Mehdi Elahi

Mehdi Elahi is a Professor at the University of Bergen (UiB), affiliated with the Department of Information Science and Media Studies. With a Ph.D. in Computer Science, he has published over 100 peer-reviewed papers and co-invented a US patent in Recommender Systems. As a Work Package Leader in the MediaFutures project (NOK 300M budget, 8-year duration), he collaborates with Norwegian media giants and global companies like Spotify and XING.

• Research Interests: AI and Data Analytics, focusing on industrial applications in Recommender Systems, algorithmic fairness, and media technology. His work addresses challenges like popularity bias, cold start problems, and integrating visual/audio features into recommendation algorithms.
• Article Trends: His recent publications emphasize responsible AI, popularity bias mitigation, visual feature integration, and hybrid recommendation models. Key collaborations include Amazon, TV 2, and the Research Council of Norway.
• Scientific Awards:
  • Prestigious research credits from Amazon
• Advising: Supervised 7+ theses on topics like news recommendation, movie analytics, and food RS. Key advisees include Vanessa Haaland (2024), Sebastian Bergh (2023), and David Olsen (2022).
• Projects: Leads MediaFutures, a large-scale initiative with industry-academia partnerships.