PhD or Postdoc job openings
Our team is regularly looking for new members to join as Phd or Postdoc researchers. More details are available on the job posting page.
10.01.2023 | Appointment to NFDI Expert Committee
Prof. Herschel has been appointed to the Expert Committee for National Research Data Infrastructure by the DFG.
09.01.2023 | New team member
Aditya has joined the Data Engineering team as a research assistant.
27.07.2022 | Paper accepted at the DEco Workshop co-located with VLDB 2022
The following paper has been accepted to the International Workshop on Data Ecosystems (DEco), held in conjunction with VLDB 2022.
Sarah Oppold, Melanie Herschel:
Trust in data engineering: reflection, framework, and evaluation methodology
18.07.2022 | Paper accepted at EDBT 2023
The following paper has been accepted to the International Conference on Extending Database Technology (EDBT) 2023.
Leonardo Gazzarri, Melanie Herschel:
Progressive Entity Resolution over Incremental Data
15.06.2022 | Paper accepted at VLDB 2022
We are happy to announce that the following paper has been accepted for publication at the International Conference on Very Large Databases (VLDB):
Kaiping Zheng, Shaofeng Cai, Horng-Ruey Chua, Melanie Herschel, Meihui Zhang, Beng Chin Ooi:
DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics
25.05.2022 | Paper accepted at the TAPP workshop co-located with SIGMOD 2022
The following short paper has been accepted to the International Workshop on Theory and Practice of Provenance (TAPP), held in conjunction with ACM SIGMOD 2022.
Sarah Oppold, Melanie Herschel:
Provenance-based explanations: are they useful?
03.03.2022 | Paper accepted at the CAISE Forum 2022
The following paper has been accepted to the Forum of the International Conference on Advanced Information Systems Engineering (CAISE) 2022.
Nico Lässig, Melanie Herschel, Alexander Reichle, Carsten Ellwein, Alexander Verl:
The ArchIBALD Data Integration Platform: Bridging Fragmented Processes in the Building Industry.
10.11.2021 | Congratulations Ralf Diestelkämper
Ralf Diestelkämper has successfully defended his PhD thesis. His research focused on "Explaining existing and missing results over nested data in big data analytics systems".
1.7.2021 | Demonstration accepted at VLDB 2021
We look forward to presenting our accepted demonstration of the Breadcrumb system at VLDB 2021.
Ralf Diestelkämper, Seokki Lee, Boris Glavic, Melanie Herschel: Debugging Missing Answers for Spark Queries over Nested Data with Breadcrumb.
1.7.2021 | Paper accepted at TAPP 2021
The following paper has been accepted to the International Workshop on Theory and Practice of Provenance (TAPP), held in conjunction with Provenance Week 2021.
Julia Kühnert, Dominik Göddeke, Melanie Herschel: Provenance-integrated parameter selection and optimization in numerical simulations.
13.3.2021 | Two papers accepted at SIGMOD 2021
We are happy to announce that the following two papers have been accepted for publication in the research track of the ACM SIG Conference on Management of Data (SIGMOD) 2021.
Ralf Diestelkämper, Seokki Lee, Melanie Herschel, Boris Glavic: To not miss the forest for the trees - A holistic approach for explaining missing answers over nested data.
Kaiping Zheng, Gang Chen, Melanie Herschel, Kee Yuan Ngiam, Beng Chin Ooi, Jinyang Gao: PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery.
22.1.2021 | Congratulations Houssem Ben Lahmar
Houssem Ben Lahmar had successfully defended his Ph.D. dissertation. His research focused on "Provenance-based visual data exploration".
9.12.2020 | New team member
Nico Lässig has joined our team as a PhD student. Hi will work on an interdisciplinary EXC IntCDC project in collaboration with the Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) , focusing on data management solutions for integrative and adaptive design and manufacturing in the construction industry.
5.10.2020 | Paper accepted at ICDE 2021
The paper entitled End-to-end Task Based Parallelization for Entity Resolution on Dynamic Data by Leonardo Gazzarri and Melanie Herschel has been accepted as full research paper at ICDE 2021.
10.2019 - 9.2020 | Melanie Herschel visiting NUS
Melanie Herschel joined the National University of Singapore as visiting research professor.
10.9.2020 | Paper accepted at ER Forum 2020
The paper entitled Accountable data analytics start with accountable data: the LiQuID metadata model by Sarah Oppold and Melanie Herschel has been accepted for presentation at the ER Forum of the International Conference on Conceptual Modeling (ER) 2020.
28.8.2020 | Best paper award at ADBIS 2020
We are honoured that our ADBIS paper on Distributed Tree-Pattern Matching in Big Data Analytics Systems by Ralf Diestelkämper and Melanie Herschel received the Best Paper Award at ADBIS 2020.
8.8.2020 | Paper accepted to Information Systems Journal
The paper entitled Collaborative filtering over evolution provenance data for interactive visual data exploration by Houssem Ben Lahmar and Melanie Herschel has been accepted for publication in the Information Systems journal.
14.5.2020 | Paper accepted at ADBIS 2020
The paper entitled Distributed Tree-Pattern Matching in Big Data Analytics Systems by Ralf Diestelkämper and Melanie Herschel has been accepted as full paper to be presented at ADBIS 2020.
13.5.2020 | New team member
Julia Kühnert has joined our team as a PhD student. She will work on a joint interdisciplinary SimTech project with the Mathematics department on capturing novel kinds of provenance in simulation computations.
19.3.2020 | Paper accepted at CAiSE 2020
The paper entitled A System Framework for Personalized and Transparent Data-Driven Decisions by Sarah Oppold and Melanie Herschel has been accepted as full paper at CAiSE 2020.
30.12.2019 | Short paper accepted at EDBT 2020
The paper entitled Boosting Blocking Performance in Entity Resolution Pipelines: Comparison Cleaning using Bloom Filters by Leonardo Gazzarri and Melanie Herschel has been accepted to the short paper track of EDBT 2020.
25.11.2019 | Paper accepted at EDBT 2020
The paper entitled Tracing nested data with structural provenance for big data analytics by Ralf Diestelkämper and Melanie Herschel has been accepted as full paper at EDBT 2020.