Dr Mostafa Rahimi Azghadi
Postdoctoral Research Associate

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 annually unique Adelaide University Alumni Medal. 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, Dr Rahimi received more than 15 nationally and internationally competitive scholarships and awards. 

From 2014 to 2015, Dr Rahimi was a postdoctoral research fellow in Centre for Bimomedical Engineering (CBME), in the school of Electrical and Electronic Engineering, The University of Adelaide, working in the area of smart sensors for biomedical applications as well as neuromorphic VLSI and neuromorphic memristive systems. 

Mostafa's current research interests lie in the area of VLSI design and VLSI interfaces for nanoscale sensors.

Awards & Achievements

-- Endeavour Postdoctoral Fellowship

-- The Postgraduate Alumni University Medal (The Medal is awarded to only one postgraduate student across all disciplines, each year. It recognises outstanding academic merit at the postgraduate level through coursework, thesis or a combination of both.)

-- SA Science Excellence Awards Finalist (The only finalist from the University of Adelaide, in the PhD Research Excellence Category)

-- University Doctoral Research Medal (For outstanding research at PhD level, awarded by the vice chancellor and president of the university)

-- The Convergent Science Network (CSN) of Biomimetic and Neurotechnology Fellowship

-- 2015 Gertrude Rohan Memorial Prize and Medal for Excellent PhD Thesis in the School of Electrical and Electronic Engineering

-- 2015 South Australia People's Choice Science Award (Second Place)

-- Australian Nanotechnology Network Young Science Ambassador Award

-- Dean's Commendation for Doctoral Thesis Excellence

-- Outstanding mentor of the School of Electrical and Electronic Engineering Certificate

-- Doreen McCarthy Research Bursary

-- Co-author of one of most cited Microelectronics Journal articles

-- Simon Rockliff Scholarship (DSTO)

-- IEEE South Australia Section student travel award

-- Brain Corporation Travel Fellowships for Spiking Neural Networks

-- The IEEE Computational Intelligence Society travel grant

-- Research Abroad Scholarship, The University of Adelaide, Australia

-- DR Stranks travelling fellowship, The University of Adelaide, Australia

-- Best paper award nomination in the 2012 World Congress on Computational Intelligence

-- Japanese Neural Network Society Travel Award to attend the 21st Annual Japanese Neural Network Society Conference in Okinawa, Japan

-- IPRS (International Postgraduate Research Scholarships) by Australian government

-- APA (Australian Postgraduate Award) for PhD in Electrical and Electronic Engineering at the University of Adelaide, Australia

-- Iran Nanotechnology Initiative Council award for selected master thesis in the field of Nanotechnology (Quantum-dot Cellular Automata)

-- Iran Nanotechnology Initiative Council award for selected journal publication

-- Member of exceptional talents organization of the Iranian National University

-- Member of Elite National Organization of Iran

-- Ranked among top 1% of participants in the nationwide university entrance exam for M.Sc. degree

-- Ranked first among all B.Sc. graduated students of computer engineering, Sadjad University of Technology

-- Ranked among top 2% of participants in the university entrance exam for M.Sc. degree in Artificial Artificial Intelligence in Azad University

 

Selected Publications

For a complete list of my publications, please see my google scholar profile.

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, S. Al-Sarawi, D. Abbott, and N. Iannella, “A Neuromorphic VLSI Design for Spike Timing and Rate Based Synaptic Plasticity,” Neural Networks, Vol. 45, pp. 70-82, 2013.

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, 2015.

M. Rahimi AzghadiS. Sayedsalehi, S. Angizi, and K. Navi, “Restoring and non-restoring array divider designs in Quantum-dot Cellular Automata,” Information Sciences, 2015.

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.

 

Conference Papers

M. Rahimi Azghadi, G. Indiveri, and D. Abbott, “Neuromorphic Engineering: Neuromimetic Computation for Understanding the Brain,” IEEE Life Sciences, June 2014.

M. Rahimi Azghadi, Saber Moradi, and Giacomo Indiveri, “Programmable Neuromorphic Circuits for Spike-based Neural Dynamics,” IEEE NEW Conference on Circuits and Systems (NEWCAS13), DOI: 10.1109/NEWCAS. 2013.6573600, 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, DOI: 10.1109/IJCNN.2012.6252778, 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, DOI: 10.1109/IJCNN.2012.6252820, 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, Vol. 34, art. no. 141, 2011.

M. Rahimi Azghadi, Said Al-Sarawi, Nicolangelo Iannella, and Derek Abbott, “Emergent BCM via neuromorphic VLSI synapses with STDP,” 5th Australia Workshop on Computational Neuroscience, Sydney, Australia, 2011.

M. Rahimi AzghadiOmid Kavehei, Said Al-Sarawi, Nicolangelo Iannella, and Derek Abbott, “Novel VLSI implementation for triplet-based spike-timing dependent plasticity,” 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,” Conference 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).

 

Professional Associations

Member of the Institute of Electrical and Electronic Engineers (IEEE)

Member of the IEEE Young Professionals

Member of the Institute of Neuromorphic Engineering

Member of the Australian Society for Medical and Biological Engineering

Member of The Australian Associations of Computational Neuroscientists and Neuromorphic Engineers (NeuroEng)

Member of the Australian Nanotechnology Network

Member of the institute of Engineers Australia

 

Community Engagement

Editor:

FRONTIERS IN NEUROSCIENCE (NEUROMORPHIC ENGINEERING - Review Editor) 

 

Reviewer (Selected): 

IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS (TBCAS)

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS (TCAS)

IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) (TVLSI)

IOP Journal of Neural Engineering

PLOS ONE

Neural Computing and Applications 

Microprocessors and Microsystems

Journal of Applied Physics A

Microelectronics Journal

Journal of Low Power Electronics

Journal of Circuits, Systems and Computers 

Frontiers of Optoelectronics

IEEE International Conference on Biomedical Circuits and System (BIOCAS)

IEEE International Symposium on Circuits and System (ISCAS)