- MOSAIC Lab Member Ascends to Assistant Professorship at USF!
We are thrilled to announce that previous MOSAIC lab member, John M. Templeton, Ph.D., has embarked on a new academic journey as an Assistant Professor in the Department of Computer Science and Engineering at the University of South Florida! Congratulations Dr. Templeton!! - ACM-BCB 23 Conference
MOSAIC lab member presented at the 14th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) held in Houston, Texas, in September 2023. As ACM-BCB brought together a host of professionals for the world’s leading interdisciplinary conference in the fields of bioinformatics, computational biology, and health informatics, our work titled “Beyond Motor Symptoms: Toward a Comprehensive Grading of Parkinson’s Disease Severity” spurred both interest… Read more: ACM-BCB 23 Conference - MEDINFO23
We are thrilled to announce that our research paper, “Pandemic Management – Health Data and Public Health Surveillance,” has been accepted as a poster presentation at the upcoming MedInfo 2023 conference, which will be held in Sydney, Australia, in July!
The MOSAIC (Mobile Sensing and Analytics) Lab at Florida International University (FIU) investigates how mobile, wireless, and wearable computers and sensors can be used to address many pressing problems in areas such as healthcare, conservation, transportation, education, and more. Our lab studies a variety of sensing challenges, such as how to design participatory and opportunistic data collections at large scales and over long period of times, how to fuse many different sensing modalities, how to use context information to increase the sensing efficiency and the quality of the collected data, and how to do all that in a secure and privacy-conserving manner. From an analytics perspective, we use the collected data to obtain insights into user behavior and to provide opportunities for the early detection of various diseases and to monitor disease progression or patient recovery. We also investigate how to use the insights obtained from the sensor data to to develop new solutions in areas such as smart cities, smart transportation, and wireless communications. Our work also investigates how to develop machine and deep learning techniques that can provide timely decisions and outputs on resource-constrained and distributed systems.