Torch

Dr Aarzoo Dhiman

Teaching Fellow

Faculty and Department

  • Faculty of Science and Engineering
  • Data Science AI and Modelling Centre (DAIM)

Qualifications

  • BEng
  • MEng
  • PhD / DPhil (Indian Institute of Technology)

Summary

Aarzoo is a Teaching Fellow at the Centre of Excellence for Data Science, AI, and Modelling (DAIM) at the University of Hull. She completed her PhD at the Indian Institute of Technology Roorkee (IITR) in May 2022. Before joining DAIM, Aarzoo worked as a postdoctoral researcher at University College London (UCL) until November 2023. Her PhD and postdoctoral research focused on leveraging social media data to address and complement traditional public health challenges. Specializing in natural language processing (NLP), Aarzoo has demonstrated expertise in AI and machine learning, with numerous publications in top-tier conferences and high-impact journals. Broadly her research interests include computational social science, climate change and health, and digital epidemiology. In her current role, she teaches "Python programming" and "Understanding AI" to MSc students in DAIM.

Python programming,

Understandin Aritificial Intelligence,

Natural Language processing for Finance,

Information Retrieval Evaluations.

Recent outputs

View more outputs

Journal Article

Estimating the household secondary attack rate and serial interval of COVID-19 using social media

Dhiman, A., Yom-Tov, E., Pellis, L., Edelstein, M., Pebody, R., Hayward, A., House, T., Finnie, T., Guzman, D., Lampos, V., Virus Watch Consortium, & Cox, I. J. (2024). Estimating the household secondary attack rate and serial interval of COVID-19 using social media. npj Digital Medicine, 7(1), Article 194. https://doi.org/10.1038/s41746-024-01160-2

AI-based Twitter framework for assessing the involvement of government schemes in electoral campaigns

Dhiman, A., & Toshniwal, D. (2022). AI-based Twitter framework for assessing the involvement of government schemes in electoral campaigns. Expert Systems with Applications, 203, Article 117338. https://doi.org/10.1016/j.eswa.2022.117338

An Approximate Model for Event Detection from Twitter Data

Dhiman, A., & Toshniwal, D. (2020). An Approximate Model for Event Detection from Twitter Data. IEEE Access, 8, 122168-122184. https://doi.org/10.1109/ACCESS.2020.3007004

Research interests

Social media data analytics,

Text Mining,

Natural Language Processing,

Large Language Models

Awards and prizes

UGC-NET Scholarship

2017 - 2021

MHRD Scholarship

2014 - 2016

Scholarship role

Intel Student Ambassador

2020

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