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Ashfaq Hussain Farooqi

Air University · US
Area of research
Computer Networks and Communications · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Network Security and Intrusion Detection, Energy Efficient Wireless Sensor Networks, Security in Wireless Sensor Networks, and IoT and Edge/Fog Computing.
h-index
9
citations
393
works
28
NIH funding
primary concept
email

Recent publications

Optimizing Secure and Efficient Data Aggregation in IoMT Using NSGA-II
IEEE Access 2025cited by 11position: lastdoi
A Cyber Resilient Framework for V2X Enabled Roundabouts in Intelligent Transportation Systems
IEEE Access 2025cited by 9position: lastdoi
A CUDA-Accelerated Hybrid CNN-DNN Approach for Multi-Class Malware Detection in IoT Networks
IEEE Access 2025cited by 5position: middledoi
Novel Nyquist-I filter to reduce PAPR for SC-FDMA scheme
Telecommunication Systems 2025cited by 2position: middledoi
Integrating CT image reconstruction, segmentation, and large language models for enhanced diagnostic insight
Medical & Biological Engineering & Computing 2025cited by 0position: lastdoi
Optimizing Spectrum Utilization and Security in SAS-Enabled CBRS Systems for Enhanced 5G Performance
IEEE Access 2024cited by 11position: middledoi
Enhancing HEVC Efficiency: A Novel Approach to Intra-Mode Estimation Through Hadamard Cost Analysis
IEEE Access 2024cited by 3position: middledoi
U-NET Based CT Image Reconstruction and Segmentation Using Deep Learning Layer Structure
2024cited by 2position: lastdoi
Comparitive Analysis of CT Image Reconstruction using Deep Learning Layer Structures
2024cited by 1position: lastdoi
Enhancing Network Intrusion Detection Using an Ensemble Voting Classifier for Internet of Things
Sensors 2023cited by 31position: firstdoi
A Systematic Literature Review of 3D Deep Learning Techniques in Computed Tomography Reconstruction
Tomography 2023cited by 20position: middledoi
Path Tracking and Obstacle Avoidance Control Using Deep Reinforcement Learning for Autonomous Vehicles
2023cited by 7position: lastdoi
A Hybrid Deep Learning Approach for Bottleneck Detection in IoT
IEEE Access 2022cited by 44position: middledoi
A Survey of the Resource Discovery Techniques in the Distributed Computing Systems
2022cited by 1position: lastdoi

Grants

No grants ingested yet.

Frequent collaborators

· 5 papers (2023–2025)Waqas Nawaz · The Ohio State University Wexner Medical Center4 papers (2024–2025)Hameedur Rahman · Air University3 papers (2023–2024)Altamash Ahmad Abbasi · Air University3 papers (2024–2025) · 3 papers (2024–2025) · 3 papers (2023–2024) · 2 papers (2022–2025) · 2 papers (2022–2025)Abdur Rehman Khan · Queensland University of Technology2 papers (2022–2023)Shaharyar Kamal · University of Chile2 papers (2025–2025)Aamir Ijaz · University of Turku1 papers (2024–2024) · 1 papers (2025–2025) · 1 papers (2024–2024)Fahad Shafique · University of Engineering and Technology Lahore1 papers (2023–2023)Awais Ahmad · Imam Mohammad ibn Saud Islamic University1 papers (2025–2025) · 1 papers (2025–2025) · 1 papers (2024–2024) · 1 papers (2025–2025)Shahzaib Akhtar · Air University1 papers (2023–2023) · 1 papers (2024–2024)