Welcome to the website of the "Enterprise Platform and Integration Concepts" (EPIC) group.
Our activities are focused on the following research topics:

In-Memory Data Management for Enterprise Applications
Human-Centered Software Design and Engineering
In-Memory Data Management for Life Sciences

Our group includes PostDocs, PhD students, and student assistants, and is headed by Prof. Dr. Hasso Plattner. If you are interested in our work or want to join our team, please contact Dr. Matthias Uflacker.

Our team is giving a series of lectures and seminars with a focus on enterprise systems design and in-memory data management. Strong links to the industry ensure a close connection between theory and its implementation in the real world.

Our research focuses on the principles of in-memory data management on modern hardware and the integration of different hard- and software systems to meet business requirements. This involves studying the conceptual and technological aspects of modern enterprise applications as well as tools and methods for enterprise systems design.

We continually strive to translate our research into practical outputs that improve the quality of enterprise applications. A close link to industry partners ensures relevance and impact of our work. Get here an overview of our current and previous projects.

If you are having questions regarding one of our publications, please contact the authors.

Johannes Huegle

Research Assistant, PhD Student

	Phone:	+49 (331) 5509-1320
	Fax:	+49 (331) 5509-579
	Email:	johannes.huegle(at)hpi.de
	Room:	V-2.05 (Campus II)
	LinkedIn:
	Xing:	Profile

Research Interests

Causal Inference
Machine Learning
Computational Statistics
Graphical Models
Statistical Hypothesis Testing

Research Project

In the recent years, causality has grown from a nebulous concept into a mathematical theory based on the concept of probabilstic graphical modeling. Nevertheless, the complexity of the theoretical concepts and the requirements of current algorithms hinders the application of causal inference in practise. Therefore, our research project Data-Driven Causal Inference adresses these challenges by improvements in both the application of statistical concepts and the acceleration of hard- and software.

Teaching Activities

Winter Term 2018/19

Master Project: Design and Implementation of a Causal Inference Pipeline

Summer Term 2018

Winter Term 2017/18

Summer Term 2017

Winter Term 2016/17

Education

Master's degree in Mathematics, Heidelberg University, 2017

Main emphasis: statistics and probability theory
Field of application: economics
Thesis: "Asymptotics for Directed Interaction Networks based on Counting Process Theory"

Bachelor's degree in Mathematics, Heidelberg University, 2014

Main emphasis: statistics and probability theory
Field of application: economics
Thesis: "Pricing of Derivatives in the Binomial Model"

Publications

Schmidt, C., Huegle, J., Uflacker, M.: Order-independent constraint-based causal structure learning for gaussian distribution models using GPUs. SSDBM '18 Proceedings of the 30th International Conference on Scientific and Statistical Database Management. p. 19:1--19:10. ACM, New York, NY, USA (2018).

[ BibTeX ] [ Download ]

@inproceedings{schmidt2018orderindependent, address = {New York, NY, USA}, author = {Schmidt, Christopher and Huegle, Johannes and Uflacker, Matthias}, booktitle = {SSDBM '18 Proceedings of the 30th International Conference on Scientific and Statistical Database Management}, keywords = {causal_inference}, pages = {19:1--19:10}, publisher = {ACM}, series = {SSDBM '18}, title = {Order-independent constraint-based causal structure learning for gaussian distribution models using GPUs}, year = 2018 }

Chair of Prof. Hasso Plattner

Contact:

Dr. Matthias Uflacker

Chair Representative

Tel.: +49 (331) 5509-566

E-Mail: matthias.uflacker(at)hpi.de

Office:

Room: V-2.12

Tel.: +49 (331) 5509-560

Fax: +49 (331) 5509-579

E-Mail: office-epic(at)hpi.de

Contact Details

News

16.05.2018 | Top ranks at Fifth BioASQ Challenge

Our NLP team took outstanding 1st and 2nd positions at the Fifth BioASQ Challenge for large-scale … > more

09.05.2018 | Paper accepted at SSDBM 2018

Our paper "Order-Independent Constraint-Based Causal Structure Learning for Gaussian Distribution … > more

09.04.2018 | SORMAS technical paper published in Frontiers in ICT

Our paper "Ebola Outbreak Containment: Real-Time Task and Resource Coordination with SORMAS" … > more

28.02.2018 | Paper accepted at ICDE 2018

Our paper "Hybrid Data Layouts for Tiered HTAP Databases with Pareto-Optimal Data Placements" … > more

28.01.2018 | Best Paper Award received at ICORES'18

We are happy to announce that our paper "Dynamic Pricing Strategies in a Finite Horizon Duopoly … > more

Open Positions

We are accepting applications for Ph.D. and post-doc positions from exceptional candidates
We welcome highly motivated Bachelor and Master students to join our research projects

We are proud to announce " A Course in In-Memory Data Management" by Prof. Dr. h.c. Hasso Plattner. This book is the culmination of six years work of in-memory research. As such, it provides the technical foundation for combined transactional and analytical workloads inside one single database as well as examples of new applications that are now possible given the availability of the new technology. The book is available at Springer.