Saied Hemati,
Ph.D., SMIEEE
Email: saied.hemati (at) gmail.com
Research Interests
· Channel
coding applications and iterative decoding algorithms
· Low-power/high-speed
analog/digital integrated circuits for communication systems
· Applications
of information theory in nanoelectronics
· Low-power/reliable
system design using leaky/non-deterministic components
· Ultra
low-power weakly inverted (subthreshold) MOSFET
circuit design for health monitoring devices and sensor networks
Awards & Honors
· ReSMiQ (Le Regroupement Stratégique
en Microsystèmes du Québec) Postdoctoral Fellowship,
September 2009 ($20,000).
· Promoted
to IEEE Senior Member, March 2008.
·
Canadian Space Agency NSERC Postdoctoral
Fellowship Supplement Award, April 2006 ($26,666).
·
Senate Medal for Outstanding Academic
Achievements, November 2005.
·
NSERC Postdoctoral Fellowship (NSERC PDF),
March 2005 ($80,000).
·
Ontario Graduate Scholarship (OGS), April
2004 ($15,000).
·
Ontario Graduate Scholarship in Science
and Technology (OGSST), September 2003 ($10,000).
·
CITO Research Excellence Scholarship, May 2003
($5,000).
·
Best Paper Award, 2002 CITO Knowledge
Network Conference, Ottawa, Canada, Oct. 2002 ($500).
·
CITO Graduate Scholarship, 2002 ($2,000).
·
Carleton University Graduate Scholarship, 2001-2005.
·
Integrated Electronics Industry Golden Medal Paper
Award, 1998.
Books

·
S. Hemati, Iterative Decoding in Analog
VLSI, Dynamics and Circuits, VDM, ISBN: 978-3-639-17539-4, 2009.
Issued Patents
·
S. Hemati and A. H. Banihashemi, “Full CMOS Min-Sum Analog Iterative Decoders”
US Patent No: 7,769,798; issued on August 3, 2010.
Publications
Refereed
Journal Papers:
11- K. Cushon, C. Leroux,
S. Hemati, S. Mannor, and W.
Gross, “A Min-Sum Iterative Decoder with Pulse Width Message Encoding,” IEEE
Trans. Circuits and Systems-II, vol. 58, no. 11, pp. 893-897, November
2010.
10- C. Leroux, S. Hemati, S. Mannor, and W. Gross,
“Stochastic Chase Decoding of Reed-Solomon Codes,” IEEE Communications Letters,
vol. 14, no. 9, pp. 863-865, September 2010.
9- S. Sharifi Tehrani,
A. Naderi, G.-A. Kamendje, S. Hemati,
S. Mannor, and W. J. Gross “Majority-Based Tracking
Forecast Memories for Stochastic LDPC Decoding,” IEEE Transactions on Signal Processing, vol. 58, no. 9, pp. 4883-4896, September
2010.
8- S. Hemati and A. Yongacoglu,
“On the Dynamics of Analog Min-Sum Iterative Decoders, an Analytical Approach,”
IEEE Transactions on Communications, vol. 58, no. 8,
August 2010.
7- S. Hemati and A. Yongacoglu,
“Dynamics of Analog Decoders for Different Message Representation Domains,” IEEE
Transactions on Communications, vol. 58, no. 3,
pp. 721-723, March 2010.
6- N. Mobini, A. H. Banihashemi,
and S. Hemati, “A Differential Binary Message-Passing
LDPC Decoder,” IEEE Transactions
on Communications, vol. 57,
no. 9, pp. 2518-2523, September 2009.
5- S. Hemati and A. H. Banihashemi,
“Convergence Speed and Throughput of Analog Decoders,” IEEE Transactions on Communications, vol. 55, no.5, pp. 833-836, May 2007.
4- S. Hemati, A. H. Banihashemi,
and C. Plett, “A 0.18mm Analog Min-Sum Iterative Decoder for a (32,8) Low-Density
Parity-Check (LDPC) Code,” IEEE Journal
of Solid-State Circuits, vol. 41,
no. 11, pp. 2531-2540, Nov. 2006.
3- S. Hemati and A. H. Banihashemi,
“Dynamics and Performance Analysis of Analog Iterative Decoding for Low-Density
Parity-Check (LDPC) Codes,” IEEE
Transactions on Communications, vol. 54, no.1, pp. 61-70, Jan. 2006.
2- M. R. Yazdani, S. Hemati, and A. H. Banihashemi,
“Improving Belief Propagation on Graphs with Cycles,” IEEE Communications Letters,
vol. 8, no. 1, pp.57-59, Jan. 2004.
