About me

I am currently a postdoctoral researcher at Wellcome Centre for Integrative Neuroimaging (WIN), at University of Oxford working with a fantastic team of scientists on brain connectivity (cross-species, region-to-region, etc.) models using signal processing and AI. Before this role, I was a Research Fellow in AI-human Teams for Cybersecurity within the School of Computing and Information Systems at The University of Melbourne (Nov. 2023 - March 2024) and a Postdoctoral Researcher at the Department of Computer Science and Software Engineering at The University of Western Australia (Sept. 2021 - Oct. 2024). My primary area of research centers around robust learning and estimation, encompassing experience in a variety of projects, including but not limited to developing Visual Positioning Systems, Small Object Detection, Brain Activity Detection, Suicide Prediction, and Diffusion Models.

I had the opportunity to be a Visiting Researcher at Wellcome Centre for Integrative Neuroimaging, at University of Oxford, where I contributed to brain comparative analysis model for joint species analysis. I was also a Visiting Researcher at the School of Mathematics and Statistics at The University of Melbourne, where I was involved in developing Statistical Signal Processing techniques for electronic systems.

I received my PhD from The University of Melbourne, at EEE departmet where my research focused on the application of robust signal and image processing techniques in the realm of brain activity detection (Thesis) under the supervision of Prof. Robin J. Evans and A/Prof. Karim Seghouane. Notable achievements during my doctoral studies include the development of innovative signal processing methods for Canonical Correlation Analysis (CCA), Robust Detectors, Sparse Dictionary Learning (SDL), and Subspace Tracking Systems. I received my MSc and BSc degrees from Amirkabir University of Technology and KN Toosi University of Technology both in electrical and electronic engineering.

Research Interests

Image Processing, Deep Learning, Robust Signal Processing, Computer Vision, Medical Imaging, and Biomedical Data Analysis.

PhD Students

Ashkan Taghipour, PhD student at the Department of Computer Science and Software Engineering, The University of Western Australia. Project: Visual Stories from Free-Form Language with Generative Models.

Selected Publications

Learning Robust and Sparse Principal Components with the α-Divergence
A.M. Rekavandi, A.K. Seghouane, & R.J. Evans
IEEE Transactions on Image Processing, 2024
IEEE Xplore Matlab Code

Analysis and evaluation of explainable artificial intelligence on suicide risk assessment
Hao Tang, A.M. Rekavandi, Dharjinder Rooprai, Girish Dwivedi, Frank M. Sanfilippo, Farid Boussaid & M. Bennamoun
Scientific Reports, 2024
Nature Python Code

B-Pose: Bayesian Deep Network for Camera 6-DoF Pose Estimation from RGB Images
A.M. Rekavandi, F. Boussaid, A.K. Seghouane, & M. Bennamoun
IEEE Robotics and Automation Letters, 2023
IEEE PDF Python Code

TRPAST: A tunable and robust projection approximation subspace tracking method
A.M. Rekavandi, A.K. Seghouane, & K. Abed-Meraim
IEEE Transactions on Signal Processing, 2023
IEEE Xplore Matlab Code

Adaptive brain activity detection in structured interference and partially homogeneous locally correlated disturbance
A.M. Rekavandi, A.K. Seghouane, & R.J. Evans
IEEE Transactions on Biomedical Engineering, 2022
IEEE Xplore Matlab Code

Robust Subspace Detectors Based on α-Divergence With Application to Detection in Imaging
A.M. Rekavandi, A.K. Seghouane, & R.J. Evans
IEEE Transactions on Image Processing, 2021
IEEE Xplore Matlab Code

News

  • 5/2024: Our paper on Robust and Sparse PCA has been accepted in IEEE TIP. (Link)
  • 3/2024: Our paper on suicide risk assesment using XAI framework has been accepted in Scientific Reports. (Link)
  • 3/2024: I have been appointed as a Postdoctoral Researcher at Nuffield Department of Clinical Neurosciences, Medical School Devision, University of Oxford.
  • 10/2023: I have been appointed as a Postdoctoral Research Fellow working with “CATCH” centre at CIS School, The University of Melbourne.
  • 9/2023: Our survey paper on transformers in small object detection is now online. (Link)
  • 8/2023: Our paper on Bayesian Pose Estimation has been accepted in IEEE RA-L. (Link)
  • 6/2023: Our paper on Subspace Tracking Systems has been accepted in IEEE TSP. (Link)
  • 6/2023: Our paper on Robust Block-Structured Dictionary Learning (RBDL) has been accepted in Pattern Recognition Letters. (Link)
  • 4/2023: Our paper on pose estimation has been accepted in Pattern Recognition. (Link)
  • 3/2023: I have been appointed as a Visiting Researcher working with Prof. Saad Jbabdi at Nuffield Department of Clinical Neurosciences, Medical School Devision, University of Oxford.
  • 2/2023: Two accepted papers for presentation at ICASSP 2023. (Link1) (Link2)
  • 1/2023: Our grant proposal: “Analytics for the Australian Grains Industry (AAGI)” is successfully accepted for Associate Partnership level.
  • 12/2022: We have discussed recent advances in small object detection in our workshop held in conjunction with ACCV2022. (Link)
  • 3/2022: I have been appointed as the visiting scholar working with A/Prof. Karim Seghouane at School of Mathematics and Statistics, The University of Melburne.