Explores Implementation Research, addressing challenges in implementing health interventions and developing effective strategies for infectious diseases of poverty.
Explores the history, definitions, and challenges of Systems Engineering, emphasizing the importance of requirements in system design and architecture.
Delves into the intersection of physics and data in machine learning models, covering topics like atomic cluster expansion force fields and unsupervised learning.
Explores the formulation and complexity of Support Vector Machines, including primal and dual forms, geometric interpretation, and algorithmic implications.
