Saeed VARASTEH YAZDI Personal Resume

Saeed Varasteh Yazdi

I am a postdoctoral researcher at Universite Grenoble Alpes. I am a member of AMA (APTIKAL) team, LIG laboratory. I have defended my thesis under Prof. Ahlame Douzal supervision. It was mainly about classification and clustering of temporal data. I am interested in machine learning and deep learning tasks (Data Science in general). I also love programming and I have more than 8 years experience in web development and teaching.
I am currently working on deep learning models for time series forecasting, classification and causal reasoning. The research is supported by the French National Research Agency through the ANR-LOCUST and ANR-APi projects, under the supervision of Prof. Ahlame Douzal.

Resume

Work Experience

2016 - Present

Research Scientist (Data Scientist)

Jan 2016 - Present

@ AMA | LIG (Laboratoire d'informatique de Grenoble)

Researche scientist at AMA (machine learning group) in LIG laboratory, Grenoble, France. Working on time series data representation, clustering, classification and causal reasoning.

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2012 - Present

Teaching experiences

From Jan 2017 to Present

Undergradute teaching @ Universite Grenoble Alpes

Developpement Objet (ASP.Net web programming)

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From 2012 to April 2015

Undergradute teaching @ Sadjad University

Object Oriented programming(C++), C# Programming, Machine Learning, Internet Engineering, Web Developing, Relational Database Management Systems (RDBS), AI Laboratory

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2007 - 2015

Web and software developer

2007 - July 2015

Developer @ PooyanHost

I start working as an Asp.net(C#) developer at PooyanHost. Alongside the studies during Bachelor, me and my friend Babak started to work as a team. We were working on creating small and big software frameworks like website portals, office automation software, CRM, etc. Our corporation has finished after I started my master degree in France. During these years I have also started to teach website development under the name webit school.

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Education

2019 - Present

Postdoctoral Researcher

Supervisors: Ahlame DOUZAL

Deep learning for time series analysis

Laboratoire d'Informatique de Grenoble (LIG), Université Grenoble Alpes, Grenoble, France

2016 - 2019

Phd in Computer Science (Machine Learning)

Supervisors: Ahlame DOUZAL

Representation learning for time series data analysis

Laboratoire d'Informatique de Grenoble (LIG), Université Grenoble Alpes, Grenoble, France

2009 - 2012

Master 1 and 2 in Artificial Intelligence

Supervisor: Mohammad Mehdi HOMAYOUNPOUR

Extractive Persian Multi-Document Summarization

Polytechnic (Amirkabir University of Technology), Tehran, Iran

2004 - 2008

Bachelor in Computer Science (Software Engineering)

Supervisor: Javad HAMIDZADEH

BOARD GAMEs" (Luma , Snakes & Ladders , 9 Men's Morris AI), Network Compatible

Engineering School (Sadjad Institute of higher education), Mashhad, Iran.

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Honors

Top Student

RANK 1 Student during Bachelor studies among 57 students in Sadjad University.

Teaching honors

Standing between top professors during three years of teaching in Sadjad University.

Top Student

RANK 1 Student during Master 1 and 2 studies among 23 students in Polytech University.

Erasmus Mundus Scholar

Accepted by VIBOT(Vision and Robotics) Erasmus Mundus joint master program.

Summer School

Accepted by Advanced Statistics and Data Mining Summer School in Madrid.

PhD SCHOLAR

Full funded PhD scholarship by Joseph Fourier University (UJF), Grenoble, France.

Skills

Academic programming: Python | R | PyTorch

Academic programming: MATLAB

Academic softwares: Latex | Microsoft Office | NVIVO

Programming: C++ | C# | Pascal | Delphi | SQL

Web development: HTML | CSS | Javascript | ASP.NET webform

Web technologies: Entity framework | LINQ | MVC | ASP.NET Web api | Angular JS

Publications

Conferences and Journals [Google Scholar]

2020

Artificial Intelligence Journal

Thi Phuong Thao Tran, Ahlame Douzal-Chouakria, Saeed Varasteh Yazdi, Paul Honeine, PatrickGallinari

Interpretable time series kernel analytics by pre-image estimation

2018

ECML 2018

Saeed Varasteh Yazdi, Ahlame Douzal-Chouakria, Patrick Gallinari, Manuel Moussallam

Time warp invariant dictionary learning for time series clustering: application to music data stream analysis

2018

Pattern Recognition Letters Journal

Saeed Varasteh Yazdi, Ahlame Douzal-Chouakria

Time warp invariant kSVD: Sparse coding and dictionary learning for time series under time warp

2018

Knowledge and Information Systems Journal

Jidong Yuan, Ahlame Douzal-Chouakria, Saeed Varasteh Yazdi, Zhihai Wang

A large margin time series nearest neighbour classification under locally weighted time warps

2017

Information Sciences Journal

Do, C. T., Douzal-Chouakria, A., Marié, S., Rombaut, M., & Varasteh, S.

Multi-modal and multi-scale temporal metric learning for a robust time series nearest neighbors classification

2011

IALP International Conference

Poormasoomi, A., Kahani, M., Yazdi, S. V., & Kamyar, H.

Context-based persian multi-document summarization (global view)

ASDM - July 2016

Advaned Statistics and Data Mining summer school, Madrid, Spain

AMA TEAM 2016

Saint Martin d'heres, France.

LIG DAY - Juin 2017

L'Escandille, France

AMA TEAM - March 2019

LIG, Grenoble, France