Ioannis A. Kakadiaris has a long and distinguished track record in biometrics, data/video analytics, and artificial intelligence. His team has made contributions in the areas of face and ear recognition and profile-based face recognition. CBLs 3D–3D face recognition software ranked first in the 3-D-shape section of the 2007 Face Recognition Vendor Test organized by NIST. He proposed 3-D aided 2-D Face Recognition, which created a new research field later called heterogeneous or asymmetric face recognition that, for the first time, enabled matching 3-D data with legacy 2-D data. CBL’s research has been supported by federal (NIH, NSF, Army Research Labs, DHS, and National Institute of Justice), state (Texas Higher Education Coordinating Board), industry (SGI, American Honda, Microsoft Research, Unisys, Siemens Medical Solutions, and BP America), foundations (Juvenile Diabetes Research Foundation and Schlumberger Technical Foundation), and international funding organizations (French Partner University Fund). Ioannis’ research has been featured on Discovery Channel, National Public Radio, KPRC NBC News, KTRH ABC News, and KHOU CBS News. He was a recipient of the UH Computer Science Research Excellence Award two times. He has been recognized for his research with several distinguished honors, including the NSF Early Career Development Award, the Schlumberger Technical Foundation Award, the UH Teaching Excellence Award, and the James Muller Vulnerable Plaque Young Investigator Prize. He has served as the VP of Technical Activities at the IEEE Biometrics Council, Program Co-Chair for BTAS 2019, General Co-Chair for IJCB 2020, and he is a graduate of the NSF iCORPs program.