Intelligent Systems (ISY)

«Ubiquitous provision of smart proactive assistance to humans or organizations by connecting ubiquitous technologies and advanced data analytics in everyday life or emergency settings.»

In 1991, the pioneer Weiser already had the vision of ubiquitous computing where pervasive technologies unobtrusively coexist with humans and support them in smart ways. Even a quarter of a century later, his vision has not come true. Indeed, a major step forward in pervasive technologies is done with modern mobile devices (e.g., smartphones), or IoT devices that can sense and change their and the user’s environment. Those ubiquitous devices also offer access to information and services anywhere and anytime. To approach Weiser’s vision, our research tackles the transformation of ubiquitous devices from reactive systems to unobtrusive proactive assistants acting on the user’s behalf. Addressing the inherently interdisciplinary nature of such proactive systems, the ISY area focuses on three main research areas:

(1) sensing: the collection of data from ubiquitous devices to acquire knowledge from these (un-)structured data (e.g., event log processing, people-centric and environment-centric sensing)

(2) modeling and prediction: the analysis of data and building of models with data mining (including anomaly detection) and machine learning methods (including deep learning and reinforcement learning) to detect and predict various types of contextes and information

(3) intelligent actioning: the interpretation of the outcomes from underlying models to provide unobtrusive beneficial support to the user, and the integration of the user in the loop to adjust the underlying models appropriately (feedback loop)

More details will be provided as soon as they are available.

Dr. Benedikt Schmidt

In case you have any questions, requests, etc. regarding our research, do not hesitate to contact us via spa@tk.tu-darmstadt.de.