Hugo F. Posada-Quintero,
Assistant Professor in the Department of Biomedical Engineering
My research includes the development of signal processing techniques, wearable instrumentation, and sensors for biomedical applications. Specifically, the aim of my research is to develop models and biomedical instrumentation for the detection and prediction of stress, fatigue, pain, emotional state, hydration status, wakefulness, cognitive performance, and heart failure, among others. We use modern mathematical tools to process bioelectrical signals obtained from different sites of the body, like the electrocardiogram, electromyogram, photoplethysmogram, and electrodermal activity, and explore the relationship between those signals and the biomedical variable being detected or predicted. Our mathematical processes are focused on the development of more sensitive biomarkers and features, and the development of multimodal algorithms (multiple signals combined). In addition, we use our novel features and train artificial intelligence tools (machine learning and deep learning algorithms) for the development of more accurate models. Furthermore, we develop novel sensors and electronic devices to better capture electrophysiological signals using portable and wearable devices.
Shalabh Gupta received his M.S. degrees in mechanical and electrical engineering, and his Ph.D. degree in mechanical engineering from the Pennsylvania State University, University Park, PA, USA, in 2004, 2005, and 2006, respectively. He is currently an Associate Professor at the Department of Electrical and Computer Engineering, University of Connecticut. His current research interests include distributed autonomy, cyber–physical systems, robotics, network intelligence, data analytics, information fusion, and fault diagnosis in complex systems. Dr. Gupta has published more than 120 peer-reviewed journal and conference papers with his graduate and undergraduate students. 
Mainak Mondal earned his Bachelor's degree in Computer Applications from Vellore Institute of Technology, Vellore, India, in 2018, and his M.S. in Information Systems and Instrumentation Engineering from Tomsk State University, Tomsk, Russia, in 2020. He has held various industrial design positions at multinational companies in India and engineering roles in research laboratories in Russia. Currently, he is pursuing his Ph.D. in Computer Science and Engineering at the University of Connecticut. His research interests include aerial robotics, control systems, cyber–physical systems, sensor fusion, and applied AI in robotic systems.
