Research that moves from theory to impact
We believe in conducting research that not only advances the frontiers of knowledge but also has tangible impact on society. Our interdisciplinary approach brings together experts from diverse fields to tackle complex real-world challenges.
- Interdisciplinary teams spanning AI, engineering, and the sciences
- Strong balance between foundational breakthroughs and deployable systems
- Ethics-forward mindset across every centre and lab
Research Pillars
We bring balance across foundational ideas, applied systems, and ethics-first thinking to keep our research rigorous and relevant.
Fundamental AI Research
Advancing the theoretical foundations of artificial intelligence and machine learning.
Applied AI Solutions
Developing AI applications for healthcare, finance, agriculture, and social good.
Responsible AI
Ensuring AI systems are fair, transparent, and beneficial for all of humanity.
Fundamental Research
Our fundamental research advances the theoretical foundations of artificial intelligence, machine learning, and data science, pushing the boundaries of what's possible.
Network Analytics & Graphical Models
Responsible AI
Reinforcement Learning & Multi-armed Bandits
Deep Learning
Applied Research & Application Areas
Our applied research translates theoretical advances into real-world solutions across diverse domains, creating meaningful impact for society.
Healthcare
Agriculture
Smart Cities & Transportation
Financial Analytics
Manufacturing
Energy & Environment
Defence
Education
Systems Biology
Research Themes
Explore our fundamental and applied research themes, and filter by focus areas that matter to you.
Fundamental
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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Fundamental
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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Applied
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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Fundamental
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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Applied
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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Fundamental
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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Fundamental
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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Applied
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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Applied
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 …
Explore themeOur Research Centres
The School is home to several world-class research centres, each established as a forerunner in various key areas of AI and data science.
AI4Bharat
Open-source datasets, tools, and models that make Indian languages AI-ready.
AlphaGrep Quantitative Research Lab
AI for quantitative finance: market microstructure, risk, and next-gen trading strategies.
Centre for Integrative Biology and Systems Medicine
AI/ML for clinical and biological data to advance precision and systems medicine.
CeRAI
Standards, policy, and tooling to make AI accountable, explainable, and responsible.
RBCDSAI
Flagship centre spanning networks, RL, NLP, and industrial AI in manufacturing, cities, and health.
The Mint
Mobility digital infrastructure and R&D to accelerate sustainable, multimodal transport.
Walmart Centre for Tech Excellence
AI and IoT solutions to modernize MSMEs and drive efficient, sustainable growth.