51cg

Biography

I am a Lecturer (Assistant Professor) at  in , . I am part of Aberdeen Ageing Well group. I am also a visiting research fellow in the , .

Prior to joining 51cg, I had been a research fellow in various universities:

• I worked with  and  at University of Bristol developing machine learning models to identify potential digital biomarkers on a person living with Parkinson’s disease with IoT and wearable devices.
• I worked with  at Royal Holloway University of London to develop a multi-agent planning system for inspection, maintenance, or exploration in an extreme environment using various autonomous robots.
• I worked with  at University of Oxford to develop probabilistic models for predicting battery health and its remaining useful life on real-world data.
• I received my PhD (2019) from the , with  and , working on statistical machine learning for robot explorations as part of the .

My expertise is in mobile robotics, multimodal learning, data stream and time series analysis. I have applied my expertise to scientific and engineering problems in various fields ranging from service robotics, energy, healthcare, and robots in extreme environments. I am also interested in how new technologies, with machine learning engine, provide real-time efficient services while having to function in highly dynamic and resource-constrained environments.

Internal Memberships

SCNU JI Outreach Officer