Dr Mostafa Rahimi Azghadi - Research Portfolio

JCU > Research Portfolio > Dr Mostafa Rahimi Azghadi

About

S. Mostafa Rahimi Azghadi graduated with a Bachelor’s Degree in Computer Engineering (majoring in hardware) with the first class rank in 2006 and obtained his Master of Engineering in Computer Architecture with first class honours and commended thesis, from Shahid Beheshti University (SBU), Tehran, Iran, in 2009. In 2010, he was awarded an Australian International Postgraduate Research Scholarship (IPRS) and the Australian Postgraduate Award (APA) to pursue his PhD in the School of Electrical & Electronic Engineering, The University of Adelaide. In 2014 he completed his PhD with Dean's commendation for doctoral thesis excellence with a thesis entitled "Neuromorphic VLSI Designs for Spike Timing and Rate-based Synaptic Plasticity with Application in Pattern Classification" earning the Doctoral Research Medal, as well as the Adelaide University Alumni Medal, which is awarded to only one alumnus annually. 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.

From 2014 to 2015, Dr Rahimi was a postdoctoral fellow in a joint industry-university project between The University of Adelaide and Australian Semiconductor Technology Company (ASTC), working in the area of smart sensors for biomedical applications. From 2015 to 2016, Mostafa was a postdoctoral fellow at the University of Sydney School of Electrical and Information Engineering, where he researched in the area of VLSI design and VLSI interfaces for nanoscale sensors. In 2016, Dr Rahimi joined JCU as a continuing lecturer (assistant professor), where he is currently involved in teaching and research in the areas of neural-inspired computing, embedded system designs, hardware acceleration of machine learning algorithms, memristive computing, and nanoelectronics.

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PhD Scholarship Opportunities

I am always looking for talented and self-motivated students who would like to join my group. Students seeking a scholarship should initially contact me to discuss their proposed research project or to be given possible research ideas for a PhD scholarship application.

Australian Government Research Training Program Scholarships and James Cook University Postgraduate Scholarships are competitive scholarships open to domestic and international research applicants. More information on these scholarships and the application deadlines/requirements are outlined at Postgraduate Research Scholarships. Application deadlines for JCU scholarships are as usually Late September.

Another funding opportunity for the international PhD scholarship applicants is Endeavour Postgraduate Scholarship.

China Scholarship Council (CSC) scholarship also offers funding for Chinese students who would like to study a PhD in Australia. Furthermore, PhD students currently studying in China can apply for a CSC visiting PhD scholarship. Please contact me directly if interested.

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Postdoctoral Fellowships Opportunities

I am highly interested to host postdoctoral fellows in my group to collaborate with our research team and to conduct high-quality and impactful research. Interested applicants should contact me to discuss their research proposal and after approval can apply for a short-term postdoctoral research fellowship.

Teaching

CC2511: Embedded Systems Design (Level 2; TSV)
CC3501: Computer Interfacing and Control (Level 3; TSV)
EG1002: Computing and Sensors (Level 1; TSV)

Interests

Professional

IEEE Northern Australia Section Treasurer
Founding chair of IEEE NA Young Professional Group.

Research

Neuromorphic Engineering, Nanoelectronics, Embedded Systems, Hardware Acceleration of Machine Learning Algorithms

Teaching

I teach three hands-on engineering subjects ranging from first-year programming to third-year embedded system design, in Townsville. My main teaching philosophy is to connect theory with practice. In addition, I put a strong emphasis on hands-on and project-based learning, where the students learn by doing. Furthermore, in my lectures, I always give my students examples of where and how the theoretical materials they study is applied in their everyday lives and the many electronic systems around them. This has shown to significantly increase student’s engagement in the lectures.

Experience

2019 to present - Senior Lecturer, James Cook University (Townsville, Australia)
2018 to present - Associate Editor, Frontiers in Neuroscience - Neuromorphic Engineering
2017 to present - Associate Editor, IEEE ACCESS Journal
2016 to 2018 - Lecturer, James Cook University (Townsville, Australia)
2015 to 2016 - Postdoctoral Research Associate, The University of Sydney (Sydney, Australia)
2014 to 2015 - Postdoctoral Research Fellow, The University of Adelaide (Adelaide, Australia)
2014 to 2015 - Verification Engineer, ASTC Australian Semiconductor Technology Company (Adelaide, Australia)
2012 to 2014 - PhD Student, Institute of Neuroinformatics, University of Zurich and ETH Zurich (Zurich, Switzerland)
2010 to 2014 - PhD Student, The University of Adelaide (Adelaide, Australia)

