Scholar
Emanuel Lacic
Google Scholar ID: -Bb4HhQAAAAJ
Principal Engineer @ Infobip
Citations & Impact
Citations
382
H-index
11
i10-index
13
Publications
20
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- Recipient of the 2022 Mind-the-gap Gender and Diversity Award from Graz University of Technology for research on fairness in AI and bias in recommender systems.
- Marshall Plan Fellowship (2018) for in-depth research at UCLA on session-based recommendation.
- Travel Grant for HT’16 (2016), the 27th ACM Conference on Hypertext and Social Media.
- Project Grant (2015) of €286k for Data Market Austria (DMA) as a technology contributor from Know-Center for a recommender system-based brokerage platform.
- Best Demo Honourable Mention at i-Know’15 (2015).
- Best Poster Award at HT’14 (2014) in Santiago, Chile.
- Erasmus Scholarship (2012) for final Master’s year at Karlsruhe Institute of Technology.
- Published in top venues including ECIR 2022 and UMUAI 2020 on recommender systems.
Background
- Currently working on AI at Infobip, with a focus on Generative AI and the impact of Large Language Models (LLMs).
- Previously served as Operations Area Manager and Key Researcher of the Fair-AI division at Know-Center, Austria's leading research center for data-driven business and Big Data analytics.
- Main research interests lie in recommender systems within information retrieval, particularly focusing on algorithmic accuracy, real-time performance, privacy, fairness, and bias.
- Serves as a special issue editor for the Recommender Systems section of Frontiers in Big Data.
- His research on fairness in AI and bias in recommender systems received the Mind-the-gap Gender and Diversity Award from Graz University of Technology in 2022.
