Dr. Alexander H***

Federated Learning and Differential Privacy Quantum Machine Learning Algorithms Neural Architecture Search and Edge Quantization High-Performance GPU Distributed Model Training Algorithmic Fairness Bias Detection and Ethics in AI Symbolic AI and Neuro-Symbolic Integration Deep Generative Models for Molecular Drug Design Neuromorphic Computing and Event-Based Vision Adversarial Robustness and Model Verification Self-Supervised Learning from Unlabeled Video Continual and Lifelong Machine Learning Time-Series Forecasting with Attention Networks Safety-Critical Avionics Software (DO-178C) Low-Code/No-Code Platform Engineering Software Architecture Evolution and Metrics Concurrency Bugs and Race Condition Detection