Pattern Recognition and Machine Learning
Supervisor: Prof. Hadi Sadooghi Yazdi
Education:
PhD in Electrical Engineering
Contact: Faculty of Engineering, Ferdowsi University of Mashhad, Iran
Email: h-sadoghi
{AT} um.ac.ir
Phone:
+98 (51) 3880-5117
Personal Website
Research Interest: Machine Learning, Pattern Recognition, Signal processing
A gift sentence from professor to all students: “Opportunities don't happen, you create them.”
Selected Research
Projects: Smart mirror, Digital information panel, Heat maps:
Density estimation, Smart camera on automobiles, Smart system for detecting the
abnormal behavior of bus drivers, Emotion detection system
Selected Journals
Papers:
1- R. Izanloo, S. A. Fakoorian, H. S. Yazdi and D. Simon,
"Kalman filtering based on the maximum correntropy criterion in the presence of
non-Gaussian noise," 2016 Annual Conference on Information Science and
Systems (CISS), pp. 500-505, 2016.
2- J. A. Nasiri, M. Naghibzadeh, H. S. Yazdi and B. Naghibzadeh, "ECG Arrhythmia Classification with Support Vector Machines and Genetic Algorithm," 2009 Third UKSim European Symposium on Computer Modeling and Simulation, pp. 187-192, 2009.
3- H. Foroughi, A. Naseri, A. Saberi and H. Sadoghi Yazdi, "An eigenspace-based approach for human fall detection using Integrated Time Motion Image and Neural Network," 2008 9th International Conference on Signal Processing, 2008.
4- J. Hamidzadeh, R. Monsefi, H. Sadoghi Yazdi, "IRAHC: Instance Reduction Algorithm using Hyperrectangle Clustering," Pattern Recognition,Vol. 48, No. 5, pp. 1878-1889, 2015.
4- A. Ghazikhani, R. Monsefi, H. Sadoghi Yazdi, "Ensemble
of online neural networks for non-stationary and imbalanced data streams,"
Neurocomputing,
vol. 122, pp. 535-544, 2013.
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