S. Mostafa Rahimi Azghadi

From Derek
Revision as of 21:45, 11 September 2014 by Mostafa (Talk | contribs)

Jump to: navigation, search
S. Mostafa Rahimi Azghadi
Mostafa.JPG
Person_Name: S. Mostafa Rahimi Azghadi
Fields: Neuromorphic Engineering, VLSI Design, Memristive Neuromorphic Systems
Workplaces: University of Adelaide
Undergrad_Degree: Computer Hardware Engineering
Masters_University: Iran National University
Masters_Degree: Computer Architecture Engineering
Doctoral_University: University of Adelaide
Doctoral_Degree: Electrical & Electronic Engineering
Doctoral_Advisors: Derek Abbott


S. Mostafa Rahimi Azghadi

S. Mostafa Rahimi Azghadi was born in Mashhad, Iran, in 1982. In 2006, he graduated from Sadjad University of Mashhad, with a Bachelor’s Degree in Computer Engineering (majoring in hardware) with the first class rank. He obtained his Master of Engineering in Computer Architecture with first class honours, from Shahid Beheshti University (SBU), Tehran, Iran, in 2009 under the supervision of Prof. Keivan Navi.

In 2010, he was awarded an Australian International Postgraduate Research Scholarship (IPRS) and the Adelaide University Scholarship (AUS) to pursue his PhD under Dr Said Al-Sarawi, Dr Nicolangelo Iannella, and Prof. Derek Abbott, in the School of Electrical & Electronic Engineering, The University of Adelaide. In 2012 and 2013, he was a visiting scholar in the Neuromorphic Cognitive System group, Institute of Neuroinformatics, University and Swiss Federal Institute of Technology (ETH) Zurich, Switzerland, hosted by Prof. Giacomo Indiveri. During his candidature, Mr Rahimi received several International awards and scholarships including, Japanese Neural Network Society travel award (2011), Brain Corporation fellowship for Spiking Neural Networks (2012), IEEE Computational Intelligence Society travel award (2012), Research Abroad scholarship (2012), the D. R. Stranks fellowship (2012), the Doreen McCarthy Bursary (2013), the IEEE SA Section Student Travel Award (2013), and the Simon Rockliff Scholarship for outstanding postgraduate mentorship from DSTO (2013). Mr Rahimi has served as a reviewer for a number of recognised journals and conferences including IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, PLOS ONE, and IEEE ISCAS AND BIOCAS. He is a member of Iranian National Elite Foundation, graduate student member of the IEEE and IEEE computational intelligence society, student member of the Australian Society for Medical and Biological Engineering, student member of the Australian Associations of Computational Neuroscientists and Neuromorphic Engineers, and member of the Institution of Engineers Australia.


Bachelor's degree

  • Sadjad University of Technology, Mashhad, Iran. First rank with GPA 17.85/20.00 ~ (3.57/4)
  • Project: Simulation and Synthesis of a Data Encryptor

Master's degree

  • Iran National University (aka Shahid Beheshti University) (Nanotechnology and Quantum-dot Cellular Automata). Total GPA 18.12/20.00 ~ (3.62/4)
  • Project: "A Novel Design for QCA Cells and Full adders and Circuit Optimization and Testing in QCA Nanotechnology based on Genetic Algorithms," under prof. Keivan Navi

Doctoral degree

  • Electrical & Electronic Engineering (VLSI Design), University of Adelaide, Australia
  • Thesis: "Neuromorphic VLSI Designs for Spike Timing and Rate-based Synaptic Plasticity with Application in Pattern Classification" under prof. Derek Abbott

Positions

  • Visiting Scholar in Neuromorphic Cognitive Systems (NCS) at the Institute of Neuroinformatics (INI), ETH Zurich, Switzerland

Awards

  • Simon Rockliff Scholarship (DSTO), 2013
  • Doreen McCarthy Research Bursary, 2013
  • IEEE South Australia Section student travel award, 2013
  • Brain Corporation Travel Fellowships for Spiking Neural Networks, 2012
  • The IEEE Computational Intelligence Society travel grant, 2012
  • Research Abroad Scholarship, The University of Adelaide, Australia, 2012
  • DR Stranks travelling fellowship, 2012
  • Japanese Neural Network Society Travel Award, 2011
  • IPRS (International Postgraduate Research Scholarships) by Australian government, 2010
  • AUS (Adelaide University Scholarships), 2010
  • Iran Nanotechnology Initiative Council award for selected master thesis in the field of Quantum-dot Cellular Automata, 2008
  • Iran Nanotechnology Initiative Council award for selected journal publication, 2007
  • First rank award in bachelor of computer hardware engineering graduated students of computer engineering, 2006

