Sina Labbaf

According to our database, Sina Labbaf authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach.

Seyed Amir Hossein Aqajari, Ziyu Wang, Ali Tazarv, Sina Labbaf, Salar Jafarlou, Brenda Nguyen, Nikil D. Dutt, Marco Levorato, Amir M. Rahmani

CoRR, 2024

Context-Aware Stress Monitoring using Wearable and Mobile Technologies in Everyday Settings.

Seyed Amir Hossein Aqajari, Sina Labbaf, Phuc Hoang Tran, Brenda Nguyen, Milad Asgari Mehrabadi, Marco Levorato, Nikil D. Dutt, Amir M. Rahmani

CoRR, 2024

2023

ZotCare: a flexible, personalizable, and affordable mhealth service provider.

Sina Labbaf, Mahyar Abbasian, Iman Azimi, Nikil D. Dutt, Amir M. Rahmani

Frontiers Digit. Health, May, 2023

ZotCare: A Novel mHealth Service Provider

Sina Labbaf

PhD thesis, 2023

Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings.

Ali Tazarv, Sina Labbaf, Amir-Mohammad Rahmani, Nikil D. Dutt, Marco Levorato

Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2023

Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings.

Zhongqi Yang, Iman Azimi, Salar Jafarlou, Sina Labbaf, Jessica L. Borelli, Nikil D. Dutt, Amir M. Rahmani

Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

Impact of COVID-19 Pandemic on Sleep Including HRV and Physical Activity as Mediators: A Causal ML Approach.

Elahe Khatibi, Mahyar Abbasian, Iman Azimi, Sina Labbaf, Mohammad Feli, Jessica L. Borelli, Nikil D. Dutt, Amir M. Rahmani

Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

2022

Exploring computation offloading in IoT systems.

Sina Shahhosseini, Arman Anzanpour, Iman Azimi, Sina Labbaf, Dongjoo Seo, Sung-Soo Lim, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani

Inf. Syst., 2022

Personal mental health navigator: Harnessing the power of data, personal models, and health cybernetics to promote psychological well-being.

Amir M. Rahmani, Jocelyn Lai, Salar Jafarlou, Iman Azimi, Asal Yunusova, Alex. P. Rivera, Sina Labbaf, Arman Anzanpour, Nikil D. Dutt, Ramesh C. Jain, Jessica L. Borelli

Frontiers Digit. Health, 2022

Objective Prediction of Tomorrow's Affect Using Multi-Modal Physiological Data and Personal Chronicles: A Study of Monitoring College Student Well-being in 2020.

Salar Jafarlou, Jocelyn Lai, Zahra Mousavi, Sina Labbaf, Ramesh C. Jain, Nikil D. Dutt, Jessica L. Borelli, Amir M. Rahmani

CoRR, 2022

2021

Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation.

Fatemeh Sarhaddi, Iman Azimi, Sina Labbaf, Hannakaisa Niela-Vilén, Nikil D. Dutt, Anna Axelin, Pasi Liljeberg, Amir M. Rahmani

Sensors, 2021

Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement.

Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Marco Levorato

Proceedings of the GoodIT '21: Conference on Information Technology for Social Good, 2021

Personalized Stress Monitoring using Wearable Sensors in Everyday Settings.

Ali Tazarv, Sina Labbaf, Stephanie M. Reich, Nikil D. Dutt, Amir M. Rahmani, Marco Levorato

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

pyEDA: An Open-Source Python Toolkit for Pre-processing and Feature Extraction of Electrodermal Activity.

Seyed Amir Hossein Aqajari, Emad Kasaeyan Naeini, Milad Asgari Mehrabadi, Sina Labbaf, Nikil D. Dutt, Amir M. Rahmani

Proceedings of the 12th International Conference on Ambient Systems, 2021

2020

Personal Mental Health Navigator: Harnessing the Power of Data, Personal Models, and Health Cybernetics to Promote Psychological Well-being.

Amir M. Rahmani, Jocelyn Lai, Salar Jafarlou, Asal Yunusova, Alex. P. Rivera, Sina Labbaf, Sirui Hu, Arman Anzanpour, Nikil D. Dutt, Ramesh C. Jain, Jessica L. Borelli

CoRR, 2020

GSR Analysis for Stress: Development and Validation of an Open Source Tool for Noisy Naturalistic GSR Data.

Seyed Amir Hossein Aqajari, Emad Kasaeyan Naeini, Milad Asgari Mehrabadi, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt

CoRR, 2020

2019

Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study.

Iman Azimi, Olugbenga Oti, Sina Labbaf, Hannakaisa Niela-Vilén, Anna Axelin, Nikil D. Dutt, Pasi Liljeberg, Amir M. Rahmani

IEEE Access, 2019