R. Calix AI Labs

Artificial Intelligence Research and Engineering Consulting

Welcome to R. Calix AI Labs

R. Calix AI Labs conducts research and provides consulting services in artificial intelligence, machine learning, deep learning, industrial AI, computer vision, cybersecurity, scientific computing, and engineering applications of AI.

The laboratory works at the intersection of academic research and real-world engineering, developing practical AI solutions for science, manufacturing, cybersecurity, and industrial systems.

Selected Support and Collaborations: U.S. Department of Energy (DOE), U.S. Department of Defense (DoD), National Institutes of Health (NIH), Northrop Grumman Research Consortium, Center for Innovation through Visualization and Simulation (CIVS) and U.S. Steel, In-Q-Tel, and Simplilearn.


Industrial Artificial Intelligence

Recent work has included collaborations involving CIVS, the U.S. Department of Energy (DOE) and U.S. Steel, where advanced machine learning methods have been developed for industrial process optimization and engineering decision support.

This work includes the development of Neural Input Optimization (NIO), a machine learning methodology for identifying operating conditions that satisfy engineering objectives while respecting process constraints. These technologies are currently being implemented within an operating manufacturing environment.

Areas of interest include:


Books and Educational Resources

Over the past decade I have taught and conducted research in artificial intelligence, machine learning, deep learning, and cybersecurity. These efforts have resulted in books, open educational resources, software, and numerous peer-reviewed publications.

Current research interests include:


Consulting & Collaboration

R. Calix AI Labs welcomes opportunities involving:

Whether your organization is interested in applying artificial intelligence, developing industrial AI solutions, conducting collaborative research, or exploring new engineering applications, we would be pleased to discuss potential opportunities.


Email: rcalix@rcalix.com      Phone: 219-315-9612


R. Calix AI Labs
rcalix@rcalix.com
https://www.rcalix.com