Dr. Khan is actively engaged in advancing the emerging field of NeuroRobotics through her research endeavors. Her work entails a creative fusion of neuroscience, robotics, and engineering, with a particular focus on human-robot interactions, autonomous behaviors, and intelligent sensor systems. This multidisciplinary approach leverages her expertise in computer science and engineering, complemented by her commitment to healthcare and patient well-being. Notably, her research holds great promise for addressing persistent issues related to chronic neurodegenerative conditions, such as dementia and elderly care.
Recognized for her contributions, Dr. Khan has earned the Research Initiative in Bioinformatics award, Scholarly and Creative Activity Award and has successfully secured research funding totaling $3,545,436. And is a nationally and internationally recognized speaker having given 37 invited talks in the last year and a half. Her current groundbreaking research is centered on the deployment of humanoid robots in nursing homes, with the aim of enhancing the quality of life for residents in these facilities. Through a collaboration with Monarch Healthcare Management, 16 robots are placed at eight nursing homes across Minnesota to assist nurses and staff with care of residents who have mild, intermediate and late stages of dementia and Alzheimer’s disease. This research has been featured in many media avenues including, Forbes, MPR, FOX, PBS documentary NOVA, CBS evening News by Norah O’ Donnel, NY Times , NPR , Science Times, Daily Mail- UK news, Yahoo Finance, IOT World Today, Axios News, PBS North documentary “In This Place”, ACM News, Star Tribune, Canada Bay Today etc.
Furthermore, Dr. Khan is deeply passionate about empowering women in the field of computing. She serves as the chair of the Women in Computing committee for the Swenson College of Science and Engineering and has secured grants amounting to $1,345,422 to support her initiatives aimed at fostering inclusivity and a sense of belonging for women in computer science. These funds are dedicated to human resource development in STEM, with a particular focus on addressing gender disparities.