Dr Ghasem Azemi

Department of EE
Razi University


 


Personal Information

Last name                         : Azemi
First name                         : Ghasem
E-mail address                 : g.azemi@razi.ac.ir; Ghasem.Azemi@gmail.com
Contact details                 : +98 833 427 4519 (Phone)
 
Education

Ph.D.                                 : Mar. 2000 – Jan. 2004
University                          : Queensland University of Technology, Brisbane, Australia
Major                                  : Electrical Engineering
Field                                    : Mobile Communications
Thesis                                : Mobile Velocity Estimation Using a Time-Frequency Approach.
 
M.S.c                               : Jan. 1990 – Nov. 1993
University                          : Isfahan University of Technology, Isfahan, Iran
Major                                  : Electrical Engineering
Field                                    : Telecommunication
Thesis                                : Isolated Words Recognition Using Time-Delay Neural Networks.
GPA                                     : 17.40 out of 20
 
B.S.c                                : Jan. 1984 – Sep. 1989
University                          : Shiraz University, Shiraz, Iran
Major                                  : Electrical Engineering
Field                                    : Electronic
Thesis                                : Design of an Automatic Telephone Exchange.
GPA                                     : 17.03 out of 20
 
 
 
 
Academic Experience

1.     Assistant Professor: Department of Electrical Engineering, Razi University, Kermanshah, Iran, October 2015 - present.
2.     Research Fellow, The University of Queensland, Centre for Clinical Research, School of Medicine, Brisbane, Australia, November 2010 - September 2015.
3.    Visiting Scholar: School of Electrical & Information Engineering, University of Sydney, Sydney, Australia, August 2009 - July 2010.
4.     Assistant Professor: Department of Electrical Engineering, Razi University, Kermanshah, Iran, August 2004 - August 2009.
5.     Postdoctoral Fellow: School of Electrical and Electronic Systems Engineering, Queensland University of Technology, Brisbane, Australia, January 2004 -  July 2004.
6.     Teaching Assistant: School of Electrical and Electronic Systems Engineering, Queensland University of Technology, Brisbane, Australia, 2000 - 2004.
7.     Associate Lecturer: Department of Electrical Engineering, Razi University, Kermanshah, Iran, 1993 - 2000.
8.     Teaching Assistant: Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran, 1991 - 1993.
 
 
Research Interests

Biomedical signal processing
Time-frequency signal processing and analysis
Mobile communications
Cognitive Radio
 
Research Training
  • Supervised and trained 4 PhD students at The University of Queensland working on biomedical signal processing projects
  • Supervised and trained 15 Masters Students in the area of EEG signal processing and signal processing for mobile communications  
 
Teaching Experience:

·         Postgraduate courses taught:
o   Stochastic Processes
o   Advanced Digital Signal Processing
o   Digital Image Processing
o   Advanced Communication Theory
·          Undergraduate courses taught:
o   Digital Signal Processing
o   Digital Communications
o   Signals and Systems
o   Engineering Mathematics
o   Circuits Theory
·         Labs demonstrated:
o   Logic Circuits
o   Electronics
 
Publications

Book Chapter:
1.       B. Senadji, G. Azemi, and B. Boashash, “Mobile Velocity Estimation for Wireless Communications”, Chapter 5 in Signal Processing for Mobile Communications Handbook, M. Ibnkahla, ediror., CRC Press, 2005.
 
Book Articles:  
              
1.       G. Azemi and B. Boashash, “Time-Frequency Features for Nonstationary Signal Classification with Illustration on Newborn EEG Burst-Suppression Detection”, in B. Boashash, ed. Time-Frequency Signal Analysis and Processing: A Comprehensive Reference, 2nd edition, Article 16.3, pp. 864-870.
2.       B. Boashash and G. Azemi, “A General Approach to Time-Frequency Matched Filtering”, in B. Boashash, ed. Time-Frequency Signal Analysis and Processing: A Comprehensive Reference, 2nd edition, Article 16.3, pp. 675-682.
 
Journal Papers:
    