1- S. Feiz and
S. Hemati, “Dispersion Evaluation in Optical
Waveguides,” ESTEGHLAL, J. of Engineering, vol. 18, no.1, pp. 23-31, 1999.
Refereed
Conference Papers:
42- F. Leduc-Primeau, S. Hemati,
W. Gross, and S. Mannor, “Lowering Error Floors Using
Dithered Belief Propagation,” to appear in Proceedings of the IEEE Globecom
2010 Communication Theory Symposium, Miami, FL, USA.
41- G. Sarkis, S. Hemati,
W. Gross, and S. Mannor, “Relaxed Half-Stochastic
Decoding of LDPC Codes over GF(q),” in Proceedings of Annual Allerton Conference
on Communication, Control and Computing , University of Illinois, 2010.
40- F. Leduc-Primeau, S. Hemati,
W. Gross, and S. Mannor, “A Relaxed Half-Stochastic
Iterative Decoder for LDPC Codes,” in Proceedings of IEEE Globecom 2009 Communication Theory Symposium, pp. 1-6,
Nov. 2009, Honolulu, Hawaii, USA.
39- S. Hemati
and A. Yongacoglu, “On the Dynamics of Analog Min-Sum
Iterative Decoders, an Analytical Approach,” in Proceedings of CWIT 2009,
Ottawa, Canada, pp. 29-31, May 13-15,
2009.
38- S. Hemati and A. Yongacoglu,
“Effects of Message Representation Domain on the Dynamics of Analog Decoders,”
in Proceedings of the 2008 Analog Decoding Workshop, Utah, US, July
2008.
37- N. Mobini, A. H. Banihashemi,
and S. Hemati, “A Differential Binary Message-Passing
LDPC Decoder,” in Proceedings of the IEEE Globecom
2007 Communication Theory Symposium, Washington, DC, US, pp. 1561-1565,
Nov. 2007.
36- S. Hemati and A. Yongacoglu,
“On the Dynamics of Analog Min-Sum Iterative Decoders, an Analytical Approach,”
in Proceedings of the 2007 IEEE International Symposium on Information
Theory, ISIT2007, Nice, France, June, 2007.
35- S. Hemati and A. Yongacoglu,
“Stability and Singularity in Analog Min-Sum Decoders,” in Proceedings of the 6th Analog Decoding
Workshop, Montreal, Canada, May 2007.
34- N. Mobini, A. H. Banihashemi,
and S. Hemati, “Differential Decoding of LDPC Codes with
Binary Message-Passing,” in Proceedings of the 6th Analog Decoding Workshop, Montreal,
Canada, May 2007.
33- S. Hemati and A. Yongacoglu,
“On the Solvability of the Dynamic Equations for Analog Min-Sum Decoders,” in Proceedings
of the 5th Analog
Decoding Workshop, Turin, Italy, pp.47-50, June 2006.
32- S. Hemati and A. H. Banihashemi,
“Convergence Speed and Throughput of Analog Iterative Decoders for Low-Density
Parity-Check (LDPC) Codes,” in Proceedings of the 4th
International Symposium on Turbo Codes, Munich, Germany, April 3 -
7, 2006.
31- S. Hemati and A. H. Banihashemi,
“A Low-Voltage 4-Input CMOS Analog Maximum Winner-Take-All Chip for Min-Sum
Analog Iterative Decoders,” The CMC Microsystems 2006 Annual Symposium, Ottawa,
October 2006.
30- S. Hemati and A. H. Banihashemi,
“Convergence Speed and Throughput of Analog Decoders,” in Proceedings of
CWIT 2005, Montreal, Quebec, Canada, pp. 235-238, June 5 - 8, 2005.
29- S. Hemati, A. H. Banihashemi, and C. Plett, “An
80-Mb/s 0.18-mm CMOS Analog Min-Sum Iterative Decoder for a
(32,8,10) LDPC Code,” in Proceedings of
the IEEE Custom Integrated Circuits Conference, CICC 2005, San Jose, California,
pp. 240-243, Sept. 18 -21, 2005.
28- S. Hemati, A. H. Banihashemi, and C. Plett, “A
High-Speed Analog Min-Sum Iterative Decoder,” in Proceedings of the IEEE International Symposium on Information Theory,
ISIT 2005, Adelaide, Australia, pp. 1768-1772, Sept. 4 - 9, 2005.
