Farzad Shahabi

According to our database, Farzad Shahabi authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

THOR: Thermal-Guided Hand-Object Reasoning via Adaptive Vision Sampling.

Soroush Shahi, Farzad Shahabi, Rama Naboulsi, Glenn Fernandes, Aggelos K. Katsaggelos, Nabil Alshurafa

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., December, 2025

THOR: Thermal-guided Hand-Object Reasoning via Adaptive Vision Sampling.

Soroush Shahi, Farzad Shahabi, Rama Nabulsi, Glenn Fernandes, Aggelos K. Katsaggelos, Nabil Alshurafa

CoRR, July, 2025

Unveiling overeating patterns within digital longitudinal data on eating behaviors and contexts.

Farzad Shahabi, Boyang Wei, Christopher Romano, Rowan McCloskey, Annie W. Lin, Mahdi Pedram, Jacob M. Schauer, Tammy Stump, Nabil Alshurafa

npj Digit. Medicine, 2025

A Multimodal AI-Enabled Framework for Characterizing Overeating Behaviors and Consumption Patterns.

Farzad Shahabi, Jessica Li, Christopher Romano, Rowan McCloskey, Glenn Fernandes, Mahdi Pedram, Jacob M. Schauer, Tammy Stump, Nabil Alshurafa

Proceedings of the 21st IEEE International Conference on Body Sensor Networks, 2025

RayWatch: Hemispherical Diffusion on Wrist UV Sensor for Indoor-Outdoor Sensing.

Harrison Dong, Glenn Fernandes, Christopher Romano, Yuxin Du, Tanmeet S. Butani, Neel Pendse, Farzad Shahabi, Tammy Stump, Nabil Alshurafa

Proceedings of the 21st IEEE International Conference on Body Sensor Networks, 2025

Multi-Modal Hand-to-Mouth Gesture Recognition in Activity-Oriented RGB-Thermal Footage (Student Abstract).

Glenn Fernandes, Meixi Lu, Farzad Shahabi, Jiayi Zheng, Aggelos K. Katsaggelos, Nabil Alshurafa

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

HabitSense: A Privacy-Aware, AI-Enhanced Multimodal Wearable Platform for mHealth Applications.

Glenn Fernandes, Jiayi Zheng, Mahdi Pedram, Christopher Romano, Farzad Shahabi, Blaine Rothrock, Thomas Cohen, Helen Zhu, Tanmeet S. Butani, Josiah D. Hester, Aggelos K. Katsaggelos, Nabil Alshurafa

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., August, 2024

A machine-learned model for predicting weight loss success using weight change features early in treatment.

Farzad Shahabi, Samuel L. Battalio, Angela Fidler Pfammatter, Donald Hedeker, Bonnie Spring, Nabil Alshurafa

npj Digit. Medicine, 2024

2022

Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances.

Shibo Zhang, Yaxuan Li, Shen Zhang, Farzad Shahabi, Stephen Xia, Yu Deng, Nabil Alshurafa

Sensors, 2022

ActiveSense: A Novel Active Learning Framework for Human Activity Recognition.

Farzad Shahabi, Yang Gao, Nabil Alshurafa

Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

2021

Deep Learning for Primary Sector Prediction in FR2 New Radio Systems.

Adel Aldalbahi, Mohammed A. Jasim, Farzad Shahabi, Asim Mazin, Nazli Siasi, Diogo Oliveira

IEEE Access, 2021

Ltspice Analysis of Double- Inductor Quadratic Boost Converter in Comparison with Quadratic Boost and Double Cascaded Boost Converter.

Afshin Balal, Farzad Shahabi

Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

Designing and Simulation a Reliable Standalone Solar/wind Hybrid System.

Afshin Balal, Farzad Shahabi

Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021