Helen Huang and her lab are building better prosthetics by enhancing them with robotics and AI. This article was originally published on October 29th, 2024, by Alyssa LaFaro with UNC Research Stories and can be read here. On Labor … Read more
Amol Yadav, assistant professor in the Joint Department of Biomedical Engineering at UNC-Chapel Hill and NC State, was honored with the National Institutes of Health (NIH) Director’s New Innovator Award for his research in sensory augmentation. According to the NIH, … Read more
Varun Nalam, Post-doc, Brendan Driscoll, Ph.D. student, and He (Helen) Huang, Ph.D., Jackson Family Distinguished Professor of the Neuromuscular Rehabilitation Engineering Laboratory (NREL)’s, were invited to give an American Institute for Medical and Biological Engineering (AIMBE) tech demo at the … Read more
written by Kathleen Clardy for Joint BME Communications Miranda Ludovice, a Ph.D. student in the Joint Department of Biomedical Engineering based at NC State University, has been awarded a prestigious Goodnight Doctoral Fellowship for her research focus in rehabilitative … Read more
We are working to establish a program which we believe is unique in the country. Our students are simultaneously students at two major universities with full privileges at both universities. NC State is home to a nationally ranked College of Engineering and Veterinary School, and UNC is home to the nationally ranked UNC hospital.
Professor Nagle focuses his research on biomedical sensors and medical devices. In recent years he has been active in research projects in machine olfaction. He is currently President of the IEEE Sensors Council. He served as IEEE President in 1994 and was elected a Fellow of the AIMBE in 1998.
Dr. Huang’s research interest lies in neural-machine interfaces for robotic prosthetic limbs and exoskeletons, wearer-robot interaction and co-adaptation, adaptive and optimal control of wearable robots, and human movement control.
Dr. Grant researches into cognitive robotics, medical robotics, and intelligent control via wireless sensor networks. Projects under these topics include, robot colony control via evolutionary algorithms, mobile robot navigation and planning via received signal strength from “mote-like” wireless sensor networks, wearable sensing and control of venous blood flow, automated cell micro-actuation and micro-injection, musculoskeletal modeling and analysis for rehabilitation robotics.
A major research focus in the Gallippi laboratory is acoustic radiation force-based elastographic ultrasound technologies, which diagnose and monitor diseases by noninvasively interrogating the mechanical properties of tissue. We design custom imaging beam sequences that are implemented on clinical ultrasound imaging systems, and we develop novel signal and image processing methods to exploit the pertinent diagnostic information in our data. I have a particular interest in adaptive regression methods, including Principle Component Analysis and other Blind Source Separation techniques, as well as in multi-dimensional tissue motion estimation methods. We validate our methods in relevant animal models, and we translate them to clinical imaging.
