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.

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.

Research Areas

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 profiting from hybrid transactional and analytical data processing and computational statistics. In customer-centered enterprise software development, the focus is on the end users. Developing solutions tailored to user needs in a timely manner requires well-designed tools and methods for enterprise systems design and engineering. We apply our findings to real-world scenarios and showcase future enterprise applications by developing and evaluating functional prototypes closely together with our industry partners. One particular domain of interest is the application of in-memory data management in life sciences.

In-Memory Data Management on Modern Hardware

The increase of computing power with new multi core hardware architectures is about to accomplish new breakthroughs in the software industry. It allows for significant parallelization of application processes with new data management paradigms, as well as in-memory, real-time analytics over massive amounts of data.

Concepts of Modern Enterprise Applications

Industry trends such as smart devices (IoT), natural language processing, and machine learning on big data place high demand on modern enterprise systems, but also create tons of new opportunities. Our research aims at effective methods and algorithms to extract business-relevant insights from raw data and is demonstrated by proof-of-concept prototypes built in close collaboration with our industry partners.

Tools & Methods for Enterprise Systems Design and Engineering

In a business context, a designed product or service is often the most direct channel of communication to the end-user. A good or bad design has an undeniable impact on branding. In effect, design becomes a proxy for the company, where the feeling and emotions that an end-user experiences with what is designed becomes the feelings and emotions that the end-user has for the company.

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

25.02.2019 | Best Paper Award received at ICORES 2019

We are happy to announce that the paper "Stochastic Dynamic Pricing with Strategic Customers and … > more

19.02.2019 | Four Papers accepted at ICDE 2019

At this year's ICDE (IEEE International Conference on Data Engineering) conference in Macao (8-12 … > more

20.12.2018 | Paper accepted at EDBT 2019

Our systems paper "Hyrise Re-engineered: An Extensible Database System for Research in Relational … > more

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

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.