Opportunities & Awards


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.


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