Difference between revisions of "S. Mostafa Rahimi Azghadi"

Revision as of 16:10, 29 July 2013

S. Mostafa Rahimi Azghadi
Person_Name:	S. Mostafa Rahimi Azghadi
Birth_Date:	1982
Birth_Place:	Iran
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

Mostafa Rahimi Azghadi received the M.Sc. degree in Computer Architecture Engineering from the National University of Iran (Shahid Beheshti University), Tehran, Iran, in 2009. He is currently pursuing the Ph.D. degree in electrical and electronic engineering, at the University of Adelaide. His current research interests include Neuromorphic engineering, and learning algorithms in Spiking Neural Networks. Mr. Rahimi was a recipient of several International awards and scholarships including, International Postgraduate Research Scholarship (IPRS) by the Australian Government (2010), Adelaide University Scholarship (AUS) (2010), Japanese Neural Network Society travel award (2011), Brain corporation award (2012), and IEEE Computational Intelligence Society travel award (2012). He is a member of Iranian national elite organization, graduate student member of Institute of Electrical and Electronics Engineers (IEEE), and a student member of the Australian Society for Medical and Biological Engineering. He has been a program committee member and reviewer for several international journals and conferences.

Bachelor's degree

• Sadjad Institute of Higher Education, Mashhad, Iran. Total 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: "VLSI Implementations of Synaptic Plasticity Rules," under prof. Derek Abbott

Positions

• PhD researcher at Neuromorphic Cognitive Systems (NCS) at Institute of Neuroinformatics (INI), University and ETH Zurich, Switzerland

Awards

• 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

• Azghadi's Scholar Google 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, 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.

• 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, “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

• OCEAN tutorial crash by Mostafa Rahimi Azghadi OCEAN_Mostafa Rahimi_Adelaide.pdf

See also

• List of Derek Abbott's PhD students

External links

• Azghadi's GS profile
• Azghadi's RG profile
• [1]
• [2]

Back

• Back to MyUni
• Back to Derek Abbott's homepage
• Back to EEE Department page
• Back to the University of Adelaide homepage