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Research group

Data engineering, science og systems (DESS)

The group advances value creation from data by conducting high-quality research in data engineering, data science, and data systems.

Research group

Data engineering, science og systems (DESS)

The group advances value creation from data by conducting high-quality research in data engineering, data science, and data systems.

Research 

Key research areas 

The DESS research group targets the following overall challenges:

  • Efficient and effective analytics, including query processing, data mining, and machine learning for temporal, spatio-temporal, and time-series data, enabling value creation in a broad range of domains, including transportation, Internet of Things (IoT), and digital energy
  • Big data analytics, including data warehousing, OLAP, and data mining for multidimensional and time series data, enabling value creation in, e.g., intelligent energy applications.

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Education 

Study related activities 

The DESS staff teaches 15-20courses, including data management, and third semester M.Sc. specialization courses.

Furthermore,we are involved in the Bachelor’s and Master’s programmes in data science and organize PhD courses in data management and machine learning.

Collaboration  

Who benefits from the research 

Our research benefits most directly companies and organizations that manage temporal, spatio-temporal, and time-series data, but also graph, textual, heterogenous, and energy data. This includes companies and organizations - often within transportation, IoT, and digital energy - that work with location-based services, travel-time information, green accounting, and control of energy usage.

External partners 

Bring Logistik AB, EWII, FlexDanmark, IBM Research Ireland, IT Universitetet, Nanyang Technological University, TU Dresden, University of Zurich and Zhejiang University.

Key Projects 

DIREC

National Centre for Research in Digital Technologies aims to expand the capacity within research and education in Denmark.

OPTITRUCK

The project focuses on fuel savings in +40-ton trucks.

DEDS - DATA ENGINEERING FOR DATA SCIENCE

Joint PhD education focusing on research in methods and tools for big data analytics

FED - flexible energy denmark

The project is targeting a more costeffective green transition through intensive use of data.

A data-intensive paradigm for dynamic, uncertain networks

Data analytics and machine learning on massive trajectory data for greener and more efficient transportation.

Contact

information
Christian S. Jensen, Professor
csj@cs.aau.dk
Torben Bach Pedersen, Professor
9940 9798
tbp@cs.aau.dk
Bin Yang, Professor
mailto:byang@cs.aau.dk
Kristian Torp, Professor
mailto:torp@cs.aau.dk
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Read about more research groups

At the faculty, we have more than 30 research groups and sections with internationally recognized researchers who work in the areas of: planning, digitization, autonomous systems, communication and human touch.

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