Data Science Center for Smart Services

About DSCS

Many research areas increasingly investigate innovative questions that try to leverage large amounts of data. This includes areas, such as healthcare, material sciences, physics, economics and many more. Currently research groups build and maintain their own data science infrastructures, train stundents on various levels in innovative methods of statistical learning, and set up research projects accordingly. In general but also in particular for groups at Saarland University, this process is slow, error-prone, and expensive.
The Data science Center for Smart Services (DSCS) starts with with the goal of becoming a core facility for research groups at Saarland University that investigate research from a data science perspective. DSCS intends to provide an open platform for rapidly building data-intensive applications (Smart Services). The software platform for data processing uses leading Open Source Software solutions, such as Apache Spark and Apache Flink.



Wolfgang Maaß

Saarland University

Wolfgang Maaß is full professor and chair for Information and Service Systems (ISS), department of Law and Economics, Saarland University, Germany. He is scientific director at the German Research Center for Artificial Intelligence (DFKI). Previously he led a research group for smart products at the Institute of Technology Management (ITEM) at the University of St. Gallen, Switzerland. Wolfgang Maaß was university lecturer at the University of St. Gallen and professor of media and computer science at Furtwangen University. He studied Computer Science at the RWTH Aachen and the Saarland University. His PhD in Computer Science at the Saarland University was funded by the German National Science Foundation (DFG). End of 2007 he was awarded with a habilitation by the Department of Management at the University of St. Gallen, Switzerland. He was guest researcher at the National Center for Geographic Information and Analysis (NCGIA), UC Santa Barbara, CA, USA and guest professor at the Department of Bioinformatics and Computational Biology (MD Anderson Cancer Center), University of Texas, TX, USA. Beside his research activities, he worked as a consultant for international Diebold Management Consulting and was CEO of a start-up company for several years. His field of research is the engineering of smart products and smart services with connections to Internet of Things and Services, data analytics, semantic technologies, design science, and conceptual modeling applied to domains such as healthcare, sports and wellbeing, industrial applications, and farming.

Norbert Graf

Medical Center, Saarland University

Norbert Graf is Professor of Paediatrics and Director of the Clinic for Paediatric Oncology and Haematology and a member of the Faculty of Medicine of the Saarland University, being currently the dean for study affairs. He is the chairman of the Renal Tumour Study Group of the International Society of Paediatric Oncology (SIOP-RTSG) and the Principal Investigator of the current Trial for Childhood Renal Tumours within SIOP. He is an Associate Member of COG (Children’s Oncology Group, North America) and closely cooperating with the COG Renal Tumor Study Group. Prof. Graf has more than 25 years of experience in running clinical trials. He is a member in many national and international scientific societies and an external reviewer for the Japan Science and Technology Agency (JST) for big data in life science. As the coordinator of p-medicine, an EU funded large integrated project, he tries to pave the way to personalized medicine. He is also a member of the board of the VPH-Institute and participates in different ongoing EU projects (like MyHealthAvatar, CHIC, iManageCancer) with the aim to create new knowledge and decision support services in health care by sharing and joining heterogeneous and multiscale medical data.

Andreas Keller

Medical Center, Saarland University

TODO short CV

Gerhard Weikum

Max-Planck-Institute for Computer Science
Computer Science

Gerhard Weikum is a Scientific Director at the Max Planck Institute for Informatics in Saarbruecken, Germany. His research spans transactional and distributed systems, self-tuning database systems, DB and IR integration, and the automatic construction of knowledge bases. He co-authored a comprehensive textbook on transactional systems, received the VLDB 10-Year Award for his work on automatic DB tuning, and is one of the creators of the YAGO knowledge base. Weikum is an ACM Fellow and a member of acatech, Academia Europaea and the Mainz Academy of Science and Literature. He has served on various editorial boards and as PC chair of conferences like ACM SIGMOD, ICDE and CIDR. He received the ACM SIGMOD Contributions Award in 2011 and an ERC Synergy Grant in 2013.

