Research Group

Our research group at Augusta University studies the mathematical foundations of machine learning and optimization, with an emphasis on reliable learning and decision-making under uncertainty.

Research Areas

• Machine learning and artificial intelligence: Foundations of learning, generalization, adaptation, and generative modeling.
• Optimization and game theory: Algorithms and theory for continuous, discrete, and adversarial optimization.
• Reinforcement learning and decision-making: Learning to act and adapt through interaction with uncertain environments.
• Statistical inference and information theory: Estimation, testing, sequential inference, and the limits of learning from data.
• Distributed and federated learning: Learning and coordination across multiple agents, devices, and data sources.
• Robust and trustworthy learning: Reliability under uncertainty, distribution changes, and adversarial conditions.

For examples of our work, see the publications page and Google Scholar.

Contact

For research inquiries or questions about PhD supervision, contact Arman Adibi. Prospective students should include their CV, transcript, and research interests.