Jamison Ebert¶

Overview¶

Jamison Ebert is an Assistant Professor in the Department of Electrical and Computer Engineering at Brigham Young University. He received the B.S. degree in Electrical Engineering from Brigham Young University in 2020 and the Ph.D. degree in Electrical Engineering from Texas A&M University in 2024. From 2024 to 2026, he worked as a Senior Modem Systems Engineer at Qualcomm Technologies, where he developed physical-layer algorithms for 5G modems. His research interests include digital communications, coding theory, and multiple access technologies, with a focus on sparse signal processing and error-control coding for next-generation wireless systems. His work has appeared in several IEEE journals, including the IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing, and IEEE Transactions on Communications.

Contact¶

• Email: jrebert (at) byu (dot) edu
• Phone: (801) 422-5301
• Office: 460D Engineering Building

Education¶

• Ph.D., Electrical Engineering, Texas A&M University, 2024
• B.S., Electrical Engineering, Brigham Young University, magna cum laude, 2020

Research¶

Research Areas¶

• Error Control Coding Design and analysis of advanced coding structures and efficient encoding/decoding algorithms for graphical codes. This work has applications in digital storage, distributed computation, point-to-point communications, massive random access, and fault-tolerant quantum computation.
• Wireless Communications Design, analysis, and testing of advanced algorithms for wireless communications systems, with specific applications in aeronautical mobile telemetry (AMT) and 5G/6G cellular networks.
• Coded Sparse Signal Processing Recovery of high-dimensional sparse signals from limited measurements using concepts from coding theory and statistical physics. This work focuses on the design of low-complexity iterative recovery algorithms for massive heterogeneous wireless networks.

Publications¶

Google Scholar

Selected Articles¶

• "Linked-Loop Codes for the Unsourced A- and B-Channels with Erasures", IEEE Transactions on Communications, 2025.
• "Sparse Regression LDPC Codes", IEEE Transactions on Information Theory, 2025.
• "Coded Demixing for Unsourced Random Access", IEEE Transactions on Signal Processing, 2022.
• "An Enhanced Decoding Algorithm for Coded Compressed Sensing with Applications to Unsourced Random Access", Sensors, 2022.

Teaching¶

Selected Courses¶

• ECEn 380: Signals and Systems
• ECEn 485: Introduction to Digital Communication Theory
• ECEn 776: Advanced Digital and Wireless Communications

Service¶

Selected Service¶

• Co-Organizer, 2026 North American School of Information Theory (NASIT)
• Reviewer
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Vehicular Technology
  • IEEE Communications Letters
  • IEEE International Symposium on Information Theory (ISIT)
  • IEEE International Conference on Communications (ICC) Wireless Communications Symposium
  • IEEE Asilomar Conference on Signals, Systems, and Computers

Honors¶

Selected Honors¶

• Graduate Merit Fellow, Texas A&M University