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دکتر پیوند قادریان
مرتبه علمی :دانشیار
تخصص : Ph.D. in Biomedical Engineering
زمینه های تحقیقاتی : Biomedical signal processing, neuroscience ,Cognitive science
مراکز تحقیقاتی :Computational Neuroscience Laboratory

پست الکترونیکی: , peyvand.ghaderyan@gmail.com , p_ghaderyan@sut.ac.ir
شماره تلفن: 984133458421
شماره فکس: 984133444360
رزومه:
Curriculum Vitae 
 
 1.      Faculty Profile

Peyvand Ghaderyan, Ph.D.
Associate Prof. of  Biomedical Engineering, Head of Bioelectric Department
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 18’nd in Nation-wide University Entrance Examination for Ph.D., 2013.
  • ·         Membrane of Brilliant Talented Students office of Sahand University of Technology from 2013~2017.
  • ·         Ranking first in Biomedical Eng., (M.Sc. Sahand University of Technology, 2012).
  • ·         Membrane of Brilliant Talented Students office of Sahand University of Technology in 2012.
  •           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)
  • Amyotrophic Lateral Sclerosis, Huntington’s and Parkinson’s diseases detection using inter-limb deviations of gait signals(2017-2019)
  • The analysis of the relationships between brain areas during a time perception task for the diagnosis of Attention Deficit Hyperactivity Disorder(2019-2021)
  • Time-Frequency gait analysis for the detection of neurodegenerative diseases(2019-present)
  • Parkinson's disease detection using gait pattern recognition and decomposition of vertical ground reaction force signals (2019-2021)

5.     M.Sc. students  

  • Seyede Marziyeh Ghoreshi Beyrami (graduated)
  • Elham Dehghanpur Deharab (graduated)
  • Masume Saljuqi(graduated)
  • Gisoo Fathi(graduated)
  • Farima Moghaddam(graduated)
  • Farzaneh Manzari(graduated)
  • Shima Mohammadi
  • Yasamin Ezazi
  • Rezvan Mirzaeiyan
  • zahra atrachali
  • Matineh Rahimi Pirkalachahi
6.       Ph.D. students
  • Aslan Modir

7.      Publications

  • Ghaderyan, P. and E. Dehghanpur, An efficient method for Parkinson’s disease detection using handwriting features. Iranian Journal of Biomedical Engineering, (2022) (In Persian).
  • Dehghanpur Deharab, E. and P. Ghaderyan, Graphical representation and variability quantification of handwriting signals: New tools for Parkinson’s disease detection. Biocybernetics and Biomedical Engineering, (2022). 42(1): p. 158-172.
  • M. Saljuqi, P. Ghaderyan, A novel method based on matching pursuit decomposition of gait signals for Parkinson’s disease, Amyotrophic lateral sclerosis and Huntington’s disease detection, Neuroscience letters, (2021) 136107.
  • P. Ghaderyan, G. Fathi, Algebraic Analysis of Vertical Ground Reaction Force Signal for diagnosis and Differentiation of Parkinson's Disease Severity, Iranian Journal of Biomedical Engineering, (2021)( In Persian).
  • M. Saljuqi, P. Ghaderyan, Detection of Neurodegenerative Diseases Using Time-frequency Symmetric Features of Gait Signal, Iranian Journal of Biomedical Engineering, 15 (2021) 41-50( In Persian).
  • P. Ghaderyan, G. Fathi, Inter-limb time-varying singular value: a new gait feature for Parkinson’s disease detection and stage classification, Measurement, (2021) 109249.
  • P. Ghaderyan, A. Abbasi, Sparse coding classification and cepstral singular value for cognitive workload estimation, Computers & Electrical Engineering, 91 (2021) 107031.
  • E.D. Deharab, P. Ghaderyan, Parkinson's Disease Detection Using Dynamic Writing Traces Warping,  2020 28th Iranian Conference on Electrical Engineering (ICEE), IEEE, 2020, pp. 1-4
  • P. Ghaderyan, S.M. Ghoreshi Beyrami, Neurodegenerative diseases detection using distance metrics and sparse coding: A new perspective on gait symmetric features, Computers in Biology and Medicine, 120 (2020) 103736.
  • S.M.G. Beyrami, P. Ghaderyan, A robust, cost-effective and non-invasive computer-aided method for diagnosis three types of neurodegenerative diseases with gait signal analysis, Measurement, 156 (2020) 107579.
  •  S.M.G. Beyrami, P. Ghaderyan, Neurodegenerative diseases detection using linear features of the gait signals (In Persian),Second international conference on innovation in computer science and electrical engineering, Tehran, Iran, March 2018, (In Persian)
  • 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.
 
8.      Academic Teaching Experience
 
 
·         Sahand University of Technology, undergraduate courses, all semesters, 2013 to present.
  •   Brain physiology and cognitive processing
  •   Nonlinear signal processing methods
  •   Electrophysiology
  •   Medical Instrumentation
  •   Radiology and Radiotherapy Systems
  •   Electronic Measurements
  •   Bioelectric Phenomena
  •   Anatomy
  •   Physiology
  •   Electronic lab
8.      Research interests:
·         Biomedical signal processing
·         Cognitive science
·         Neuroscience
·         Bioinformatics
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9.      Languages
·         Persian-native language
·         Kurdish-native language
·         Turkish-native language
·         English-speak fluently and read/write with basic competence
 
       
 
صفحه اصلی | وب سایت دانشگاه صنعتی سهند | تماس با ما
دانشگاه صنعتی سهند ، دانشکده مهندسی پزشکی - صندوق پستی: 1996-51335 | تلفن: 33458453-041 | فکس: 33444360-041 | ایمیل: info.bme@sut.ac.ir