NEWS
DEBS 2026 Best Paper Award
Congratulations to the BIFOLD researchers Ariane Ziehn, Finn Glück, Philipp Emanuel Meran, Steffen Zeuch, and Volker Markl, who have been awarded the DEBS 2026 Best Paper Award for their research paper "KRAKEN: Joint Optimization of Operator Placement and Communication for Distributed Stream Processing."
BIFOLD participates in the Web Conference´26
Researchers from Aalborg University and a BIFOLD researcher recently presented their paper on “Evolving Proxy Kills Drift: Data Efficient Streaming Time Series Anomaly Detection,” at the ACM Web Conference 2026 in Dubai, United Arab Emirates. The paper introduces DESS, a data-efficient framework for anomaly detection in streaming time series, co-authored by BIFOLD Co-director Volker Markl.
EVENTS
Lunch Talk: Rudi Poepsel Lemaitre
In this Lunch Talk on "Pacha Sketches: Organizing Multidimensional Space for Efficient Aggregation," Rudi Poepsel Lemaitre presents a novel hierarchical technique. It combines multi-dimensional dyadic ranges for numerical data with AD-trees for categorical data, enabling scalable and accurate summarization of multidimensional data for tasks.
Cedalion Workshop
This scientific workshop introduces researchers to Cedalion, a Python-based toolbox for advanced fNIRS and DOT analysis in naturalistic settings. Built on HOMER3 and AtlasViewer, it integrates machine learning and multimodal data processing for cutting-edge neuroimaging research.
*Data collected from 2020 onwards.
OPPORTUNITIES
BIFOLD welcomes job applications from interested parties year-round.
PUBLICATIONS
Gereon Dusella, Haralampos Gavriilidis, Volker Markl, Eleni Tzirita Zacharatou
Benchmarking Spatial Operations over Heterogeneous Data: The Case of Zonal Statistics
Yanqing Luo, Julius Hense, Niklas Prenißl, Andreas Mock, Klaus-Robert Müller, Thomas Schnake, Mina Jamshidi Idaji
Symb-xMIL: Symbolic Explanations for Multiple Instance Learning in Digital Pathology
Marco Morik, Xiao Ruiting, Shinichi Nakajima, Stefan Haufe, Ismail Huseynov
Structure-Preserving Correction Learning for Sparse Bayesian Inference in Brain Source Imaging
GRADUATE SCHOOL
Based on a highly competitive application process, the BIFOLD Graduate School offers an innovative fast-track PhD Program for students holding a bachelor’s degree, as well as a PhD Program for students with a master’s degree.
INSTITUTIONAL PARTNERS
ASSOCIATED PARTNERS
