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دکتر پیوند قادریان
مرتبه علمی :استادیار
تخصص :
زمینه های تحقیقاتی : Biomedical signal processing ,Neuroscience ,Cognitive science
مراکز تحقیقاتی :Computational Neuroscience Laboratory

پست الکترونیکی: p_ghaderyan@sut.ac.ir
شماره تلفن: 984133458421
شماره فکس: 984133444360
رزومه:
Curriculum Vitae 
 
 1.      Faculty Profile
Peyvand Ghaderyan, Ph.D.
Assistant Prof. Biomedical Engineering
Faculty of Biomedical Engineering, Sahand University of Technology, Sahand New Town, Tabriz, Iran.
E-mail: p_ghaderyan @ sut.ac.ir OR peyvand.ghaderyan @ gmail.com OR ghaderyan.sahand@gmail.com
Phone: (+98 4133458421)
Fax: (+98 4133444360)
 
 
 
2.      Education
·         Ph.D., Biomedical Eng., Sahand University of Technology, Tabriz, Iran                              2013-2017
           Avg. course grades: 19.94 (out of 20)
           Thesis Title:” Intelligent cognitive workload estimation based on the psychophysiological signal classification and personality traits”
·         M.Sc., Biomedical Eng., Sahand University of Technology, Tabriz, Iran                             2011-2013
          Avg. course grades: 19.30 (out of 20)
          Thesis Title:” Seizure Prediction using EEG Signal Processing and SVM Algorithm”
·         B.Sc., Biomedical Eng., Sahand University of Technology, Tabriz, Iran                               2007-2010
           Avg. course grades: 16.73 (out of 20)
 
3.      Honors and Awards
 
·         Ranking first in biomedical Eng., (M.Sc. Sahand University of Technology)
·         Ranking 18’nd in Nation-wide University Entrance Examination for Ph.D., 2013.
          Top 1%among 3000 contestant in Mathematical Olympiad

 
4.      Research Experiences and Projects
 
·         Member of Computational Neuroscience Laboratory (CNLab) of  Sahand University of Technology, Tabriz, Iran, since 2011.
·         Epileptic seizure detection and prediction based on the EEG signals (2011-2014)
          Early detection and classification of Alzheimer's disease by handwriting data(2013-present)
·         Clinical detection of hypopnea and all types of sleep apnea by signal processing methods(2013-2014)
·         Intelligent cognitive workload estimation based on the psychophysiological signal classification and personality traits(2013-present)
 
 
5.      Publications
           P. Ghaderyan, A. Abbasi, and S. Saber, "A new algorithm for kinematic analysis of handwriting data; towards a reliable handwriting-based tool for early detection of alzheimer's disease," Expert                   Systems with Applications, vol. 114, pp. 428-440, 2018.
          P. Ghaderyan, A. Abbasi, and A. Ebrahimi, "Time-varying singular value decomposition analysis of electrodermal activity: A novel method of cognitive load estimation," Measurement, vol. 126, pp.                102-109, 2018. 
·         P. Ghaderyan, A. Abbasi, “A novel cepstral-based technique for automatic cognitive load estimation, ” Biomedical Signal Processing and Control, vol. 39, pp. 396-404, 2018.
·         P. Ghaderyan and A. Abbasi, “Dynamic Hilbert warping, a new measure of RR-interval signals evaluated in the cognitive load estimation,” Medical Engineering & Physics, vol. 40, pp. 103-109,                      2017.
·         P. Ghaderyan and A. Abbasi, "An efficient automatic workload estimation method based on electrodermal activity using pattern classifier combinations," International Journal of Psychophysiology,                 vol. 110, pp. 91-101, 2016.
·         M. Shoa Kazemi, A. Abbasi, P. Ghaderyan “Functional and accurate diagnosis of sleep apnea and hypopnea diseases by abdominal respiratory effort signal,” 2nd international conference on                         Pattern Recognition and Image Analysis (IPRIA2015), Rasht, Iran, 11-12 Mar. 2015 (In Persian).
·         M. Shoa Kazemi, A. Abbasi, P. Ghaderyan, “Analysis of abdominal respiratory effort signal for intelligent and clinical detection of sleep apnea and hypopnea Diseases,” 23th Iranian Conference on               Electrical Engineering, Tehran, Iran, 10- 14 May, 2015 (In Persian).
·         P. Ghaderyan, A.Abbasi, MH. Sedaaghi. "An efficient seizure prediction method using  KNN-based undersampling and linear frequency measures". Journal of neuroscience methods, 2014; 232:                134-42
·         P. Ghaderyan, A. Abbasi, M.H. Sedaaghi, “Providing a feasible seizure prediction algorithm for implantable devices,” 5th International Conference of Cognitive Science (ICCS 2013), Tehran, Iran,                 pp. 20, 7-9May. 2013.
·         P. Ghaderyan, A. Abbasi, M.H. Sedaaghi, “Linear features, principal component analysis, and support vector machine for epileptic seizure prediction progress,” 21st Iranian Conference on                            Electrical Engineering (ICEE 2013) Mashhad, Iran, 14-16May. 2013.
 
6.      Academic Teaching Experience
 
 
·         Sahand University of Technology, undergraduate courses, all semesters, 2013 to present.
  •   Medical Instrumentation
  •   Radiology and Radiotherapy Systems
  •   Electronic Measurements
  •   Bioelectric Phenomena
  •   Anatomy
  •   Physiology
  •   Electronic lab
  •  
7.      Research interests:
·         Biomedical signal processing
·         Cognitive science
·         Neuroscience
·         Bioinformatics
·         Brain computer interface (BCI)
·         Machine learning
 
8.      Languages
·         Persian-native language
·         Kurdish-native language
·         Turkish-native language
·         English-speak fluently and read/write with basic competence
 
       
 
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