Smartphone Data Gathered Early in Depression Treatment Predicts Treatment Outcome: Accepted at 2025 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE):
Cross-platform Prediction of Depression Treatment Outcome Using Location Sensory Data on Smartphones: https://arxiv.org/abs/2503.07883
Vote with Your Feet: Predicting Depression Treatment Outcome Using Daily Step Count Sensory Data: Under Review
Using Mobile Daily Mood and Anxiety Self-ratings to Predict Depression Symptom Improvement, IEEE/ACM CHASE 2024 , Link: https://ieeexplore.ieee.org/document/10614430
- Predicting Symptom Improvement During Depression Treatment Using Sleep Sensory Data, Bing Wang's Lab, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 7Issue 3Article No.: 121, Year of Publication:2023, Link: https://dl.acm.org/doi/10.1145/3610932
- C2: A Modern Approach To Disaster Management, Kumar Surjeet Chaudhury, Arpita Nibedita, Soumyashree Sahoo, International Journal of Computer Applications, Foundation of Computer Science (FCS), NY, USA, Volume 51 - Number 6, Year of Publication: 2012. Link: #
- Secure Routing in Wireless Sensor Networks, Soumyashree Sahoo, Pradipta Kumar Mishra, Rabi Narayan Satapathy, International Journal of Computer Science Issues (IJCSI); Mahebourg Vol. 9, Iss. 1, (Jan 2012): 187-191. Link: Publications