• Me in a Nutshell

    I am a Computer Scientist with a background in optimization and applied Machine Learning. I received my PhD from the University of Lorraine (IAEM doctoral school ) in Automatic, Signal and Image processing, Computer engineering. Previously I worked as a Research Scientist at the Luxembourg Institute of Science and Technology (LIST), Research Center for Automatic Control (CRAN) a joint research unit with the French National Scientific Research Center (CNRS), Bruno Kessler Institute (FBK) and University of Trento ( DISI).

    I'm AI enthusiast, passionate about applied Machine learning and Data-Driven Solutions. My research focuses on various aspects of Human-Centered Artificial Intelligence, including Recommender Systems, Adaptive User Interfaces, and Personalization in the context of Smart Interactive Environments aka Cyber-Physical-Social Systems (CPSS).

    ✒ 🔎 Currently, I am part of the Computational Interaction (COIN) research group at the University of Luxembourg, I am a Lecturer in the Department of Computer Science and the instructor of Recommender Systems in the Doctoral School of Computer Science and Computer Engineering.

    ✒ 🛠 I am also actively contributing to Brain Computer Interfaces (BCI) research in the framework of project BANANA, Brainsourcing for Affective Attention Estimation.

    I love nature, Hiking and motorsports. I try to put these together with my passion for photography. Check out some of my latest woks 📸 👉 Here

Education

Education

UNIVERSITY OF LORRAINE (UL)

Automatic, Signal and image processing, Computer engineering

Human-Centered Artificial Intelligence focusing on Personalisation in Cyber-Physical-Social Systems (CPSS).

Learn more about my PhD research 👉 Here

UNIVERSITY OF TRENTO

Thesis title: Constructive Social Choice With Setwise Max-Margin (Preference Elicitation)

Learn more about the thesis 👉 Here

Specialization courses

  • Machine learning
  • Big data analytics
  • Data Mining
  • Advanced Business Intelligence

UNIVERSITY OF GONDAR

Specialization

  • Information retrieval (IR)

Activities

Professional services

Publications

Selected Publications

Teaching

Courses and Lectures

Summer Semester 2024: Recommender Systems: an overview

  • Doctoral Course in Computer Science and Computer Engineering
  • University of Luxembourg. Luxembourg.

    Summer Semester 2024:

  • Introduction to Deep Learning,
  • Master of Data Science program at the University of Luxembourg. Luxembourg.

    The 7th Summer School on Computational Interaction

  • Computational Methods for Designing Recommender Systems
  • University of Michigan in Ann Arbor, Michigan, USA (June 2023).

    Summer Semester 2023: Recommender Systems: an overview

  • Doctoral Course in Computer Science and Computer Engineering
  • University of Luxembourg. Luxembourg.

    Summer Semester 2023:

  • Prototyping with Deep Learning,
  • Master of Data Science program at the University of Luxembourg. Luxembourg.

    Winter Semester 2022: Recommender Systems: an overview

  • Doctoral Course in Computer Science and Computer Engineering
  • University of Luxembourg. Luxembourg.

    Winter Semester 2022:

  • Web development II: Back-end engineering
  • Bachelor of Computer Science program at the University of Luxembourg. Luxembourg.

    Summer Semester 2022:

  • Prototyping with Deep Learning
  • Master of Data Science program at the University of Luxembourg. Luxembourg.

    The 6th Summer School on Computational Interaction

  • Deep Learning
  • Saarland University in Saarbrücken, Germany (June 2022).

    Alumni

    Current and Past students

    Msc Students:

  • Désirée Claire Annie Lemarquis (University of Luxembourg, 2022).

  • What Can a Swiped Word Tell Us More? Demographic and Behavioral Correlates from Shape-Writing Text Entry

  • Victor Zhang ( University of Lorraine, TELECOM Nancy, 2022).
  • Paul Creusot ( University of Lorraine, TELECOM Nancy, 2022).
  • Arthur Schmidt ( University of Lorraine, TELECOM Nancy, 2022).

  • Personalized adaptation in Cobotics with Deep Reinforcement Learning

  • Najib Aghenda ( University of Lorraine, TELECOM Nancy, 2019).

  • Deep learning and clustering based recommendations

    Bsc Students:

  • LEOVEANU Bianca-Gabriela [BSP], University of Luxembourg, 2024 .

  • NovelNarratives: Crafting Tailored Literary Journeys through Advanced Personalized Book Recommendations

  • WILEMAN Matthew-Stephen [BSP], University of Luxembourg, 2024 .

  • Simulation of life on Titan

  • Alexandre Tinouert [Research Assistant], University of Luxembourg, 2023 .

  • Precision in Personalization: A Constrained Optimization Approach to Personalized Content and Path Recommendations

  • João Delfim Da Cruz Pereira [Bachelor Thesis], University of Luxembourg, 2023.

  • Euro Cordiale 2.0: Optimizing User Interaction in a Custom Design Template for a Modern Website

  • Angelica RINGS [BSP], University of Luxembourg, 202).

  • From Pixels to Provenance: Detecting AI-Generated Art

    OPEN POSITIONS

    Below, I post current openings that could be your next adventure. If you are interested to work with me in the intersection of Machine Learning and Human-Computer Interaction (HCI) feel free to send me an email: bereket [DOT] yilma AT_SYMBOL uni [DOT] lu

    PhD Positions
      Current openings: 0

    Master's Thesis/ Internship/ Research Assistant
    BSP/ Bachelor Thesis/ Research Assistant

      Current openings: 0

    MEDIA

    News & Media 2023





    TALKS

    Invited Talks & Panels

    • Personalization in the Age of Cyber-Physical-Social Systems DINS Seminar Series at University of Pittsburgh , Pittsburgh, USA, November, 2023.
    • The future of Artificial intelligence and Society at HITLAML2023, Belval, Luxembourg, Septemeber 2023.
    • Context Representation in User Modeling CRUM Workshop at UMAP2023, Limassol, Cyprus, June 2023.
    • Can Machine Intelligence crack the code of Visual Arts? Culture & Computation Lab, Luxembourg, June 2023.
    • Learning Latent Semantic Representations of Paintings for Personalized Recommendation, LuxCHI seminar, April 2023.
    • Recommender Systems Elements of AI, Luxembourg, March 2023.
    • Personalization in Cyber-Physical-Social Systems, GDR MACS, Nantes, France, February 2020.
    • Social Preference Elicitation and Preference Learning with Setwise Max-Margin, Workshp at Neural Information Processing Systems (NeurIPS2018) Montreal, Canada, December 2018.





    CONTACT

    bereket [DOT] yilma AT_SYMBOL uni [DOT] lu
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