Dr. Rania Khalsi is an Affiliate Faculty member in the College of Computing at Grand Valley State University. She holds a Ph.D. in Computer Science from the National School of Computer Sciences (ENSI) and completed two years of postdoctoral research in Artificial Intelligence (AI) at the University of Michigan–Flint. Her research focuses on trustworthy and explainable artificial intelligence, with interests spanning deep learning, model robustness, and AI systems for safety-critical and real-world applications, including AI for healthcare and AI applications in software engineering. Alongside teaching, she actively pursues research and collaborates with academic and interdisciplinary partners to develop transparent, reliable, and human-centered AI systems. 

Her work investigates methods for improving the transparency and reliability of deep learning models, particularly in domains were AI decisions impact human well-being. She has conducted research on interpretable computer vision systems and explainable neural networks for medical imaging and decision support.

Dr. Khalsi’s research has been published in leading venues in artificial intelligence and software engineering. In addition to her research, she teaches courses including AI Ethics and Bias (AI 411/511), Generative AI (AI 402/502), Introduction to Cybersecurity (CIS 258), Learn to Code in Python (CIS 160), and Introduction to Software Engineering (CIS 350), and is committed to integrating ethical, societal, and human-centered perspectives into AI education.

Her research aims to advance transparent and socially responsible AI systems that improve trust, safety, and accountability in real-world applications.