Aarzoo Dhiman

Aarzoo Dhiman is a Teaching Fellow at the Centre of Excellence for Data Science, AI, and Modelling (DAIM) at the University of Hull, specializing in Natural Language Processing applications for public health and social science challenges. Her work bridges computational methods with real-world societal impact through social media analytics.

Dr. Dhiman completed her PhD at the Indian Institute of Technology Roorkee (IITR) in May 2022, followed by postdoctoral research at University College London (UCL) until November 2023. Her academic journey demonstrates a focused progression from foundational social media analytics to impactful applications in public health and political science.

Her research centers on computational approaches to social media data with expertise in text mining, NLP, and large language models. She applies these techniques to digital epidemiology, climate change health impacts, and computational social science, demonstrating how alternative data sources can complement traditional research methods. Her work shows particular strength in developing practical AI frameworks for real-world challenges.

Dr. Dhiman's publication trajectory reveals evolving expertise from event detection systems (2020) to political campaign analysis (2022) and significant contributions to pandemic response (2024) and responsible AI implementation in healthcare (2024). This progression demonstrates increasing sophistication in applying AI to complex interdisciplinary problems with societal relevance.

Her notable recognitions include:

• Intel Student Ambassador (2020)
• UGC-NET Scholarship (2017-2021)
• MHRD Scholarship (2014-2016)

As an educator, Dr. Dhiman teaches Python programming and Understanding AI to MSc students at DAIM, along with specialized courses in Natural Language Processing for Finance and Information Retrieval Evaluations. Her teaching directly reflects her research expertise, emphasizing practical applications of data science techniques for solving contemporary challenges in multiple domains.