Dr. Muhammad Asim Saleem
Riphah International University, Government College University, Faisalabad
Research areas: Engineering · Electrical and Electronic Engineering · Artificial Intelligence in Healthcare · Vehicular Ad Hoc Networks (VANETs) · Traffic control and management
0000-0003-2709-5508
About
Dr Muhammad Asim Saleem received his B.Sc. degree in Computer Science from Government College University Faisalabad, Pakistan, his M.Sc. degree in Computer Science from University of Agriculture Faisalabad, Pakistan, and his M.S. degree in Information Technology from Government College University Faisalabad in 2017. He received his Ph.D. degree in Software Engineering from School of Information and Software Engineering, University of Electronic Science and Technology of China in 2021. He is currently an assistant professor at Riphah International University, Pakistan, and a postdoctoral researcher at Chulalongkorn University, Thailand. His research interests include machine learning, deep learning, health informatics, biomedical applications, vehicular networks and smart cities.
Employment
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Riphah International University Assistant Professor2022 - Present
- 2016 - 2017
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (45)
- A comprehensive survey of false data injection attacks modeling and ML/DL-based detection in smart grids Save
- AI‐Enabled 6G Space‐Air‐Ground–Integrated Networks for Ultra‐Reliable Low Latency Internet of Medical Things Healthcare Save
- RSA-SAC: A Reliability- and Sparsity-Aware Scheduler for Real-Time Holographic Counterpart Orchestration in Consumer Fog Networks Save
- Detection of Ransomware Attack in IoT-Based Smart Meter Using Hybrid Deep Learning Model Save
- A Secure Priority‐Adaptive Federated Learning Framework for Multimodal IoT Data Fusion in Real‐Time Edge Environments Save
- Dendrite-Inspired DRL Scheduling With Interpretable Semantic Receptive Fields in Adaptive Fog Computing Save
- Multi-Agent Reinforcement Learning for Real-Time Adaptive Lane Control in Mixed CAV-HDV Freeways Traffic Save
- Deep feature fusion for melanoma detection using ResNet-VGG networks with attention mechanism Save
- Blockchain Enabled Reserved Pricing and Privacy Preserving Model for Peer-to-Peer Energy Trading in Smart Grid Save
- A Hybrid Prediction Model Integrating Artificial Intelligence and Geospatial Analysis for Disaster Management Save
- Deep Learning-Based Approach for Identification of Potato Leaf Diseases Using Wrapper Feature Selection and Feature Concatenation Save
- Deep Learning-Based Approach for Identification of Potato Leaf Diseases Using Wrapper Feature Selection and Feature Concatenation Save
- Delay, Energy, and Outage Considerations in GenAI-Enhanced MEC-NOMA-Enabled Vehicular Networks Save
- FPGA-Driven Secure Energy Routing and Attack Detection in Decentralized Microgrids With SREM-Based Dynamic Path Optimization Save
- Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine Learning Save
- VDO-Fit: Energy-Efficient OFDM Scheduling for Deadline-Constrained Transmission in Vehicular Networks Save
- Unveiling Cancer: A Data‐Driven Approach for Early Identification and Prediction Using F‐RUS‐RF Model Save
- A Deep Learning model for the identification of Potato leaf diseases using Wrapper Feature Selection and Concatenation Save
- Corrections to “Innovations in Stroke Identification: A Machine Learning-Based Diagnostic Model Using Neuroimages” Save
- Innovations in Stroke Identification: A Machine Learning-Based Diagnostic Model Using Neuroimages Save