Dr. Anne L***

Neuromorphic Computing and Event-Based Vision High-Performance GPU Distributed Model Training Symbolic AI and Neuro-Symbolic Integration Visual Question Answering and Multimodal LLMs Time-Series Forecasting with Attention Networks Continual and Lifelong Machine Learning Federated Learning and Differential Privacy Neural Architecture Search and Edge Quantization Quantum Machine Learning Algorithms Graph Neural Networks for Relational Reasoning Deep Generative Models for Molecular Drug Design Automated Code Generation and Program Synthesis Self-Supervised Learning from Unlabeled Video Performance Profiling of Microservices Observability Frameworks and Distributed Logging Code Review Automation with Machine Learning Software Architecture Evolution and Metrics Concurrency Bugs and Race Condition Detection