Pooja Rao
Source: https://wp.unil.ch/persuasivelab/2020/09/pooja-rao/ Parent: https://wp.unil.ch/persuasivelab/collaborators/
I am a PhD student under the co-supervision of Prof. Mauro Cherubini and Prof. Dinesh Babu Jayagopi from IIIT Bangalore. My research interests lie in the intersection of Human-Computer Interaction and Artificial Intelligence. My goal is to help job seekers overcome the challenges of unemployment with a focus on interview training through the techniques of Artificial Intelligence and Natural Language Processing. I completed my Master’s by Research in AI at IIIT Bangalore where my thesis focused on improving and automating asynchronous video interviews using Machine Learning, Natural Language Processing and Generation, Multimodal Processing. My industry background includes stints at Accenture Technology Labs and HP Inc R&D Labs working on different NLP problems. Prior to my Master’s, I worked at Fidelity Investments for 2 years.
You can find more information on my work here.
When not working, I enjoy doing the classical dance form of Kathak and getting to know about zero-waste/sustainable practices. For further information please visit www.poojarao.in
Publications
Salehzadeh Niksirat, K., Goswami, L., SB Rao, P., Tyler, J., Silacci, A., Aliyu, S., … & Cherubini, M. (2023, April). Changes in research ethics, openness, and transparency in empirical studies between CHI 2017 and CHI 2022. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-23).
Rao, P. S., Renier, L., Boldi, M. O., Mast, M. S., Jayagopi, D. B., & Cherubini, M. (2024). On the potential of supporting autonomy in online video interview training platforms. International Journal of Human-Computer Studies, 191, 103326.
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