Departement of Technology

The Department of Technology's academic profile relates to information systems (IS) and computer science. This is covered by the fields of information science, information technology and computer science.

The department has three research groups, one within Applied Computer Science, one within Information Systems and one in the field of didactics. These support and collect research specifically related to our master programmes in the same areas, but also all teaching at the department. The department also has three labs that also help to focus the research efforts, especially in connection with PhD and master fellowships at the department. These are the Behaviour Lab, the Mobile Technology Lab and Evolutionary Enterprise Testing.

Employees

  • Andrii Shalaginov

    Andrii Shalaginov

    Førsteamanuensis

    Kristiania University College

    Institutt for teknologi

    Andrii Shalaginov
  • Philippe Büdinger

    Stipendiat ikke ansatt

    Kristiania University College

    Institutt for teknologi

    Philippe Büdinger
  • Asma Belhadi

    Asma Belhadi

    Postdoctor

    Kristiania University College

    Institutt for teknologi

    Asma Belhadi
  • Mathilde Hogsnes

    Mathilde Hogsnes

    Stipendiat

    Kristiania University College

    Institutt for teknologi

    Mathilde Hogsnes
  • Kjeld Hansen

    Kjeld Hansen

    Høyskolelektor

    Kristiania University College

    Institutt for teknologi

    Kjeld Hansen
  • Bogdan Marculescu

    Bogdan Marculescu

    Høyskolelektor

    Kristiania University College

    Institutt for teknologi

    Bogdan Marculescu
  • Henrik Lieng

    Førsteamanuensis

    Kristiania University College

    Institutt for teknologi

    Henrik Lieng
  • Man Zhang

    Man Zhang

    Seniorforsker

    Kristiania University College

    Institutt for teknologi

    Man Zhang

Research projects

  • The overall vision of ENViSEC project is to enhance Smart Environments cybersecurity by introducing intelligent multi-agent data handling, cyber threats sharing, situational awareness and data streams aggregation from Edge devices. Our ambition is to offer a resilient response to cyber-attacks as well as to ensure human-oriented warning and early detection of adversarial actions. Our new method enables multi-level data collection and off-chip Machine Learning model training to reduce the...

  • With the EAST project, I aim to improve our understanding of the intrinsic characteristics of web/enterprise systems related to their security. I will achieve it by designing novel techniques that are able to scale to automatically generate test cases for large web/enterprise systems, and that can automatically find common types of security threats. This is a necessary stepping stone before reaching the high risk / high impact goal of designing testing systems that can adapt and learn, findin...

  • Nowadays, software affects most parts of life, like banking, healthcare, enterprises, transportation, smartphones, entertainment systems, etc. Unfortunately, writing software is hard, and, most of the time, systems are shipped with bugs, i.e. functional mistakes. Software testing is used to try to find those bugs, but it is a complex, tedious task, especially when done manually. Often, software testing takes up to half of the development time and cost for a system. As of 2013, it is estimated...

  • The project will explore opportunities for better decisions about sustainability in public procurement and seek international cooperation.