Research


Research at ISIN follows primarily three scientific directions: human-computer interaction and communication systems; data analysis, processing, and cybersecurity; multimedia and educational technologies.

ISIN professionals leverage a substantial core strength in a wide array of topics, including programming languages, development frameworks and tools, software architectures, development paradigms and methodologies, operating systems, databases and storage systems, data mining, computer graphics, networking architectures and protocols.

Human-Computer Interaction and Communication Systems

Today, the Internet is accessed by advanced human-machine and machine-machine interfaces provided on computers and smart devices. Users and things perform pervasive forms of communication, where everything can talk to everything else.

Humans are part of complex systems integrating sensors, actuators, and infrastructure in a wide range of application fields ranging from smart living to smart industry.

ISIN’s expertise includes: human-computer and computer-computer interfaces, distributed and polymorphic user interfaces, natural language processing, smart sensing frameworks (wearables), IoT and mobile application development, wireless technologies, wireless sensor networks, pervasive computing, cyber physical systems for smart homes/cities/regions, social media/networks, cognitive and semantic systems, behavioral analysis.

Research areas in this scientific direction are:

Data Analysis, Processing, and Cybersecurity

The value of data is continuously growing in our information society. Structured and unstructured data from heterogeneous sources must be safely collected, stored, and processed for value extraction.

Exposure to hacking attacks and sabotage resulting in data loss and data breaches must be avoided at all costs.

ISIN’s expertise includes: cloud native applications and cloud APIs, micro-service architectures, web technologies, big data analytics, data visualization techniques, distributed and parallel computing, distributed ledger technologies (blockchain), cybersecurity, privacy, and data protection technologies.

Research areas in this scientific direction are:

Multimedia and Educational Technologies.

Today’s advanced multimedia technologies can leverage high-definition audio-visual content, while solutions or virtual and mixed reality allow users to experience new artificial dimensions that coexist with our real world.

Audio, video, and immersive multimedia applications enhance our experience in many sectors from entertainment to manufacturing to education.

ISIN’s expertise includes: development of applications for digital signal processors and systems on chip, digital signal processing techniques, GPU computing, audio/video streaming and processing, computer vision, software infrastructures for scientific simulation, virtual/augmented/mixed reality, 3Daudio systems, serious and educational digital gaming, educational and training technologies, and open data.

Research areas in this scientific direction are:

Contacts
st.wwwsupsi@supsi.ch