Dr. Tom Springer

Dr. Tom Springer

Assistant Professor
Fowler School of Engineering; Electrical Engineering and Computer Science
Office Location: Keck Center for Science and Engineering Swenson Hall N325
Phone: 714-516-6180
Education:
California State University, Fullerton, Bachelor of Science
California State University, Fullerton, Master of Science
University of California, Irvine, Ph.D.

Recent Creative, Scholarly Work and Publications

P, Zhao, Z. Wang, T. Springer, J. Mau, A. Wells,"Low-Power Redundant-Transition-Free TSPC Dual-Edge-Triggering Flip-Flop Using Single-Transistor-Clocked Buffer" in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 31, no. 05, pp. 706-710, 2023.
Z. Wang, T. Springer, P. Zhao, A. Wells, J. Mau and J. McNeely, "Low Power Explicit-Pulsed Single-Phase-Clocking Dual-edge-triggering Pulsed Latch Using Transmission Gate," 2022 7th International Conference on Integrated Circuits and Microsystems (ICICM), Xi'an, China, 2022, pp. 417-421, doi: 10.1109/ICICM56102.2022.10011378.
Springer T, Linstead E, Zhao P, Parlett-Pelleriti C. Towards QoS-Based Embedded Machine Learning. Electronics. 2022; 11(19):3204. https://doi.org/10.3390/electronics11193204
Hierarchical Scheduling for Real-Time Periodic Tasks in Symmetric Multiprocessing. T. Springer, P. Zhao. Computer Science & Information Technology (CS & IT), Jun 2021
On-Device Deep-Learning Inference for System-on-Chip (SoC) Architectures. T. Springer, E. Eiroa-Lledo, E. Linstead, E. Stevens. MDPI Electronics, Special Issue Real-Time Machine Learning. Mar 2021.