Scientific computing increasingly requires both accurate simulations of physical systems as well as optimizing them over many parameters for tasks such as inverse ...

This research communication aims to present a curricular proposal to relate the importance of the application of optimal control theory for dynamic supply chains for industrial engineering students ...

The accelerating development and deployment of artificial intelligence (AI) systems necessitate a critical examination of the boundaries between computation, cognition, and consciousness. This essay ...

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When I first decided to break into AI and machine learning, it felt like stepping into a maze without a map. Everywhere I looked, there were endless tutorials, blog posts, and bootcamps promising ...

I am an associate professor in the School of Computer Science at Carnegie Mellon University. My current interests are in software engineering for software systems with ML components (or teaching ...

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Physics-Informed Neural Networks (PINN) are neural networks encoding the problem governing equations, such as Partial Differential Equations (PDE), as a part of the neural network. PINNs have emerged ...