About Conference

Data science is rapidly growing field and as a profession incorporates a wide variety of areas from statistics, mathematics and machine learning to applied big data analytics. This is not limited to computer science, but also physics, astronomy, medicine, labor market analysis, marketing and many more. For instance, the Large Synoptic Survey Telescope (LSST) is planned to deliver 100 Petabytes of data in the next decade. This demands awareness of emerging technologies and calls for technologies and services of tomorrow, specially big data and data science expertise. According to the Forbes, “Data Science” is listed as LinkedIn’s fastest growing job in 2017. The need to have professional data scientists is not limited to just education, but also proper development and preparation of environments and tools to brainstorm on recent research and scientific achievements of the area.

Such a scientific need for having an event that scientists can share their first class data science achievements was known for us since years ago and we tried in this regard to put special interest and focus on data science in our past executions of CICIS conference. This year, in its 5th run, we decided to dedicate the conference to data science area and accordingly decided to even keep it as professional data science event in the future. Therefore, the 5th international conference on Contemporary issues in Data Science (CiDaS) will provide a sort of a real workshop (not listen-shop) to scientists and scholars to share ideas, initiative future collaborations and brainstorm challenges as well as industries to catch emerging solutions from the science to their real data science problems. In this regard, we believe that we will be able to support all scientists and involve them in this move towards the successful future and welcome your support.

Sincerely Yours,
CiDaS Steering Committee

Invited speakers

Prof. Sören Auer

Leibniz University of Hannover, TIB Leibniz Information Centre for Science and Technology

Germany

Prof. Reinhard Rapp

Magdeburg-Stendal University of Applied Sciences and University of Mainz

Germany

Dr. Mohammad Shokoohi Yekta

Data Scientist, Apple Inc.

United States

Prof. Roman Obermaisser

Director on Embedded Systems Institute, University of Siegen.

Germany

Dr. Petra Claudia Steiner

Friedrich Schiller University Jena, Institute of German Linguistics

Germany






Conference Program


5 Mar, 2019

9 : 00 - 12 : 30

Tutorial Session 1 & 2

coffee break at
10 : 30 - 11 : 00

12 : 30 - 13 : 30

Lunch Break

13 : 30 - 17 : 00

Tutorial Session 3 & 4

coffee break at
15 : 00 - 15 : 30

17 : 30 - 19 : 00

Tutorial Session 5

6 Mar, 2019

9 : 00 - 12 : 30

Tutorial Session 1 & 2

coffee break at
10 : 30 - 11 : 00

12 : 30 - 13 : 30

Lunch Break

13 : 30 - 17 : 30

Tutorial Session 3 & 4

coffee break at
15 : 00 - 15 : 30

17 : 30 - 19 : 00

Tutorial Session 5

7 Mar, 2019

8 : 00 - 8 : 30

Registration

8 : 30 - 9 : 30

Opening Ceremony

9 : 30 - 10 : 30

Keynote Speech

Keynote Speaker :
Prof. Sören Auer
Title :
Towards Hybrid AI - Semantic Data Integration using Linked Data, Knowledge Graphs and Semantic Data Lakes

10 : 30 - 11 : 00

Coffee Break

11 : 00 - 12 : 00

Parallel Sessions

12 : 00 - 13 : 30

Lunch Break

13 : 30 - 14 : 30

Keynote Speech

Keynote Speaker :
Prof. Reinhard Rapp
Title :
Are Human Language Intuitions Based on the Statistics of Perceived Text and Speech?

14 : 30 - 15 : 30

Parallel Sessions

15 : 30 - 17 : 00

Poster session & coffee break

8 Mar, 2019

9 : 00 - 10 : 00

Keynote Speech

Keynote Speaker :
Dr. Mohammad Shokoohi Yekta
Title :
Prospecting for Gold in the Mines of Big Data @ the Heart of Silicon Valley

10 : 00 - 10 : 30

Parallel Sessions

10 : 30 - 11 : 00

Coffee Break

11 : 00 - 12 : 00

Parallel Sessions

12 : 00 - 13 : 30

Lunch Break

13 : 30 - 14 : 30

Keynote Speech

Keynote Speaker :
Prof. Roman Obermaisser
Title :
Global Adaptation in Time-Triggered Systems for Improved Energy Efficiency and Dependability

14 : 30 - 15 : 30

Parallel Sessions

15 : 30 - 16 : 00

Coffee Break

16 : 00 - 17 : 00

Closing Ceremony

Tutorial Session



By attending to the tutorial sessions, you will learn how to create a simple neural network, convolutional neural network, RNN and GAN with the PyTorch or Keras deep learning library.

