Umer Saeed
Mr
- Research Institute Member, Institute for Applicable Computing and Engineering (IACE)
- Lecturer in Computer Science (Embedded Systems), 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
- PhDProject: Intelligent Healthcare
- MasterProject: Electrical Engineering
Professional Qualifications
- Member, Institute of Electrical and Electronics Engineers(IEEE)
External Positions
External Positions
- Guest EditorAI-Driven Wireless Sensing and Intelligent Health Monitoring Systems, Springer Nature Collection
- Guest EditorAI-enabled Smart Healthcare Systems, Technologies (MDPI) Journal
Metrics
All time
Scopus
717
PlumX
279
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