Dr Nixon is an Associate Professor in the School of Applied Data Science as well as CTO at Modul Technology GmbH.

Currently he is project co-ordinator in AI-CENTIVE, which is incentivizing sustainable mobility behaviour in Austria, as well as contributing to SDG-HUB, building a comprehensive repository of SDG related communication in Austria, and TRANSMIXR, using Web and social media intelligence to identify topics and suggest digital content for immersive experiences (XR). He was project coordinator of the EU Horizon 2020 project ReTV (www.retv-project.eu), which developed tools to help media organisations to optimally select and repurpose their media assets for digital marketing. He led research in predicting future trending topics among online audiences and recommending relevant future events to target in online marketing. He also coordinated the FFG project EPOCH (extracting and predicting events from online communication; www.epoch-project.eu) and participated in the BMVIT project EcoMove (prediction of urban mobility bottlenecks; www.ecomove.at) and the FFG project GENTIO (prediction of future communication success of online publications; www.gentio.eu).

His research interests cover the visual classification of photography to automatically extract the touristic destination image from social networks such as Instagram; the use of deep learning for predictive analytics in open domains such as predicting the next trending topic in online channels; the extraction and modelling of knowledge, e.g. about events, in graph structures and their combination with neural networks to improve computational understanding of the world.