Arvind Pillai

I am a 4th year PhD student at Dartmouth College, advised by Prof. Andrew Campbell. Previously, I was a research intern at Nokia Bell Labs (Cambridge, UK) (Summer 2024), and a AI & Data Graduate Scientist at AstraZeneca (2019-2021).

My interdisciplinary research enables the examination of mental health and behavior of individuals through mobile sensing and robust machine learning. In particular, I am interested in these two areas:

AI for Mental Health: I develop models from different modalities to evaluate the presence of mental illness symptoms: (a) rare life events for sensor data [CHIL’23], (b) suicidal ideation detection from speech [UbiComp’24], and (c) depression detection from front-facing smartphone images [CHI’24].
Robust ML: I like analyzing how healthcare ML models perform when tested against out-of-distribution data. In general, these models do not perform well, and proposing algorithms to address this issue is very interesting. To this end, I have investigated the generalization of speech-based suicidal ideation detection [UbiComp’24].

news

Oct 08, 2024	Presented “Investigating Generalizability of Speech-Based Suicidal Ideation Detection Using Mobile Phones” @ Ubicomp 2024
Jun 01, 2024	I will be interning at Nokia Bell Labs in Cambridge, UK for Summer 2024.
May 14, 2024	Presented our work MoodCapture at CHI 2024 in Honolulu.

Selected Publications

CHI

MoodCapture: Depression Detection Using In-the-Wild Smartphone Images

Subigya Nepal*, Arvind Pillai*, Weichen Wang, and 8 more authors

In Proceedings of the CHI Conference on Human Factors in Computing Systems , 2024

Bib PDF Video

@inproceedings{nepal2024moodcapture,
  title = {MoodCapture: Depression Detection Using In-the-Wild Smartphone Images},
  author = {Nepal*, Subigya and Pillai*, Arvind and Wang, Weichen and Griffin, Tess and Collins, Amanda C and Heinz, Michael and Lekkas, Damien and Mirjafari, Shayan and Nemesure, Matthew and Price, George and others},
  booktitle = {Proceedings of the CHI Conference on Human Factors in Computing Systems},
  pages = {1--18},
  year = {2024},
}

UbiComp

Investigating Generalizability of Speech-based Suicidal Ideation Detection Using Mobile Phones

Arvind Pillai, Subigya Kumar Nepal, Weichen Wang, and 8 more authors

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2024

Bib PDF

@article{pillai2024investigating,
  title = {Investigating Generalizability of Speech-based Suicidal Ideation Detection Using Mobile Phones},
  author = {Pillai, Arvind and Nepal, Subigya Kumar and Wang, Weichen and Nemesure, Matthew and Heinz, Michael and Price, George and Lekkas, Damien and Collins, Amanda C and Griffin, Tess and Buck, Benjamin and others},
  journal = {Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies},
  volume = {7},
  number = {4},
  pages = {1--38},
  year = {2024},
  publisher = {ACM New York, NY, USA},
}

CHIL

Rare Life Event Detection via Mobile Sensing Using Multi-Task Learning

Arvind Pillai, Subigya Nepal, and Andrew Campbell

In Conference on Health, Inference, and Learning , 2023

Bib PDF

@inproceedings{pillai2023rare,
  title = {Rare Life Event Detection via Mobile Sensing Using Multi-Task Learning},
  author = {Pillai, Arvind and Nepal, Subigya and Campbell, Andrew},
  booktitle = {Conference on Health, Inference, and Learning},
  pages = {279--293},
  year = {2023},
  organization = {PMLR},
}