Dr Angesh Anupam

Lecturer in Data Science

Department: Department of Computer Science

Office/Location: Cardiff School of Technologies, Llandaff Campus

Telephone:  

Email: AAnupam@cardiffmet.ac.uk

Staff Profile Overview

​Dr Angesh Anupam is a data scientist having interdisciplinary research experience since 2014. Prior to joining Cardiff Met in 2020, Dr Anupam worked as a full time academic in Norway where he was responsible for curriculum design, teaching, research, and consultancy in applied data science. He was born in India, moved to the UK in 2013 for his Masters degree from the Faculty of Engineering, the University of Sheffield (UoS). In 2014, he was awarded a PhD studentship by the Grantham Centre for Sustainable Futures, UoS for doing his PhD research in Dynamical Systems Modelling. He has delivered research talks at many international conferences, including United Nations Conference on Climate Change.

Teaching

Module leader:

  • CIS7030 – Geospatial Analysis 
  • CIS5026 – Applied Data Science

Supervision of MSc project students – topics related to a wide range of applications of data science.

In the past, developed and taught various modules in data science. Such as machine learning, big data analytics, Python for data science etc.

Research

Research interests:

  • Data driven modelling of nonlinear dynamical systems
  • Time series modelling and forecasting
  • Big data analysis


Recent research projects:

  • Modelling and simulation of Norwegian airport passenger traffic
  • Modelling and analysis of Amazon vegetation under climate change
  • Modelling of global tropical wetlands 
  • Assessment of sustainable land management and food production in the UK using process driven models

Key Publications

Anupam, A., 2019, November. NARX model identification for analysing Amazon vegetation under climate change. In Proceedings of the International Conference on Advanced Information Science and System (pp. 1-7).

Anupam, A., Wilton, D.J., Anderson, S.R. and Kadirkamanathan, V., 2018, September. A data-driven framework for identifying tropical wetland model. In 2018 UKACC 12th International Conference on Control (CONTROL) (pp. 242-247). IEEE.

Other Projects and activities

Project Leader, Machine learning based runoff prediction modelling (Jan 19 – Dec 19) - Led a research consultancy project for a hydropower company, Agder Energi Norway. Designed a set of machine learning based predictive models, corresponding to sample catchments, for forecasting extreme weather variables at the local level.

Consultant, Big data-driven public administration (Jan 19 – Sep 20) - This was a consultancy project offered by the Ministry of Interior, Czech Republic and run by a group of Norwegian academic institutions. The project dealt with efficient analysis of the mobile positioning data related to everyday mobility of citizens.

External Links