Overview of Current Research
My lab's interdisciplinary research lies at the intersection of neuroscience, control theory, and machine learning, aiming to develop novel modeling and closed-loop adaptive control approaches that accelerate next-generation electrical stimulation-based therapies for neurological, psychiatric, and cardiovascular diseases. Currently, most electrical stimulation technologies are open-loop, and various stimulation parameters are manually titrated by expert clinicians, resulting in the treatment’s non-optimal efficacy and severe side effects post-therapy, including multiple visits to clinicians to adjust stimulation parameters. Closed-loop (or adaptive) electrical stimulation, utilizing optimal feedback control principles, holds great promise in achieving the desired therapeutic efficacy while minimizing side effects, thereby paving the way for the development of next-generation intelligent electrical stimulation-based therapies for brain and cardiovascular diseases. This is a cutting-edge topic with high interest in neurotechnology.