Dr. Adam B***

Neuromorphic Computing and Event-Based Vision Human-in-the-Loop Machine Learning Systems High-Performance GPU Distributed Model Training Adversarial Robustness and Model Verification Federated Learning and Differential Privacy Time-Series Forecasting with Attention Networks Quantum Machine Learning Algorithms Self-Supervised Learning from Unlabeled Video Algorithmic Fairness Bias Detection and Ethics in AI Software Architecture Evolution and Metrics Low-Code/No-Code Platform Engineering Energy-Efficient Green Software Engineering Safety-Critical Avionics Software (DO-178C) Observability Frameworks and Distributed Logging