Dr. Adam M***

Federated Learning and Differential Privacy Algorithmic Fairness Bias Detection and Ethics in AI Self-Supervised Learning from Unlabeled Video Neuromorphic Computing and Event-Based Vision Symbolic AI and Neuro-Symbolic Integration Visual Question Answering and Multimodal LLMs Quantum Machine Learning Algorithms Graph Neural Networks for Relational Reasoning Continual and Lifelong Machine Learning Time-Series Forecasting with Attention Networks High-Performance GPU Distributed Model Training Performance Profiling of Microservices Concurrency Bugs and Race Condition Detection Code Review Automation with Machine Learning Observability Frameworks and Distributed Logging