Fatemeh Razavipour, Ph.D. student

Fatemeh

Fatemeh Razavipour received her Bachelor Degree in Electrical and Computer Engineering and Master degree in Artificial Intelligence in Shiraz University in Iran in 2013. She is now pursuing a PhD of Physics in Concordia University.

  • Supervisor: Christophe Grova Ph.D.
  • Co-supervisor: Claudine Gauthier Ph.D.

Contact Info

  • Multimodal Functional Imaging Laboratory
  • Physics Department and PERFORM Centre at Concordia University
  • Address: SP365.23, Physics department, 7141 Rue Sherbrook St. W, Montreal, Quebec H4B 1R6
  • Phone:
  • Fax:
  • Email: f.razavipoor@gmail.com

Research Interests

Her general research interests are Neuroimaging, Statistical Signal Processing, Machine learning and Pattern recognition. Her PhD research focused on calibrated fMRI an investigating the brain’s metabolism and connectivity especially in epilepsy.

Publications

Peer-reviewed Journal Publications:

Fatemeh Razavipour, Reza Sameni, “A General Framework for Extracting Fetal MEG and Audio-Evoked Responses”, Journal of Neuroscience Methods, Volume 212, Issue 2, 30 January 2013, Pages 283–296, ISSN 0165–0270.

Somayeh Afrasiabi,Reza Boostani,Farid Zand, Fatemeh Razavipour, “ Introducing a Novel Index for Measuring Depth of Anesthesia based on Visual Evoked Potential (VEP) features ,” Iranian Journal of Science and Technology. Transactions of Electrical Engineering, 36(E2), 131.

Fatemeh Razavipour , Reza Boostani, Samaneh Kouchaki “ Comparative Application Of Non-negative Decomposition Methods In Classifying Fatigue And Non-Fatigue States”, 2013Arabian Journal for Science and Engineering, no:AJSE-D-12–00884R4.

Fatemeh Razavipour, Reza Sameni “A Study of Event Related Potential Frequency Coherency using Multichannel Electroencephalogram Subspace Analysis”,2015, Journal of neuroscience methods 249: 22–28.

Fatemeh Razavipour, Mohammad Hosein Nikoo, “ Numerical Estimation of Ejection Fraction from 12-lead ECG”,2015, J Bioengineer & Biomedical Sci 6:172.

Peer-reviewed International Conference

Fatemeh Razavipour, Reza Boostani, Mohammad Reza Keshtkaran, Mahsa Taghavi, “Using Non-negative Decomposition Methods to Classify Fatigue from Non-Fatigue State “, International Conference on Emerging Trends in Computer and Electronics Engineering, Dubai, psrcentre.org ,Jan. 2012

Fatemeh Razavipour, Masoumeh Haghpanahi, Reza Sameni”Fetal QRS complex detection Using semi-blind source separation framework”,Computing in Cardiology Conference (CinC), 2013 , vol., no., pp.181,184, 22–25 Sept. 2013.