Metadata
Title
Dinesh Jayagopi
Category
general
UUID
29b12b2c382f442e94e7f4d8bfc0c411
Source URL
https://wp.unil.ch/persuasivelab/2024/12/dinesh-jayagopi/
Parent URL
https://wp.unil.ch/persuasivelab/collaborators/
Crawl Time
2026-03-23T21:51:01+00:00
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# Dinesh Jayagopi

**Source**: https://wp.unil.ch/persuasivelab/2024/12/dinesh-jayagopi/
**Parent**: https://wp.unil.ch/persuasivelab/collaborators/

Dr. Dinesh Babu Jayagopi is currently an Associate Professor at IIIT Bangalore, where he heads the Multimodal Perception Lab.  His research interests are in Audio-Visual Signal Processing, Machine Learning, and Social Computing. He obtained his doctorate from Ecole Polytechnic Federale Lausanne (EPFL), Switzerland, beginning of 2011. He received the Outstanding paper award in the International Conference on Multimodal Interaction (ICMI), 2012, Idiap Best PhD student research award for the year 2009. More recently, his PhD student’s work was nominated for Best student paper in ICMI 2016 Tokyo, Japan. Another work received Best student paper award at MedPRAI 2018. He also received  Department of Science and Technology (DST) Young Scientist Start up Grant in 2016. In the past, he has successfully collaborated and executed sponsored research projects with CAIR, DRDO (Defence Research and Development Organization) and NI Systems. He was a visiting professor at University of Lausanne in summer 2019

**Joint Publications**

Rao, P. S. B., 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.  <https://doi.org/10.1016/j.ijhcs.2024.103326>

Rao, P., Jayagopi, D. B., & Cherubini, M. (2022, June 14). Explainability in Automated Training and Feedback Systems. In Human-Centered Explainable AI Workshop (HCXAI) CHI 2022 DOI: [10.31219/osf.io/qd87c](https://doi.org/10.31219/osf.io/qd87c)

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