Profile
Prof Gehan AMARATUNGA
Co-Principal Investigator
Prof Amaratunga is Professor of Electrical Engineering at University of Cambridge and heads the Electronics, Power and Energy Conversion research grouping. His research is in the broad area of materials and technologies for electrical energy and power. It intersects electrical and electronic engineering with chemistry, physics, materials science and information systems. He has published over 550 archived journal and conference papers in these topics ( >13,000 citations, H-index 65).
Prof Amaratunga is also the co-founder of five start-up companies which have collectively raised more than S$150M in investment. Two of these have successfully commercialised products in the global market and been acquired by their competitors.
Prof Amaratunga was a Co-I on the C4T programme.
Past Members
Past Members
Research Interest
Professor Amaratunga’s research is in the broad area of materials and technologies for electrical energy and power. It intersects electrical and electronic engineering with chemistry, physics, materials science and information systems.
Key Publications
Google Scholar
Biswas, Partha P., P.N. Suganthan, Guohua Wu, and Gehan A.J. Amaratunga. 2019. ‘Parameter Estimation of Solar Cells Using Datasheet Information with the Application of an Adaptive Differential Evolution Algorithm’. Renewable Energy 132 (March): 425–38. https://doi.org/10.1016/j.renene.2018.07.152.
Biswas, Partha, Mallipeddi Rammohan, Suganthan Ponnuthurai, and Amaratunga Gehan. 2017. ‘A Multiobjective Approach for Optimal Placement and Sizing of Distributed Generators and Capacitors in Distribution Network’. Applied Soft Computing, Elsevier 60: 268–80. https://doi.org/10.1016/j.asoc.2017.07.004.
Biswas, Partha, Ponnuthurai N. Suganthan, and Gehan A. J. Amaratunga. 2017. ‘Optimal Power Flow Solutions Incorporating Stochastic Wind and Solar Power’. Energy Conversion and Management, Elsevier 148 (July): 1194–1207. https://doi.org/10.1016/j.enconman.2017.06.071.
Biswas, Partha, Ponnuthurai N. Suganthan, Rammohan Mallipeddi, and Gehan A. J. Amaratunga. 2017. ‘Optimal Power Flow Solutions Using Differential Evolution Algorithm Integrated with Effective Constraint Handling Techniques’. Engineering Applications of Artificial Intelligence 68 (November): 81–100. https://doi.org/10.1016/j.engappai.2017.10.019.
Qiu, Xueheng, Ye Ren, Ponnuthurai N. Suganthan, and Gehan A. J. Amaratunga. 2017. ‘Empirical Mode Decomposition Based Ensemble Deep Learning for Load Demand Time Series Forecasting’. Applied Soft Computing 54: 246–55. https://doi.org/10.1016/j.asoc.2017.01.015.
Ren, Ye, Ponnuthurai N. Suganthan, N. Srikanth, and Gehan A. J. Amaratunga. 2015. ‘Random Vector Functional Link Network for Short-Term Electricity Load Demand Forecasting’. Information Sciences 367–368: 1078–93. https://doi.org/10.1016/j.ins.2015.11.039.
Qiu, Xueheng, Le Zhang, Ye Ren, Ponnuthurai N. Suganthan, and Gehan A. J. Amaratunga. 2014. ‘Ensemble Deep Learning for Regression and Time Series Forecasting’. In 2014 IEEE Symposium on Computational Intelligence in Ensemble Learning (CIEL), 1–6. Orlando, FL: IEEE. https://doi.org/10.1109/CIEL.2014.7015739.