27- S. Hemati,
A. H. Banihashemi, and C. Plett,
and N. Ogbebor “An Analog Min-Sum Decoder for a (32,8)
LDPC Code,” in Proceedings of CWIT 2005, Montreal, Quebec, Canada, pp. 203-206, June 5 - 8, 2005.
26- S. Hemati and A. H. Banihashemi, “A Novel CMOS Analog Min-Sum Iterative
Decoder,” Microsystems Research and
Development in Canada 2004, Ottawa, Canada, Sept. 2004.
25- S. Hemati
and A.H. Banihashemi, “Comparison between
Continuous-Time Asynchronous and Discrete-Time Synchronous Iterative Decoding,”
in Proceedings of the IEEE Globecom 2004, Dallas, Texas, USA, pp.356-360, Nov. 29
- Dec. 3, 2004.
24- S. Hemati
and A.H. Banihashemi, “On the Dynamics of
Continuous-Time Analog Iterative Decoders,” in Proceedings of the 2004 IEEE
International Symposium on Information Theory, ISIT2004, Chicago, US, p.
262, June 27-July 2, 2004.
23- S. Hemati and A. H. Banihashemi,
“A Current-Mode Maximum Winner-Take-All Circuit with Low Voltage Requirement
for Min-Sum Analog Iterative Decoders,” in Proceedings of the 10th
IEEE International Conference on Electronics, Circuits and Systems, ICECS2003,
Sharjah, UAE, pp. 5-7, December 14 -17, 2003.
22- S. Hemati and A. H. Banihashemi,
“Novel Circuits for Implementing High-Degree Parity-Check and Variable Nodes in
Full CMOS Analog Min-Sum Iterative Decoders,” 2nd Analog Decoding Workshop Zürich,
Switzerland, September 2003.
21- S. Hemati and A. H. Banihashemi,
“Full CMOS Min-Sum Analog Iterative Decoder,” in Proceedings of the 2003
IEEE International Symposium on Information Theory, ISIT2003, Yokohama,
Japan , p. 347, June 29-July 4, 2003.
20- S. Hemati
and A. H. Banihashemi, “Iterative Decoding in Analog
CMOS,” in Proceedings of the 13th ACM Great Lakes Symposium on
VLSI, ACM GLSVLSI 2003, Washington D.C., USA, pp. 15-20, April 27-29, 2003.
19- S. Hemati
and A. H. Banihashemi, “On the Dynamics of Analog
Asynchronous Iterative Decoders,” in Proceedings of the 41st
Annual Allerton
Conference on Communication, Control and Computing , University of
Illinois, US, pp.1679-1687, October 1-3, 2003.
18- S. Hemati and A. H. Banihashemi,
“Analog Asynchronous Iterative Decoding, Different Dynamics with Better Performance,”
2nd Analog Decoding Workshop Zürich, Switzerland, September
2003.
17- M. R. Yazdani,
S. Hemati, and A. H. Banihashemi,
“Improving Belief Propagation on Graphs with Cycles,” in Proceedings of the
2003 Canadian Conference on Information Theory, CWIT2003, Waterloo,
Ontario, Canada, pp.235-238, May 18-21, 2003.
16- S. Hemati and M. Emadi,
“A Method for Analyzing Higher-Order Dispersion in Optical Fiber,” in Proceedings
of the 2003 IEEE Canadian Conference on Electrical and Computer Engineering,
CCECE 2003, Montreal, Canada, pp.289-292, May 4 -7, 2003.
15- F. Farahmand and S. Hemati,
“An Algorithm Based on Evolutionary Programming for Training Artificial Neural
Networks with Non-Conventional Neurons,” in Proceedings of the 2003 IEEE
Canadian Conference on Electrical and Computer Engineering, CCECE 2003,
Montreal, Canada, pp.1845-1848, May 4 -7, 2003.
14- A. H. Banihashemi and S. Hemati, “Decoding in Optics,” in Proceedings of the 2002
IEEE International Symposium on Information Theory, ISIT 2002, Lausanne, Switzerland, p.231, June 30-July
5, 2002.
13- S. Hemati and A. H. Banihashemi, “Low-Cost High-Performance Analog Iterative
Decoders,” 2002 Cito Knowledge Network Conference,
Ottawa, Canada, Oct. 2002. Won the
best paper award
12- S. Hemati and A. H. Banihashemi,
“New Analog VLSI Circuits for Iterative Decoding,” in Proceedings of the 21st
Biennial Symposium on Communications, Queen's University, Kingston,
Ontario, Canada, pp. 261-263, June 2-5, 2002.
