New technologies and framework conditions have triggered a trend away from standard applications and towards mobile and personalised solutions, both in the field of government, science and the economy, as well as the private sphere. The researchers at the Institute of Internet Technologies and Applications use various technological and interdisciplinary approaches to meet these challenges.
Smartphones, tablets and social networks have changed end user behaviour and their activities online. Most Austrian companies, particularly small and medium-sized enterprises, have designed their IT infrastructure and processes around the traditional stand-alone PC plus standard (web) applications and are not yet optimally equipped to meet the demands of today's mobile (working) world.
The Department of Applied Computer Sciences cooperates with companies, public authorities and research institutions to generate technological expertise, offer technology consulting, and provide support in adapting secure and mobile IT infrastructures in order to implement modern and innovative e-business and m-commerce models for mobile customers and employees.
Smart Health Care an Wearables
Increased networking via the so-called Internet of Things, including smartphones, tablets and wearables, presents a huge opportunity for the health and social sector. Ever smaller and cheaper sensors, as well as smart applications based on artificial intelligence, provide the technological basis for efficient and high-quality diagnostic and therapeutic processes.
Increasing life expectancy, medical and technological advances, and growing patient and citizen expectations drive developments in the health and social services sector. New information and communications technologies allow existing processes to be analysed and optimised for use in new technologies. For example, important vital parameters such as blood pressure, body temperature, pulse rate and medication can be recorded automatically, or at least semi-automatically, while standardised data capture interfaces are expected to lead to improvements in data quality.
Artificial intelligence processes, such as neural networks, pattern recognition, fuzzy logic and decision support, can be programmed to work on mobile end devices and, when combined with biosensors and wireless data transfer via RFID, Bluetooth or WLAN, can be used to create smart applications in healthcare.