International conference
of Women

in Data science

at

Taif University

2021

Taif University is excited to collaborate with Stanford University to bring the Women in Data Science (WiDS) conference to TU, Saudi Arabia.

Virtual conference

On March 30-31, 2021
About

WiDS Taif conference

Taif University is excited to collaborate with Stanford University to bring the Women in Data Science (WiDS) conference to TU, Saudi Arabia. The Global Women in Data Science (WiDS) Conference is an annual one-day technical conference based at Stanford, which brings together data scientists and professionals from around the globe to discuss the latest research and applications of data science in a broad set of domains.

WiDS Taif conference will take place this year on the 30th of March and feature vision talks by distinguished speakers from academia, with female data scientists and researchers, and networking opportunities throughout the day. All genders are invited to participate in the conference.

WiDS TU conference was nominated by Taif University and the Makkah Cultural Forum within the initiatives of ‘How to set an example” in the digital world for this year 1442 AH.

Themes and Topics

The primary focus of the conference is on new and original research resuls in the areas of data science. Topics include but are not limited to

Data Science Technology

Artificial Intelligence and its applications

Data Mining

Big data

Biomedical Data Science

Data Visualization

Business Analytics

Statistical Computing

Data Science for Smart Cities

Conference chair

Eman Alkhammash - Associate Professor of Computer Science, College of Computers and Information Technology, Ambassador of Taif University for Women in Data Science in cooperation with Stanford University.

Dr. Sharifa Al-Rajhi - Counsellor and General Manager of Education Statistics and Decision Support Centre, Ministry of Education.
Dr.Eman Al-mutaib -Vice chair for physics department at The College of Science, Taif University and Vice chair for Ambassador of Taif University for Women in Data Science in cooperation with Stanford University
Dr. Wahiba ben Abdessalem - Associate Professor, College of Computers and Information Technology, Taif University.
Dr. Khaleda Ali - Assistant Professor of Computer Science, College of Computers and Information Technology and Vice chair for Ambassador of Taif University for Women in Data Science in cooperation with Stanford University.

Deadlines

March ,

Deadline of paper submission

March ,

Deadline for Notification of Acceptance

March -,

Conference Date
IEEE Xplore

Proceedings and indexing

All accepted and presented papers will be indexed in IEEE Xplore (Digital Library) for conference proceedings publication. The conference proceedings will be submitted to: Scopus

Committees

Conference Committees

Steering Committee

  • General Supervisor of Public Relations and Media at Taif University and the Director of the project “How to set an example”
  • Head of Innovation and Entrepreneurship Centre
  • Dean of the Deanship of E-Learning and Information Technology Web
  • Dean of the College of Medicine
  • Head of the Computer Science Department
  • Dean of the College of Computers and Information Technology

Organizational Committee

  • Dr. Abdullah Al-Ghanami, Assistant Professor of Computer Engineering, Head of the Centre for Innovation and Entrepreneurship, Taif University.
  • Dr. Abdullah Al-Harbi, Assistant Professor of Information Technology and Vice Dean for Training College of Computers and Information Technology.
  • Dr Dalal Nemenqani, professor at Medicine College and Dean of the College of Medicine. Taif University.
  • Dr. Fatima Bayones, Associate Professor of Applied Mathematics and Vice Dean of the College of Engineering.
  • Dr. Hanin Al-gethami, Assistant Professor of Computer Science, College of Computers and Information Technology.

