20082021
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Personal profile

Biography

Dr. Razi is a Senior Research Fellow, ARC DECRA Fellow and Principal Investigator of recently established Computaitonal and Sytems Neuroscience Laboratory (http://www.adeelrazi.org) at the Monash Institute of Cognitive & Clinical Neuroscience and Monash Biomedical Imaging. He is an Honorary Senior Research Associate at the Wellcome Centre for Human Neuroimaging of University College London where he also worked from 2012 to 2018. He was also an Associate Professor in the Department of Electronic Engineering at the N.E.D. University of Engineering & Technology, Karachi, Pakistan. He received the B.E. degree in Electrical Engineering from the N.E.D. University of Engineering & Technology, the M.Sc. degree in Communications Engineering from the University of Technology Aachen (RWTH), Germany, and the Ph.D. degree in Electrical Engineering from the University of New South Wales, Australia in 2012. His industrial stints include employment with Broadcom Corporation as Staff Scientist and internships with Infineon Technologies and Delphi Delco Electronics GmbH.

Research interests

Dr. Adeel Razi develops techniques for brain mapping in health and disease. His research interests are in modelling complex, multi-scale, network dynamics of brain structure and function using neuroimaging. Our lab develops computational neuroimaging methods using tools from signal processing, machine learning, and dynamical systems. We use our models to integrate empirical data, measured using (resting state) functional and diffusion MRI, to investigate basic disease mechanisms in neurodegenerative diseases (e.g., Huntington ’s disease, Alzheimer disease and Frontotemporal Dementia). 

  • Computational Neuroscience, Brain Connectivity, functional MRI, EEG/MEG, Dynamic Causal Modelling

  • Signal Processing, Machine Learning, Big Data, Bayesian Statistics, and Dynamical Systems

  • Dementia - Huntington's Disease, Alzheimer's Disease and Frontotemporal Dementia

Supervision interests

Our lab (http://www.adeelrazi.org) is highly interdisciplinary so we welcome applications from students with quantitative background in Engineering, Computer Science or Physics and also students with background in Psychology, Neuroscience or Medicine.

  • There is one PhD stipend available immediately (at 2018 rate of AUD 27,353 per annum) for the duration of 3 years. The project is funded by the ARC DECRA Fellowship awarded to Dr Adeel Razi. Suitable for domestic students as only PhD stipend is covered.
  • Expressions of interest are sought for PhD scholarships, both domestic (PhD stipend) and international students (Tuition fee + PhD stipend). See the link: https://www.monash.edu/graduate-research/future-students/scholarships
  • For outstanding students additional top-up scholarships are available (AUD 10,000 - 15,000 per annum).

The successful applicant(s) will work under the mentorship of Dr Adeel Razi (primary advisor) and will also have an opportunity to spend time in lab(s) of our international collaborators. There is generous funding available to attend/present at international and local conferences every year.  

Expressions of interest should include:

  • a curriculum vitae including academic transcript(s) and any published works; and
  • names and contact details of 2 academic referees

Research area keywords

  • Neuroscience
  • functional MRI
  • Signal Processing
  • Machine Learning
  • Dementia
  • Huntington's Disease
  • Alzheimer's Disease
  • resting state fMRI
  • Neuroimaging

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Projects 2017 2021

Research Output 2008 2019

A guide to group effective connectivity analysis, part 1: First level analysis with DCM for fMRI

Zeidman, P., Jafarian, A., Corbin, N., Seghier, M. L., Razi, A., Price, C. J. & Friston, K. J., 15 Oct 2019, In : NeuroImage. 200, p. 174-190 17 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File

Dynamic causal modelling of fluctuating connectivity in resting-state EEG

Van de Steen, F., Almgren, H., Razi, A., Friston, K. & Marinazzo, D., 1 Apr 2019, In : NeuroImage. 189, p. 476-484 9 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File

Dynamic causal modelling revisited

Friston, K. J., Preller, K. H., Mathys, C., Cagnan, H., Heinzle, J., Razi, A. & Zeidman, P., 1 Oct 2019, In : NeuroImage. 199, p. 730-744 15 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File

Effective connectivity changes in LSD-induced altered states of consciousness in humans

Preller, K. H., Razi, A., Zeidman, P., Stämpfli, P., Friston, K. J. & Vollenweider, F. X., 12 Feb 2019, In : Proceedings of the National Academy of Sciences of the United States of America. 116, 7, p. 2743-2748 6 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File

Inferring neural signalling directionality from undirected structural connectomes

Seguin, C., Razi, A. & Zalesky, A., 19 Sep 2019, In : Nature Communications. 10, 1, 13 p., 4289.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File