Academic · Researcher · Computer Scientist

Dr. Muhammad
Asim Saleem

Advancing intelligent systems at the intersection of artificial intelligence, connected mobility, health informatics, and data-driven engineering.

Dr. Muhammad Asim Saleem
Based inFaisalabad, Pakistan

● Open to research collaboration

Artificial IntelligenceVehicular NetworksBiomedical AISmart Systems

Research shaped by real-world systems and measurable impact.

I am a computer scientist and academic working across artificial intelligence, machine learning, software engineering, vehicular networks, and biomedical applications. My work connects rigorous computational methods with practical challenges in mobility, healthcare, energy, and geoscience.

I collaborate across disciplines and institutions to develop intelligent models that are efficient, reliable, and suitable for real operational settings. My academic practice combines research, teaching, project leadership, and international collaboration.

Research focus

01

AI & Machine Learning

Deep learning, reinforcement learning, federated learning, and explainable predictive systems.

02

Internet of Vehicles

VANET, V2X, MEC-NOMA, resource scheduling, localization, and intelligent traffic management.

03

Biomedical AI

Computer-aided diagnosis, medical image analysis, stroke prediction, and health informatics.

04

Data-Driven Engineering

AI for seismic interpretation, smart grids, disaster management, and complex engineering systems.

Recent publications

View all 52 records ↗
01
Journal Article

Risk-Aware Adaptive Federated Learning for Cyber-Secure Edge-AI in Smart Edge-IoT Environments

Computer Modeling in Engineering & Sciences (CMES) · 2026

2026
02
Journal Article

Dendrite-Inspired DRL Scheduling With Interpretable Semantic Receptive Fields in Adaptive Fog Computing

IEEE Network · 2026

2026
03
Journal Article

StrokeFuse-AttnNet: A Hybrid Feature Fusion and Self-Attention Model for Stroke Detection Using Neuroimages

Complex & Intelligent Systems · 2026

2026
04
Journal Article

Multi-Agent Reinforcement Learning for Real-Time Adaptive Lane Control in Mixed CAV-HDV Freeways Traffic

IEEE Transactions on Consumer Electronics · 2026

2026
05
Journal Article

RSA-SAC: A Reliability- and Sparsity-Aware Scheduler for Real-Time Holographic Counterpart Orchestration in Consumer Fog Networks

IEEE Transactions on Consumer Electronics · 2026

2026
06
Journal Article

A Hybrid Approach for Accurate Skin Lesion Segmentation Using LEDNet and Swin-UMamba

Scientific Reports · 2026

2026

Academic experience

2026 — Present

Associate Professor

Faculty of Computing, Riphah International University, Faisalabad, Pakistan

2023 — 2025

Researcher

School of Information and Software Engineering, University of Electronic Science and Technology of China, China

2022 — 2026

Assistant Professor

Faculty of Computing, Riphah International University, Faisalabad, Pakistan

2021 — 2022

Visiting Assistant Professor

Department of Computer Science, University of Agriculture Faisalabad, Pakistan

2021 — 2022

Visiting Assistant Professor

Department of Information Technology, Government College University Faisalabad, Pakistan

2015 — 2017

Research Fellow

National Textile University, Faisalabad, Pakistan

2015 — 2017

Assistant

Department of Management Sciences, National Textile University, Faisalabad, Pakistan

Research & development

2024 — Present

Deep Learning for Seismic Horizon Imaging

Developing 2D and 3D seismic interpretation models in collaboration with the Malaysia–Thailand Joint Authority (MTJA).

Co-Principal Investigator
2023 — Present

Vehicular Networks and Data Traffic Management

Supported by the National Natural Science Foundation of China, Grant No. 62272089.

Researcher
2022 — Present

AI for Smart Grid Optimization

Funded by NSRF, Thailand Science Research and Innovation Fund, Ratchadapisek Somphot Fund, and the Second Century Fund (C2F), Chulalongkorn University.

Researcher
2022 — Present

AI, Machine Learning, and Smart Grid Technology

Supported by Thailand Science Research and Innovation Fund, Ratchadapisek Somphot Fund, and C2F, Chulalongkorn University.

Researcher