Daniel J. Pack, Ph.D., P.E., is the Dean of the College of Engineering and Computer Science at the University of Tennessee, Chattanooga (UTC). Prior to joining UTC, he was Professor and Mary Lou Clarke Endowed Department Chair of the Electrical and Computer Engineering Department at the University of Texas, San Antonio (UTSA). Before his service at UTSA, Dr. Pack was Professor (now Professor Emeritus) of Electrical and Computer Engineering at the United States Air Force Academy (USAFA), CO, where he served as founding Director of the Academy Center for Unmanned Aircraft Systems Research. He received a B.S. in Electrical Engineering, an M.S. in Engineering Sciences, and a Ph.D. in Electrical Engineering from Arizona State University, Harvard University, and Purdue University, respectively. He was a visiting scholar at the Massachusetts Institute of Technology-Lincoln Laboratory. Dr. Pack has co-authored seven textbooks on embedded systems (including 68HC12 Microcontroller: Theory and Applications and Embedded Systems: Design and Applications with the 68HC12 and HCS12) and published over 160 book chapters, technical journal/transactions, and conference papers on unmanned systems, cooperative control, robotics, pattern recognition, and engineering education. He is the recipient of a number of teaching and research awards including Carnegie U.S. Professor of the Year Award, Frank J. Seiler Research Excellence Award, Tau Beta Pi Outstanding Professor Award, Academy Educator Award, and Magoon Award. He is a member of Eta Kappa Nu (Electrical Engineering Honorary), Tau Beta Pi (Engineering Honorary), IEEE, and the American Society of Engineering Education. He is a registered Professional Engineer in Colorado, serves as Associate Editor of IEEE Systems Journal, and is a member on a number of executive advisory or editorial boards including the Journal of Intelligent & Robotic Systems, International Journal of Advanced Robotic Systems, and SimCenter Enterprise. His research interests include unmanned aerial vehicles, intelligent control, automatic target recognition, robotics, and engineering education.