Scientific genealogy

Google Scholar profile

Book chapters

Traveling Salesman Problem, ISBN 978-953-7619-10-7, Hard cover, 202 pages, Edited by: Federico Greco, Publisher: IN-TECH, Publication date: September 2008. Chapter title: “Population based optimization algorithms for solving the Traveling Salesman Problem”. M. R. Bonyadi, M. Rahimi Azghadi, H. Shah-Hosseini.


Journal articles

  • M. Rahimi Azghadi, N. Iannella S. Al-Sarawi, G. Indiveri, and D. Abbott, “Spike-based Synaptic Plasticity in Silicon: Design, Implementation, Application, and Challenges,” Proceedings of the IEEE, Vol. 102, No. 5, pp. 717—737, 2014.
  • M. Rahimi Azghadi, S. Al-Sarawi, N. Iannella and D. Abbott, “Tunable Neuromorphic Circuit for Spike-based Synaptic Plasticity,” PLOS ONE, Vol. 9, No. 2, art. no. e88326, 2014.
  • M. Rahimi Azghadi, Saber Moradi, Daniel Fasnacht, Mehmet Ozdas, and Giacomo Indiveri, “Programmable Spike-Timing Dependent Plasticity learning circuits in neuromorphic VLSI architectures,” ACM Journal on Emerging Technologies in Computing Systems, 2013 (Under review).
  • M. Rahimi Azghadi, S. Al-Sarawi, N. Iannella and D. Abbott, “A Neuromorphic VLSI Design for Spike Timing and Rate Based Synaptic Plasticity”, Neural Networks, 2013.
  • M. Rahimi Azghadi, O. Kavehei and K. Navi, “A Novel Design for Quantum-dot Cellular Automata Cells and Full Adders”, Journal of Applied Sciences, Vol. 7, No. 22, pp. 3460-3468, 2007.
  • S. Hashemi, M. Rahimi Azghadi, A. Zakerolhosseini, K. Navi “A Novel FPGA Programmable Switch Matrix Interconnection Element in Quantum-Dot Cellular Automata,” International Journal of Electronics, 2014, (In press).
  • R. Farazkish, M. Rahimi Azghadi, K. Navi and M. Haghparast “New method for decreasing the number of quantum dot cells in QCA circuits”, World Applied Sciences Journal, Vol. 4, No. 6, pp. 793-802, 2008.
  • K. Navi, V. Foroutan, M. Rahimi Azghadi, M. Maeen, M. Ebrahimpour, M. Kaveh, O. Kavehei “A Novel Low-Power Full Adder Cell with New Technique in Designing Logical Gates Based on Static CMOS Inverter”, Microelectronics Journal, Elsevier, Vol. 40, No. 10, pp. 1441-1448, 2009.
  • K. Navi, S. Sayedsalehi, R. Farazkish, M. Rahimi Azghadi, "Five Input Majority gate, a new device for Quantum-dot Cellular Automata", Journal of Computational and Theoretical Nanoscience, American Scientific Publisher, Vol. 7, No. 8, pp. 1546-1553(8), 2010.
  • K. Navi, R. Farazkish, S. Sayedsalehi, M. Rahimi Azghadi, “A New Quantum-dot Cellular Automata Full-Adder," Microelectronics Journal, Elsevier, Vol. 41, No. 12, pp. 820-826, 2010.

