Dr. Adam S***

Continual and Lifelong Machine Learning Neuromorphic Computing and Event-Based Vision Visual Question Answering and Multimodal LLMs Algorithmic Fairness Bias Detection and Ethics in AI Self-Supervised Learning from Unlabeled Video Symbolic AI and Neuro-Symbolic Integration Adversarial Robustness and Model Verification High-Performance GPU Distributed Model Training Automated Code Generation and Program Synthesis Human-in-the-Loop Machine Learning Systems Neural Architecture Search and Edge Quantization Quantum Machine Learning Algorithms Graph Neural Networks for Relational Reasoning Observability Frameworks and Distributed Logging Automated Software Testing and Fuzzing Formal Program Verification and Model Checking