Research Themes
Attention Mechanisms in Deep Neural Networks
Recently the Deep Learning community has shown great interest in attention mechanisms to train neural networks - the network pays attention to only certain …
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Domain Agnostic Methods for Integration of Prior Knowledge in Learning Algorithms
While data analysis tools are used across various problem areas, the question of importance of domain knowledge in improving the performance of these algorithms …
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Financial Analytics
There is an active collaboration between the faculty and financial service providers who work in previously underserved areas. Research is being actively …
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Learning With Limited and Partial Data
When data science solutions are deployed in practice, seldom do the conditions on the ground match the theoretical assumptions of the algorithms. In this …
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Manufacturing Analytics
Traditionally, manufacturing facilities (particularly chemical manufacturing) have been in the forefront in terms of using advanced computational techniques in …
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Network Representation Learning
Learning deep representations from raw input data has revolutionised the field of Machine Learning in the past few years. While deep representation learning has …
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Safety and Stability Preserving Reinforcement Learning
While reinforcement algorithms have achieved notable successes recently, the use of such approaches in controlling real physical systems is not really …
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Smart Cities
The centre carries out research in many aspects of Smart Cities. We work closely with the Centre of Excellence in Urban Transportation in developing solutions …
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Systems Biology and Health Care
In the domain of systems biology, the centre functions closely with the Initiative for Biological Systems Engineering (IBSE). We work primarily on cancer …
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