Robert Morelos-Zaragoza
Department of Electrical Engineering

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Robert Morelos-Zaragoza is the author of twenty peer-reviewed journal papers, over ninety international peer-reviewed conference papers and the book The Art of Error Correcting Coding (2nd edition, John Wiley and Sons, 2006). An active consultant in industry, Robert holds eighteen patents in the USA, Japan and Europe.
Professor Morelos-Zaragoza serves as reviewer, editor and technical program committee member in numerous international IEEE conferences and journals in Information Theory and Wireless Communication Systems. Professor Morelos- Zaragoza received BSEE and MSEE degrees from the National Autonomous University of Mexico (UNAM) in 1985 and 1987 respectively, and a PhD in Electrical Engineering from the University of Hawaii at Manoa in 1992. He has held numerous research posts in Mexico and Japan. In 2002, he joined the Department of Electrical Engineering at San José State University, where he is now a Full Professor. His research interests are in error correcting coding and digital signal processing for wireless communication, software-defined radio (SDR) and digital storage systems. Robert is a senior member of IEEE, IEICE (Japan) and Eta Kappa Nu.


He is interested in doing research in the area of wireless body sensor networks. In particular, the design of circuits, architectures and signal processing algorithms allowing either to reduce the power consumption or to implement passive (battery-less usually RFID type) sensors. He has pioneered an RFID System course at San Jose State University that includes system analysis and experimentation of RFID readers and tags. This includes the modulation formats, error detection capability, multiple-reader interference, tag collision resolution (multiple-access), and security aspects of RFID systems. Moreover, some research activities have resulted in implementations using software-defined radios in the communications laboratory. These radios can be used as test beds to explore new physical layer protocols and signal processing techniques for body sensor networks. The biometric data captured by the wireless sensors needs to be relayed to a cloud server. Thus there is also an opportunity to design low-power transceivers that communicate data between the body network and a local area network that connects to the Internet. Another area where he can contribute to big data is error-correcting coding (ECC).
At the physical layer, the introduction of redundancy in the information is known to reduce the required power of a wireless link. In practice, this translates into either less transmitted power (smaller size) or a larger distance between sensors. Moreover, if the biometric or other time-sensitive data is given different priority levels, then redundancy can be added in such a way that even if the link has many errors the high-priority information can still be recovered. Thus data can be captured in real- time and send to a server with different degrees of reliability.ECC techniques for this type of applications are known as multi-level codes. He has designed and analyzed this type of codes over the entire span of my professional carrier as a researcher. Yet another application of ECC is in real- time streaming of data. Redundancy is added in the encoder in such a way that even if pieces of information sent to the serverare missing, the information can be reconstructed using interpolation at the decoder.


1. The Art of Error Correcting Coding, second edition, John Wiley & Sons, 2006.

2. ``On Performance Improvements with Odd-Power (Cross) QAM Mappings in Wireless Networks,'' submitted to IEEE GLOBECOM 2015 conference, April 2015.

3. ``On the Error Performance of Coding and Equalization in Low-Complexity Ultra-Wideband Communication Systems,'' Journal of Communication Software and Systems, vol. 2, no. 3, pp. 245-251, November 2006.

4. ``Method of Non-Data-Aided Carrier Recovery with Modulation Identification,'' (coauthors: K. Umebayashi and R. Kohno), IEICE Transactions on Fundamentals and Electronics, Communications and Computer Science, vol. E87-A, no. 3, pp. 656-665, March 2004.

5. ``A Software Radio Receiver with Direct Downconversion and Its Digital Signal Processing,'' (coauthors: S. Haruyama, M.Abe, N. Sasho, L. Michael and R. Kohno), IEICE Transactions on Communications, Special Issue on Software Defined Radio Technology and Its Applications, vol. E85-B, no. 12, pp. 2741-2749, December 2002.

6. ``A Two-Stage Decoder for Pragmatic Trellis-Coded M-PSK Modulation Using a Symbol Transformation,'' (co-author: A. Mogre), IEEE Transactions on Communications, vol. 49, no. 9, pp. 1501-1505, September 2001.

7. ``Multilevel Coded Modulation for Unequal Error Protection and Multistage Decoding - Part I: Symmetric Constellations,'' (co-authors: M.P.C. Fossorier, S. Lin and H. Imai), IEEE Transactions on Communications, vol. 48, no. 2, pp. 204-213, February 2000.