SNU Student invited by Alan Turing Institute study group | Shiv Nadar University

SNU Student invited by Alan Turing Institute study group

Research
19 Aug 2019

Siddharth Dixit, a 3rd year Mathematics major with a minor in Computer science was invited among 50 worldwide researchers to participate in the Data Study Group organized by the Alan Turing Institute, UK's national institute for Artificial Intelligence

Siddharth Dixit, a 3rd year Mathematics major with a minor in Computer science was invited among 50 worldwide researchers to participate in the Data Study Group organized by the Alan Turing Institute, UK's national institute for Artificial Intelligence. It was a week long event which was hosted by the Jean Golding Institute at the University of Bristol with an aim of bringing together some of the country’s top talent from data science, artificial intelligence, and wider fields, to analyse real-world data science challenges.

Siddharth was selected based on his proposal on solving Air Pollution in Bristol City Center using Machine Learning and the work he had done in his previous research projects collaborating with the University of Luxembourg. At SNU, he was mentored by Prof. Niteesh Sahni and Prof. Abhishek Tewari for the project. This was a 'prestigious selection' because he was the youngest person over there, while others were mostly Postgraduates and Postdoctoral students from University of Oxford, Cambridge etc. The Alan Turing institute had arranged his accommodation and fooding during the event and also provided him with a travel grant. He was also funded by the Vice Chancellor at SNU under 'exceptional circumstances' for the event.

The project was given by the Bristol City Council in order to reduce the Air Pollution in Bristol City Center. It involved complex datasets coming from 3 locations, i.e. Air Pollution Data ,Weather Data and Traffic Data. The team of 8 people and a facilitator selected for this project had to work on finding interesting (or unexpected) patterns in the data that the Council could use to help improve congestion and improve air quality. Their team was divided into 3 parts each of which focused on relating and exploring one dataset with another.

Siddharth's work was mainly centered around building several models to relate Air Pollution and Weather data to generate actionable insights. Complete details of the work carried out by the whole team would be published as a white paper by the Alan Turing Institute in about 6 months and the results after verification would be reported directly to the mayor for implementing in the city. The concluding day of the event involved all the teams presenting their findings before an audience of International researchers, Turing fellows and the challenge owners.

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