Jens Dittrich

Department of Comuputer Science, Saarland University
Computer Science

Jens Dittrich is a Full Professor of Computer Science in the area of Databases, Data Management, and Big Data at Saarland University, Germany. Previous affiliations include U Marburg, SAP AG, and ETH Zurich. He is also associated to CISPA (Center for IT- Security, Privacy and Accountability). He is currently the dean of computer science at Saarland University. He received an Outrageous Ideas and Vision Paper Award at CIDR 2011; a BMBF VIP Grant in 2011; a best paper award at VLDB 2014 (the second ever given to an Experiments and Analysis paper); two CS teaching awards in 2011 and 2013; several presentation awards including a qualification for the interdisciplinary German science slam finals in 2012; and three presentation awards at CIDR (2011, 2013, and 2015). He has been a PC member of prestigious international database conferences such as PVLDB/VLDB, SIGMOD, and ICDE. In addition, he has been an area chair at PVLDB, a group leader at SIGMOD, and an associate editor at VLDBJ.
His research focuses on fast access to big data including in particular: data analytics on large datasets, main-memory databases, database indexing, and reproducibility (see here).
Since 2013 he has been teaching some of his classes on data management as flipped classrooms (aka inverted classrooms). See here and on YouTube for a list of freely available videos on database technology in German and English (about 80 videos in German and 80 in English so far).


Tim Conrad

FU Berlin und Konrad-Zuse-Zentrum für Informationstechnik Berlin (ZIB)

Tim Conrad is professor for Medical Bioinformatics at Freie Universität Berlin and head of the Forschungscampus MODAL MedLab. Tim studied Computer Science and Bioinformatics in Berlin and Melbourne and received his PhD from the Institute of Mathematics at FU Berlin. His research is focused on the analysis of large biomedical data-sets using statistics, compressed sensing and network science. He is CEO of inbion GmbH and member of board of MODAL AG.

Knut Reinert

FU Berlin and Max Planck Institute for Molecular Genetics

Prof. Dr. Knut Reinert holds the chair of the Algorithms in Bioinformatics group in the institute of Bioinformatics and a Fellow at the MPI for Molecular Genetics. He and his team focus on the development of novel algorithms and data structures for problems in the analysis of biomedical mass data. Previously, Prof. Reinert was at Celera Genomics, where he worked on bioinformatics algorithms and software for the Human Genome Project, which assembled the very first human genome.


Mayur Bhamborae

Saarland University
Research associate

TODO short CV

Semih Korkmaz

Saarland University
Research associate

TODO short CV

Iaroslav Shcherbatyi

Saarland University
Research associate

TODO short CV


Data Analysis for Athlete Recovery

(in cooperation with Prof. Tim Meyer, PD Anne Hecksteden)

In this study recovery of athletes is measured in the field with various mobile sensor systems. In particular we focus on heart rate recovery and sleep behavior after training sessions. This extends traditional research in sports medicine by analyzing data not only in short periods (3-5 mins) after standardized all-out exercises but over long periods (many hours) including sleep. Subjects are swimmers and triathletes from the elite teams of the State of Saarland, including Olympic athletes and national champions.

Data is collected via high-quality sensors (Nexus-10 and Scosche Rhythm+) and apps on mobile devices (SONY Smartwatch 3, Android-based smartphones). Data is locally analyzed by mobile apps and fed back into Smart Sports Services to the athlete. Additionally data is transferred to the Data Science Center for Smart Services (DSCS) for in-depth data analysis with advanced machine learning methods. Trained and tested models are fed back into mobile Smart Sports Services for improving service adaptation.

This on-going study is supported by SONY (Japan) and Scosche (USA). Results will be published soon.

Special thanks to all athletes and their coaches Christian Weimer and Hannes Vitense.

Smart Training Recovery

TODO project leader

TODO short project description