Md. Sabbir Ahmed
Orcid: 0000-0001-8668-0120Affiliations:
- University of Virginia (UVA), Department of Systems and Information Engineering, Charlottesville, VA, USA
According to our database1,
Md. Sabbir Ahmed authored at least 17 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2026
SocialPulse: On-Device Detection of Social Interactions in Naturalistic Settings Using Smartwatch Multimodal Sensing.
CoRR, February, 2026
2025
A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning-Based Approach.
CoRR, August, 2025
A Minimalistic Approach to Predict and Understand the Relation of App Usage with Students' Academic Performances.
CoRR, August, 2025
Implications of Mobile Financial Service Users' Adaptive Usage Behavior: The Vicious Cycle of Negative Experience, Social Construct, and Confidence.
ACM J. Comput. Sustain. Soc., 2025
Proceedings of the Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2025
WatchAnxiety: A Transfer Learning Approach for State Anxiety Prediction from Smartwatch Data.
Proceedings of the 21st IEEE International Conference on Body Sensor Networks, 2025
2024
Roles of Technology for Risk Communication and Community Engagement in Bangladesh during COVID-19 Pandemic.
ACM J. Comput. Sustain. Soc., 2024
Understanding Driving Stress in Urban Bangladesh: An Exploratory Study, Wearable Development and Experiment.
ACM J. Comput. Sustain. Soc., 2024
Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024
2023
Is There Any Relation Between Smartphone Usage and Loneliness During the COVID-19 Pandemic?: A Study by Exploring Two Objective App Usage Datasets.
EAI Endorsed Trans. Pervasive Health Technol., 2023
A Minimalistic Approach to Predict and Understand the Relation of App Usage with Students' Academic Performance.
Proc. ACM Hum. Comput. Interact., 2023
2022
A Rule Mining and Bayesian Network Analysis to Explore the Link Between Depression and Digital Behavioral Markers of Games App Usage.
Proceedings of the Pervasive Computing Technologies for Healthcare, 2022
A Low-Cost Wearable System to Support Upper Limb Rehabilitation in Resource-Constrained Settings.
Proceedings of the Pervasive Computing Technologies for Healthcare, 2022
Less is More: Leveraging Digital Behavioral Markers for Real-Time Identification of Loneliness in Resource-Limited Settings.
Proceedings of the Pervasive Computing Technologies for Healthcare, 2022
2021
Exploring Unique App Signature of the Depressed and Non-depressed Through Their Fingerprints on Apps.
Proceedings of the Pervasive Computing Technologies for Healthcare, 2021
Proceedings of the AsianCHI '21: 5th Asian CHI Symposium, 2021
2020
Smartphone usage behavior between depressed and non-depressed students: an exploratory study in the context of Bangladesh.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020