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Ricardo Salazar Díaz

Ph.D. Student
Room: F-1.04
Phone: + 49- (0) 331 5509-3463
E-Mail:

Full profile

About Me

I'm a Ph.D. student at the Data Engineering Systems group led by Prof. Tilmann Rabl. Before joining HPI, I completed my master's in Information Systems Management at TU Berlin. Before that, I did a bachelor's in Industrial Engineering at Universidad de Los Andes in Bogotá - Colombia. I also have industry experience in analytics, data science, and data engineering.

Research Interests

Data management for machine learning. In-database machine learning inference.

Publications

  • Green or Greedy? An Ecological Analysis of Data Center GPU Replacements @ICDE '26
    Marc Baeuerle, Ole Becker, Nikolas Hoellerl, Ricardo Salazar-Díaz, Ilin Tolovski, Tilmann Rabl
    Paper
  • TCO2: Analyzing the Carbon Footprint of Database Server Replacements @VLDB '25
    Marc Baeuerle, Thomas Bodner, Martin Boissier, Tilmann Rabl, Ricardo Salazar-Díaz, Florian Schmeller, Nils Strassenburg, Ilin Tolovski, Marcel Weisgut, Wang Yue
    Paper
  • A Case for Ecological Efficiency in Database Server Lifecycles @ CIDR 2025
    Bodner, T., Boissier, M., Rabl, T., Salazar-Díaz, R., Schmeller, F., Strassenburg, N., Tolovski, I., Weisgut, M. and Yue, W.
    Paper
  • InferDB: In-Database Machine Learning Inference Using Indexes @ VLDB 2024
    Ricardo Salazar-Díaz, Boris Glavic, Tilmann Rabl
    Paper > Code
  • Automated Feature Engineering for Algorithmic Fairness @ VLDB 2021
    Ricardo Salazar-Díaz, Felix Neutatz, Ziawasch Abedjan
    Paper > Code

Teaching

Master's Thesis Supervision

  • Benchmarking class-aware pruning techniques. Smilla Fox. Co-supervised with Nils Straßenburg. 2025
  • Approximating NLP model inference in databases, Quirin Ertz. 2024 

Projects/Seminars

Lectures