Description

International Conference on Data Science 2019 (ICDS19) is a conference for sharing knowledge about cutting edge research and applications of the multidisciplinary field of data science. The conference will bring together researchers and practitioners from academia and industry to exchange their knowledge and discuss about challenges and goals for data science.

The program of the conference will consist of paper presentations, poster presentations, system exhibition, doctoral colloquium, invited talks and panel discussions. A dedicated session will be organized about “Data Science Curriculum”.

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Important Dates

Draft paper submission deadline:2018-09-25

Author guidelines

Submission for following categories are welcome:

Research Papers: Full papers describing completed or on-going research or development in the field of Data Science. 
Papers are to be submitted in pdf format, no more than six pages in length excluding references. Please follow the given IEEE research paper template for the the submission. The review process will be double-blind, so authors are requested NOT to provide any names or contact details on the submitted paper. 

Paper Submission Deadline: 25th September, 2018 

 

Doctoral Colloquium: An opportunity for PhD scholars to present their doctoral thesis work related to Data Science and to interact with their colleagues as well as senior researchers and academia. 
The doctoral scholars should submit 2 page extended abstract (+ additional pages for references) describing thesis work (related to Data Science) and its current status. 

Abstract Submission Deadline: 15th November, 2018 

 

System Exhibition: Proposals for exhibition of products and/or libraries related to Data Science. The proposed demo can be an academic work as well as industrial solution. 
The developer(s) should present a 400 to 700 word abstract describing motivation, design, significance and innovation of the proposed demo. The screenshots of input/output can be appended to the abstract. 

Abstract Submission Deadline: 15th November, 2018 

Topics of submission

  • Data Preprocessing
  • Machine Learning & Data Analytics
  • Data Visualization
  • Data Storage and Retrieval
  • Distributed and Parallel Computing
  • Blockchain and its applications
  • Ethics and law for Data Science
  • Data Science Applications
  • Curriculum and Teaching of Data Science

Committee

Technical Committee: 

  • Abdul Samad, Habib University, Karachi
  • Adnan Masood, UST Global, USA
  • Arjumand Younus, Insight Centre for Data Analytics, Ireland
  • Awais Athar, European Bioinformatics Institute, UK
  • Chan Naseeb, KPMG, Netherlands
  • Dost Muhammad Khan, Islamia University Bahawalpur, Bahawalpur
  • Veronique Eglin, INSA de Lyon, France
  • Faisal Shifait, NUST, Islamabad
  • Faraz Rasheed, Microsoft, Canada
  • Faraz Zaidi, Region of Peel, Canada
  • Hafeez Ur Rehman, FAST NU, Peshawar
  • Jemal Abawajy, Deakin University, Australia
  • Khurram Junejo, PAF-KIET, Karachi
  • M. Abdul Rehman Soomrani, IBA, Sukkur
  • M. Arshad Islam, Capital University of Science & Technology, Islamabad
  • M. Atif Qureshi, CeADAR (the Centre for Applied Data Analytics Research), Ireland
  • M. Imad Khan, Analytics & Artificial Intelligence, Australia
  • M. Tanvir Afzal, Capital University of Science & Technology, Islamabad
  • Muhammad Khurram, NED University, Karachi
  • Mohammad Nauman    FAST NU    Peshawar
  • Muhammad Saeed, University of Karachi, Karachi
  • Niladri Sett, Insight Centre for Data Analytics, Ireland
  • Noman Islam, Iqra University, Karachi
  • Quan Le, CeADAR (the Centre for Applied Data Analytics Research), Ireland
  • Rauf Shams Malick, FAST NU, Karachi
  • S. Saleha Raza, Habib University, Karachi
  • S. Zafar Shazli, Juniper Networks, USA
  • Sadaf Abdul Rauf, Fatima Jinnah Women University, Islamabad
  • Saima Hassan, Kohat University of Science & Technology, Kohat
  • Sajjad Haider, IBA, Karachi
  • Shabbar Naqvi, Balochistan UET, Khuzdar
  • Shahzad Cheema, IBM, Germany
  • Shahzad Mumtaz, Islamia University Bahawalpur, Bahawalpur
  • Shariyar Murtaza, TELUS Communications, Canada
  • Sibt Ul Hussain, FAST NU, Islamabad
  • S. Saqib Bukhari, German Research Center for Artificial Intelligence (DFKI), Germany
  • Tahir Syed, FAST NU, Karachi
  • Tahseen Jilani, University of Nottingham, UK
  • Tariq Mahmood, IBA, Karachi
  • Zain Abbas, Scotiabank, Canada
  • Zeeshan-ul-hassan Usmani, Data Scientist, USA

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Contact information

  • tafseer.ahmed@jinnah.edu

Sponsored By

  • Mohammad Ali Jinnah University