Dr Maitreyee Dey

I am a Post-doctoral research fellow in the Department of Electrical and Electronics Engineering, London South Bank University and hold the post of Data Mining Lead of Neuville Grid Data Management Limited. I am working on Solar farm data analysis using machine learning and data mining methods for the Access to Innovation (A2i) and Low Carbon London (LCLDN) project funded by the EU commission through its regional development Fund in collaboration with London South Bank University and Neuville Grid Data Management Limited.

My expertise falls in the pivotal area of machine learning/artificial intelligence and low carbon technologies, crucial areas where the UK can lead in the sustainability of the world energy and automation systems. My other research interest includes pattern recognition, big data analysis, deep learning, image processing, energy optimization in smart buildings, renewable energy technology, and Computer-aided Diagnosis using Machine Learning/AI for smart health.
I have more than 30 publications including high-impact journals, conferences, book chapters, and patent. Also, in 2020 I won Best Paper Award at the CUE conference, Elsevier.
I am endorsed by the Royal Academy of Engineering. I am an active member of IEEE, CIGRE NGN member, Energy Institute and many more. Additionally, I am serving as an Editorial board member in MDPI journals, and an Adhoc reviewer in many high-impact journals including, IEEE transactions, Nature Scientific Data, and many more

Post-doctoral researcher

Matlab, Machine learning, POC, Digital electronics