Dr. Britta L***

Symbolic AI and Neuro-Symbolic Integration Quantum Machine Learning Algorithms Continual and Lifelong Machine Learning Neural Architecture Search and Edge Quantization Human-in-the-Loop Machine Learning Systems Adversarial Robustness and Model Verification Graph Neural Networks for Relational Reasoning Neuromorphic Computing and Event-Based Vision Time-Series Forecasting with Attention Networks Deep Generative Models for Molecular Drug Design Automated Code Generation and Program Synthesis High-Performance GPU Distributed Model Training Federated Learning and Differential Privacy Self-Supervised Learning from Unlabeled Video Creep-Fatigue Interaction in Superalloys Cold Rolling and Annealing Texture Evolution