When to remember where you came from: node representation learning in higher-order networks. - Caleb Belth; Fahad Kamran; Donna Tjandra; Danai Koutra (ASONAM, 2019)

Estimating Calibrated Individualized Survival Curves with Deep Learning. - Fahad Kamran; Jenna Wiens (AAAI, 2021)

Automated Loss-of-Balance Event Identification in Older Adults at Risk of Falls during Real-World Walking Using Wearable Inertial Measurement Units. - Jeremiah Hauth; Safa Jabri; Fahad Kamran; Eyoel W. Feleke; Kaleab Nigusie; Lauro V. Ojeda; Shirley Handelzalts; Linda Nyquist; Neil B. Alexander; Xun Huan; Jenna Wiens; Kathleen H. Sienko (Sensors, 2021)

Noninvasive Estimation of Hydration Status in Athletes Using Wearable Sensors and a Data-Driven Approach Based on Orthostatic Changes. - Fahad Kamran; Victor C. Le; Adam Frischknecht; Jenna Wiens; Kathleen H. Sienko (Sensors, 2021)

Machine Learning for Health (ML4H) 2022. - Antonio Parziale; Monica Agrawal; Shengpu Tang; Kristen Severson 001; Luis Oala; Adarsh Subbaswamy; Sayantan Kumar; Elora D. M. Schörverth; Stefan Hegselmann; Helen Zhou; Ghada Zamzmi; Purity Mugambi; et al. (ML4H@NeurIPS, 2022)

Machine Learning for Health (ML4H) 2023. - Stefan Hegselmann; Antonio Parziale; Divya Shanmugam; Shengpu Tang; Kristen Severson 001; Mercy Nyamewaa Asiedu; Serina Chang; Bonaventure F. P. Dossou; Qian Huang; Fahad Kamran; Haoran Zhang 003; Sujay Nagaraj; et al. (ML4H@NeurIPS, 2023)

Aligning Machine Learning Solutions with Clinical Needs - Fahad Kamran (2023)

Learning to Rank for Optimal Treatment Allocation Under Resource Constraints. - Fahad Kamran; Maggie Makar; Jenna Wiens (AISTATS, 2024)

Reformulating patient stratification for targeting interventions by accounting for severity of downstream outcomes resulting from disease onset: a case study in sepsis. - Fahad Kamran; Donna Tjandra; Thomas S. Valley; Hallie C. Prescott; Nigam H. Shah; Vincent X. Liu; Eric Horvitz; Jenna Wiens (J. Am. Medical Informatics Assoc., 2025)

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions. - Eray Erturk; Fahad Kamran; Salar Abbaspourazad; Sean Jewell; Harsh Sharma; Yujie Li; Sinead Williamson; Nicholas J. Foti; Joseph Futoma (CoRR, 2025)