Monday, February 24, 2020
Kelilah Wolkowicz, PhD
Harvard John A.Paulson School of Engineering and Applied Science
Abstract: As sensor technology improves and Engineering fields draw closer to real-time measurements of critical user inputs, including metabolic biomarkers, we are faced with the challenge of how to employ this new information algorithmically. Currently, a large knowledge gap remains regarding the blending of multiple user signal inputs. Improving the performance of biomedical device control, even in the presence of challenging conditions and/or noisy, ambiguous sensory inputs from the user, is critical to enhancing an individual’s day-to-day independence.
This talk will present recent algorithm, methodology, and technology development to further enhance patient independence. Exploring methods through which dynamic systems and control theory can be used to integrate patient signal measurements with biomedical device control, we can improve treatment management in creative, meaningful ways. Dr. Wolkowicz will present her research on robotic wheelchair design and the development of an artificial pancreas. She will then outline the future research projects with respect to robotic assistive device design, wearable robotic device development, and human-robot interaction. This branch of research has important applications in the effective and safe assistance for a broad range of the population, including elderly, as well as alternately-abled persons in their daily activities.
Biography: Dr. Kelilah Wolkowicz studies problems in healthcare that could be solved by applying design, control theory, and robotics. Her research focuses on developing methods and mechanisms to further enhance or promote patient independence, while addressing patients’ needs to remain, as much as possible, integrated socially and productively as members of their communities. Currently, she is a Postdoctoral Fellow with Frank Doyle, III and Eyal Dassau at Harvard University, where she is developing estimation and control algorithms in conjunction with multiple biomarkers to enhance automated insulin delivery in an artificial pancreas for people with Type 1 Diabetes Mellitus. Kelilah has a Ph.D. from the Pennsylvania State University in Mechanical Engineering, where her research focused on the system design and control of a more responsive robotic wheelchair to help people with neuromuscular diseases. She received her B.S. from Roger Williams University in Engineering.
Department of Biomedical Engineering