FEnEx CRC Scholar
Deepak Uniyal graduated from the Indian Institute of Technology, Roorkee, India with a Master of Technology (Computer Science) in 2014. Subsequently, he worked as a Software Engineer for two years and took over teaching as a full-time profession for 6 years.
His recent works on COVID-19 namely, ‘Identifying COVID-19 prominent disseminators harnessing Twitter data’ and ‘Identifying local influencers using multi-lingual data’ were published in IEEE Transactions on Emerging Topics in Computational Intelligence, a top-leading Q1 Journal (H-index 25), in 2021 and the workshop SoGood 2021, organized in association with ECML-PKDD 2021, respectively.
His project at The Queensland University of Technology aims to build a (semi-)automated system to analyze and understand people’s perceptions, sentiments, and behavior towards emerging trends and issues on social media platforms with respect to Australia, considered a Hydrogen export industry. This project aims to collect a cross-linguistic dataset to compete with market leaders, considering the significance of discerning what people across the globe think. This would be helpful in comprehending the market dynamics of the hydrogen energy industry using cross-linguistic and multi-view databases extracted from social media and ultimately developing novel methods for cross linguistic analysis.