Toward robust and platform-agnostic gait analysis. - Yuchao Ma; Ramin Fallahzadeh; Hassan Ghasemzadeh 001 (BSN, 2015)

Smart-Cuff: A wearable bio-sensing platform with activity-sensitive information quality assessment for monitoring ankle edema. - Ramin Fallahzadeh; Mahdi Pedram; Ramyar Saeedi; Bahman Sadeghi; Michael K. Ong; Hassan Ghasemzadeh 001 (PerCom Workshops, 2015)

A machine learning approach for medication adherence monitoring using body-worn sensors. - Niloofar Hezarjaribi; Ramin Fallahzadeh; Hassan Ghasemzadeh 001 (DATE, 2016)

Toward personalized and context-aware prompting for smartphone-based intervention. - Ramin Fallahzadeh; Samaneh Aminikhanghahi; Ashley Nichole Gibson; Diane J. Cook (EMBC, 2016)

SmartSock: A wearable platform for context-aware assessment of ankle edema. - Ramin Fallahzadeh; Mahdi Pedram; Hassan Ghasemzadeh 001 (EMBC, 2016)

CyHOP: A generic framework for real-time power-performance optimization in networked wearable motion sensors. - Ramin Fallahzadeh; Hassan Ghasemzadeh 001 (ICCD, 2016)

An Energy-Efficient Computational Model for Uncertainty Management in Dynamically Changing Networked Wearables. - Ramyar Saeedi; Ramin Fallahzadeh; Parastoo Alinia; Hassan Ghasemzadeh 001 (ISLPED, 2016)

A Reliable and Reconfigurable Signal Processing Framework for Estimation of Metabolic Equivalent of Task in Wearable Sensors. - Parastoo Alinia; Ramyar Saeedi; Ramin Fallahzadeh; Seyed Ali Rokni; Hassan Ghasemzadeh 001 (IEEE J. Sel. Top. Signal Process., 2016)

A Hardware-Assisted Energy-Efficient Processing Model for Activity Recognition Using Wearables. - Hassan Ghasemzadeh 001; Ramin Fallahzadeh; Roozbeh Jafari (ACM Trans. Design Autom. Electr. Syst., 2016)

Adaptive compressed sensing at the fingertip of Internet-of-Things sensors: An ultra-low power activity recognition. - Ramin Fallahzadeh; Josué Pagán Ortiz; Hassan Ghasemzadeh 001 (DATE, 2017)

An optimal approach for low-power migraine prediction models in the state-of-the-art wireless monitoring devices. - Josué Pagán; Ramin Fallahzadeh; Hassan Ghasemzadeh 001; José Manuel Moya; José Luis Risco-Martín; José L. Ayala (DATE, 2017)

Learn-on-the-go: Autonomous cross-subject context learning for internet-of-things applications. - Ramin Fallahzadeh; Parastoo Alinia; Hassan Ghasemzadeh 001 (ICCAD, 2017)

Personalization without user interruption: boosting activity recognition in new subjects using unlabeled data. - Ramin Fallahzadeh; Hassan Ghasemzadeh 001 (ICCPS, 2017)

Thyme: Improving Smartphone Prompt Timing Through Activity Awareness. - Samaneh Aminikhanghahi; Ramin Fallahzadeh; Matthew Sawyer; Diane J. Cook; Lawrence B. Holder (ICMLA, 2017)

Mobile sensing to improve medication adherence: demo abstract. - Ramin Fallahzadeh; Bryan David Minor; Lorraine S. Evangelista; Diane J. Cook; Hassan Ghasemzadeh 001 (IPSN, 2017)

A beverage intake tracking system based on machine learning algorithms, and ultrasonic and color sensors: poster abstract. - Mahdi Pedram; Seyed Ali Rokni; Ramin Fallahzadeh; Hassan Ghasemzadeh 001 (IPSN, 2017)

Context-Aware System Design for Remote Health Monitoring: An Application to Continuous Edema Assessment. - Ramin Fallahzadeh; Yuchao Ma; Hassan Ghasemzadeh 001 (IEEE Trans. Mob. Comput., 2017)

Trading Off Power Consumption and Prediction Performance in Wearable Motion Sensors: An Optimal and Real-Time Approach. - Ramin Fallahzadeh; Hassan Ghasemzadeh 001 (ACM Trans. Design Autom. Electr. Syst., 2018)

Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition. - Josué Pagán; Ramin Fallahzadeh; Mahdi Pedram; José L. Risco-Martín; José Manuel Moya; José L. Ayala; Hassan Ghasemzadeh 001 (IEEE Trans. Mob. Comput., 2019)

Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions. - Anthony Culos; Amy Tsai; Natalie Stanley; Martin Becker 003; Mohammad Sajjad Ghaemi; David Mcilwain; Ramin Fallahzadeh; Athena Tanada; Huda Nassar; Camilo Espinosa; Maria Xenochristou; Edward Ganio; et al. (Nat. Mach. Intell., 2020)

Early prediction and longitudinal modeling of preeclampsia from multiomics. - Ivana Maric; Kévin Contrepois; Mira N. Moufarrej; Ina A. Stelzer; Dorien Feyaerts; Xiaoyuan Han; Andy Tang; Natalie Stanley; Ronald J. Wong; Gavin M. Traber; Mathew Ellenberger; Alan L. Chang; et al. (Patterns, 2022)

Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition. - Josué Pagán; Ramin Fallahzadeh; Mahdi Pedram; José L. Risco-Martín; José Manuel Moya; Jisé Luis Ayala; Hassan Ghasemzadeh 001 (CoRR, 2023)

Large-scale correlation network construction for unraveling the coordination of complex biological systems. - Martin Becker 003; Huda Nassar; Camilo Espinosa; Ina A. Stelzer; Dorien Feyaerts; Eloïse Berson; Neda Hajiakhoond Bidoki; Alan L. Chang; Geetha Saarunya; Anthony Culos; Davide De Francesco; Ramin Fallahzadeh; et al. (Nat. Comput. Sci., 2023)

Personalized Activity Recognition Using Partially Available Target Data. - Ramin Fallahzadeh; Zhila Esna Ashari; Parastoo Alinia; Hassan Ghasemzadeh 001 (IEEE Trans. Mob. Comput., 2023)