DR SAEID REZAKHAH VARNOUSEFADERNAI
Professor
Department of Mathematics and Computer Science
(Emeritus)
Department of Mathematics and Computer Science
(Emeritus)
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Email:
rezakhah
aut.ac.ir
aut.ac.irPhone:
+98-21-64542504
h-index (Scopus):
9.00
Citations (Scopus):
285
Educational Records
#
Degree/Major
University
City
Country
Graduation Date
1
B. Sc. in Mathematical Statistics
Ferdowsi University of Mashhad
Mashhad
Iran
1985
2
M. Sc. in Mathematical Statistics
Shiraz University
Shiraz
Iran
1988
3
Ph.D. In Statistics and Probability
Queen Mary University of London
London
UK, England
1996
Professional Skills
#
Title
Date of activity
1
Writing Softwares: Word and Latex
1996
2
Statistical Softwares: SPSS, SPLUS and R
1996
3
Data Processing Software: Python
2011
4
Mathematical Softwares: Matlab and Maple
1997
Research Interests
#
Title
Start date
1
Probability, Time Series- Stochastic Processes
1996
2
Information Theory- Distribution Fittings
2001
3
Statistical Bioinformatics
2006
4
Data Mining, Neural Networks
2009
5
Statistical Machine Learning- Deep Learning
2015
Books
#
Title
Author(s)
Publisher country
publication date
version
1
Statistics and Applied Probability
Dr. Saeid Rezakhah Varnousfaderani
Islamic Republic of Iran-Amirkabir University of Technology
2012
3
Professional Memberships
#
Professional memberships
Explanations
1
Iranian Statistical Institute
1996
2
International Institute of Mathematical Statistics (IMS)
2006
Scientific Reports
#
Report title
Subject
Author
Co-Authors
Date
Organization
1
Stable Harmonizable Processes and their applications
Research Project
Saeid Rezakhah
20 June 2003
Research Office Amirkabir University of Technology
2
cyclostaionary stable processes and their applications
Research Project
Saeid Rezakhah
25 June 2006
Research Office Amirkabir University of Technology
3
Modelling and Prediction of CARMA Processes with underlying Semi Levy Processes
Research Project
Saeid Rezakhah
Navideh Modarresi
1st February 2007
Iranian National Science Foundation(INSF)
Taught Courses
#
Course title
Description
Headlines
Date
1
Advanced Computational Statistics
4041
2
Seminar
4041
3
Advanced Probability (I)
4031
4
Time Series (I)
4031
5
Advanced Data Mining
4022
6
(Measure Theory and Probability (II
4022
7
Deep Learning
4022
8
Measure Theory and Probability 1
4021
9
Advanced Computational Statistics
4021
10
Statistical Bioinformatics
4021