Scientific Committee

  • Prof. Mahdi Masoud, Professor, College of Computers and Information Technology, Taif University.
  • Prof. Osama Salah, Professor, College of Computers and Information Technology, Taif University.
  • Dr. Muhammad Al-Zain, Associate Professor, College of Computers and Information Technology, Taif University.
  • Dr. Jihad Alamari, Associate Professor, Faculty of Computers and Information Technology, Taif University.
  • Dr. Muhammad Al-Baz, Associate Professor, College of Computers and Information Technology, Taif University.
  • Dr. Sultan Al-Shamrani, Associate Professor, College of Computers and Information Technology, Taif University.
  • Dr. Rubai al-Rubai'i, Associate Professor, College of Computing and Information Technology, Taif University.
  • Dr. Muhammad Al-Shehri, Assistant Professor, College of Computers and Information Technology, Taif University.
  • Dr. Faris Al-Maliki, Assistant Professor, College of Computing and Information Technology, Taif University.
  • Dr. Huda Hakami, Assistant Professor, Faculty of Computers and Information Technology, Taif University.
  • Dr. Reem Al-Shahrani, Assistant Professor, College of Computers and Information Technology, Taif University.
  • Dr. Sabah Al-Zahrani, Assistant Professor, College of Computers and Information Technology, Taif University.
  • Dr. Schahrazad Soltane, Associate Professor, College of Computers and Information Technology, Taif University.
  • Dr. Maram Al-Zaidi, Assistant Professor, Faculty of Computers and Information Technology, Taif University.
  • Prof. Dalal Namtagani, Professor, College of Medicine, Taif University.
  • Dr. Areej Turkustani, Assistant Professor, College of Medicine, Taif University.
  • Dr. Noha Felfelan, Assistant Professor, College of Medicine, Taif University.
  • Dr. Taghreed Muhammad, Assistant Professor, College of Science, Taif University.
  • Dr. Fatima Bayones, Associate Professor, College of Science, Taif University.
  • Dr. Khamail Abu Al-Naja, Assistant Professor, College of Science, Taif University.
  • Dr. Mervat Al-Qathami, Assistant Professor, College of Science, Taif University.
  • Dr. Sarah Al-Laboun, Assistant Professor, College of Medicine, Princess Noura Bint Abdul Rahman University.
  • Dr. Abdullah Al-Amoudi, Assistant Professor, College of Medicine, Alfaisal University.
  • Prof. Siham Bashir Masoul, Professor, Princess Noura Bint Abdul Rahman University.
  • Rasha Naeem, HIM Clinical Specialist, Health Information Systems, HIMAA CHIP.
  • ‏Dr.Ali Hussein Zolait, college of information technology, University of Bahrain.
  • Dr Rayenne Dekhinet , The Bahrain Teachers College (BTC), University of Bahrain.
  • Dr. Moaiad Ahmad Khder, Department of Computer Science, Applied Science University.
  • Dr. Sana Mohammed Al-Azouri, Associate Professor, Taif University.
  • Dr. Salha Muhammad Al-Zahrani, Assistant Professor, Taif University.
  • Dr. Maha Muhammad Al-Thubaiti, Associate Professor, Taif University.
  • Dr. Jihan Abdel Wahab Janabi, Associate Professor, Taif University.

Publication Committee

  • Prof. Ahmed Al-Sayed, Professor, College of Computers and Information Technology, Taif University.
  • Dr. Wahiba ben Abdessalem, Associate Professor, College of Computers and Information Technology, Taif University.
  • Dr. Nawal Al-Sufyani, Assistant Professor, Faculty of Computers and Information Technology, Taif University.
Representatives

Representatives of IEEE in the Conference

General Conference Co chair

Dr. Amira Henaien.

Member of the Publication Committee is

Dr. Sami Al Humaidan Alghamdi

Branch Keynote Speech is presented by

Dr. Basma Mohamad Zeineddine ElZein




Workshops

Internet of Things, Data Science and Artificial Intelligence for Women’s Health, Amira Henaien.
Data Science and Artificial Intelligence in KSA, Reem Yousif Alharbi.

Members of the Organizational Committee are

  • Dr.Amira Henaien
  • Eng. Ibrahim Nasar
  • Eng.Malak Khaled Ata
  • Eng.Reem Yousif Alharbi






Members of the Scientific Committee are

  • Prof. Ali Muhammad Rushdi
  • Dr.Mohamed Zayed
  • Dr.Imen Khemaissia
  • Dr.Thangam Palaniswamy
  • Dr.Hanan A. Aljuaid
  • Dr.Fatima Baothman
  • Dr.Abdulrahman Alahdal

The IEEE representatives are

  • IEEE Western Saudi Arabia Section
  • Computer Society Chapter - IEEE Western Saudi Arabia Section.
Call for papers

We invite submission of papers focusing on all aspects of data science ranging from theoretical foundations to novel models and algorithms. We focus on challenges and applications of all fields: Medicine, physics, chemistry, computational biology, social science, economics, computer science, mathematics, digital humanities, etc in the fields of data science. The topics of interest include but are not limited to

Data Science Technology

Artificial Intelligence and its applications

Data Mining

Big data

Biomedical Data Science

Data Visualization

Business Analytics

Statistical Computing

Data Science for Smart Cities

We encourage applications of data science that are related to The Makkah Cultural Forum. This year’s theme of the forum is “How can we set an example in digital world?”

Paper submissions can have multiple authors (of any gender), but at least one author of each accepted paper must be identified as a woman, who is expected to present the paper in the conference.

Conference registration is free of charge

CALL

FOR POSTER COMPETITION

We welcome poster submissions that present original ideas and research in any fields using or developing data science methods (e.g.: computational biology, social science, economics, computer science, mathematics, digital humanities ...etc).

Poster submissions can have multiple authors (of any gender), but at least one author of each accepted poster must be identified as a woman. Our call is open for women in data science in academia and in industry too.

Submission link

Submitting scientific papers

Authors can submit up to 6 pages for full paper (including references) and up to 4 pages for short/poster paper (including references) as per guidlines provided in the IEEE template.

Accepted papers should not have more than 15% of similarity.

Submission link: easychair.

Contact Us

We are happy to answer your questions

Contact Details

Virtual conference Widstaif@tu.edu.sa
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