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The Artificial Intelligence Group (AI@IISc) is a group of faculty members and students at the Indian Institute of Science in Bangalore, who share interests in the broad areas of artificial intelligence, machine learning, and data science. The faculty members of the group are engaged in cutting-edge research on a rich variety of topics ranging from theoretical foundations to new algorithms and architectures as well as several exciting applications. Highly motivated Doctoral and Masters’ research students complement and expand the energy of the faculty members. The group has initiated partnerships with a host of global industries and industrial research laboratories.

Further details on AI@IISc activities can be found by following the links above.

Research and Innovation Highlights

CoviHawkes: An AI tool for Covid-19

- Ambedkar Dukkipati

In the last one and a half years, more than…

A Vapnik’s Imperative to Unsupervised Domain Adaptation

- Ambedkar Dukkipati, CSA

The success of deep neural networks, in the advancement of…

Advanced Healthcare Technologies

- Hardik J. Pandya, ESE

The research group at BEES Lab, DESE, is developing advanced…

Optimal Algorithms for Statistical Inference and Learning under Information Constraints

- Himanshu Tyagi, ECE

Classical statistics assumes that data samples are available in their…

Uniqueness of rigid point-cloud registration

- Kunal N Chaudhury, EE

A necessary and sufficient condition for uniquely registering a system…

Semi-Supervised Cross-Modal Retrieval With Label Prediction

- Soma Biswas, EE

Cross-modal retrieval with image-text, sketch-image, etc. are gaining increasing importance…

Deep Unsupervised Speech Representation Learning

- Sriram Ganapathy, EE

The performance of speech systems is degraded in the presence…

Can a Machine Learn Charge Density Waves?

- Santanu Mahapatra, ESE

Charge density wave (CDW) is a quantum mechanical phenomenon, which…

Neuromorphic CMOS-MoS2 based hybrid system for low power edge-computing

- Chetan Singh Thakur, ESE

The brain is an ideal template for next-generation computing architectures.…

Teaching A GAN what not to learn

- Chandra Sekhar Seelamantula , EE

Semi-supervised generative adversarial networks (GANs) consist of neural networks tasked…

AI-driven XraySetu for early-Covid interventions over WhatsApp

- Chiranjib Bhattacharyya, CSA

The project was started by Dr. Geetha Manjunath of Niramai…

Reward Biased Maximum Likelihood Estimate Approach to Online Machine Learning

- Rahul Singh, ECE

We revisit the Reward Biased Maximum Likelihood Estimate (RBMLE) algorithm…

Estimating the COVID-19 burden in Karnataka

- Rajesh Sundaresan, ECE

This work, a Karnataka-wide COVID-19 serological survey, provided a wealth…

No reference video quality assessment

- Rajiv Soundararajan, ECE

We consider the problem of robust no reference (NR) video…

Ballooning Multi-Armed Bandits

- Y. Narahari, CSA

Online platforms such as Q&A forums (e.g. StackExchange, Reddit) receive…

Machine Learning with Comparisons

- Aditya Gopalan, ECE

Together with graduate student Aadirupa Saha at IISc, Aditya Gopalan’s…

Multiclass- SVM Relay for Microgrid Protection

- Jayachandra Shenoy, EE

Our approach to microgrid protection in this paper uses a…

Robust Quadrupedal Locomotion

- Shishir Kolathaya, CSA

In this work, with a view toward fast deployment of…

Unsupervised Deep Architectures for Attributed Network Embedding

- M. Narasimha Murty, CSA

Outliers can have an adverse effect on the embeddings of…

Instructing Robots through gestures, text and speech

- Bharadwaj Amrutur, ECE

We are exploring the use of gestures and natural language…

AI/ML for Next Generation Communication Systems

- Chandra R. Murthy

We are investigating the use of AI/ML techniques for communications…

Modelling vehicle dynamics using Indian road traffic videos

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Deep Neural Networks were employed to identify different vehicles in…

Neural programming and program analysis

- Aditya Kanade, Shirish Shevade

Automatically synthesising programs and analysing their behaviour is considered a…

Network Consistent Data Association

- Anirban Chakraborty

Existing data association techniques mostly focus on matching pairs of…

Fairness in an Algorithmic World

- Siddharth Barman

Siddharth’s recent work considers fairness from a computation lens. For…

Using Statistical Mechanics to understand depth in Deep Networks

- Chiranjib Bhattacharyya

Understanding the representational power of Restricted Boltzmann Machines (RBMs) with…

Cross-Modal Retrieval

- Soma Biswas

Due to increase in the number of sources of data,…

Task agnostic Universal Adversarial Perturbations

- Mopuri Reddy, Aditya Ganeshan and R. Venkatesh Babu

Machine learning models are susceptible to adversarial perturbations: small changes…

Symmetry in Scalar Fields

- Vijay Natarajan

Automatic detection of symmetry is a challenging problem because both…