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Ali Ahmadi
M.Sc. Graduated, Computer Engineering (Computer Architecture) School of Electrical and Computer Engineering University of Tehran, 14395-1465, Iran
Tel (work): +98 (21) 61 11 43 55
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Short Biography:
Ali Ahmadi
was born in 1983 in Lordegan, Iran. He received the B.Sc. degree in Computer
Engineering(Hardware) as a top student from
University of
Isfahan
Iran in 2006.
He also has received his MSc degree in Computer Architecture at
University of
Tehran, Tehran, Iran 2009.
He is a research assistant in School of ECE, University of Tehran. He
works on fault-tolerant hardware implementation of Artificial Neural Networks (ANNs)
under the supervision of Dr. Sied Mehdi Fakhraie and Dr.
Caro Lucas.
Education :
2006 –2009: M.Sc., Computer Engineering, University of Tehran (UT), Tehran, Iran (Transcript).
GPA: 17.66 out of 20
GPA: 16.20 out of 20 (Rank 1st)
Research Interests
Research and Work Experiences:
Sep. 2006 – present: Research Assistant, Silicon Intelligence Lab., School of ECE, University of Tehran, Tehran, Iran.
May 2007 – Aug 2008: Research Assistant, Research Institute of Advanced Technologies in Automotive Industry (EMS project), Tehran, Iran.
Fall 2008: Teaching Assistant, VLSI System Design, School of ECE, University of Tehran, Iran.
Fall 2008: Teaching Assistant, Advanced VLSI, School of ECE, University of Tehran, Iran.
Spring 2007: Teaching Assistant, Digital Logic Circuits, School of ECE, University of Tehran, Iran.
Oral Conference Presentations:
A Low-Cost Fault-Tolerant Approach for Hardware Implementation of Artificial Neural Networks, ICCET, Singapore, 2009. (ppt)
Behavioral Fault Model for Neural Networks, ICCET, Singapore, 2009. (ppt)
Particle Swarm Optimization for Run-Time Task Decomposition and Scheduling
in Evolvable MPSoC, ICCET, Singapore, 2009.
Local in SILab:
Multi-Layer Neural Networks and Bit-True modeling of MLNN September 2007. (ppt)
Bit-True modeling of Neural Networks, 2007. (ppt)
Combinational Logic Soft Error Analysis and Protection, 2008. (ppt)
Journal Papers
[1] H. R. Mahdiani, A. Ahmadi, S. M. Fakhraie, and C. Lucas, “Bio-Inspired Imprecise Computational Blocks for Efficient VLSI Implementation of Soft-Computing Applications,” IEEE Transaction on Circuits and Systems I, accepted for publication.
[2] S. Vakili, S. M. Fakhraie, and S. Mohammadi, A. Ahmadi “Low-cost fault tolerance in evolvable multiprocessor system: a graceful degradation approach,” Journal of Zhejiang University SCIENCE A (JZUS-A), accepted for publication.
Conference Papers
R. Yousefi, A. Ahmadi, S. M. Fakhraie, “Design Flow for Hardware Implementation of Digital Filters,” in Proc, International Symposium on Telecommunications (IST2008), Tehran, Iran, Aug. 2008.
A. Ahmadi, M. H. Sargolzaie, S. M. Fakhraie, C. Lucas, and Sh. Vakili, “A Low-Cost Fault-Tolerant Approach for Hardware Implementation of Artificial Neural Networks,” in Proc, ICCET, IEEE Press, Singapore, JAN 2009.
A. Ahmadi, S. M. Fakhraie, and C. Lucas, “Behavioral Fault Model for Neural Networks,” in Proc, ICCET, IEEE Press, Singapore, JAN 2009.
Shervin Vakili, S. Mehdi Fakhraie, Siamak Mohammadi, and Ali Ahmadi
“Particle Swarm Optimization for Run-Time Task Decomposition and Scheduling
in Evolvable MPSoC”, in Proc, ICCET, IEEE Press, Singapore, JAN 2009.
Last update: May. 03, 2009.