The 13th International Workshop on Biological Knowledge Discovery from Big Data

Papers submission:



  • Paper submission: March 7th, 2022
  • Notification of acceptance: May 10th, 2022
  • Camera-ready copies due: June 1st, 2022

All accepted BIOKDD 2022 papers will be published by Springer in their Communications in Computer and Information Science (CCIS). CCIS volumes are indexed in the Conference Proceedings Citation Index (CPCI), part of Clarivate Analytics’ Web of Science; Scopus; EI Engineering Index; Google Scholar; DBLP; etc. 

The workshop "Biomedical Knowledge Discovery from Big Data (BIOKDD)" deals with the dichotomy of potentials and threats of machine learning for biomedical data analysis. There is an ongoing trend to generate and exploit medical data from a variety of distributed sources to achieve high quality personalized healthcare, thereby yielding new challenges regarding domain shift, data quality, privacy security and trust threats.
We want to bring together researchers from machine learning, biomedical data analysis, bioinformatics and information security to discuss recent developments, best practices and use cases from ongoing research projects. We especially encourage undergraduate and graduate students to submit their current research findings.

Topics of BIOKDD2022 workshop includes, but not limited to:

  • Biomedical image analysis (segmentation, classification, registration)
  • Trustworthy and explainable AI for biomedical data
  • Relational Machine Learning in the context of personalized medicine/biomedical data analysis, such as molecular interaction networks or cellular networks
  • Integration of personal medical data from multiple sources towards personalized medicine, including novel metrics for multi-modal data set matching
  • Integration of multi-modal biomedical data such as OMICs, imaging, time-lapse, time series or imaging data
  • Tackling Domain Shift challenges e.g., due to different life or genomic conditions, imbalance of different subpopulations, data quality, invitro vs. in vivo vs. in silico
  • Privacy preserving machine learning
  • Federated learning
  • Security and protection of shared personal medical data

Authors are invited to electronically submit original research contributions or experience reports in English. Submitted papers should not exceed 10 pages in Springer CCIS format. 
Formatting guidelines:
Online Papers Submission:

All accepted papers will be published by Springer in "Communications in Computer and Information Science (CCIS).  Authors of all accepted papers must sign a Springer copyright release form. At least one of the authors of an accepted paper must register to DEXA2022 conference and present the paper at BIOKDD2022 workshop.

Program Committee Chair

  • Lukas Fischer, Software Competence Center Hagenberg GmbH (SCCH), Austria 

Program Committee Members (to be confirmed)

  • Jamal Al Qundus, FU Berlin, Germany
  • Matteo Comin, University of Padova, Italy
  • Manuela Geiss, Software Competence Center Hagenberg GmbH (SCCH), Austria
  • Michael Giretzlehner, RISC Software GmbH, Austria
  • Adrien Goeffon, LERIA - Universite d'Angers, France
  • Robert Harrison, Georgia State University, USA
  • Daisuke Kihara, Purdue University, USA
  • Mohit Kumar, Software Competence Center Hagenberg GmbH (SCCH), Austria
  • Martin Leucker, University of Luebeck, Germany
  • Maad Shatnawi, College of IT, UAE University (UAEU), UAE
  • Peter F. Stadler, Leipzig Univeristy, Germany
  • Emanuel Weitschek, Italian Competition Authority, Italy
  • Malik Yousef, Zefat College, Israel

For further enquiries please contact (