11- A. H. Banihashemi and S. Hemati, “
Electro-optical Implementation of Iterative Decoding Algorithms,” in Proceedings
of the 21st Biennial
Symposium on Communications, Queen's University, Kingston, Ontario,
Canada., pp. 474-475, June 2-5, 2002.
10- S. Hemati and A. H. Banihashemi, “Advanced Coding Schemes in Modern WDM
Networks,” 2002 Cito Knowledge Network Conference,
Ottawa, Canada, Oct. 2002.
9- S. Hemati and A. H. Banihashemi,
“Towards Photonic Decoders,” in Technical digest of the Eighth Microptics Conference, MOC’01, Osaka, Japan,
pp.218-221, October 2001.
8- S. Hemati,“ WDM Optical
Components”, Eighth Iranian Conference on Electrical Engineering,ICEE2000,
Isfahan University of Technology, Isfahan, Iran, May 2000.
7- A. Adibi, V. Tahani, S. Hemati, and F. Farahmand, “ Neural Networks with Non-Conventional
Synapses,” in Proceedings of the Eighth Iranian Conference on Electrical
Engineering, ICEE2000, Isfahan, Iran, pp.68-75, May 2000.
6- A. Adibi and S. Hemati, “A Novel Implementation of the Hebbian
Neurons by Subthreshold MOSFETs in the Presence of
Mobile Ions, ” in Proceedings of the Seventh Iranian Conference on
Electrical Engineering, ICEE99, Iran Telecommunication Research Center,
Tehran, Iran, pp. 41-48, May 1999.
5- S. Feiz and S. Hemati, “ Precise Formula for Zero Material Dispersion
Analysis of the Optical Fiber Core,” in Proceedings of the International
Conference on Communication, Computer & Power, ICCCP98, Sultan Qaboos University, Muscat, Sultanate of Oman, pp. 19-23,
December 1998.
4- S. Feiz and S. Hemati, “Dispersion Evaluation by Monte Carlo Simulation,”
in Proceedings of the Fifth Iranian Physics Conference, Optics Session,
Iran University of Science and Technology, Tehran, Iran, pp. 11-14, June 1998.
3- S. Feiz, S. Hemati, and M. Bahadoran,“ Evaluation
of Material Dispersion in Optical Fibers According to Instantaneous Spectrum of
the Light Source,” in Proceedings of the sixth Iranian Conference on
Electrical Engineering, ICEE98, K.N. Toosi
University of Technology, Tehran, Iran, pp. 79-84, May 1998.
2- S. Feiz, S. Hemati, and M. Emadi, “ Exact
Determination of Material Dispersion in SI Optical Fibers,” in Proceedings
of the Fifth Iranian Conference on Electrical Engineering, ICEE97, Sharif
University of Technology, Tehran, Iran, pp. 24-31, May 1997.
1- S. Feiz and S. Hemati, “ Exact Determination of the Derivatives of the
Refractive Index of the Optical Fiber Core,” in Proceedings of the Fourth
Iranian Conference on Electrical Engineering, ICEE96, University of
Tehran, Tehran, Iran, pp. 225-228, May 1996.
Technical Skills
·
Expert knowledge in analog and mixed-signal MOSFET/
Bipolar circuit design (Winner-take-all circuits, current-mode design, low
voltage circuits, current mirrors and current mode design, operational
amplifiers, DA or AD converters, amplifiers, voltage regulators and band gap voltage reference, …).
·
Experience in all aspects of analog chip
design including definition, schematic entry, layout design and trade-offs,
simulations, designing experiments, designing test benchmark, silicon
validation, and debug.
·
Proficiency in solid state physics, VLSI design, and
VLSI fabrication.
·
Proficiency in extremely low-power design and weakly
inverted (sub-threshold) MOSFET design.
·
Experience in RF IC design (LNA, oscillator, mixer, and
power amplifier) for GSM cell phones.
·
Proficiency with the following CAD tools: Spectre/ SpectreRF / HSpice simulators, Cadence design framework, Matlab, Simulink, HP ADS
simulation tools, Virtuoso Layout Editor, DIVA / Assura
/ Calibre Verification tools.
· Excellent mathematical
and statistical skills and strong problem-solving skills.
· Experience in teaching
and mentoring graduate students in all aspects of chip design.
·
Enjoy working on interdisciplinary fields, prior
experience with digital communications and coding theory, neural networks, and
optical communications. Willing to learn and acquire knowledge and new
experiences.