Rate My Professor Dan Grissom

Dan Grissom, PhD, serves as Professor of Computer Science, Department Chair for Computing, Software, and Data Sciences, and Chief Architect in the Gordon and Jill Bourns College of Engineering at California Baptist University. He earned his PhD in Computer Science from the University of California, Riverside in 2014, an MS in Computer Science from the same university in 2011, and a BS in Computer Engineering from the University of Cincinnati in 2008. Prior to his current roles at CBU, Grissom was an Associate Professor in the Department of Engineering and Computer Science at Azusa Pacific University, where he taught courses including Computer Organization, Mobile App Development, Introduction to Computer Science I and II, Assembly Programming, Computer Architecture and Organization, Artificial Intelligence, Machine Learning, Software Engineering, and Senior Capstone Project. At CBU, he teaches courses such as CSC 322 Mobile App Development, CSC 421 Artificial Intelligence, EGR 302 Engineering Design and Documentation, EGR 329 Computer Architecture, EGR 425 Real Time and Embedded Development, and EGR 427 Software Project Management.

Grissom's academic interests and research specializations encompass digital microfluidics, machine learning, embedded systems, and cloud computing, with a particular focus on digital microfluidic biochips including synthesis, scheduling, fault recovery, and compiler design. His key publications include 'Path scheduling on digital microfluidic biochips' (2012, with P. Brisk), 'An open-source compiler and PCB synthesis tool for digital microfluidic biochips' (2015, with C. Curtis, S. Windh, and others), 'Fast online synthesis of generally programmable digital microfluidic biochips' (2012, with P. Brisk), 'Fast online synthesis of digital microfluidic biochips' (2014, with P. Brisk), 'A digital microfluidic biochip synthesis framework' (2012, with K. O'Neal and others), 'A field-programmable pin-constrained digital microfluidic biochip' (2013, with P. Brisk), and 'Rapid online fault recovery for cyber-physical digital microfluidic biochips' (2015, with C. Jaress and P. Brisk). These works have contributed significantly to advancements in computer-aided design for biochip technologies.