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Awards
- Best Paper Award: “Deceptive AI Explanations: Creation and Detection”, International Conference on Agents and Artificial Intelligence 2022
- Outstanding Technical Award: “Contributions to Graph-Based Approaches in Recommender Systems”, IBM, 2019
- “Best of ICDE 2017” paper, IEEE International Conference in Data Engineering, 2017
- Best Paper Runner Up: SIAM Data Mining International Conference, 2014
- Distinguished Alumnus Award, Informatics Dept., Aristotle University, May 2017
- Research Division Award: “Cognitive Recommendation Engine (CORE)”, IBM, 2017
- Outstanding Technical Award: “Efficient Indexing and Searching on Big Data”, IBM, 2015
- Research Division Award: “A Sales Recommender for Opportunity Identification”, IBM, 2015
- Technical Accomplishment Award: “Client Information and Buying Pattern Analysis”, IBM, 2010
- Fulbright Foundation, Graduate Scholarship
- ACM Distinguished Speaker
- IEEE Senior Member
Grants
- ERC Starting Grant: “Exact Mining from InExact Data“, EUR 1’500’000
- Marie Curie International Reintegration Grant, “GraphRules: Rule Discovery, Exploration and Visualization of Collaborative Graph Structures”
- Toward Interpretable Machine Learning, E4S Society
- Simplifying the Exposition of Machine Learning and Data Science Concepts in the University Curriculum, UNIL – HEC , Pedagogical Innovation grant, UNIL (2021)
- Developing Students’ Digital Skills with Internet-of-Things (IoT) Devices, Pedagogical Innovation grant, UNIL (2022)