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Pouria Akbarighatar

Pouria Akbarighatar

PhD Research Fellow

Department of Information Systems >

 

+47 38 14 26 26

Office:
H1066A ( Universitetsveien 25, Kristiansand )

Pouria Akbari is a Ph.D. research fellow in Responsible Data Science at the Information Systems Department, University of Agder, Norway. He has received a BSc degree in Industrial Engineering from the Bu-Ali Sina University, Hamedan, Iran, and an MSc degree in Information Systems from the University of Tehran. Prior to the University of Agder, Pouria was a data analyst at the MCI, Iran (the most prominent mobile operator in the Middle East and Iran with more than 45 million subscriptions). He has published in high-quality journals, including Experts Systems with Applications and Decision support systems, and led IS conferences, including ECIS, AMCIS, and PACIS.

Research interests

His main research interests include:

  • Responsible Data Science
  • Data Analysis
  • Fuzzy mathematics
  • Decision science

Courses and teaching

Projects

AI4Users

Selected publications

  • Akbarighatar, P., Pappas, I. and Vassilakopoulou, P., 2023. A sociotechnical perspective for responsible AI maturity models: Findings from a mixed-method literature review. International Journal of Information Management Data Insights, 3(2), p.100193. ISSN: 2667-0968. doi: https://doi.org/10.1016/j.jjimei.2023.100193
  • Jafarzadeh, Hamed; Heidary-Dahooie, Jalil; Akbarighatar, Pouria (2022). A project prioritization approach considering uncertainty, reliability, criteria prioritization, and robustness. Decision Support Systems. ISSN: 0167-9236. 156 doi:10.1016/j.dss.2022.113731.
  • Akbarighatar, Pouria; Jafarzadeh, Hamed (2018). A methodology for project portfolio selection under criteria prioritisation, uncertainty and projects interdependency–combination of fuzzy QFD and DEA. Expert Systems With Applications. ISSN: 0957-4174. doi:10.1016/j.eswa.2018.05.028.

Scientific publications

  • Akbarighatar, Pouria (2024). Operationalizing responsible AI principles through responsible AI capabilities. AI and Ethics. ISSN: 2730-5953. s 1 - 15. doi:10.1007/s43681-024-00524-4.
  • Abedin, Ehsan; Mendoza, Antonette; Akbarighatar, Pouria; Karunasekera, Shanika (2024). Predicting Credibility of Online Reviews: An Integrated Approach. IEEE Access. ISSN: 2169-3536. 12s 49050 - 49061. doi:10.1109/ACCESS.2024.3383846.
  • Akbarighatar, Pouria; Pappas, Ilias; Vassilakopoulou, Polyxeni; Purao, Sandeep Ramakant (2024). Responsible AI Principles: Findings from an Empirical Study on Practitioners' Perceptions. Proceedings of the 29th UK Academy for Information Systems (UKAIS) International Conference. ISBN: 978-1-7390875-1-7. Association for Information Systems (AIS). 1.
  • Akbarighatar, Pouria; Pappas, Ilias; Vasilakopoulou, Polyxeni (2023). JUSTICE AS FAIRNESS: A HIERARCHICAL FRAMEWORK OF RESPONSIBLE AI PRINCIPLES. Proceedings of the European Conference on Information Systems ECIS 2023. ISBN: 978-1-958200-08-7. Association for Information Systems (AIS). Conference paper 79.
  • Akbarighatar, Pouria; Pappas, Ilias; Vassilakopoulou, Polyxeni (2023). Practices for Responsible AI: Findings from Interviews with Experts. The 29th Americas Conference on Information Systems (AMCIS). ISBN: 978-1-958200-05-6. Association for Information Systems (AIS). Conference paper 1217.
  • Jafarzadeh, Hamed; Heidary-Dahooie, Jalil; Akbarighatar, Pouria (2022). A project prioritization approach considering uncertainty, reliability, criteria prioritization, and robustness. Decision Support Systems. ISSN: 0167-9236. 156doi:10.1016/j.dss.2022.113731.
  • Akbarighatar, Pouria (2022). MATURITY AND READINESS MODELS FOR RESPONSIBLE ARTIFICIAL INTELLIGENCE (RAI): A SYSTEMATIC LITERATURE REVIEW. The 14th Mediterranean Conference on Information Systems (MCIS 2022). Acting in the digital society: moving towards a sustainable future. ISBN: 978-88-87173-05-5. Association for Information Systems (AIS). Konferanseartikkel. s 1 - 17.
  • Akbarighatar, Pouria (2020). Prioritising IT Projects: Combination of Fuzzy QFD and ARAS to Address Criteria Multiplicity Challenge. Proceedings of the 23rd Pacific Asia Conference on Information Systems (PACIS). ISBN: 978-1-7336325-3-9. Association of Information Systems.
  • Akbarighatar, Pouria (2020). Prioritising IT projects: A multi-method approach. Proceedings of the 23rd Pacific Asia Conference on Information Systems (PACIS). ISBN: 978-1-7336325-3-9. Association of Information Systems.
  • Akbarighatar, Pouria; Jafarzadeh, Hamed (2018). A methodology for project portfolio selection under criteria prioritisation, uncertainty and projects interdependency–combination of fuzzy QFD and DEA. Expert Systems With Applications. ISSN: 0957-4174. doi:10.1016/j.eswa.2018.05.028.
  • Akbarighatar, Pouria; Pappas, Ilias; Vassilakopoulou, Polyxeni (2023). Justice as Fairness: a hierarchical framework of Responsible AI principles.

In social media

Last changed: 7.03.2024 11:03