S. Morteza Najibi

Thursday, 02 November 2017 02:20

R workshop in Monte Carlo Simulation

A two-day workshop on Monte Carlo Simulation ith R will be held on November 22 - 23, 2017 (Azar 1-2, 1396) by Dr. Mahdi Salehi, Resident Member of SDAT, in Fersousi University of Mashhad. Mahdi is assitant professor of Statistics in University of Neyshabur. For more information, please take contact us through 051-38806206. 


"Modern Methods in Insurance Pricing and Industrial Statistics" conference will be Held in 3-5 September, 2017, Bu Ali Sina University, Hamedan, Iran. The purpose of the conference is to bring together young and senior academics and people working in insurance and other areas of industrial applications of statistics, and to strengthen the links between the respective communities in Iran and abroad. 

For more information please visit Persian local website address: 

Or English Arhus University website address: 

 Emai: This email address is being protected from spambots. You need JavaScript enabled to view it. 

Important Dates

  • Deadline for abstract submission: June 22, 2017
  • Notification of acceptance of abstracts: July 6, 2017
  • Deadline for early registration and payment: July 22, 2017

Invited speakers

  • Hansjörg Albrecher, University of Lausanne, Switzerland
  • Søren Asmussen, Aarhus University, Denmark
  • Alireza Edalati, Actuary at VHV Insurance AG, Germany
  • Amin Hassanzadeh, Shahid Beheshti University, Iran
  • David Rios Insua, Rey Juan Carlos University, Spain
  • Gholamreza Nakhaeizadeh, Karlsruhe Institute of Technology, Germany
  • Jens Perch Nielsen, CASS Business School, United Kingdom
  • Amir Safari, Insurance Research Center, Iran
  • Ali Shojaie, University of Washington

Short Courses

  • "Introduction to Machine Learning with Industrial Applications" by Ali Shojaie. Date: 2nd September, 2017.
  • "Insurance Ratemarking with GLM using SAS" by Alireza Edalati, Actuary at VHV Insurance AG, Germany. Date: 2nd September, 2017
  • "Risk Management with Big Data and Applications in Industry" by David Rios Insua, Spain. Date: 4th September, 2017

For the short courses there will be a fee, which is kept as low as possible just to cover the expenses.

Thursday, 04 May 2017 16:18

KDD bigdas 2017

The first workshop on Big data analytics-as-a-Service: Architecture, Algorithms, and Applications in Health Informatics is taking place on August 14, 2017 (in conjunction with KDD 2017) in Halifax, Nova Scotia, Canada. The workshop will consist of a combination of invited keynote speakers, panel discussion, and paper/poster presentations. We allocate significant time for open discussions on sharing best practices and future directions. 

Workshop homepage: 

Call for Papers

This is a new and emerging area for the KDD community and we hope this workshop will bring together researchers and interested audiences to explore the open problems, applications, and future directions in Big data analytics-as- a-Service: Architecture, Algorithms, and Applications in Health Informatics. We invite submission of papers explaining innovative research studies on all aspects of big data analytics and its application in health informatics. Work-in-progress papers, demos, experimental studies, open-source developments, and visionary papers are also welcome. Suggested topics include (but are not limited to) the following with the focus of health informatics application area:

    • Big data machine learning algorithms
        Big data semi-supervised learning, active learning, inductive inference, organizational learning, evolutional learning, transfer learning, manifold learning, probabilistic and relational learning
        Big data deep learning
        Big data decision support systems
        Big data scientific visualization
        Big temporal data mining
        Big data time series and sequential pattern mining
        Big data clinical/biomedical text analytics
        Automatic semantic annotation of medical content
        Large-scale classification, clustering, and interpretation of biomedical images and videos
        Genetic data analytics, mining big gene databases and biological databases
    • Gold Standards
        Feature engineering considerations and selection
        Algorithm considerations and selection
        Analysis selection criteria
    • Systems Architecture
        Infrastructures for big data analytics
        Scalable and high throughput systems for large-scale data analytics
        Performance evaluation or comparative study of big data analytics tools, such as DataMelt, RapidMiner, Orange, Rattle, Apache Spark MLlib, Apache Mahout, etc.
        Performance evaluation or comparative study of Machine Learning as a Service platforms, such as BigML, Microsoft Azure, Amazon Machine Learning, Google Cloud Prediction API, IBM Watson Analytics, etc.
        Integration PaaS (iPaaS) supporting Big Data applications and services
        Application of cloud computing to big data analytics
    • Big data analytics-as-a-Service
        Big data machine learning-as-a-Service
        Turning big data health informatics into WWW services
        Big data deep learning-as-a-Service
        Big data infrastructure-as-a-Service

Important Dates:

Paper submissions: May 21, 2017 (11:59 PM Pacific Standard Time)
Supplemental material submissions (Optional): May 27, 2017 (11:59 PM Pacific Standard Time)
Paper notifications: June 21, 2017
Final submissions: July, 10, 2017
Workshop date: August 14, 2017 (Morning 8:00 am to 12:00)


R: Data Management Calculations and Statistical Analysis Book has been published by Dr. Javad Fardmal, associate professor of biostatistics at Hamedan university of Biomedical Sciences and Dr. Rahim Mahmoudvand, assistant professor of statisitcs at Hamedan University. This book is in Persian and contains various topics in scientific data analysis with R. The table of content is available form here and you can buy the book from here

Wednesday, 30 November 2016 15:32

Movement 2 of StatCog Workshop

The first week of the second Movement of advanced statistical method in Cognitive Science workshop series held at Shahid Behehshti University on  22-23 November 2016. 

The 17th Applied Stochastic Process workshop was held at the Esfahan University of Technology on 1-3 Nov 2016. Dr. Farzaneh Safavimanesh, the head of the SDAT Research Department, gave a talk at the seminar. Invited lecturers of this workshop were as follows.

  • Professor John Nolan- American University
  • Professor Rahoul ROy- Indian Statististical Institute 
  • Professor Bizhan Zohori Zangene- Sharif University of Technology
  • Professor Ahmad Reza Soltani- Shiraz University
  • Dr. Miromid Haji Mirsadeghi -  Sharif University of Technology
  • Dr. Kasra Alishahi- Sharif University of Technology
  • Dr. Farzaneh Safavimanesh- Shahid Beheshti University  (SDAT memeber)

For more information please see 


Thursday, 10 November 2016 19:21

Movement 1 of StatCog Workshop

The first Movement of advanced statistical method in Cognitive Science workshop series held at Shahid Behehshti University on 26-27 October and 9-10 November 2016. 

The first series of the workshops on Advanced Statistical Methods in Cognitive Sciences (StatCog) will be held in three parts on November, December 2016 and January 2017 at the Institute for Cognitive and Brain Sciences

For more information and registration refer to work shop website




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About Us

SDAT is an abbreviation for Scientific Data Analysis Team. It consists of groups who are specialists in various fields of data sciences including Statistical Analytics, Business Analytics, Big Data Analytics and Health Analytics. 

Get In Touch

Address:  No.15 13th West Street, North Sarrafan, Apt. No. 1 Saadat Abad- Tehran

 Phone: +98-910-199-2800


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