Opportunities & Awards
2026 Funding Opportunities
The College of Engineering and Computer Science, the College of Medicine, and the College of Nursing, through their collaborative Center for SMART Health, along with the College of Social Work and Criminal Justice, are delighted to announce the 3rd seed funding initiative open to the whole university community. This initiative focuses on health and in particular, the following areas: (1) cancer, (2) neurodegenerative diseases, (3) social and behavioral health with a focus on substance abuse and addiction, (4) applications of artificial intelligence and data science, (5) leveraging the TriNetX database for clinical and translational research, and (6) strategies for data collection and the development of clean, high-quality analytics pipelines. Interdisciplinary proposals are highly encouraged. Proposals should demonstrate how the team’s combined expertise will advance knowledge, foster innovation, and generate measurable impact in these priority areas. It is expected that successful teams submit an external grant application within 18 months of receiving the award.
- Proposal Submission Date: 5 pm, February 27, 2026
- Award Announcement: April 1, 2026
- Grant Support Duration: July 1, 2026 – June 30, 2027
If you have any questions, please contact smarthealth@eng.fau.edu
2024 Funding Opportunities
The Center for SMART Health is delighted to announce the 2024 seed funding opportunity, specifically seeking transdisciplinary proposals that emphasize 1) the use of data analytics related to local health systems/hospitals, such as Boca Raton Regional Hospital and Network and Memorial Regional Hospital, or 2) focus on basic science research with the eventual goal of technology transfer through collaboration with industry partners.
Proposal submission date: 5 pm, Friday, May 10, 2024.
Research Internship / Assistantship
Students who are interested in the SMART health research are suggested to inquiry affiliated faculty and labs about research internship and assistantship opportunities.
Seed Funding 2024 Awardees
Project: CALLM: Clinical Assistance Large language Model for Proactive Identification and Linkage of Patients to Care with Undiagnosed HIV Infection
Team:
- Xingquan Zhu, PhD, FIEEE, College of Engineering and Computer Science, FAU
- Eric Boccio, MD, MPH, Memorial Healthcare System
- Paula A. Eckardt, MD, FACP, FIDSA, MHS Ryan White Clinic, Memorial Healthcare System
Project: A Machine Learning-Driven Smart Technology to Provide Clinicians Individualized pharmacogenetic Based Precision Prescribing recommendations
Team:
- Richar Shih, MD, Charles E. Schmidt College of Medicine, FAU
- Mike Wells, MD, PhD, Charles E. Schmidt College of Medicine, FAU
- Ali Asghar Danesh, PhD, FAAA, CCC-A, College of Engineering and Computer Science, FAU
- Abhijit Pandya, PhD, College of Engineering and Computer Science, FAU
Project: Machine Learning Analysis & Assessment of a Non-invasive Intervention in Long COVID
Team:
- Adar Pelah, PhD, Center for Complex Systems & Brain Sciences, FAU
- Saiya George Dalmida, PhD, Christine E. Lynn College of Nursing, FAU
- Debarshi Datta, PhD, Christine E. Lynn College of Nursing, FAU
- Hari Kalva, PhD, College of Engineering and Computer Science, FAU
- Ali A. Danesh, PhD, College of Education, FAU
- David Newman, PhD, Christine E. Lynn College of Nursing, FAU
Inaugural Seed Funding 2023 Awardees
Project: Development of a Multi-Scale Predictive Model for COVID-19 Patient Outcomes and Long-Term Health Effects
Team:
- Debarshi Datta, PhD. Christine E. Lynn College of Nursing
- Laurie Martinez, PhD, MBA, MSN, RN. Christine E. Lynn College of Nursing
- Safiya George, PhD, APRN-BC, FNAP, FAANP. Christine E. Lynn College of Nursing
- Taghi M. Khoshgoftaar, PhD. Department of Electrical Engineering and Computer Science, College of
- Engineering and Computer Science
- David Newman, PhD. Christine E. Lynn College of Nursing
Project: Regenerative Peripheral Neural Interface (RPNI) on a Chip for Dexterous Prosthetic Hands
Team:
- Dr. Erik D. Engeberg, Department of Ocean & Mechanical Engineering, College of Engineering and Computer Science
- Dr. Jianning Wei, Department of Biomedical Science, Charles E. Schmidt College of Medicine
Project: TUNAA—Telehealth Use of a Nystagmus Analyzer Algorithm
Team:
- Ali A. Danesh, Department of Communications Sciences & Disorders, College of Education
- B. Sue Graves, Department of Exercise Science and Health Promotion (ESHP), Charles E. Schmidt College of Science
- Sajeel Chowdhary, Charles E Schmidt College of Medicine
- Abhijit Pandya, Professor, Department of Electrical Engineering & Computer Science, College of Engineering and Computer Science