Dr. Eva J***

Quantum Machine Learning Algorithms Self-Supervised Learning from Unlabeled Video Federated Learning and Differential Privacy Human-in-the-Loop Machine Learning Systems High-Performance GPU Distributed Model Training Adversarial Robustness and Model Verification Continual and Lifelong Machine Learning Time-Series Forecasting with Attention Networks Safety-Critical Avionics Software (DO-178C) Code Review Automation with Machine Learning Open-Source Ecosystem Dependency Analysis Observability Frameworks and Distributed Logging Formal Program Verification and Model Checking Software Architecture Evolution and Metrics