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 technical aspects of business software and the integration of different software systems to meet customer requirements. This involves studying the conceptual and technological aspects of in-memory databases, design principles, and programming methods for enterprise applications.

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.

Here you can find all the publications made by our research group.

Research Areas

In-Memory Data Management for Enterprise Systems

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.

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.

In-Memory Data Management for Life Sciences

In addition to our research activities in the field of " In-Memory Enterprise Data Management", our group focuses on applying in-memory technology to further fields. For example, the volume of scientific data typically exceeds all requirements of data sets used in traditional enterprises.
Building on our long-lasting experience in applying in-memory technology to selected enterprise challenges, we also want to improve processing and analyzing of large scientific data sets in real-time. As a result, the dedicated research area "In-Memory Data Management for Life Sciences" focuses on this type of special research challenges.

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

11.05.2017 | Olelo published in NAR

Olelo published in NAR. Our biomedical question answering system Olelo has just been published in … > more

23.03.2017 | HPI Gesundheitscloud featured in SAP News

SAP News reports about the project "Gesundheitscloud" which is developed in our group. Read the … > more

10.03.2017 | Graduation of Stephan von Schorlemer

The staff of the EPIC chair congratulates Dr. Stephan von Schorlemer to successfully defending his … > more

23.01.2017 | GTI Student Teams go to Silicon Valley

GTI Design Teams go to Silicon Valley. At the start of the new year ten HPI students set off for … > 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.