Paulo Isagani M. Urriza
Summary
- 5+ years systems and algorithm design experience for Analog/DSP-based SerDes IP (from 12G-112G)
- Key designer on several generations of multi-rate, multi-standard SerDes IP utilized in most of the Marvell
SoC portfolio (Storage, PHY, and Switch SOCs: PCIe3-5, SAS, IEEE and OIF standards for chip-to-chip, VSR,
backplane, copper)
- Strong background on wired/wireless communication theory and DSP algorithm design
Technical Skills
- Programming: MATLAB/Simulink, C/C++ (general purpose/FW development), Python, Unix shell scripting,
Xilinx SysGen, HDL basics (Verilog, VHDL, SystemC), Version Control (Git/SVN)
- Hardware Platforms: Marvell Raptor/CAP2 (Automation Platform), Universal Software Radio Platform
(USRP), Berkeley Emulation Engine (BEE2-Virtex4)
Work Experience
Marvell Semiconductor
- Senior Manager, DSP 05/19–12/19
- Technical lead of a small team (6 DSP engineers) in addition to individual contributor role
- Developed a Python-based scripting framework for prototyping SerDes training/adaptation algorithms
that can be tested directly on silicon (used as reference by FW designers, verification, and for lab
testing/validation)
- Primary system architect / algorithm designer for Marvell’s analog-based PAM4 SerDes solutions (56G
and 112G)
- Senior System Engineer, Staff System Engineer 07/14–05/19
- Key system architect/designer of Marvell’s multi-standard (SAS, PCIE3-5, IEEE, OIF) SerDes from 28G
(NRZ), 56G (PAM4), up to 112G (both analog and ADC-based solutions)
- Lead designer/developer of training algorithm used in Marvell’s Analog-based 56G-112G SerDes
- Developed a MATLAB-based SerDes performance evaluation tool (both statistical and time-domain)
- Developed C++ Simulator/Model used for performance evaluation, architecture exploration, and digital
verification (bit-match) for several SerDes generations
- Contributed in various capacities to SerDes IP development including
- Digital verification (C++ models, debugging, scripting for regression tests)
- CDR analysis (modeling, evaluation)
- Tx-Train and Rx-Train algorithm development
- Delivered specifications for equalization and adaptation of analog SerDes IP
- Leading multi-team collaboration (DSP, Digital, Analog, Applications Engineering)
- Chip bring-up, lab validation, and test plan delivery/execution
UCLA, Department of Electrical Engineering
- Graduate Student Researcher, Teaching Assistant 09/09–06/14
- Taught undergraduate discussion classes in Digital Logic Design
- Research focusing on techniques for detecting, localizing and identifying transmitters for Cognitive
Radio applications
University of the Philippines, Electrical and Electronics Engineering Institute (EEEI)
- Teaching Associate 06/07–05/09
- Taught undergraduate discussion/lab classes in Signals and Systems, Digital Logic Design,
Electromagnetics, Probability Theory
Education
Ph.D. Electrical Engineering (Signals and Systems Track) 09/09–06/14
M.S. Electrical Engineering 06/07–08/09
- University of the Philippines Diliman
- Adviser: Prof. Joel Joseph S. Marciano, Jr. Ph.D.
- Affiliation: University of the Philippines Digital Signal Processing Lab
- Thesis: “Parallel Sequence Spread Spectrum - OFDM (PSSS-OFDM) Scheme - A Novel Physical Layer Scheme
for Robust Wireless Communication Systems”
B.S. Computer Engineering 06/02–04/07
- University of the Philippines Diliman
- Magna Cum Laude, Rank 1 out of 55 in Computer Engineering, 4 out of 820 in Engineering
- Ranked within top 50 out of ~70,000 in nationwide college entrance exam (UPCAT), UP Oblation Scholar
Research Experience
DARPA-CLASIC – Analog-FFT based Cognitive Radio Sensor IC
- Developed several signal processing algorithms for blind modulation classification.
- Developed a full real-time modulation classification system.
- Experimental verification using Universal Software Radio Platform (USRP) and FPGA platforms.
- Development using the Xilinx System Generator with the Berkeley Emulation Engine (BEE2)
COgnitive and Reconfigurable Embedded Systems (CORES) Lab
- MAC Scheme Classification – Classification of upper layer schemes employed by unknown transmitters
- Multiple Antenna Cyclostationary Spectrum Sensing – algorithm development and mathematical analysis of
a multiple-sensor feature-based spectrum sensing system.
- Localization Techniques for Cognitive Radios – Mathematical analysis of range-free localization techniques
for CR applications. Developed and simulated a distributed algorithm for range-free localization.
