Kawsar, Fahim

DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices

Lane, N. D., Bhattacharya, S., Georgiev, P., Forlivesi, C., Jiao, L., Qendro, L., & Kawsar, F. (2016) · 2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 450

Multimodal Deep Learning for Activity and Context Recognition

Radu, V., Tong, C., Bhattacharya, S., Lane, N. D., Mascolo, C., Marina, M. K., & Kawsar, F. (2018) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 281

Towards multimodal deep learning for activity recognition on mobile devices

Radu, V., Lane, N. D., Bhattacharya, S., Mascolo, C., Marina, M. K., & Kawsar, F. (2016) · Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 147

DeepEye: Resource Efficient Local Execution of Multiple Deep Vision Models using Wearable Commodity Hardware

Mathur, A., Lane, N. D., Bhattacharya, S., Boran, A., Forlivesi, C., & Kawsar, F. (2017) · Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 128

ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition

Jain, Y., Tang, C. I., Min, C., Kawsar, F., & Mathur, A. (2022) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 113

Using Deep Data Augmentation Training to Address Software and Hardware Heterogeneities in Wearable and Smartphone Sensing Devices

Mathur, A., Zhang, T., Bhattacharya, S., Velickovic, P., Joffe, L., Lane, N. D., Kawsar, F., & Lio, P. (2018) · 2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)

Context-Aware Activity Recognition SystemsMobile Crowdsensing and Crowdsourcing

Cited by 70

The first step is the hardest: Pitfalls of Representing and Tokenizing Temporal Data for Large Language Models

Spathis, D., & Kawsar, F. (2023) · arXiv

Topic ModelingMachine Learning in Healthcare

Cited by 2