Research Disciplines

Socio-Economic Objectives

Honours

Awards

2018 - Rising Stars Research Award
2017 - QLD Young Tall Poppy Science Award
2017 - Supervisor of the best Engineering Thesis at JCU that received the Engineers Australia CN Barton Medal
2015 - Adelaide Postgraduate Alumni University Medal
2015 - Gertrude Rohan Memorial Medal and Prize
2015 - South Australia Science Excellence Awards
2015 - Australian Nanotechnology Network Young Science Ambassador Award
2014 - University Doctoral Research Medal
2014 - Dean's Commendation for Doctoral Thesis Excellence
2013 - Doreen McCarthy Research Bursary
2013 - IEEE SA Section Student Travel Award
2013 - Simon Rockliff Scholarship
2012 - The IEEE Computational Intelligence Society travel grant
2012 - Brain Corporation Travel Fellowships for Spiking Neural Networks
2012 - Research Abroad Scholarship, The University of Adelaide, Australia
2011 - Japanese Neural Network Society Travel Award
2010 - IPRS (International Postgraduate Research Scholarships) by Australian government

Fellowships

2016 - Endeavour Fellowship
2015 - Biomimetic and Neurotechnology Fellowship
2012 - DR Stranks Fellowship

Memberships

2017 - Australian Brain Alliance EMCR Brain Science Network Steering Committee member

Publications

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles

Hashemi S, Rahimiazghadi Azghadi M and Navi K (in press) Design and Analysis of Efficient QCA Reversible Adders. The Journal of Supercomputing,
Lammie C, Hamilton T, van Schaik A and Rahimi Azghadi M (in press) Efficient FPGA implementations of pair and triplet-based STDP for neuromorphic architectures. IEEE Transactions on Circuits and Systems I: Regular Papers,
Aghnout S, Karimi G and Rahimiazghadi M (2017) Modeling triplet spike-timing-dependent plasticity using memristive devices. Journal of Computational Electronics, 16 (2). pp. 401-410
Nguyen C, El Kass A, Rahimi Azghadi M, Jin C, Scott J and Leong P (2017) An enhanced MOSFET threshold voltage model for the 6–300 K temperature range. Microelectronics Reliability, 69. pp. 36-39
Rahimiazghadi M, Linares-Barranco B, Abbott D and Leong P (2017) A hybrid CMOS-memristor neuromorphic synapse. IEEE Transactions on Biomedical Circuits and Systems, 11 (2). pp. 434-444
Hashemi S, Rahimi Azghadi M, Zakerolhosseini A and Navi K (2015) A novel FPGA-programmable switch matrix interconnection element in quantum-dot cellular automata. International Journal of Electronics, 102 (4). pp. 703-724
Rahimiazghadi M, Moradi S, Fasnacht D, Ozdas M and Indiveri G (2015) Programmable spike-timing-dependent plasticity learning circuits in neuromorphic VLSI architectures. ACM Journal on Emerging Technologies in Computing Systems, 12 (2). pp. 1-17
Sayedsalehi S, Rahimi Azghadi M, Angizi S and Navi K (2015) Restoring and non-restoring array divider designs in quantum-dot cellular automata. Information Sciences, 311. pp. 86-101
Rahimi Azghadi M, Iannella N, Al-Sarawi S, Indiveri G and Abbott D (2014) Spike-based synaptic plasticity in silicon: design, implementation, application, and challenges. Proceedings of the IEEE, 102 (5). pp. 717-737
Rahimi Azghadi M, Iannella N, Al-Sarawi S and Abbott D (2014) Tunable low energy, compact and high performance neuromorphic circuit for spike-based synaptic plasticity. PLoS ONE, 9 (2). pp. 1-14

Conference Papers

Lammie C, Hamilton T and Azghadi M (2018) Unsupervised character recognition with a simplified FPGA neuromorphic system. Proceedings of the IEEE International Symposium on Circuits and Systems. In: 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 27-30 May 2018, Florence, Italy
Rahimi Azghadi M, Al-Sarawi S, Iannella N and Abbott D (2013) A new compact analog vlsi model for spike timing dependent plasticity. Proceedings of the 21st International Conference on Very Large Scale Integration (VLSI-SoC). In: 2013 IFIP/IEEE: 21st International Conference on Very Large Scale Integration (VLSI-SoC), 7-9 October 2013, Istanbul, Turkey

More: ResearchOnline@JCU stores 39+ research outputs authored by Dr Mostafa Rahimi Azghadi from 2007 onwards.

Supervision

Advisory Accreditation: I can be on your Advisory Panel as a Primary or Secondary Advisor.

These Higher Degree Research projects are either current or by students who have completed their studies within the past 5 years at JCU. Linked titles show theses available within ResearchOnline@JCU.

Current

Improving Weed Species Detection for Robotic Weed Control (PhD , Secondary Advisor)
Fabrication and Characterization of Antibacterial Surfaces Derived From Geranium Essential Oil Using PECVD (PhD , Secondary Advisor)
Design and Development of a Smart Automated Machine Learning Tool for User Assistance. (PhD , Primary Advisor)
Extraction of Hierarchical Temporal-Spatial Features for Scene Labeling Applications (PhD , Primary Advisor)
Hardware Implementation of Limited-Precision Machine-Learning Algorithms for Edge Computing (PhD , Primary Advisor)

Collaboration

The map shows research collaborations by institution from the past 7 years.
Note: Map points are indicative of the countries or states that institutions are associated with.