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.
The Effect of Deepfake Technology on Education
Using AI & Machine Learning to Design, Teach, and Diagnose
Using AI to Generate VR Environments
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
A call to integrate AI and STEM education
Artificial intelligence (AI) has penetrated the job landscape and is of great interest to educators. As we develop methods for integrating AI and STEM education to transform the U.S. workforce, we also need to broaden the public’s awareness of what AI can do now.
MechE professors recognized as Impact Scholars
MechE’s Burak Kara and Conrad Tucker have been recognized as Impact Scholars and awarded $10,000 as part of Google’s AI for Social Good program. Their proposal aims to use machine learning and artificial intelligence to improve screening for oral cancers.
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.
Inferring what we share by how we share
A new study by 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.
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.
Recognizing AI’s misinformation
What does cybersecurity have to do with human recognition of false data? A lot, says Conrad Tucker, who teamed up with Challenger Center and RAND to study the link between the two.
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.