Viskan System AB – Dirar Sweidan

Project Description

Whenever data exist, we as data scientists or researchers have opportunities to find new ways of exploring and gathering new knowledge from it. When we talk about Bigdata which having complexity, scalability, and diversity, we generally mention what could be related to the industrial e-commerce context and what issues can be solved.

The PhD research undertakes several aspects that nowadays are highly demanded in the digital retailing industry e.g. generating recommendations or making product return analysis etc… We believe that employing artificial intelligence and machine learning in this domain is capable to find new solutions, such as improved or totally new methods or algorithms which make a huge difference in production, and therefore increase both companies’ outcome and end-user satisfaction. Such a project is not just to be only an illustration of technical prowess but also demonstrates academic qualities and contributes to knowledge someway.

Links:
ORCID
Google Scholar

Thesis Project Team

Dirar Sweidan

PhD Student

Master of Science with a major in Computer Science and Engineering. Specialisation: Embedded and Intelligent Systems.

Linus Brimstedt

Company Mentor

Viskan System AB

Ulf Johansson

Supervisor

Jönköping University /
University of Borås

Anders Gidenstam

Co-Supervisor

University of Borås