Dr. Conrad Tucker

Biography

Conrad Tucker is the Arthur Hamerschlag Career Development Professor in Mechanical Engineering and Biomedical Engineering at Carnegie Mellon University, with courtesy faculty appointments in Machine Learning and Robotics. His research primarily focuses on design optimization, systems acquisition, and the integration and mining of large-scale, disparate data. Dr. Tucker has served as the Principal Investigator and Co-Principal Investigator on numerous federally and non-federally funded grants from organizations including the National Science Foundation, the Air Force Office of Scientific Research, and DARPA. He was invited to serve as a member of the Advisory Committee for the National Academy of Engineering's Frontiers of Engineering Education Symposium. His research explores the application of machine learning methods to improve product design outcomes through the acquisition and fusion of large-scale publicly available data. He aims to enhance the efficiency of the design process by creating personalized solutions, with a lifelong commitment to advancing education and research in this area. His work encompasses several key research thrusts including product feature discovery, conceptual design generation, and ensuring data security and veracity in machine learning models.

Research Interests

Awards