Ralph Valentin is a Doctor of Engineering (D.Eng.) student in the Department of Multidisciplinary Engineering, and he will join the Optical Bio-Sensing Lab (OBSL) in Fall 2024. His focus will be on developing wearable and noninvasive point-of-care biomedical devices to monitor physiological parameters. Prior to pursuing his D.Eng., he completed his Bachelor of Science in Biomedical Engineering and Master of Science in Engineering Management at Florida International University. With over 5 professional years of cumulative technical and leadership experience, his expertise lies in project management, design verification and validation, design control, test methods development, process development, and improvement. Ralph has also served in the United States Military as both an enlisted member and a commissioned officer. He is currently an Engineer Officer in the Army Reserve.
Priyanka Vasanthakumari
Priyanka Vasanthakumari is a first year PhD student and her research focuses on developing assays for detecting congestive heart failure diseases based on Surface Enhanced Raman Spectroscopy. She completed her Bachelor’s degree in Electronics and Instrumentation Engineering from University of Kerala and Master’s degree in Biomedical Engineering from Indian Institute of Technology Madras, India.
Anna Wisniowiecki
Anna Wisniowiecki received her B.S. degree in biomedical engineering from Texas A&M University. Anna is a graduate student in the Optical BioSensing Laboratory pursing a M.S. in biomedical engineering. Her research interests include design of optical and acoustic systems. Her current research focuses on developing an acoustofluidic platform for point-of-care applications.
Fatemeh Zare
In 2019, I completed my undergraduate degree in Biomedical Engineering at Amirkabir University of Technology with a focus on biomedical signal and image processing. I started my Ph.D. in Computer Engineering in the Department of Electrical and Computer Engineering at Texas A&M University and joined the lab in Spring 2024. My research focuses on improving the capabilities of wearable healthcare devices by integrating advanced engineering principles, such as machine learning algorithms.