Conference articles

  • M. Rahimi Azghadi, Saber Moradi, and Giacomo Indiveri, “Programmable Neuromorphic Circuits for Spike-based Neural Dynamics”, IEEE NEW Conference on Circuits and Systems (NEWCAS13), Paris, June 2013.
  • M. Rahimi Azghadi, Said Al-Sarawi, Nicolangelo Iannella, and Derek Abbott, “A New Compact Analogue VLSI Model for Spike Timing Dependent Plasticity,” the 21st IFIP/IEEE International Conference on Very Large Scale Integration, pp. 7-12, 2013.
  • M. Rahimi Azghadi, Said Al-Sarawi, Derek Abbott, and Nicolangelo Iannella, “Pairing Frequency Experiments in Visual Cortex Reproduced in a Neuromorphic STDP Circuit,” 2013 IEEE International Conference on Electronics, Circuits, and Systems, pp. 229—232, 2013.
  • M. Rahimi Azghadi, Said Al-Sarawi, Nicolangelo Iannella, and Derek Abbott, “Design and Implementation of BCM Rule Based on Spike-Timing Dependent Plasticity”, IEEE International Joint Conference on Neural Networks, pp. 1-7, 2012.
  • M. Rahimi Azghadi, Said Al-Sarawi, Nicolangelo Iannella, and Derek Abbott, “Efficient Design of Triplet Based Spike-Timing Dependent Plasticity”, IEEE International Joint Conference on Neural Networks, pp. 1-7, 2012.
  • M. Rahimi Azghadi, Said Al-Sarawi, Nicolangelo Iannella, and Derek Abbott, “Physical Implementation of Pair-Based Spike-Timing-Dependent Plasticity”, Engineering and Physical Sciences in Medicine and the Australian Biomedical Engineering Conference, Darwin, 2011.
  • M. Rahimi Azghadi, Omid Kavehei, Said Al-Sarawi, Nicolangelo Iannella, and Derek Abbott, “Novel VLSI implementation for triplet-based spike-timing dependent plasticity”, IEEE 2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pp. 158-162, 2011.
  • M. Rahimi Azghadi, Omid Kavehei, Said Al-Sarawi, Nicolangelo Iannella, and Derek Abbott, “Triplet-based spike-timing dependent plasticity in silicon”, The 21st Annual Conference of the Japanese Neural Network Society, P3-35, Okinawa, Japan, 2011.
  • M. Rahimi Azghadi, M. Bonyadi and H. Shah-hosseini, “Gender Classification Based on Feed Forward Backpropagation Neural Network”, 4th Conf. on Artificial Intelligent Applications and Innovations (AIAI07), 2007.
  • M. Rahimi Azghadi, M. Bonyadi, S. Hashemi and M. Ebrahimi Moghadam, “A Hybrid Multiprocessor Task Scheduling Method Based on Immune Genetic Algorithm”, The Fifth International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, 2008.
  • M. Rahimi Azghadi, O. Kavehei and K. Navi, “A New QCA 4-2 Compressor Design”, The 4th Nanotechnology Conference, Kermanshah, Iran, 2008, (in Farsi).
  • O. Kavehei, M. Rahimi Azghadi, K. Navi, A. P. Mirbaha, “Design of Robust and High-Performance 1-bit CMOS Full Adder for Nanometer Design”, IEEE Computer Society Annual Symposium on VLSI, (ISVLSI2008), 2008.
  • M. Bonyadi, M. Rahimi Azghadi, N. Rad, K. Navi and E. Afjei “Logic optimization for majority gate based Nanoelectronic circuits based on genetic algorithms”, IEEE International Conf. on Electrical Engineering (ICEE07), 2007.
  • M. Bonyadi, M. Rahimi Azghadi and H. Shah-hosseini, “Solving Traveling Salesman Problem Using Combinational Evolutionary Algorithm”, 4th Conf. on Artificial Intelligent Applications and Innovations (AIAI07), 2007.
  • S. Hashemi, M. Rahimi Azghadi and A. Zakerolhosseini, “A novel QCA Multiplexer Design”, IEEE, International Symposium on Telecommunications (IST2008), 2008.
  • A. Adineh-Vand, G. L. Shabgahi, M. Rahimi Azghadi, “Increasing testability in QCA circuits using a new test method”, 3rd IEEE international Design and Test workshop, IDT’08, 2008.
  • N. Kazemi, M. Ebrahimpour, M. Rahimi Azghadi, M. Tehrani and K. Navi, “Performance evaluation of In-Circuit Testing on QCA based circuits”, 8th IEEE East-West Design & Test Symposium (EWDTS08), 2008.
  • A. Adineh-Vand, F. Parandin, M. Rahimi Azghadi, A. Khalilzadeh, “Solving Multi-Processor Task Scheduling Problem Using a Combinatorial Evolutionary Algorithm”, The 9th Workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP09), 2009.

Tutorials and other publications

See also

External links

Back

Retrieved from "https://www.eleceng.adelaide.edu.au/personal/dabbott/wiki/index.php?title=S._Mostafa_Rahimi_Azghadi&oldid=14136"