Research – Projects

Research Fields
Application Areas


Since its founding in 1993, the TECO research group has been directing a multitude of projects across a wide range of research topics which can be divided into three broader Research Fields: Analytics, Human-Computer Interaction, and Sensors and Systems.

With partners from relevant industry sectors and the core idea to tie research and industry closer together, all of these projects are tightly linked to one or multiple Application Areas, most importantly Big Data, the Internet of Things & Industry 4.0, Mobile & Wearable Computing, and Smart Cities.

With the rise of Ubiquitous Computing, computers and therefore sensors have become omnipresent in our daily life. Likewise, Industry 4.0 strategies have introduced sensors in the supply chain and production processes. The TECO research group develops and analyses improvements in how these sensors collect information, connect with each other, and interchange and process data to enable innovative processes throughout society in business, Smart City, industrial and private settings.

Other projects study how people interact with electronic devices and which tools can assist individuals or teams in different environments to benefit from technological advancement. Finding new forms of preparing and conveying information by using Augmented Reality or special feedback methods suited for particular contexts is essential to maximize the efficiency and usability of these computer systems.

Read more

Research Fields
Application Areas

Filter

Display projects in and

SmartAQnet

Overview image of project "SmarAQnet"

Air quality and the associated subjective and health-related quality of life are among the important topics of our time. However, it is very difficult for many cities to take measures that to accommodate today’s needs concerning e.g. mobility, housing and work, because a consistent data base with fine-granular data and information on causal chains is more…

SDI-X: Smart Data Innovation processes, tools and operational concepts

The BMBF-funded project Smart Data Innovation processes, tools and operational concepts (SDI-X) researches appropriate tools and best practices to not only facilitate extensive data analysis projects between different research and industry partners, but also enable their prompt implementation. The project is one of the publicly-funded pillars that support the operation of the SDIL and as more…

Smart Data Solutions for SMEs in Baden-Württemberg

Besides the BMBF-funded Project SDI-X this project is the second pillar of the state support of the SDIL. The project is funded by the Ministry of science, research and art Baden-Württemberg (MWK) as part of the Smart Data Solution Center Baden-Württemberg (SDSC-BW) to explore the use of suitable smart data technologies for SMEs. more…

GPU + In-Memory Data Management for Big Data Analytics

In this project, we develop a tool chain based on In-Memory Data Management and Parallel Data Processing in GPU using CUDA for large and intensive Smart Meter analytics.

Tags:

SDIL – Smart Data Innovation Lab

Description The Smart Data Innovation Lab (SDIL) is a German nationwide research initiative from the Work Group 6 of national IT Summit The SDIL has been launched by national politics and IT industry on 8th January, 2014 at the Karlsruhe Institute of Technology (KIT). The goal of the SDIL is more…

Tags: , ,

Software Campus: PreTIGA

The Software Campus project PreTIGA is about optimizing player experience in game environments based on a generalizable model. The objectives are to build a game model generalizable to diverse game environments as a foundation to predict situations of interest like a decrease in fun or the drop-out of players and to proactively prevent such situation. more…

Tags: ,

Software Campus: Data Driven Decision Recommendation for Administrative Bodies Based on Collective Intelligence

The enormous amount of data created by people using every day mobile devices with increasingly sensing capabilities, such as image, location and other data, has led to the establishment of a new crowdsourcing concept called Participatory Sensing. It describes people voluntarily sensing their local environment and sharing this data using mobile phones and the web, more…

Tags: ,

AR Sensors

Servicing the factory of the future raises challenges for the service teams and organizations. The industrial plant environment is changing rapidly due to the impact of the market and new autonomously operating information technologies such as on site information and communication services, an Internet of Things (IoT), smart sensors and intelligent automation devices as well more…