Expertise
Biomedical Robotics, Connected Healthcare, Biomedical/Rehabilitative/Assistive Device Design and Control, Biosignal Interfaces, Applied Linear/Nonlinear Control and Estimation
Research Interests
Biomedical Robotics, Connected Healthcare, Biomedical/Rehabilitative/Assistive Device Design and Control, Biosignal Interfaces, Applied Linear/Nonlinear Control and Estimation
Education
- Postdoctorate: Bioengineering (2020), Harvard University, Cambridge, Mass.
Focus: Biomedical Control of an Artificial Pancreas to Enhance Automated Insulin Delivery - Ph.D.: Mechanical Engineering (2018), The Pennsylvania State University, University Park, Penn.
Dissertation Title: Preparing the Automated Future for Wheelchair Users Through Motion Prediction and User Input-Based Intent Inference - M.S.: Mechanical Engineering (2016), The Pennsylvania State University, University Park, Penn.
- B.S.: Engineering with a Specialization in Mechanical Engineering (2012), Roger Williams University, Bristol, R.I.
Biosketch
Kelilah Wolkowicz, Ph.D., is a mechanical engineer at the University of Massachusetts Lowell. Wolkowicz聽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鈥� needs to remain, as much as possible, integrated socially and productively as members of their communities. She is an engineering faculty advocate for the River Hawk Scholars Academy, an engineering faculty fellow for DifferenceMaker, and a faculty advisor for the Society of Women Engineers UML chapter.
Selected Awards and Honors
- National Science Foundation Graduate Research Fellow (2012)
Selected Publications
- K. Wolkowicz, F. J. Doyle, III, E. Dassau, 鈥�,鈥� In: Baillieul J., Samad T. (eds) Encyclopedia of Systems and Control. Springer, London. 2020.
- E. Aiello, S. Deshpande, B. Ozaslan, K. Wolkowicz, E. Dassau, F. J. Doyle III, 鈥�.鈥� Current Opinion in Biomedical Engineering. June 2021; 19: 100312.聽
- K. Wolkowicz, E. Aiello, E. Vargas, H. Teymourian, F. Tehrani, J. Wang, J. Pinsker, F. J. Doyle III, M-E. Patti, L. Laffel, E. Dassau, 鈥�,鈥� Bioengineering & Translational Medicine, e10201, 2020.聽
- K. Wolkowicz, R. Leary, J. Moore, S. Brennan, 鈥�,鈥� ASME Letters of Dynamic Systems and Control, 1(1):1-6, 2020.聽
- K. Wolkowicz, J. Pentzer, C. Miller, J. Moore, S. Brennan, 鈥淎n Instantaneous Center of Rotation-Based Extended Kalman Filter Approach for the On-Line Estimation of Wheelchair Tire Slip,鈥� ASME Journal of Dynamics Systems, Measurement and Control, 141(12), 2019.
- K. Wolkowicz, J. Moore, P. McLaughlin, 鈥淣ovel Pneumatic Device for High Speed Needle Insertion in Brachytherapy,鈥� Journal of Medical Devices, 7(3):030945, 2013.
Selected Presentations
- K. Wolkowicz, E. Vargas, H. Teymourian, F. Tehrani, J. Pinsker, M. Church, M. Piper, F. J. Doyle III, M-E. Patti, L. Laffel, J. Wang, E. Dassau, 鈥淭owards Point-of-Care Devices: First Evaluation of an Insulin Immunosensor for Types 1 Diabetes鈥�, selected oral abstract presentation at the American Diabetes Association鈥檚 80th Scientific Sessions, Chicago, IL, Jun. 12-16, 2020.
- V. Sarwal, K. Wolkowicz, S. Desphande, J. Wang, J. Pinsker, L. Laffel, M.E. Patti, F. Doyle III, E. Dassau, 鈥淚nvestigating Effects of Insulin Estimation on Future Insulin Sensors鈥� Design and Implication for Diabetes Management鈥�, poster presented at Advanced Technologies & Treatments for Diabetes, Madrid, Spain, Feb. 19-22, 2020.
- K. Wolkowicz, H. Sun, A. Geronimo, Z. Simmons, B. Gluckman, J. Moore, S. Brennan. "Establishing a correlation between left/right brain signals and left/right joystick motion using simulated and real-world robotic wheelchair guidance," poster presented at the 4th ASU Rehabilitation Robotics Workshop, Arizona State University, Tempe, AZ, Feb. 8-9, 2016.
Research Currently in Progress
- Wheel Up: Engaging Communities in the Development of a Wheelchair Training Simulator for Diverse Bodies
- Development of a Novel Machine Learning Algorithm for Predicting Clinical Diagnosis of Pediatric Traumatic Brain Injury