Conrad Tucker focuses on the design and optimization of systems through the acquisition, integration, and mining of large scale, disparate data. Previously, he was a faculty member at The Pennsylvania State University and directed the Design Analysis Technology Advancement (D.A.T.A) Laboratory.
Using AI & Machine Learning to Design, Teach, and Diagnose
2011 Ph.D. in Industrial & Systems Engineering, University of Illinois, Urbana-Champaign
2009 MBA in Business Administration, University of Illinois, Urbana-Champaign
2007 M.S. in Industrial & Systems Engineering, University of Illinois, Urbana-Champaign
2004 B.S. in Mechanical Engineering, Rose-Hulman Institute of Technology
Capturing physiological signals with an app and a tap
For someone suffering from an acute illness or a medical emergency, the nearest healthcare facility can be several hours away in some parts of the world. Researchers are working to bridge this gap in patient care with machine learning.
Society, STEM, and AI
Experts converge at Carnegie Mellon University, the birthplace of artificial intelligence, to discuss how AI can transform STEM education and workforce development today, tomorrow, and beyond.
Bridging the physical and digital worlds with human-machine learning
New MechE faculty member Conrad Tucker sees machines as tools that can help to enhance human capabilities.
Tucker and team receive ASME Best Paper Award
MechE’s Conrad Tucker and his team’s paper, “Reinforcement Learning Content Generation For Virtual Reality Applications,” has been selected for the 2019 Virtual Environments and Systems (VES) Best Paper Award in the ASME CIE conference.