Arvind Pillai

27 papers A* 2Journal 19Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning Transferable Sensor Models via Language-Informed Pretraining.
CoRR
Yuliang Chen, Arvind Pillai, Yu Yvonne Wu, Tess Z. Griffin, Lisa A. Marsch, Michael V. Heinz, Nicholas C. Jacobson, Andrew T. Campbell
2025 — conf
A Survey of Passive Sensing for Workplace Wellbeing and Productivity.
HCI (3)
Subigya K. Nepal, Gonzalo J. Martínez, Arvind Pillai, Koustuv Saha, Shayan Mirjafari, Vedant Das Swain, Xuhai Xu, Pino G. Audia, Munmun De Choudhury, Anind K. Dey, Aaron Striegel, Andrew T. Campbell
2025 — conf
Beyond Prompting: Time2Lang - Bridging Time-Series Foundation Models and Large Language Models for Health Sensing.
CHIL
Arvind Pillai, Dimitris Spathis, Subigya Nepal, Amanda C. Collins, Daniel M. Mackin, Michael V. Heinz, Tess Z. Griffin, Nicholas C. Jacobson, Andrew Campbell
2025 J jnl
Beyond Prompting: Time2Lang - Bridging Time-Series Foundation Models and Large Language Models for Health Sensing.
CoRR
Arvind Pillai, Dimitris Spathis, Subigya Nepal, Amanda C. Collins, Daniel M. Mackin, Michael V. Heinz, Tess Z. Griffin, Nicholas C. Jacobson, Andrew Campbell
2025 J jnl
LENS: LLM-Enabled Narrative Synthesis for Mental Health by Aligning Multimodal Sensing with Language Models.
CoRR
Wenxuan Xu, Arvind Pillai, Subigya Nepal, Amanda C. Collins, Daniel M. Mackin, Michael V. Heinz, Tess Z. Griffin, Nicholas C. Jacobson, Andrew T. Campbell
2025 J jnl
MotionTeller: Multi-modal Integration of Wearable Time-Series with LLMs for Health and Behavioral Understanding.
CoRR
Aiwei Zhang, Arvind Pillai, Andrew T. Campbell, Nicholas C. Jacobson
2025 A* conf
PaPaGei: Open Foundation Models for Optical Physiological Signals.
ICLR
Arvind Pillai, Dimitris Spathis, Fahim Kawsar, Mohammad Malekzadeh
2025 J jnl
Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025.
CoRR
Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon A. Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom, Muhammad Umar Afza, Amelia Archer, Suhana Bedi, Vasiliki Bikia, Trenton Chang, George H. Chen, Winston Chen, Erica Chiang, Edward Choi, Octavia Ciora, Paz Dozie-Nnamah, Shaza Elsharief, Matthew Engelhard, Ali Eshragh, Jean Feng, Josh Fessel, Scott L. Fleming, Kei Sen Fong, Thomas Frost, Soham Gadgil, Judy Gichoya, Leeor Hershkovich, Sujeong Im, Bhavya Jain, Vincent Jeanselme, Furong Jia, Qixuan Jin, Yuxuan Jin, Daniel Kapash, Geetika Kapoor, Behdokht Kiafar, Matthias Kleiner, Stefan Kraft, Annika Kumar, Daeun Kyung, Zhongyuan Liang, Joanna Lin, Qianchu Liu, Chang Liu, Hongzhou Luan, Chris Lunt, Leopoldo Julian Lechuga López, Matthew B. A. McDermott, Shahriar Noroozizadeh, Connor O'Brien, YongKyung Oh, Mixail Ota, Stephen Pfohl, Meagan Pi, Tanmoy Sarkar Pias, Emma Rocheteau, Avishaan Sethi, Toru Shirakawa, Anita Silver, Neha Simha, Kamile Stankeviciute, Max Sunog, Peter Szolovits, Shengpu Tang, Jialu Tang, Aaron Tierney, John Valdovinos, Byron Wallace, Will Ke Wang, Peter Washington, Jeremy C. Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor
2024 J jnl
Capturing the College Experience: A Four-Year Mobile Sensing Study of Mental Health, Resilience and Behavior of College Students during the Pandemic.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Subigya Nepal, Wenjun Liu, Arvind Pillai, Weichen Wang, Vlado Vojdanovski, Jeremy F. Huckins, Courtney Rogers, Meghan Meyer, Andrew T. Campbell
2024 — conf
Contextual AI Journaling: Integrating LLM and Time Series Behavioral Sensing Technology to Promote Self-Reflection and Well-being using the MindScape App.
CHI Extended Abstracts
Subigya Nepal, Arvind Pillai, William Campbell, Talie Massachi, Eunsol Soul Choi, Xuhai Xu, Joanna Kuc, Jeremy F. Huckins, Jason Holden, Colin A. Depp, Nicholas C. Jacobson, Mary P. Czerwinski, Eric L. Granholm, Andrew T. Campbell
2024 J jnl
Contextual AI Journaling: Integrating LLM and Time Series Behavioral Sensing Technology to Promote Self-Reflection and Well-being using the MindScape App.
