معرفی
Amira Soliman is a Senior Lecturer at Halmstad University's School of Information Technology, specializing in artificial intelligence and machine learning with applications in healthcare. Her work bridges the gap between advanced computational techniques and practical healthcare solutions, focusing on improving patient outcomes through data-driven approaches.
Dr. Soliman's research interests span a wide range of areas in AI and data science:
- Artificial Intelligence and Machine Learning for healthcare applications
- Graph analytics and network analysis in healthcare systems
- Federated learning for privacy-preserving healthcare analytics
- Healthcare informatics and clinical decision support systems
- Social network analysis for public health applications
- Distributed systems for large-scale healthcare data processing
Her recent publications demonstrate a strong focus on applying advanced machine learning techniques to healthcare challenges, particularly in the areas of heart failure prediction, dementia diagnosis, and synthetic health data generation. Her work often combines clinical expertise with cutting-edge AI methodologies, resulting in practical tools that can be implemented in real-world healthcare settings. A notable trend in her research is the emphasis on explainability and interpretability of AI models in medical contexts, ensuring that clinicians can understand and trust the recommendations made by these systems.
As an educator, Dr. Soliman teaches courses including Artificial Intelligence for healthcare, Smart Healthcare with applications, Big-data Parallel Programming, and Applied Data Mining. She also provides thesis supervision for both MSc and PhD students. Her teaching approach emphasizes the practical application of theoretical concepts, preparing students to tackle real-world challenges in healthcare AI.
Dr. Soliman has served as a peer reviewer for prestigious journals and conferences including IEEE Internet Computing, Data Mining and Knowledge Discovery, Journal of Social Network Analysis and Mining, Journal of Future Generation Computer Systems, IEEE/WIC/ACM International Conference on Web Intelligence, and European Conference on Parallel and Distributed Computing. Her research has been supported through projects such as HaRP (Heart failure Readmission Prediction) and PadAI (AI for better mental health in young people).
