SCHOOL OF ENGINEERING AND COMPUTER SCIENCE

Mohammad Ayat, PhD Student

BSc (Hons) and MSc in Electrical Engineering, Major: Bioelectrics

address

Phone: +64 4 463 5233 x7077
Location: AM220, Alan MacDiarmid Building, Kelburn Campus - Postal Address

Research Interests: Biomedical modeling, statistical signal processing, biomedical signal processing, classification, time-frequency analysis
Thesis Title: Modelling the Generation of the Cochlear Microphonic
Supervisor: Dr Paul Teal,Dr Mark McGuinness

MohammadAyat.jpg

 

Communications and Signal Processing Research group

CV

EDUCATION

M.Sc, Electrical Engineering, 2004-2006

Sharif University of Technology, Tehran, Iran

Academic Research Experiences

M. Sc,

Fetal ECG Extraction (thesis subject)

in my thesis I have worked on:

  • Blind source separation and Independent component analysis (BSS and ICA method)
  • Adaptive Filter
  • wavelet
  • ECG denoising (related subject to my dissertation)

BS,

Speech recognition (thesis subject)

in my thesis I have worked on:

  • Classification methods
  • Neural network
  • Fuzzy logic

Work Research Experiences

  • Worked on Fetal ECG prototype
    using DSP (TMS320VC5510), Labview

  • Worked on ECG standard (EC13)
  • Developed a system based on Advantech data acquisition cards for measuring accuracy of vital signs monitor.

Soft Ware and programming language Experiences

Visual C++, Matlab, Porotel (Altium Designer) , Labview

Hardware Experiences

Microcontrollers (8051 , AVR) family , DSP processors (TMS320vc5510 and TMS320vc540

Graduate Courses
  • Digital Signal Processing
  • Biomedical Signal Processing
  • Time-Frequency, Filter Bank and Wavelet
  • Digital Imaging Processing
  • Artificial Neural Networks, Fuzzy Logic

Research Interests

  • Biomedical Signal and Image Processing
  • Digital Signal Processing
  • Statistical Signal Processing
  • Speech Processing
  • Pattern Recognition
  • Blind source separation & Independent component analysis
  • Neural Networks
  • Wavelet
  • Embedded Microprocessor systems
  • Medical Instrumentation

Honors & Awards

  • Ranked 164th in Electrical Engineering M.Sc. entrance exam among more than 11000 Electrical Engineers
  • Ranked 48th in B.Sc. entrance exam among more than 50000 students
  • Received a MSc Project financial Support from the Iran Telecommunication Research Center (ITRC), 2005.

Technical Reports

  • M. Ayat, Fetal ECG signal processing approach, Seminar Report, S harif University of Technology , Tehran, Iran, 2005.
  • M. Ayat, Fetal ECG reviewing methods, Research Project Report, Sharif University of Technology, Tehran, Iran, 2006.

Memberships

Member of the Institute of Electrical and Electronics Engineering (IEEE), since 2005.

Publications

Book:

Matlab 6.1 (Programming and GUI), in Persian

ISBN: 964-354-248-3

CONFERENCES:

[1] Ayat, M.; Assaleh, K.; Al-Nashash, H., “ Prototype of a standalone Fetal ECG monitor Oct. 2010 Page(s): 617 - 622 ”,2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA 2010), October 3-5, 2010, Penang, Malaysia

[2] Ayat. M, Shamsollahi, M. B., Mozaffari. B, Kharabian. S,
“ ECG Denoising Using Modulus Maxima of Wavelet Transform ”, 3-6 Sept. 2009 Page(s):416 - 419, 31st Annual International Conference of the IEEE EMBS, inneapolis, Minnesota, USA, September 2-6, 2009

[3] M. Ayat, K. Assaleh, and H. Nashash, “ Fetal ECG Extraction from a Single Abdominal ECG Signal using SVD and Polynomial Classifiers ”, The 2008 IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING, October, Cancun, Mexico, 2008.

[4] M. Ayat, K. Assaleh, H. Nashash, “ A Novel Methodology for Fetal Heart Rate Extraction From The Abdominal Electrocardiogram ”, Cairo International Biomedical Engineering Conference (CIBEC'08), December 2008, Cairo, Egypt.

[5] M. Ahmadi, M. Ayat, K. Assaleh, H. Nashash, “ Fetal Ecg Signal Enhancement Using Polynomial Classifiers And Wavelet Denoising ”, Cairo International Biomedical Engineering Conference (CIBEC'08), December 2008, Cairo, Egypt.

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