Directory

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.

Office
4202 Wean Hall
Email
conradt@andrew.cmu.edu
Google Scholar
Conrad Tucker
Websites
AiPEX: Conrad Tucker’s lab page

Using AI & Machine Learning to Design, Teach, and Diagnose

Using AI to Generate VR Environments

Education

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

Media mentions


Engineering faculty awarded professorships

The College of Engineering recently awarded and virtually celebrated several professorships. MechE’s Conrad Tucker was awarded the Arthur Hamerschlag Career Development Professorship in Mechanical Engineering. MechE’s Jessica Zhang was awarded the George Tallman Ladd and Florence Barrett Ladd Research Professorship in Mechanical Engineering. ECE’s Brandon Lucia was awarded the Sathaye Family Foundation Career Development Professorship. ECE’s Anthony Rowe was awarded the Siewiorek and Walker Family Professorship.

CMU Engineering

Recognizing AI’s misinformation

What does cybersecurity have to do with human recognition of false data? A lot, says MechE’s Conrad Tucker, who teamed up with Challenger Center and RAND to study the link between the two.

CMU Engineering

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.

CMU Engineering

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.

Mechanical Engineering

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.