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
- 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
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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.
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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.
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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
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Hierarchical Scheduling for Real-Time Periodic Tasks in Symmetric Multiprocessing. T. Springer, P. Zhao. Computer Science & Information Technology (CS & IT), Jun 2021
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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.