The awards are given to academics who have made an impact in their field of study and could potentially become academy inductees.
Three UCF faculty members have been recognized by the Academy of Science, Engineering and Medicine of Florida (ASEMFL) for the impact they’ve had on their fields of study. Associate professors Ranajay Ghosh and Chen Chen of the College of Engineering and Computer Science and Associate Professor Lindsay Taliaferro of the College of Medicine have been named 2024 Rising Star awardees and will be recognized at the ASEMFL annual meeting on Nov. 1.
The Rising Stars are selected based on their academic and scientific contributions to the field as well as their potential to become future ASEMFL inductees. This year, a total of 19 Rising Star awards will be given to mid-career academics from both public and private universities in the state.
“ASEMFL recognizes the importance of new investigators whose work shows great promise in addressing critical issues towards ensuring the growth and success in its mission,” says Angela Laird, the ASEMFL secretary and a distinguished university professor at Florida International University. “Through the Rising Stars program, ASEMFL hopes to engage with mid-career researchers more actively throughout the State of Florida, anticipating that these individuals will provide valuable insight for how to grow the society and ensure its continued relevance for current and future generations.”
Chen was recognized for pioneering advancements in real-time, privacy-preserving video analytics and impactful contributions to public safety and healthcare engineering.
Chen, an associate professor of computer science, is highly cited and recognized globally for his work in computer vision. His work on deep learning algorithms for edge computing was supported by organizations like Intel and the National Science Foundation. Within the past decade, he’s published more than 80 journal articles, and has served as an associate editor for multiple research journals. He holds two patents for the development of depth sensors for movement recognition and for a wearable medication adherence monitor.