31981-4
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• AI-driven security framework for medical sensor networks: enhancing privacy and trust in smart healthcare systems
  Cluster Computing 2025 DOI: 10.1007/s10586-024-05049-3
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• Federated learning with LSTM for intrusion detection in IoT-based wireless sensor networks: a multi-dataset analysis
  PeerJ Computer Science 2025 DOI: 10.7717/peerj-cs.2751
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• A flexible and lightweight signcryption scheme for underwater wireless sensor networks
  SCIENTIFIC REPORTS 2025 DOI: 10.1038/S41598-025-95836-8
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• A novel hybrid deep learning approach for super-resolution and objects detection in remote sensing
  SCIENTIFIC REPORTS 2025 DOI: 10.1038/S41598-025-01476-3
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• Advanced intrusion detection in the industrial Internet of Things using federated learning and LSTM models
  AD HOC NETWORKS 2025 DOI: 10.1016/J.ADHOC.2025.103991
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• Channel-Attention DenseNet with Dilated Convolutions for MRI Brain Tumor Classification
  CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES 2025 DOI: 10.32604/CMES.2025.072765
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• EcoTaskSched: a hybrid machine learning approach for energy-efficient task scheduling in IoT-based fog-cloud environments
  SCIENTIFIC REPORTS 2025 DOI: 10.1038/S41598-025-96974-9
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• Enhancing Brain Tumor Segmentation Accuracy through Scalable Federated Learning with Advanced Data Privacy and Security Measures (vol 11, 4189, 2023)
  Faizan Ullah, Muhammad Nadeem, Mohammad Yasir Bin Taleb Abrar +3 more
  MATHEMATICS 2025 DOI: 10.3390/MATH13132212
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• Enhancing brain tumor segmentation using attention based convolutional UNet on MRI images
  SCIENTIFIC REPORTS 2025 DOI: 10.1038/S41598-025-20329-7
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• Intelligent two-phase dual authentication framework for Internet of Medical Things
  SCIENTIFIC REPORTS 2025 DOI: 10.1038/S41598-024-84713-5
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• TEAD: trust-enhanced anomaly detection framework for intrusion detection in IoT-enabled wireless sensor networks (WSNs)
  WIRELESS NETWORKS 2025 DOI: 10.1007/S11276-025-03987-3
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• Transformative Transfer Learning for MRI Brain Tumor Precision: Innovative Insights
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3542451
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• A Dynamic Trust evaluation and update model using advance decision tree for underwater Wireless Sensor Networks
  SCIENTIFIC REPORTS 2024 DOI: 10.1038/S41598-024-72775-4
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• Advanced Zero-Shot Learning (AZSL) Framework for Secure Model Generalization in Federated Learning
  IEEE ACCESS 2024 DOI: 10.1109/ACCESS.2024.3510756
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