Data to Knowledge — Multi Scale Approaches to Complex and Big Data

About Us

As data gets big and complex, there is a need for multi scale approaches in transforming data to knowledge. This transformation takes place by joining disciplines to model, analyse, learn and extract knowledge in diverse domains from biomedicine to environment, engineering, business, software, and banking. Data Science Lab (DSL) is engaged in research and training programs. Research in DSL involves design of intelligent algorithms and development of decision making models to form risk management systems, personalized diagnosis and patient treatment systems, and process modeling systems. Training programs include degree programs and short courses in business intelligence, and smart analytics.

Collaborations

Academic:

  • University of Oulu - Finland
  • Bogazici University - Turkey

Industry:

  • IBM Canada - Canada
  • Globe and Mail - Canada
  • Blackberry - Canada
  • St Michael's Hospital - Canada
  • Toronto Stock Exchange - Canada
  • Turkcell - Turkey

New Article on IBM developerWorks

Prospective Students

Data Science Laboratory welcomes students from a broad range of disciplines who are fascinated with the possibilities of turning big and complex data to knowledge. Information for the prospective graduate students can be found in the Mechanical and Industrial Engineering Graduate Program admission or Computer Science Graduate Program admission page. For more information about other training programs contact Professor Ayse Bener.

Professional Programs

  • Certificate Program in Data Analytics, Big Data, and Predictive Analytics
  • People

    Faculty

    • Ayse Basar Bener, PhD - Professor, Department of Mechanical and Industrial Engineering, Ryerson University
    • Ali Miri, PhD - Professor, Computer Science Department, Ryerson University
    • Ozgur Turetken, PhD - Professor, Ted Rogers School of Information Technology Management, Ryerson University
    • Pawel Pralat, PhD - Assistant Professor, Department of Mathematics, Ryerson University
    • Andriy Miranskyy, PhD - Assistant Professor, Computer Science Department, Ryerson University
    • Nursel Selver Ruzgar, PhD - Assistant Professor, Department of Mathematics, Ryerson University
    • Arthur Ryman, PhD - Adjunct Faculty, Department of Mechanical and Industrial Engineering, Ryerson University
    • Jak Ozsarfati, MD, Sick Kids Hospital, Senior Research Fellow (visiting)
    • Burak Turhan, PhD - Professor, University of Oulu, Finland (visiting)
    • Akin Kocak, PhD - Professor, Ankara University, Turkey (visiting)
    • Ceni Babaoglu,PhD, Instructor, Department of Mechanical and Industrial Engineering, Ryerson University
    • Atay Ozgovde, PhD, Assistant Professor, Department of Computer Engineering, Galatasaray University (visiting)

    Post-Docs

    • Carl Barrelet, Department of Mechanical and Industrial Engineering, Ryerson University
    • Tamer Abdou, Department of Mechanical and Industrial Engineering, Ryerson University
    • Atakan Erdem, Department of Mechanical and Industrial Engineering, Ryerson University
    • Sebnem Kuzulugil, Department of Mechanical and Industrial Engineering, Ryerson University

    Graduate Students

    • Sedef Akinli Kocak, PhD Student, Ryerson University
    • Shirin Akbarinasaji, PhD Student, Ryerson University
    • Behjat Soltanifar, PhD Student, Ryerson University
    • Parisa Lak, PhD Student, Ryerson University
    • Mefta Sadat, MS Student, Ryerson University
    • Sokratis Tsakiltsidis, MS Student, Ryerson University

    Technical Staff

    • Leotis Buchanan, Software Engineer

    Software

    Dione is a web based software analytics tool that has been developed by the members and alumni of DSL (formerly Softlab) since 1997. The earlier version of the tool is called Prest which is an open access tool. Dione provides a complete set of tools to address a wide range of problems in software development. It includes modules for metric collection, analysis, and prediction models to suport critical decisioins in software project management: cost estimation of projects, the quality of code, release management, and resource allocation. Dione offers state of the art research and tecniques to help decision making under uncertainty. For more information please contact us.