The language of these sessions is Persian

Committees

General Co-Chairs

  • Bahram Sadeghi Bigham, Institute of Advanced Studies in Basic Sciences, Iran
  • Mahdi Bohlouli, Institute of Advanced Studies in Basic Sciences, Iran

Local Chairs

  • Zahra Narimani, Institute of Advanced Studies in Basic Sciences, Iran
  • Mahdi Vasighi, Institute of Advanced Studies in Basic Sciences, Iran

Steering Committee

  • Ebrahim Ansari, Institute of Advanced Studies in Basic Sciences, Iran
  • Mahdi Bohlouli, Institute of Advanced Studies in Basic Sciences, Iran
  • Zahra Narimani, Institute of Advanced Studies in Basic Sciences, Iran
  • Bahram Sadeghi Bigham, Institute of Advanced Studies in Basic Sciences, Iran
  • Mahdi Vasighi, Institute of Advanced Studies in Basic Sciences, Iran

Tutorial's Chair

  • Parvin Razzaghi, Institute of Advanced Studies in Basic Sciences, Iran

Scientific Committee

  • Hassan Abolhassani, Software engineer at Google, USA
  • Mohsen Afsharchi, University of Zanjan, Iran
  • Sadegh Aliakbary, Shahid Beheshti University, Iran
  • Ali Amiri, University of Zanjan, Iran
  • Morteza AnaLoui, Iran University of Science and Technology, Iran
  • Amin Anjomshoa, Massachusetts Institute of Technology, USA
  • Lefteris Angelis, Aristotle University of Thessaloniki, Greece
  • Nikos Askitas, Research Data Center, Institute of Labour Economics, Germany
  • Zeinab Bahmani, Uni-Select Inc, Canada
  • Davide Ballabio, University of Milano-Bicocca, Italy
  • Markus Bick, ESCP Europe Business School, Germany
  • Elnaz Bigdeli, University of Ottawa, Canada
  • Mansoor Davoodi Monfared, Institute of Advanced Studies in Basic Sciences, Iran
  • Mohammad Reza Faraji, Institute of Advanced Studies in Basic Sciences, Iran
  • Agata Filipowska, Poznan University of Economics and Business, Poland
  • Holger Fröhlich, University of Bonn, Germany
  • George Kakarontzas, Technical Educational Institute of Thessaly, Greece
  • Alireza Khastan, Institute of Advanced Studies in Basic Sciences, Iran
  • Antonio Liotta, University of Derby, UK
  • Rahim Mahmoudvand, Bu-Ali Sina University, Iran
  • Samaneh Mazaheri, University of Ontario Institute of Technology, Canada
  • Federico Marini, University of Rome "La Sapienza", Italy
  • Maryam Mehri Dehnavi, University of Toronto, Canada
  • Nima Mirbakhsh, Arcane Inc, Canada
  • Ali Movaghar, Sharif University of Technology, Iran
  • Ehsan Nedaaee Oskoee, Institute of Advanced Studies in Basic Sciences, Iran
  • Peyman Pahlevani, Institute of Advanced Studies in Basic Sciences, Iran
  • Paurush Praveen, Machine Learning Research, CluePoints, Belgium
  • Edy Portmann, University of Fribourg, Switzerland
  • Masoud Rahgozar, University of Tehran, Iran
  • Shahram Rahimi, Southern Illinois University, USA
  • Reinhard Rapp, Hochschule Magdeburg, Germany
  • Mohammad Saraee, University of Salford-Manchester, UK
  • Frank Schulz, SAP AG, Germany
  • Mehdi Sheikhalishahi, Innotec21 GmbH, Germany
  • Ioannis Stamelos, Aristotle University of Thessaloniki, Greece
  • Athena Vakali, Aristotle University of Thessaloniki, Greece

Sponsors



Contact Details

Contact Person

Dr. Zahra Narimani

Phone

+98 24 3315 3374

Fax

+98 24 3315 3441



Postal Address

CiDas Organizing Committee, Institute for Advanced Studies in Basic Sciences (IASBS), No. 444, Prof. Yousef Sobouti Blvd, Zanjan, Iran