Dr. Wilfredo Lugo

Dr. Wilfredo Enrique Lugo-Beauchamp received his B.S. (1998) and M.S. (2004) in Computer Engineering from the University of Puerto Rico at Mayagüez (UPRM), and his Ph.D. (2016) in Computer Information Sciences and Engineering, also from UPRM. He is currently an Assistant Professor in the Department of Computer Science and Engineering at the University of Puerto Rico at Mayagüez (2024–present). Previously, he served as a Senior Data Scientist at Johnson Controls Inc. in Sunnyvale, California (2022–2023), and as a Distinguished Technologist in Data Sciences at Hewlett Packard Enterprise in Aguadilla, Puerto Rico (1999–2022). His work includes research in model compression for wearable medical devices, real-time computer vision for embedded disease diagnostics, and quantization techniques for CNN-based health applications. He has contributed to advances in focal-plane processing architectures and multimedia supercomputing and has authored work on DNA sequence alignment and genome mapping algorithms.

Accurate river flow estimation is essential for water resource management, flood prediction, and environmental monitoring. Traditional river gauging stations rely on physical sensors, which can be costly and require frequent maintenance. This research proposes a novel approach leveraging low-power embedded devices equipped with cameras and computer vision-based machine learning (ML) models to estimate river flow without requiring direct water contact.