I am a postdoc researcher at the Center for Applied Autonomous Sensor Systems (AASS), Örebro University, from where I also received my PhD in 2018, with a research topic in using semantic representations in data2text frameworks.

My research is about bridging the inferred numerical information (e.g., via machine learning models) to the human-understandable descriptions. My research interests include knowledge representation (i.e., conceptual spaces), machine learning, explainable AI, and natural language generation (NLG). In particular, my research activity is focused on studying a data-driven approach to creating semantic models for numeric data. This model is then utilised for generating natural language text. Since 2018, I have been working on a couple of research areas wherein the aim is to analyse the streams of data and infer meaningful information. Currently, I am involved in a project called Campus.AI wherein for a network of sensors, I am working on the analysis of multi-channel data recordings to first detect the patterns, trends and changes in the data, and then present this information in natural language.