Fisnik Dalipi

Fisnik Dalipi

Associate professor
Department of Informatics Faculty of Technology
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Fisnik Dalipi currently works as an associate professor of Informatics at the Department of Informatics of Linnaeus University (LNU). Besides, he also holds the title associate professor in information systems from the University of South-Eastern Norway, where he was previously working.

His research embodies a robust interdisciplinary approach, leveraging computational approaches to address digitalization challenges in both industry and society. It bridges technology and societal needs, with a focus on areas like digital transformation and sustainable development. Dr. Dalipi's work emphasizes secure, efficient, and transformative data solutions to drive industry/society progress and innovation. He has been supervising students at different academic levels and has been involved in the development and curriculum preparation at all academic levels. He is actively serving as a program committee member and reviewer in many international conferences, workshops, and journals.

 

 

Teaching

Fisnik is currently involved in teaching for the following courses:

  • Introduction to data analytics - 1ik172 (BSc)
  • Web management  - 1ik425 (BSc)
  • Development of web-based applications  - 1ik163 (BSc)
  • Object oriented analysis and process modeling - 1ik003 (BSc)
  • Systemic perspectives on digital transformation - 5ik505 (MSc)

Previously, he was teaching the courses:

  •  Introduction to object oriented programming  - 1ik143 (BSc),
  • Data structures, databases and graphical user interfaces with OOP languages  ​​- 1ik153 (BSc) 
  • IS/IT for organising, communicating and coordinating II  - 5ik501 (MSc)

Research

Fisnik has participated in projects funded by the Swedish Knowledge Foundation (KK Stiftelsen), VINNOVA (Sweden's Innovation Agency), the Norwegian Research Council, the Regional Research Council of Norway and EU Horizon.

He is currently involved in numerous ongoing research projects at LNU that are EU and VINNOVA funded and aimed at improving digital solutions and data reliability in various sectors. These projects include: APPEND, ENTRUST, FOREST 4.0, IGNITE, STEFORA, RAPID.

His work often focuses on integrating AI-driven solutions in various domains, enhancing user interaction and privacy in digital systems, and exploring mobile and pervasive computing to improve learning experiences and security. Dr. Dalipi is also involved in topics such as MOOCs (Massive Open Online Courses) and digital diploma generation and authentication systems using blockchain and AI.

Overall, his research can be categorized into the following areas:

1. Digital transformation and sustainable data management: He approaches digitalization challenges at the intersection of data integrity, sustainability, and digital innovation across several sectors, including agriculture, education, and manufacturing.

2. E-Learning and Technology-Enhanced Learning (TEL): He frequently explores how technology and computational thinking can improve educational practices.

3. Applied Artificial Intelligence: His research applies AI to various domains, including security and privacy. Recently, he has been addressing blockchain and AI's role in improving privacy and security mechanisms in digital environments.

4. Human-Computer Interaction: Understanding and improving how users interact with digital systems is one of the components of his published work.

 

 

My ongoing research projects

Publications

Article in journal (Refereed)

Article, review/survey (Refereed)

Chapter in book (Refereed)

Conference paper (Refereed)

Conference paper (Other academic)

Report (Other academic)