Dr. Alexis L***

Symbolic AI and Neuro-Symbolic Integration Neural Architecture Search and Edge Quantization High-Performance GPU Distributed Model Training Visual Question Answering and Multimodal LLMs Continual and Lifelong Machine Learning Time-Series Forecasting with Attention Networks Adversarial Robustness and Model Verification Quantum Machine Learning Algorithms Deep Generative Models for Molecular Drug Design Algorithmic Fairness Bias Detection and Ethics in AI Neuromorphic Computing and Event-Based Vision Human-in-the-Loop Machine Learning Systems Graph Neural Networks for Relational Reasoning Performance Profiling of Microservices Low-Code/No-Code Platform Engineering Observability Frameworks and Distributed Logging Embedded Systems Firmware Reliability Automated Software Testing and Fuzzing Software Architecture Evolution and Metrics