About the Workshop

Topics of Interest | Important Dates | Submission Instructions | Organization

The goal of the workshop is to bring together leading researchers and practitioners working on a diverse range of theoretic and practical approaches for the scalable engineering of genomic, molecular, imaging, text and other medical research, clinical, and administrative data in the context of precision medicine. The workshop will consist of diverse talks along with discussions about current problems, tools and techniques for engineering, sharing, fusing, analysing and managing the quality of heterogeneous biomedical data, and how these solutions may be applied to the challenges as well as future needs of research and applications in precision medicine.

Topics of Interest

The workshop will be focused on, but not limited to, the following broad themes:

  • Scalable algorithms, tools, and techniques for the engineering of data in molecular biology, genomics, medical imaging, clinical and administrative operations, and medical sciences,
  • Practical approaches for the secure and privacy-preserving management and sharing of diverse and heterogeneous biomedical data, including data de-identification, methods for distributed data analysis and synthetic data generation,
  • Specialized algorithms for efficient storage and delivery of precision medicine data products,
  • Machine learning and artificial intelligence-enabled engineering, cleaning, curation, fusion and quality control of data for precision medicine,
  • Workflows and pipelines for life science data engineering,
  • High performance computing methods and software for the derivation of biomedical data products, and
  • Software and hardware foundations for managing Big Data in biomedical informatics.

Cross-cutting and interdisciplinary papers spanning different disciplines of computer science (e.g. AI, VR, bioinformatics) or other relevant disciplines (e.g. medicine, molecular biology) as well as application-oriented papers (e.g. techniques for engineering heterogeneous datasets) and case studies (e.g. discoveries of new treatment options) are especially welcome.

In addition to regular papers catering to the above spectrum of topics, we also invite “position papers” which highlight some of the grand challenges, scientific problems or a vision, along with related challenges and advances.

The workshop is devoted to addressing some of the grand challenges in data engineering, and promoting the highest standards in research and education. As a part of this mission, the DEPM workshop will feature thematic keynote presentations by recognized leaders and luminaries who continue to significantly advance the domain.

Important Dates

  • January 15, 2018 February 2, 2018: Electronic papers due
  • February 15, 2018 February 21, 2018: Notification of acceptance or rejection
  • March 1, 2018: Camera-ready copy due
  • April 16, 2018: Workshop

Submission Instructions

Authors are invited to submit original, unpublished papers that are not currently being considered for publication elsewhere. Long papers submitted must not exceed twelve (12) pages and short papers must not exceed six (6) pages, including the bibliography and any appendix. All accepted papers will be publishing jointly with the ICDE conference proceedings through IEEE Xplore.

Please submit manuscripts electronically as PDF files formatted according to the IEEE guidelines through the workshop’s submission site.

Templates can be found here:
– LaTeX users, please download this file.
– Word users, please download this file.


Edmon Begoli, PhD, Chief Data Architect, Oak Ridge National Laboratory
begolie@ornl.gov, +1.865.576.0599

Geraldine Van der Auwera, PhD, VP for Publicity and Communications, Data Engineering Group Leader, Broad Institute of MIT and Harvard

Fabian Prasser, PhD, Intitute of Medical Informatics, Statistics and Epidemiology, University Hospital rechts der Isar, Technical University of Munich (TUM)