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Published Papers

SUBJECT

Psychology - Neuroscience / Developmental / Cognitive / Learning & Memory

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Scientific Journal

IJSRC - International Journal of Social Relevance & Concern

Name of Scholar

Saiesha Moparthi

Topic

A Systematic Review of The Impact of Music on Attention, Mood And Driving Behavior

About the Scholar

Saiesha is a student at The Gaudium School, Hyderabad, India.


Name of Mentor

Emily Beswick

PhD in Psychology - University of Edinburgh

BA (Hons)  in Psychology - University of Edinburgh

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Summary

The automobile is the primary mode of transport for most families, but automobile accidents remain the leading cause of death for children and young adults. The most common cause of automobile accidents is incorrect driver action and research aims to minimize the factors that contribute to this, specifically driver aggression and inattention. Music has been shown to have an impact on driving and may be a useful tool to help mitigate these behaviors that can increase the risk of automobile accidents. The aim of this study is to systematically review and summarize the current published literature on the impact of listening to music whilst driving on the driver’s behavior, mood and attention.

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SUBJECT

CS - AI / ML / Data Science / Quantum Computing / Blockchain / Computer Vision

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Scientific Journal

IJSRST - International Journal of Scientific Research in Science and Technology

Name of Scholar

Pruthviraj Sunil Rajput

Topic

Exoplanet Detection Using Machine Learning : A Comparative Study Using Kepler Mission Data

About the Scholar

Pruthviraj is a student at Symbiosis International School, Pune, India.

Name of Mentor

Subhabrata Chaudhary

PhD in Engineering Science - University of Oxford

MSc in Computer Science - Saarland University, Germany

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Summary

This work explores the application of machine learning to detect exoplanets from NASA’s Kepler mission. Our dataset comprises Kepler Objects of Interest (KOIs), encompassing their characteristic features and confirmed exoplanet status. We experiment with multiple supervised classification techniques including classical, tree-based, and neural methods. The best-performing model Histogram Gradient Boosting achieves a strong performance of 94.6% precision and 94.1% recall on a held-out dataset demonstrating the strong potential of integrating machine learning techniques into astronomy, potentially leading to new insights into planetary systems outside the solar system.

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SUBJECT

Economics - Micro / Macro / Developmental / Behavioral

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Scientific Journal

IJSR - International Journal of Science and Research

Name of Scholar

Kavinkrishnan Gokulakrishnan

Topic

The Effect of Christmas on the Cryptocurrency Market with a Data Science Case Study

About the Scholar

Kavinkrishnan is a student at New Millenium School, Bahrain.

Name of Mentor

Damianos Michaelides

PhD in Statistics - University of Southampton

BSc, (Hons) in Mathematics, Operational Research, Statistics, Economics (MORSE) - University of Southampton

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Summary

This paper investigates the impact of the Christmas period on the prices of five cryptocurrencies Bitcoin, Ethereum, Ripple, Litecoin and Dogecoin from 2017 to 2021 By employing statistical and data science analysis, the study aims to enhance the understanding of seasonality anomalies in the cryptocurrency market The results reveal significant price fluctuations during the Christmas period, highlighting the potential for seasonal effects in digital currencies.

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SUBJECT

Economics - Micro / Macro / Developmental / Behavioral

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Scientific Journal

IJSRC - International Journal of Social Relevance & Concern

Name of Scholar

Aditi Shriram

Topic

The Externalities of Infrastructure Investment

About the Scholar

Aditi is a student at Don Bosco International School, Mumbai, India.

Name of Mentor

Ms. Sreevidya Ayyar

MRes/PhD in Economics (Pursuing) - London School of Economics and Political Science

MSc in Econometrics & Mathematical Economics - London School of Economics and Political Science

BA in Economics and Management - University of Oxford

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Summary

In this paper, I analyze the relationship between infrastructure investment, environmental degradation and. I first present their theoretical link through the lens of the theory of externalities; in particular, investment in infrastructure is associated with a positive externality since infrastructure is a public good, but both the usage and the construction of infrastructure pose negative environmental externalities. I synthesize the relatively disparate literature on this topic, before jointly estimating these externalities using cross-country data. I find that a 1% increase in infrastructure investments is associated with a 1.04% increase in average GDP, and a 0.77% increase in greenhouse gas (GHGs) emissions. I find that a 1% higher tax rate on energy dampens the association of such investments on GHGs.

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SUBJECT

Economics - Micro / Macro / Developmental / Behavioral

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Scientific Journal

IJSR - International Journal of Science and Research

Name of Scholar

Lakshya Batta

Topic

A Correlational Study on Income Inequality and Economic Growth

About the Scholar

Lakshya is a student at Canadian International School, Bangalore, India

Name of Mentor

Ms. Sreevidya Ayyar

MRes/PhD in Economics (Pursuing) - London School of Economics and Political Science

MSc in Econometrics & Mathematical Economics - London School of Economics and Political Science

BA in Economics and Management - University of Oxford

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Summary

The relationship between income inequality and economic growth has been the subject of extensive theoretical debate, with varying predictions on whether inequality fosters or hinders growth. This study investigates the relationship between income inequality and economic growth using a fixed-effects model, estimated on cross-country data spanning from 1963 to 2015. The findings suggest a robust negative correlation between income inequality and economic growth, with stronger effects observed in more developed countries

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SUBJECT

Physics - Classical / Quantum / Superconductivity / Particle

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Scientific Journal

IJSR - International Journal of Science and Research

Name of Scholar

Ritvika Tripathi

Topic

Comparative Study of Active and Passive Thermal Control Systems: A Case Study of Terra Satellite

About the Scholar

Ritvika is a student at GEMS Wellington International School, Dubai.

Name of Mentor

Imran Naved

DPhil in Engineering Science - University of Oxford

MEng in Engineering Science - University of Oxford


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Summary

Space is an extreme environment, which can heat and cool rapidly. Therefore, satellites that must function in this harsh climate for prolonged periods can sustain damage to equipment and wiring if the isolated system of the satellites is not temperature regulated [1]. Therefore, all satellites launched into orbit in space have some form of the thermal control system, which ensures that the satellite is regulated at an ideal temperature for payloads [2] that work at lower temperatures and to prevent damage caused to physical structures, misalignment of optical systems etc. due to large temperature differences. Generally, two types of thermal control systems are integrated into satellites: active and passive systems. Active systems being thermal control systems that use moving fluids and mechanisms [3]. Conversely, passive methods do not have any mechanically moving fluids or parts [4]. The purpose of this study is to compare active and passive thermal control systems and assess their effectiveness for satellite applications through a case study of the Terra satellite. This study highlights the importance of efficient thermal management in satellites, balancing cost, energy consumption, and reliability for longterm missions.

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