Dr. Erik Y***

Adversarial Robustness and Model Verification Continual and Lifelong Machine Learning Algorithmic Fairness Bias Detection and Ethics in AI Quantum Machine Learning Algorithms Time-Series Forecasting with Attention Networks Visual Question Answering and Multimodal LLMs Neural Architecture Search and Edge Quantization Graph Neural Networks for Relational Reasoning Federated Learning and Differential Privacy Symbolic AI and Neuro-Symbolic Integration Neuromorphic Computing and Event-Based Vision Automated Code Generation and Program Synthesis Self-Supervised Learning from Unlabeled Video Atomic Probe Tomography of Solute Segregation Biochar Utilization in Metallurgical Smelting Creep-Fatigue Interaction in Superalloys