BESI: Reliable and Heterogeneous Sensing and Intervention for In-home Health Applications. - Ridwan Alam; Joshua Dugan; Nutta Homdee; Neeraj Gandhi; Benjamin Ghaemmaghami; Harshitha Meda; Azziza Bankole; Martha S. Anderson; Jiaqi Gong; Tonya L. Smith-Jackson; John C. Lach (CHASE, 2017)

M^2G: A Monitor of Monitoring Systems with Ground Truth Validation Features for Research-Oriented Residential Applications. - Meiyi Ma; Ridwan Alam; Brooke Bell; Kayla de la Haye; Donna Spruijt-Metz; John C. Lach; John A. Stankovic (MASS, 2017)

Motion Biomarkers for Early Detection of Dementia-Related Agitation. - Ridwan Alam; Jiaqi Gong; Mark A. Hanson; Azziza Bankole; Martha S. Anderson; Tonya L. Smith-Jackson; John C. Lach (DigitalBioMarker@MobiSys, 2017)

Inferring physical agitation in dementia using smartwatch and sequential behavior models. - Ridwan Alam; Martha S. Anderson; Azziza Bankole; John C. Lach (BHI, 2018)

Non-Invasive Inference of Minute Ventilation Using Wearable ECG and Gaussian Process Regression. - Ridwan Alam; David B. Peden; Jiaqi Gong; John C. Lach (BHI, 2019)

Multiple-Instance Learning for Sparse Behavior Modeling from Wearables: Toward Dementia-Related Agitation Prediction. - Ridwan Alam; Azziza Bankole; Martha S. Anderson; John C. Lach (EMBC, 2019)

Inferring Respiratory Minute Volume from Wrist Motion. - Ridwan Alam; David B. Peden; Benjamin Ghaemmaghami; John C. Lach (EMBC, 2019)

Besi: behavior learning and tracking with wearable and in-home sensors - a dementia case-study: poster abstract. - Ridwan Alam; Nutta Homdee; Sean Wolfe; James A. Hayes; John C. Lach (IoTDI, 2019)

Agitation Monitoring and Prevention System for Dementia Caregiver Empowerment. - Nutta Homdee; Ridwan Alam; James A. Hayes; Tamanna Hamid; John Park; Sean Wolfe; Hilda Goins; Nykesha Fyffe; Temple Newbold; Tonya L. Smith-Jackson; Azziza Bankole; Martha S. Anderson; et al. (Computer, 2019)

MFED: A System for Monitoring Family Eating Dynamics. - Md. Abu Sayeed Mondol; Brooke Bell; Meiyi Ma; Ridwan Alam; Ifat Afrin Emi; Sarah Masud Preum; Kayla de la Haye; Donna Spruijt-Metz; John C. Lach; John A. Stankovic (CoRR, 2020)

Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review. - Brooke Bell; Ridwan Alam; Nabil Alshurafa; Edison Thomaz; Md. Abu Sayeed Mondol; Kayla de la Haye; John A. Stankovic; John C. Lach; Donna Spruijt-Metz (npj Digit. Medicine, 2020)

Wearable Respiration Monitoring: Interpretable Inference With Context and Sensor Biomarkers. - Ridwan Alam; David B. Peden; John C. Lach (IEEE J. Biomed. Health Informatics, 2021)

QTNet: Deep Learning for Estimating QT Intervals Using a Single Lead ECG. - Ridwan Alam; Aaron D. Aguirre; Collin M. Stultz (EMBC, 2023)

Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series. - Aniruddh Raghu; Payal Chandak; Ridwan Alam; John V. Guttag; Collin M. Stultz (ICML, 2023)

Heart Block Identification from 12-Lead ECG: Exploring the Generalizability of Self-Supervised AI. - Teya S. Bergamaschi; Collin M. Stultz; Ridwan Alam (BSN, 2024)

Detection of Acute Myocardial Infarction Using Deep Learning on Lead-I ECG Data. - Parmida Davarmanesh; Qian Lin; Irene Tenison; Gabriel Jabbour; Ridwan Alam (BSN, 2024)

Continuity Contrastive Representations of ECG for Heart Block Detection from Only Lead-I. - Teya S. Bergamaschi; Collin M. Stultz; Ridwan Alam (ML4H@NeurIPS, 2024)

Detecting QT prolongation From a Single-lead ECG With Deep Learning. - Ridwan Alam; Aaron D. Aguirre; Collin M. Stultz (CoRR, 2024)

Estimating ECG Intervals from Lead-I Alone: External Validation of Supervised Models. - Ridwan Alam; Collin M. Stultz (CoRR, 2024)

Novel Clinical-Grade Prostate Cancer Detection and Grading Model: Development and Prospective Validation Using Real World Data, with Performance Assessment on IHC Requested Cases. - Ramin Nateghi; Ruoji Zhou; Madeline Saft; Marina Schnauss; Clayton Neill; Ridwan Alam; Nicole Handa; Mitchell Huang; Eric V. Li; Jeffery A. Goldstein; Edward M. Schaeffer; Menatalla K. Nadim; et al. (CoRR, 2024)