CoRR
Subigya Nepal, Arvind Pillai, William Campbell, Talie Massachi, Eunsol Soul Choi, Xuhai Orson Xu, Joanna Kuc, Jeremy F. Huckins, Jason Holden, Colin A. Depp, Nicholas C. Jacobson, Mary Czerwinski, Eric L. Granholm, Andrew T. Campbell
2024 J jnl
MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences.
CoRR
Subigya Nepal, Arvind Pillai, William Campbell, Talie Massachi, Michael V. Heinz, Ashmita Kunwar, Eunsol Soul Choi, Xuhai Orson Xu, Joanna Kuc, Jeremy F. Huckins, Jason Holden, Sarah M. Preum, Colin Depp, Nicholas Jacobson, Mary Czerwinski, Eric L. Granholm, Andrew T. Campbell
2024 J jnl
MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Subigya Nepal, Arvind Pillai, William Campbell, Talie Massachi, Michael V. Heinz, Ashmita Kunwar, Eunsol Soul Choi, Xuhai Xu, Joanna Kuc, Jeremy F. Huckins, Jason Holden, Sarah M. Preum, Colin Depp, Nicholas C. Jacobson, Mary P. Czerwinski, Eric L. Granholm, Andrew T. Campbell
2024 J jnl
MoodCapture: Depression Detection Using In-the-Wild Smartphone Images.
CoRR
Subigya Nepal, Arvind Pillai, Weichen Wang, Tess Griffin, Amanda C. Collins, Michael V. Heinz, Damien Lekkas, Shayan Mirjafari, Matthew Nemesure, George D. Price, Nicholas C. Jacobson, Andrew T. Campbell
2024 A* conf
MoodCapture: Depression Detection using In-the-Wild Smartphone Images.
CHI
Subigya Nepal, Arvind Pillai, Weichen Wang, Tess Griffin, Amanda C. Collins, Michael V. Heinz, Damien Lekkas, Shayan Mirjafari, Matthew Nemesure, George D. Price, Nicholas C. Jacobson, Andrew T. Campbell
2024 J jnl
PaPaGei: Open Foundation Models for Optical Physiological Signals.
CoRR
Arvind Pillai, Dimitris Spathis, Fahim Kawsar, Mohammad Malekzadeh
2024 J jnl
Social Isolation and Serious Mental Illness: The Role of Context-Aware Mobile Interventions.
IEEE Pervasive Comput.
Subigya Nepal, Arvind Pillai, Emma M. Parrish, Jason Holden, Colin Depp, Andrew T. Campbell, Eric L. Granholm
2023 J jnl
Investigating Generalizability of Speech-based Suicidal Ideation Detection Using Mobile Phones.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Arvind Pillai, Subigya Kumar Nepal, Weichen Wang, Matthew Nemesure, Michael V. Heinz, George D. Price, Damien Lekkas, Amanda C. Collins, Tess Griffin, Benjamin Buck, Sarah Masud Preum, Trevor Cohen, Nicholas C. Jacobson, Dror Ben-Zeev, Andrew T. Campbell
2023 — conf
Rare Life Event Detection via Mobile Sensing Using Multi-Task Learning.
CHIL
Arvind Pillai, Subigya Nepal, Andrew Campbell
2023 J jnl
Rare Life Event Detection via Mobile Sensing Using Multi-Task Learning.
CoRR
Arvind Pillai, Subigya Nepal, Andrew T. Campbell
2023 J jnl
Social Isolation and Serious Mental Illness: The Role of Context-Aware Mobile Interventions.
CoRR
Subigya Nepal, Arvind Pillai, Emma M. Parrish, Jason Holden, Colin A. Depp, Andrew T. Campbell, Eric L. Granholm
2022 J jnl
Accurate Step Count with Generalized and Personalized Deep Learning on Accelerometer Data.
Sensors
Long Luu, Arvind Pillai, Halsey Lea, Rubén Buendía, Faisal M. Khan, Glynn Dennis
2022 J jnl
First-Gen Lens: Assessing Mental Health of First-Generation Students across Their First Year at College Using Mobile Sensing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Weichen Wang, Subigya Nepal, Jeremy F. Huckins, Lessley Hernandez, Vlado Vojdanovski, Dante Mack, Jane Plomp, Arvind Pillai, Mikio Obuchi, Alex daSilva, Eilis Murphy, Elin Hedlund, Courtney Rogers, Meghan Meyer, Andrew Campbell
2021 — conf
Accurate Step Count With Generalizable Deep Learning on Accelerometer Data.
DASC/PiCom/CBDCom/CyberSciTech
Long Luu, Arvind Pillai, Halsey Lea, Rubén Buendía, Faisal M. Khan, Glynn Dennis
2020 J jnl
Personalized Step Counting Using Wearable Sensors: A Domain Adapted LSTM Network Approach.
CoRR
Arvind Pillai, Halsey Lea, Faisal M. Khan, Glynn Dennis
2019 — conf
Graph Convolutional Networks for Predicting Drug-Protein Interactions.
BIBM
Hafez Eslami Manoochehri, Arvind Pillai, Mehrdad Nourani
2018 J jnl
Local diagonal extrema number pattern: A new feature descriptor for face recognition.
Future Gener. Comput. Syst.
Arvind Pillai, Rajkumar Soundrapandiyan, Swapnil Satapathy, Suresh Chandra Satapathy, Ki-Hyun Jung, Rajakumar Krishnan