Celebrations are set as Elham successfully defends her PhD dissertation.
We are delighted to announce the successful defense of Elham Motamedi Mohammadabi’s doctoral thesis, titled “User and Item Modelling Using Eudaimonic and Hedonic Characteristics for Personalized Recommender Systems.” This momentous occasion marks a significant milestone in Elham’s academic journey within the doctoral study program in Computer Science at UP FAMNIT.
Under the mentorship of Assoc. Prof. Marko Tkalčič, PhD, and co-mentorship of Assoc. Prof. Mehdi Elahi, PhD, Elham has exhibited remarkable dedication, expertise, and innovation in the realm of personalized recommender systems. Her research efforts have contributed immensely to the advancement of user and item modeling methodologies, incorporating both eudaimonic and hedonic characteristics to enhance recommender systems.
The defense, held on Tuesday, April 9, 2024, at 10:00 in Famnit-VP1, provided a platform for Elham to showcase her comprehensive understanding of the subject matter, as well as her analytical prowess and scholarly rigor. Her insightful findings and meticulous approach have garnered praise and recognition from peers and mentors alike.
As we reflect on Elham’s accomplishments, we extend our heartfelt congratulations to her for this remarkable achievement. Her exemplary work exemplifies the commitment to excellence and innovation that defines our academic community at UP FAMNIT.
We are confident that Elham’s contributions will continue to shape the landscape of personalized recommender systems, paving the way for more sophisticated and user-centric approaches in the field. We look forward to witnessing her continued success and the impact of her research in the years to come.
To read more about Elham’s project, we invite you to check out the details in the Personalised recommender systems project page.
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