Directory

Conrad Tucker is an Arthur Hamerschlag Career Development Professor of Mechanical Engineering and holds courtesy faculty appointments in machine learning, robotics, and biomedical engineering at Carnegie Mellon University. His research focuses on the design and optimization of systems through the acquisition, integration, and mining of large scale, disparate data.

Tucker has served as PI/Co-PI on federally/non-federally funded grants from the National Science Foundation (NSF), the Air Force Office of Scientific Research (AFOSR), the Defense Advanced Research Projects Agency (DARPA), the Army Research Laboratory (ARL), the Office of Naval Research (ONR) via the NSF Center for eDesign, and the Bill and Melinda Gates Foundation (BMGF). In February 2016, he was invited by National Academy of Engineering (NAE) President Dr. Dan Mote, to serve as a member of the Advisory Committee for the NAE Frontiers of Engineering Education (FOEE) Symposium. He received his Ph.D., M.S. (industrial engineering), and MBA degrees from the University of Illinois at Urbana-Champaign, and his B.S. in mechanical engineering from Rose-Hulman Institute of Technology.

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

The Effect of Deepfake Technology on Education

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


Carnegie Bosch Institute

Engineering faculty receives CBI funding

CEE’s Burcu Akinci and Gerald Wang; CyLab’s Eunsuk Kang; ECE’s Gauri Joshi; EPP’s Alex Davis; and MechE’s Satbir Singh, and Conrad Tucker, and Ding Zhao were awarded funding from the Carnegie Bosch Institute.

CMU Engineering

Inferring what we share by how we share

A new study by CyLab/MechE’s Conrad Tucker shows that patterns in which information is shared online may indicate the information’s authenticity.

CyLab Security and Privacy Institute

CMU-Africa and CyLab aim to improve financial inclusion in emerging economies

Carnegie Mellon University (CMU) CyLab and CMU-Africa have established the CyLab-Africa initiative, which aims to improve the cybersecurity of financial systems in Africa and other emerging economies.

Mechanical Engineering

Tucker and Zhang earn professorships

Carnegie Mellon University's College of Engineering awarded professorships to Conrad Tucker and Jessica Zhang in recognition of their outstanding contributions. 

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.