1.      A. Md Abdul, M. M. Lai, G. Azemi, B. Boashash, and P. B. Colditz. "EEG background features that predict outcome in term neonates with Hypoxic Ischaemic Encephalopathy: a structured review." Clinical Neurophysiology 127.1 (2016): 285-296.
2.      B. Boashash and G. Azemi, and Nabeel Ali Khan, “Principles of time–frequency feature extraction for change detection in non-stationary signals: Applications to newborn EEG abnormality detection", Pattern Recognition, vol. 48, issue, 3, pp. 616-627, 2014.
3.       B. Boashash and G. Azemi, “A review of time–frequency matched filter design with application to seizure detection in multichannel newborn EEG”, Elsevier Digital Signal Processing: A Review Journal, vol. 28, pp. 28-38, May 2014.
4.       S. Dong, G. Azemi, and B. Boashash, “Improved characterization of HRV signals based on instantaneous frequency features estimated from quadratic time–frequency distributions with data-adapted kernels”, Elsevier Biomedical Signal Processing and Control, vol 10, pp. 153-165, March 2014.
5.        A. Omidvarnia, G. Azemi, B. Boashash. J. O'Toole. P. Colditz and S. Vanhatalo, "Measuring time-varying information flow for scalp EEG signals: Orthogonalized Partial Directed Coherence”, IEEE Transactions on Biomedical Engineering, vol. 61, no. 3, pp. 680-693, March 2014.
6.       S. Dong, B. Boashash, G. Azemi, B. Lingwood, and P. Colditz, "Automated detection of perinatal hypoxia using time-frequency based heart rate variability features", Elsevier Medical & Biological Engineering & Computing, vol 52, issue  2, pp. 183-191, February 2014.
7.       B. Boashash, G. Azemi and J.M. O' Toole, "Time-frequency processing of non-stationary signals to aid diagnosis: highlights from medical applications", Time-Frequency Processing of Nonstationary Signals: Advanced TFD Design to Aid Diagnosis with Highlights from Medical Applications”, IEEE Signal Processing Magazine, vol. 30, issue 6, pp. 108-119, November 2013.
8.       E. Zandi and G. Azemi, “Estimating the scattering distribution of the received signals in multipath fading channels”, accepted for publication in the Springer Telecommunication Systems, September 2013, doi: DOI 10.1007/s11235-013-9809-8.
9.       A. Omidvarnia, G. Azemi, J.M. O’ Toole and Boualem Boashash, “Robust estimation of highly-varying nonlinear instantaneous frequency of monocomponent signals using a lower order complex-time distribution”, Elsevier Signal Processing, vol. 93, no. 11, pp. 3251–3260, November 2013.
10.   A. Omidvarnia, G. Azemi, P. Colditz and B. Boashash, "A time-frequency based approach for generalized phase synchrony assessment in nonstationary multivariate signals", Elsevier Digital Signal Processing, vol. 23, no. 3, pp. 780-790, May 2013.
11.   B. Boashash, L. Boubchir and G. Azemi, “A methodology for time-frequency image processing applied to the classification of non-stationary multichannel signals using instantaneous frequency descriptors with application to newborn EEG signals”, EURASIP Journal on Advances in Signal Processing, special issue: Advances in Time Frequency and Array Processing of Non-stationary Signals, vol. 2012, no. 1, pp. 1-21, May 2012.
12.   A. Naeimi and G. Azemi, “K-factor estimation in shadowed Ricean mobile communication channels”, Wiley Wireless Communications and Mobile Computing 9, vol. 9, no. 10, pp. 1379-1386, October 2009.
13.   P. Zarjam, G. Azemi, M. Mesbah and B. Boashash. “Newborns’ EEG Seizure Detection using T-F Distance Measures”, GESTS International Transactions on Computer Science and Engineering, vol. 24, no.1, pp. 163-171, November 2005.
14.   G. Azemi, B. Senadji and B. Boashash, “Ricean K-factor estimation in mobile communication systems”, IEEE Communications Letters, vol. 8, no. 10, pp. 617-619, October 2004.
15.   G. Azemi, B. Senadji and B. Boashash, “Mobile unit velocity estimation in micro-cells based on the instantaneous frequency of the received signal”, IEEE Transactions on Vehicular Technology, vol. 53, no. 3, pp. 716-724, May 2004.
 
 
Recent Conference Papers:

1.       Awal, M. A., Paul B. Colditz, Boualem Boashash, and Ghasem Azemi. "Detection of neonatal EEG burst-suppression using a time-frequency approach." In Signal Processing and Communication Systems (ICSPCS), 2014 8th International Conference on, pp. 1-6, 2014.
2.       S. Dong, B. Boashash, G. Azemi, B. Lingwood, and P. Colditz, “Detection of perinatal hypoxia using time-frequency analysis of heart rate variability signals”, in the proc. of the 38th IEEE International Conference on in Acoustics, Speech, and Signal Processing (ICASSP’13), pp. 939 – 943, 2013.
3.       A. Omidvarnia, B. Boashash, G. Azemi, P. Colditz and S. Vanhatalo, “Generalised phase synchrony within multivariate signals: an emerging concept in time-frequency analysis”, in the proc. of the 37th IEEE International Conference on in Acoustics, Speech, and Signal Processing (ICASSP’12),  pp. 3417 – 3420, 2012.
5.       B. Boashash, L. Boubchir and G. Azemi, ”Improving the classification of newborn EEG time-frequency representations using a combined time-frequency signal and image approach”, in the proc. of the 11th International Conference on Information Sciences, Signal Processing and their Applications (ISSPA’2012), pp. 316-321, Quebec, Canada, 2012.
6.       A. Omidvarnia, S. Vanhatalo, M. Mesbah, G. Azemi, P. Colditz, and B. Boashash, "Generalized Mean Phase Coherence for Asynchrony Abnormality Detection in Multichannel Newborn EEG", in proc. of the 11th International Conference on Information Sciences, Signal Processing and their Applications (ISSPA’2012), pp. 274-279, Quebec, Canada, 2012.
7.       M. Odabaee, S. Layeghy, M. Mesbah, G. Azemi, B. Boashash,P. Colditz, and S.Vanhatalo, “ EEG amplitude and  correlation spatial   decay analysis for  neonatal   head modeling”, in proc. of the 11th International Conference on Information Sciences, Signal Processing and their Applications (ISSPA’2012), pp. 905-910, Quebec, Canada, 2012.
8.       S. Dong, G. Azemi, B. Lingwood, P. Colditz and B. Boashash, “Performance evaluation of multi-component instantaneous  frequency estimation techniques for  heart rate variability analysis”, in proc. of the 11th International Conference on Information Sciences, Signal Processing and their Applications (ISSPA’2012), pp. 1244-1249, Quebec, Canada, 2012.
9.       B. Boashash, L. Boubchir and G. Azemi, “Time-frequency signal and image processing of non-stationary signals with application to the classification of newborn EEG abnormalities”, in the proc. of the 11th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT’11), pp. 120-129, 2011.
 

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