Adhesive-integrated Stretchable Electronics Systems

14th September 2023

Timing : 1 pm EST

Please use this zoom link for joining the webinar

For a list of all talks at the NanoBio seminar Series Fall'23, see here


We will discuss the development of adhesive-integrated stretchable electronic systems that wed microfabrication and screen-printing methods with a mindset of manufacturing scalability. This enables a class of minimally obtrusive systems that combine sensing of multiple modalities, integration of dies or thinly packaged chips, and antennas for fully functional miniaturized wireless systems to transmit physiologic information. We will demonstrate how these approaches are compatible with existing large-scale manufacturing, soldering, and roll-to-roll processing techniques. We will also demonstrate applications of these systems in monitoring electrophysiology of the brain and stomach, as well as core body temperature, for neurology, gastroenterology, and vital signs monitoring applications, respectively. Altogether, we will discuss implications of our work, particularly for widening the scope of opportunities for population health.



Snow
Dr. Todd Coleman
Associate Professor
Department of Bioengineering
Stanford University

Todd P. Coleman received B.S. degrees in electrical engineering (summa cum laude), as well as computer engineering (summa cum laude) from the University of Michigan. He received M.S. and Ph.D. degrees from MIT in electrical engineering and did postdoctoral studies at MIT in neuroscience. He previously held faculty positions in Electrical & Computer Engineering and Neuroscience at the University of Illinois and in Bioengineering at UC San Diego. He is currently the Yu Family Faculty Scholar in the School of Engineering and an Associate Professor in the Department of Bioengineering at Stanford University. Dr. Coleman’s research is very multi-disciplinary, using tools from applied probability, physiology, and bioelectronics. His research spans from developing fundamental information theory and machine learning techniques to developing technologies to monitor and modulate physiology of the nervous systems in the brain and visceral organs. He has been selected as a National Academy of Engineering Gilbreth Lecturer, as a Fellow of IEEE, and a Fellow as the American Institute for Medical and Biological Engineering. He is currently the Chair of the National Academies Standing Committee on Biotechnology Capabilities and National Security Needs.