Muhammad Islam
James Cook University, TMUC, Pir Mehr Ali Shah Arid Agriculture University, Riphah International University
Research areas: Computer Science · Artificial Intelligence · Topic Modeling · Global Maternal and Child Health · Semantic Web and Ontologies
About
I am Muhammad Islam (Satti) have done MS in computer science from Arid University. I have years of experience in teaching and research. I have been currently working as a Program Coordinator and lecturer at TMUC affiliated with the University of Hertfordshire, UK. Previously, I worked as a lecturer at Riphah International University.
My areas of interest are but are not limited to, Data Science, machine learning, Information retrieval, natural language processing, Cyber security, deep learning, federating learning, edge computing, Fog, and cloud computing.
Employment
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James Cook University Peer learning advisor2025 - Present
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TMUC Program Coordinator & Lecturer2023 - Present
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Riphah International University Lecturer2021 - 2023
Education
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Pir Mehr Ali Shah Arid Agriculture University BSCS , MSCS
Projects & Funding
Projects & funding information is unavailable.
Publications (11)
- Multimodal generative AI for human motion understanding and generation: A survey and way forward Save
- Integrating Retrieval-Augmented Generation with Large Language Model for Robust and Explainable AI Text Detection Save
- An Advanced Stacking-based Machine Learning and Deep Learning Framework for Breast Cancer Prediction Save
- Federated Learning for Thoracic Disease Classification Using Convolutional Neural Networks and Differential Privacy Save
- Lightweight Multi‐Stage Holistic Attention‐Based Network for Image Super‐Resolution Save
- Pose and Illumination Invariant Face Recognition in Video via Motion Analysis and Texture Feature Optimization Save
- Underpinning Quality Assurance: Identifying Core Testing Strategies for Multiple Layers of Internet-of-Things-Based Applications Save
- Ontology-Based News Linking for Semantic Temporal Queries Save
- Depression Detection Based on Hybrid Deep Learning SSCL Framework Using Self-Attention Mechanism: An Application to Social Networking Data Save
- Intrusion Detection in Smart IoT Devices for People with Disabilities Save
- Predictive analytics framework for accurate estimation of child mortality rates for Internet of Things enabled smart healthcare systems Save