Chronic wounds present a significant burden on healthcare systems worldwide and have a substantial impact on the health and quality of life of affected individuals. The prevalence of chronic wounds is estimated to be 1 to 2% of the population in developed countries, with annual costs ranging from $20 to $50 billion in the United States alone. With an aging population and an increase in conditions such as diabetes, the prevalence of chronic wounds is expected to increase in the coming years. Innovative approaches are required to manage chronic wounds effectively, given the challenges faced by healthcare providers, including overburdened hospitals, inconsistent assessment and documentation by home health nurses, and patient-related barriers in the outpatient setting. One promising solution is the integration of smartphone technology that utilizes the sophisticated imaging capabilities of mobile devices to enable more precise, rapid, and reliable assessments. This project proposes the development of a smartphone-based chronic wound management system that utilizes machine learning (ML) models to gather accurate data on wound measurements and descriptors. The system leverages depth imaging technology on modern smartphones to produce photographs and 3-D scans of the wound, enabling the automated generation of accurate wound measurements and descriptors. These measurements include wound length, width, maximum depth, average depth, surface area, and volume, while descriptors include the percentage of wound epithelization, granulation, slough, and necrosis. The proposed work stems from collaboration with home nurses on a previous study of stoma patient care, with an extension of this study resulting from exposure to the NSF I-Corp grant; it aims to enhance the management of chronic wounds, with a smartphone-based system that facilitates efficient and precise documentation and assessment of patients' wounds. My main role in this project is to provide support in proposal editing, pitch deck creation, and conducting patient interviews to gather information about their current needs and identify helpful technologies; addressing patients' concerns and feedback, and working to incorporate new features into our system to better meet their needs.The system's use of depth imaging technology and ML models will enable healthcare providers to gather accurate data more efficiently and accurately, leading to better patient outcomes and reduced healthcare costs.

The transition to online instruction because of covid-19 necessitated a new way of delivering hands-on lab courses. We created a remote lab where students can remotely access Field Programmable Gate Arrays (FPGA) on Intel's DE1-SoC boards to complete their assignments without the need for shipping lab kits. Studying digital design could be a challenge to pre-college students due to the sheer breadth of the topic and the affordability of equipping students and institutions with expensive lab equipment. A high percentage of lower-income and underrepresented minority high school graduates start their college journey through the community college system and many students begin exploring engineering in high school, with the goal of enrolling in a four-year college to obtain a computer engineering degree. The purpose of BEADLE is to promote equitable access to educational technologies by offering an affordable platform for students to remotely access industry-grade hardware to learn and develop their skills in digital design. In addition, BEADLE aims to create a curriculum for an introductory course on digital logic intended for 2-year community college and high school students using the remote FPGA lab platform. The BEADLE curriculum works to prepare students entering a university in their junior year of a four-year computer engineering degree, where this course is typically completed during the freshman and sophomore years. We evaluated the curriculum by offering it in a sophomore class on digital logic design at a 4-year public university. Through assignments and surveys of students, it has been identified that the BEADLE curriculum has a significant positive correlation with learners understanding a variety of skills.