Background and activities

Dr. Andrii Shalaginov is working as a Postdoctoral Researcher in Digital Forensics at the Department of Information Security and Communication Technology (IIK), he is a member of NTNU Digital Forensics group and NTNU Malware Lab. Andrii's expertise lies in developement of new method to protect against cybersecurity threats using advanced data analytics. The main aspect is intelligent processing of data pieces that further can be used for building AI models to defend intrustructure as well as preserving digital evidences.

Current Research Interensts

  • Malware Anlaysis
  • Digital Forensics
  • Big Data Analytics
  • Machine Learning
  • Internet of Things


Andrii obtained his PhD in Information Securtiy in 2018 from NTNU. This research project included developement and proof-of-concept demonstration of advanced Neuro-Fuzzy method for Big Data problems in Digital Forensics applications. One of the contributions received aware from AI Journal. By today, Andrii holds his MSc degree in Information Security (Digital Forensics track) from Gjøvik University College (Norway), MSc in System Design from Kyiv Polytechnic Institute (Ukraine) and BSc in Information Technology from Kyiv Polytechnic Institute (Ukraine). Moreover, Andrii experienced in system architecture and software engineering. In 2010-2011 he worked with Samsung R&D Center on Human-Computer Interaction Porjects on embedded devices for Android platform.

Project Work


  • IMT4133 - Data Science for Security and Forensics (course responsible)
  • IMT4114 - Introduction to Digital Forensics (course responsible)

Selected Invited Talks

  • Future Smart Cities Policing: Opportunities and Challenges, Interpol, Singapore, 2018.
  • Malware on selected suspected copyright infringing websites, European Union Agency for Law Enforcement Training (CEPOL), 2017.
  • Machine Learning-Aided Malware Analysis, NorCERT Security Forum - NTNU Malware Forum, 2017.

Other activities

  • Member of "Impact of Technology Expert Group", Observatory Expert Groups, European Union Intellectual Property Office, 2019.
  • Andrii is part of NTNU team that won 1st place at Interpol Thinkathon on Future Policing in Smart Cities (PolitiForum) (2018)
  • Chair of "International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention" 2017, 2018
  • Co-chair of "NTNU Malware Forum" (2017-current)
  • COINS steering comittee member and student representative (2015-2017)
  • Member of Machine Intelligence Research Labs (MIR Labs) (2018-current)
  • Member of International Neural Network Society (INNS) (2017-current)
  • Member of  Institute of Electrical and Electronics Engineers (IEEE) (2018-current).

Scientific, academic and artistic work

A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database

Journal publications


Part of book/report

  • Shalaginov, Andrii; Dyrkolbotn, Geir Olav; Alazab, Mamoun. (2021) Review of the Malware Categorization in the Era of Changing Cybethreats Landscape: Common Approaches, Challenges and Future Needs. Malware Analysis Using Artificial Intelligence and Deep Learning.
  • Shalaginov, Andrii; Øverlier, Lasse. (2021) A Novel Study on Multinomial Classification of x86/x64 Linux ELF Malware Types and Families Through Deep Neural Networks. Malware Analysis Using Artificial Intelligence and Deep Learning.