Biography

Dr. Nguyen Viet Tu obtained his MSc and PhD degrees in Electrical Engineering at the University of California, San Diego in 2009 and 2013, respectively. He has been a Sr. R&D IC Design Researcher for Broadband Carrier Access (BCA) group at Broadcom Limited since May 2013. The work includes designing and developing the current and next generations of Wireless LAN networks: from algorithm designs to design vectors (DV) matching, chipset bring up, firmware development, and performance evaluations prior to mass productions.

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ORCID: click here

Research interests

• Wireless communications theory and system design
• Algorithms and signal processing for wireless systems
• Multimedia transmissions over wireless networks
• Embedded systems
• AI and machine learning

Selected publications

1. Tu Nguyen, P.C. Cosman, L.B. Milstein, “Double-Layer Video Transmission Over Decode-and-Forward Wireless Relay Networks Using Hierarchical Modulation,” IEEE Transactions on Image Processing, Pages 1791-1804, Apr. 2014
2. F. Jiang, R. Porat, Tu Nguyen, “On the impact of residual CFO in UL MU-MIMO,” The 41st IEEE International Conference on Acoustics, Speed and Signal Processing, Mar. 2016
3. Tu Nguyen, L.B. Milstein, “Optimal linear-combining receiver for decode-and-forward relays using superposition coding,” Asilomar Conference on Signals, Systems and Computers, Nov. 6, 2013
4. Tu Nguyen, P.C Cosman, L.B. Milstein, “Optimized receiver design for decode-andforward relays using hierarchical modulation,” Asilomar Conference on Signals, Systems and Computers, Nov. 6, 2013
5. Tu Nguyen, Elias Masry, L.B. Milstein, “Channel Model and Performance Analysis of
   QAM Multiple Antenna Systems at 60-GHz in the Presence of Human Activity,” IEEE Global Telecommunications Conference (GlobeCom), Dec. 2011
6. Tu Nguyen, “Layered Transmissions over Decode-and-Forward Wireless Relay Networks,” Ph.D. Dissertation, University of California, San Diego, Apr. 2013
7. S Tejman-Yarden, O Levi, Tu Nguyen, et al, “Heart Rate Analysis by Sparse Representation for Acute Pain Detection,” Medical & Biological Engineering & Computing Journal, Volume 54, Issue 4, pp 595-606, Springer Berlin Heidelberg, Apr. 2016
8. S Tejman-Yarden, O Levi, Tu Nguyen, et al, Use of Sparse Representation of ECG Signals for Pain Detection in an Experimental Deep Pain Model, American Academy of Pain Medicine Annual Meeting, Glenview, IL, United States, 2011
9. S Tejman-Yarden, O Levi, Tu Nguyen, et al, Use of Sparse Representation of ECG Signals for Pain Detection in the Cold Pressor Test, American Academy of Pain Medicine Annual Meeting, Glenview, IL, United States, 2011