Colloquia

The Data Engineering Colloquium features talks that present recent progress in research, projects, etc. It features both talks anyone interested is invited to attend (listed below) and invitation-only talks or work-sessions (not listed).

Colloquia of current and past terms

Summer 2024

This semester, Melanie Herschel is organizing the Data Engineering Colloquium.

The schedule posted here will be updated regularly. It features talks anyone interested is invited to attend. 

  • 09.04.2024 |  Linus Zaiser
    Entwicklung eines interaktiven Systems für das FALCC Framework
  • 16.04.2024 | Pawan Waldia
    Modern architectures for data integration in AEC
  • 16.04.2024 | Moritz Pfeffer
    Using Large Language Models for Entity Resolution
  • 23.04.2024 | Nico Lässig and Melanie Herschel
    EDBT Conference Report
  • 30.04.2024 | Patrick Epple
    Fairness-Monitoring in Data Preparation Pipelines
  • 07.05.2024 | Nico Lässig
    FairCR - an evaluation and recommendation system for fair classification algorithms
  • 28.05.2024 | Nico Lässig
    ICDE Conference Report
  • 04.06.2024 | Meng Sun
    Data processing for ML-based robot axis value predictions

Winter 23/24

This semester, Melanie Herschel is organizing the Data Engineering Colloquium.

The schedule posted here will be updated regularly. It features talks anyone interested is invited to attend. 

  • 07.11.23 |  Mohammed Attya
    Enhancing Cloud Provider Selection: Introducing An Innovative Framework
  • 15.11.2023 | Melanie Herschel
    VLDB 2023 conference report
  • 22.11.2023 |  Ole Nies
    Visually exploring fair classification algorithm results
  • 06.12.2023 | Pawan Waldia
    Modern architectures for data integration in AEC,  Pawan Waldia
  • 20.12.2023 | Patrick Epple
    Fairness-monitoring in data preparation pipelines
  • 21.12.2023 | Linus Zaiser
    Entwicklung eines interaktiven Systems für das FALCC Framework
  • 24.01.2023 | Moritz Pfeffer
    Using Large Language Models for Entity Resolution
  • 25.01.2023 | Ankita Saha
    Survey of Fair Clustering Approaches
  • 31.01.2024 | Alaa Elghazaly
    Studying bias in machine learning using visual exploration
  • 21.01.2024 | Maksim Helmann
    Effective Entity Resolution on Dynamic Data
  • 28.02.2024 | Nico Lässig
    Efficiently performing locally fair and accurate classifications
  • 06.03.2024 | Larissa C. Shimomura

    Graph data dependencies for property graphs and their applications

  • 20.03.2024 | Maksim Helmann
    Effective Entity Resolution on Dynamic Data

Summer 2023

This semester, Melanie Herschel is organizing the Data Engineering Colloquium.

The schedule posted here will be updated regularly. It features talks anyone interested is invited to attend.

  • 20.04.23 | Melanie Herschel
    BTW conference report
  • 27.04.23 | Nico Lässig & Melanie Herschel
    ICDE conference report

Winter 22/23

This semester, Melanie Herschel is organizing the Data Engineering Colloquium.

The schedule posted here will be updated regularly. It features talks anyone interested is invited to attend.

  • 07.10.2022 | Himanshu Acharya
    Evaluation of the Usefulness of Explanations for Entity Resolution (MSc thesis intermediate presentation)
  • 12.10.2022 | Melanie Herschel & Sarah Oppold
    VLDB 2022: Conference report
  • 15.12.2022 | Julian Valentin Eble
    Benchmarking Approaches for Fair Machine Learning (BSc thesis final presentation)
  • 20.12.2022 | Himanshu Acharya
    Evaluation of the Usefulness of Explanations for Entity Resolution (MSc thesis final presentation)
  • 09.02.2023 | Ole Nies
    Diverse Model Ensembles
  • 17.03.2023 | Leonardo Gazzarri
    Progressive Entity Resolution over Incremental Data
  • 21.3.2023 | Nico Lässig
    Towards an AutoML System for Fair Classifications

Summer 2022

This semester, Melanie Herschel is organizing the Data Engineering Colloquium.

The schedule posted here will be updated regularly. 

  • 11.05.2022 | Arijeet Chakrabarty
    Anomaly Detection and Time Series Prediction using Engine Data (MSc intermediate presentation)
  • 25.05.2022 | Nico Lässig
    The ArchIBALD data integration platform: Bridging fragmented processes in the building industry
  • 01.06.2022 | Sarah Oppold
    Provenance-based explanations: Are they useful?
  • 20.07.2022 | Arjeet Chakrabarty
    Anomaly Detection and Time Series Prediction using Engine Data (MSc final presentation)
  • 26.7.2022 | Suhas Sangolli
    Deep Learning in Stream Entity Resolution (MSc final presentation)
  • 21.09.2022 | Himanshu Acharya 
    Evaluation of the Usefulness of Explanations for Entity Resolution (MSc thesis intermediate presentation)
  • 28.09.2022 | Julian Valentin Eble
    Benchmarking Approaches for Fair Machine Learning (BSc thesis intermediate presentation)
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