April, 2025

Jooyoung Ryu, Kevin Lu, and Sampath Rapuri were awarded the Summer Provost's Undergraduate Research (PURA) Awards. Jooyoung Ryu also recieved the Institute for Data-Intensive Engineering and Science (IDIES) summer research award. Sampath Rapuri was awarded the Pistritto Fellowship to support his work during the 2025-2026 academic year.

April, 2024

Congraduations to Jooyoung Ryu and Sampath Rapuri for being awarded Summer Provost's Undergraduate Research (PURA) Awards for the summer.

March, 2023

Carl Harris was awarded an NSF Graduate Research Fellowship Program (GRFP) to pursue his Ph.D. studies in Biomedical Engineering at JHU.

Johns Hopkins ICTR ATIP Grant (2025)

The MOSAIC project is developing and validating a cuff-free, multimodal wearable sensor array that can track blood pressure continuously and non-invasively—offering a real-time alternative to century-old, episodic cuff measurements. By comparing MOSAIC readings with invasive arterial lines in ICU patients and applying machine-learning to additional biosignals (PAT, PTT, PEP), the study will gauge accuracy, predict patient decompensation, and test clinical usability. Success would lay the groundwork for R01-level funding and commercialization, ushering in precise, proactive cardiovascular care for hypertension, hypotension, sepsis, and dysautonomia.

IDIES Seed And Fellowship Awardees (2022)

Development of an Artificial intelligence System for Phenotyping of Patients with Acute Stroke
PI: Rama Chellappa, PhD (Bloomberg Distinguished Professor, Department of Electrical and Computer Engineering, Department of Biomedical Engineering) Co-I: Robert D. Stevens, MD

Johns Hopkins Discovery Award (2022)

Development of an Artificial Intelligence System for Phenotyping of Patients with Acute Stroke
PIs – Rama Chellappa PhD (Engineering) & Robert Stevens MD (Medicine)

Johns Hopkins ICTR ATIP Grant (2021)

To study computational subphenotype of Traumatic Brain Injury

Johns Hopkins ACCM StAAR Award (2020)

Computational Signatures for Traumatic Brain Injury Prediction and Classification

Johns Hopkins Discovery Award (2019)

Cardiac Arrest Subphenotype Discovery Using a Very Large Intensive Care Database

Bridge2AI: Patient-Focused Collaborative Hospital Repository Uniting Standards (CHoRUS) for Equitable AI (3OT2OD032701-01S2)

The CHoRUS project—part of the NIH Bridge2AI initiative—is building a high-resolution, multi-center dataset from 100,000+ critically ill patients to power reliable, privacy-preserving AI for acute and critical care. Combining rigorous data standards, robust ethical safeguards, and team-science training, the program will release a publicly available, OMOP-formatted dataset (with a reserved external-validation set) while cultivating the next generation of AI-ready clinicians and researchers.

An Artificial Intelligence System for Prediction and Detection of Intensive Care Delirium (R33AG071744)

NIDUS II is an expanded, interdisciplinary network dedicated to accelerating delirium research and treatment for older adults, including those living with Alzheimer’s disease and related dementias. Building on the successful NIDUS I platform, the project harmonizes measurement methods, grows a collaborative research hub, funds pilot studies in four priority areas (measurement, pathophysiology, clinical trials, and delirium–ADRD interactions), and offers targeted training for early-stage investigators—creating the scientific foundation needed to develop safe, effective therapies for this costly and life-threatening condition.