Current Research


Cost-Effective Air Quality Monitoring with Decision Support

(Funded by Mphasis Labs at Ashoka and 3CS) PI: Anirban Mondal (Ashoka University, India); Girish Agrawal (O.P. Jindal Global University) and P. Krishna Reddy, Professor, IIIT Hyderabad The goal of this project is to provide a visual tool both for the public, and for administrators and planners charged with improving air quality. The tool will...
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Privacy and Security in large public service applications

Governments around the world – and  India in particular – are trying to build large data registries for effective delivery of a variety of public services. However, these efforts are often undermined due to serious concerns over privacy risks associated with collection and processing of personally identifiable information. While a rich set of special- purpose...
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Electronic voting

India’s parliamentary election is the largest in the world, with 543 constituencies and well over 1 million voters per constituency on the average, and voting is conducted electronically since 2004. However, there is considerable doubt about the integrity of both the Electronic Voting Machine (EVM) used by the Election Commission of India (ECI) and the...
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Computational radiology

In collaboration with the radiology group at AIIMS, New Delhi, we investigate improved detection of breast cancer from mammograms in situations where the presentation is obscure and difficult. We also investigate using other auxiliary information to improve the accuracy of detection. In a one-off problem, we also addressed detection of Covid from chest X-Ray in...
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Neurosurgery simulation

We have an ongoing collaboration with AIIMS where we study and build simulators for neuroendoscopy skills training. A Review of Physical Simulators for Neuroendoscopy Skills Training. Britty Baby, Ramandeep Singh, Rajdeep Singh, Ashish Suri, Chetan Arora, Subodh Kumar, Prem Kumar Kalra, Subhashis Banerjee.  World Neurosurgery, 137:398-407, May 2020. A review of virtual reality simulators for...
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COLOURS: A Cognition-enabled information system for personalized touristic experiences in India

(Funded by Technology Innovation Hub, IIIT Delhi) PI: Anirban Mondal (Ashoka University, India); Co-PIs: Mukesh Mohania (IIIT Delhi, India) and Ladjel Bellatreche (ENSMA, Poitiers, France) COLOURS is a personalized cognitive computing and social sensing based tourist assistance information system for creating a highly enhanced and immersive tourism experience in India. COLOURS collects hyperlocal information from...
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Financial Analytics on 10K reports/annual reports and social media

The goal of this FinTech project is to understand the financial health of firms by effectively analyzing the data from multiple sources such as 10K reports/annual reports and social media. In particular, we examine the data from the four key financial statements (Balance Sheet, Income Statement, Statement of Cash Flow and Statement of Equity) and...
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An Urgency-Aware and Revenue-Based Itemset Placement Framework for Retail Stores

Placement of items on the shelf space of retail stores signifcantly impacts the revenue of the retailer. Given the prevalence and popularity of medium-to-large-size retail stores, several research efforts have been made towards facilitating item/itemset placement in retail stores for improving retailer revenue. However, they do not consider the issue of urgency of sale of individual items....
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A Flexible and Efficient Indexing Scheme for Placement of Top-Utility Itemsets for Different Slot Sizes

Utility mining has been emerging as an important area in data mining. While existing works on utility mining have primarily focused on the problem of finding high-utility itemsets from transactional databases, they implicitly assume that each item occupies only one slot. However, in many real-world scenarios, the number of slots consumed by different items typically...
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Intelligent Radar Systems

Can we use modern deep learning methods, to avoid the use of expensive hardware and computationally-expensive signal processing methods for object detection? One can train models on mini-Doppler maps, collected via software defined radios. One crucial idea is to try and operate in less crowded frequency ranges like 433 MHz, allowing us to use inexpensive...
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