Education History

  • BEE Electrical Engineering, University of Delaware
  • MS Electrical and Computer Engineering, Johns Hopkins University
  • DEng Electrical and Computer Engineering, Johns Hopkins University

Work Experience

DSP FPGA Engineer, Rampart Communications


D. Chew and R. Mennecke, “Partial Evaluation of PM-PHY using TG7r1 Channels”, IEEE 802.15 TG13, 2018

Daniel Chew, The Wireless Internet of Things: A Guide to the Lower Layers, Wiley-IEEE, 2018

D. Chew and A. B. Cooper, “Spectrum Sensing in Interference and Noise Using Deep Learning,” 2020 54th Annual Conference on Information Sciences and Systems (CISS), 2020, pp. 1-6

Daniel Chew, Andrew L. Adams, and Jason Uher, Wireless Coexistence: Standards, Challenges, and Intelligent Solutions, Wiley-IEEE, 2021

D. Chew, D. Barcklow, C. Baumgart and A. Brinton Cooper, “Adversarial Attacks on Deep-Learning RF Classification in Spectrum Monitoring with Imperfect Bandwidth Estimation,” 2022 IEEE Wireless Communications and Networking Conference (WCNC), 2022, pp. 1152-1157

D. Chew, C. Nguyen, S. Berhanu, C. Baumgart, and A. B. Cooper. 2022, “Covert Communications through Imperfect Cancellation”, 2022 ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec ’22), 2022, pp. 63–68.

Honors and Awards

  • Outstanding EP Instructor (2022)

Professional Organizations