Mr Umer Saeed
- Research Institute Member, Institute for Applicable Computing and Engineering (IACE)
- Senior Lecturer in Computer Sciences, School of Computing Engineering and Creative Industries
Dr Umer Saeed is an academic researcher and lecturer specialising in artificial intelligence, machine learning and intelligent healthcare systems. His work focuses on developing data-driven solutions for real-time monitoring, anomaly detection and wireless sensor technologies. He has contributed to multiple interdisciplinary research projects, including sensor fault diagnosis, non-invasive respiratory monitoring and AI-enabled healthcare applications. Dr Saeed is committed to high-quality teaching, student engagement and creating research that delivers genuine societal impact.
Qualifications
Academic Qualifications
- PhD, Coventry UniversityProject: Intelligent Healthcare
- Master, University of UlsanProject: Electrical Engineering
Professional Qualifications
- Member, Institute of Electrical and Electronics Engineers(IEEE)
External Positions
External Positions
- Guest Editor, AI-Driven Wireless Sensing and Intelligent Health Monitoring Systems, Springer Nature Collection
- Guest Editor, AI-enabled Smart Healthcare Systems, Technologies (MDPI) Journal
Research Interests
- Artificial Intelligence in Healthcare
- Machine Learning for Anomaly and Fault Detection
- Sensor Fault Diagnosis in Wireless Networks
- Human Activity Recognition
- Non-invasive Respiratory Monitoring
- Intelligent Wearable and IoT-based Healthcare Systems
- Data-driven Modelling and Predictive Analytics
Collaboration
- University of Glasgow, UK
- Coventry University, UK
- University of Ulsan, South Korea
Teaching Expertise
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Wireless Sensor Networks
- Internet of Things (IoT)
- Big Data & Data Analytics
- Data Science
- Applied Computing for Healthcare
Metrics
All time
Scopus
citations
778
PlumX
citations
776