Baidaa Al-Bander

Baidaa Al-Bander is a Lecturer at Keele University's School of Computing and Mathematics. She holds an MSc in Computer Engineering from the University of Baghdad and a PhD in Electrical Engineering from the University of Liverpool (2018), followed by a Postdoctoral Research position at the University of Dundee. Her research focuses on AI-driven solutions for healthcare and real-world applications, including medical imaging analysis, explainable AI, and deep learning algorithms. She collaborates with experts in medicine, engineering, and computer science to address practical challenges, emphasizing interdisciplinary approaches. Al-Bander's work spans glaucoma diagnosis, melanoma detection, and autonomous medical systems, with publications in top-tier journals like PLoS One and Electronics. She actively reviews for leading conferences and journals, contributing to advancing AI ethics and applications. Her educational background and industry partnerships position her as a key figure in computational healthcare research.

Education:

• MSc Computer Engineering, University of Baghdad (Iraq)
• PhD Electrical Engineering, University of Liverpool (2018)

Research Interests:

• AI in Healthcare
• Computer Vision
• Explainable AI
• Deep Learning for Medical Imaging
• Data Science in Structural Engineering

Key Contributions:

• Developed AI models for automated software testing using large language models.
• Pioneered emotion-aware mental health chatbots integrating BERT and GPT frameworks.
• Advanced glaucoma diagnosis techniques via deep learning-based retinal image analysis.
• Benchmarked deep learning algorithms for skin cancer and melanoma detection.

Collaborations: Works with interdisciplinary teams in medicine, civil engineering, and cybersecurity to apply AI to real-world problems like seismic risk assessment and network intrusion detection.