Wireless Communications Engineering Laboratory (WCEL)
- Algorithm development for PHY layer techniques based on spread spectrum and OFDM and subsequent
implementation on a FPGA-based rapid-prototyping platform.
Digital Signal Processing Laboratory (DSP Lab)
- Senior project focusing on hardware implementation of space-time coding and other MIMO techniques on
an FPGA platform using VHDL.
Publications
Journals, Letters and Magazines
- P. Urriza, E. Rebeiz, and D. Čabrić, “Optimal Discriminant Functions Based on Sampled Distribution Distance for
Modulation Classification”, IEEE Communications Letters, vol.17, no.10, pp.1885-1888, August 2013.
- P. Urriza, E. Rebeiz, and D. Čabrić, “Multiple Antenna Cyclostationary Spectrum Sensing Based on the Cylic
Correlation Significance Test”, IEEE Journal on Selected Areas in Communications, vol.31, no.11, pp.2185-2195,
October 2013.
- P. Urriza, E. Rebeiz, P. Pawełczak, and D. Čabrić, “Computationally Efficient Modulation Level Classification Based
on Probability Distribution Distance Functions”, IEEE Communications Letters, vol.15, no.5, pp.476-478, May
2011.
- M. Laghate, P. Urriza, and D. Čabrić, “Channel Access Method Classification for Cognitive Radio Applications”,
IEEE Wireless Communications Letters, vol.7, no.1, pp.70-73, February 2018.
- E. Rebeiz, F-L. Yuan, P. Urriza, D. Marcović, and D. Čabrić, “Energy-Efficient Processor for Blind Signal
Classification in Cognitive Radio Networks”, IEEE Transactions on Circuits and Systems I: Regular Papers, vol.61,
no.2, pp.587-599, February 2014.
- E. Rebeiz, P. Urriza, and D. Čabrić, “Optimizing Wideband Cyclostationary Spectrum Sensing under Receiver
Impairments”, IEEE Transactions on Signal Processing, vol.61, no.15, pp.3931-3943, August 2013.
- J. Wang, P. Urriza, Y. Han, and D. Čabrić, “Weighted Centroid Algorithm for Estimating Primary User Location:
Theoretical Analysis and Distributed Implementation”, IEEE Transaction on Wireless Communications, vol.10,
no.10, pp.3403-3413, October 2011.
Conferences
- P. Urriza, E. Rebeiz, and D. Čabrić, “Eigenvalue-based Cyclostationary Spectrum Sensing Using Multiple
Antennas”, in Proc. IEEE GLOBECOM. Anaheim, CA, USA, 3-7 Dec. 2012.
- P. Urriza, E. Rebeiz, and D. Čabrić, “Hardware Implementation of Kuiper-based Modulation Level Classification”,
in Proc. Asilomar Conference on Signals, Systems, and Computers. Pacific Grove, CA, USA, 6-9 Nov. 2011.
- P. Urriza, and J. Marciano, “Combining Parallel Sequence Spread Spectrum (PSSS) with OFDM - Concept and
Simulation Results”, in Proc. IEEE WCNC. Sydney, Australia, 18-21 Apr. 2010.
- E. Rebeiz, P. Urriza, and D. Čabrić, “Experimental Analysis of Cyclostationary Detectors Under Cyclic Frequency
Offsets”, in Proc. Asilomar Conference on Signals, Systems, and Computers. Pacific Grove, CA, USA, 4-7 Nov.
2012.
- J. Wang, P. Urriza, Y. Han, and D. Čabrić, “Performance Analysis of Weighted Centroid Algorithm for Primary User
Localization in Cognitive Radio Networks”, in Proc. Asilomar Conference on Signals, Systems, and Computers.
Pacific Grove, CA, USA, 7-10 Nov. 2010.
- G. Fadera, L. Ignacio, M. Nastor, P. Urriza, and J. Marciano, “FPGA implementation of space-time encoders”, in
Proc. Intelligent and Advanced Systems. Kuala Lumpur, Malaysia, 25-28 Nov. 2007.
Grants and Awards
- Qualcomm Cognitive Radio Competition - Member, UCLA CORES team ranked within the Top 3 Finalists
- Dept. of Science and Technology (DOST)
Accelerated Human Resource Development Program Scholar (MS EE), 2007-2009 - Merit-based scholarship for
a Masters in the field of science or engineering
- UP Oblation Scholarship Award - Top 50 out of ~70,000 in the University of the Philippines College Entrance
Test - Nationwide aptitude test