Conrad Tucker

Professor at Carnegie Mellon University

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.

Talk title: "In Search of Ground Truth: From Social Media Networks to Deep Neural Networks"

Thursday, September 22, 2022 3:30pm - 5pm Virtual

Ariel M. Greenberg

Project manager JHU/APL

Ariel M. Greenberg is a senior staff scientist and project manager at JHU/APL with research interests in psychophysiology, behavioral modeling and simulation, and machine ethics. His work addresses topics in computational social and cognitive-affective science, toward applications in defense, intelligence, and public health. Alongside his research, Ariel develops and instructs courses, serves as assistant editor-in-chief of the Johns Hopkins APL Technical Digest, and steers the annual international SBP-BRiMS conference.

Talk title: "Foundational Concepts in Person-Machine Teaming"

Keynote Speaker(s)

Wednesday, September 21, 2022 3:30pm - 5pm In-Person