معرفی
Dr. Chris Agbonkhese is a Visiting Lecturer in Digital and Computational Studies at Bates College. He holds a BSc in Computer Science, an MSc in Computer Science, and a PhD in Information Systems. His research focuses on the intersection of Health Informatics and Data Analytics, employing machine learning and data mining to address challenges in healthcare. Dr. Agbonkhese’s work includes developing predictive models for drug reactions, clinical decision support systems, and optimization algorithms for variational inequality problems.
Education Background:
- Bachelor of Science (BSc) in Computer Science
- Master of Science (MSc) in Computer Science
- Doctor of Philosophy (PhD) in Information Systems
Research Interests:
- Leveraging machine learning for healthcare applications
- Health informatics and clinical decision support systems
- Optimization algorithms and numerical methods
- Data-driven approaches in medicine and urban planning
Publications Trends: His work spans predictive modeling in healthcare, algorithm development for mathematical optimization, and interdisciplinary studies in law and technology. Recent contributions include a dataset for predicting judicial outcomes and smart city traffic algorithms.
Awards: No scientific awards explicitly mentioned in the text.
Advising & Grants: No specific advisees or grant details provided. Current focus is on teaching and research in digital/computational studies.
Labs/Teams: No dedicated lab or team affiliations listed.
