Dr. Daniel W***

Graph Neural Networks for Relational Reasoning Algorithmic Fairness Bias Detection and Ethics in AI Deep Generative Models for Molecular Drug Design Continual and Lifelong Machine Learning Federated Learning and Differential Privacy Quantum Machine Learning Algorithms Symbolic AI and Neuro-Symbolic Integration Automated Code Generation and Program Synthesis Time-Series Forecasting with Attention Networks Adversarial Robustness and Model Verification High-Performance GPU Distributed Model Training Human-in-the-Loop Machine Learning Systems Creep-Fatigue Interaction in Superalloys Cold Rolling and Annealing Texture Evolution