Background Model recovery involves learning the underlying physics-driven governing equations of a system from data. The goals of model recovery include accurately reconstructing the data, and deriving the fewest terms required to represent the underlying non-linear dynamics. Current methods of model recovery involve significant performance degradation...

Background Model recovery involves extracting coefficients of governing equations of a system from input output traces. The goals of model recovery include accurately reconstructing the input output traces, and reducing error in model coefficient estimation. Current methods of model recovery involve significant performance degradation on the data from...

Epilepsy is a debilitating disorder that affects 50 million people worldwide, including one in 150 children. Some patients with epilepsy (including roughly 20-40% of children) suffer from refractory seizures despite treatment with anticonvulsants, i.e. pharmaco-resistant epilepsy (PRE), which results in increased morbidity and mortality. Early identification...

Present day autonomous systems are cyber-physical systems (CPS) that involve multi-dimensional interaction between the cyber machine and the operational environment. One of the key aspects of these autonomous systems is that interaction patterns change over the lifetime of usage. Changes in CPS interaction patterns can be unintentional or intentional...

Background Current Level 3 Autonomous systems such as Tesla FSD or Hybrid Closed Loop systems such as Medtronic 770 have both humans in charge of key decisions as well as are part of the system leading to critical need for new modeling and simulation techniques which takes into account this unique characteristics of these systems: Human in the Loop...

Background Large language models (LLMs) are advanced artificial intelligence (AI) systems trained on large amounts of text data to generate human-like responses for their end user. While they are incredibly advanced, they can sometimes produce inaccurate, biased, or harmful content. These shortcomings can be detrimental if left unchecked. By leaving...

Epilepsy is a debilitating disorder that affects 50 million people worldwide, including one in 150 children. About 20-40% of children with epilepsy suffer from refractory seizures despite treatment with anticonvulsants, i.e. pharmaco-resistant epilepsy (PRE), which results in increased morbidity and mortality. Early identification and surgical intervention...

Epilepsy is a debilitating disorder that affects 50 million people worldwide, including one in 150 children. About 20-30% of children with epilepsy have drug-resistant epilepsy (DRE), resulting in significant morbidity and mortality. Early diagnosis and treatment of DRE, particularly in children, is crucial in minimizing neurological damage. Surgery...

Background Real-time immediate feedback is known to enhance learning by providing better engagement with learners, as seen in a classroom environment with teachers. Applications with automated feedback are designed to mimic the prompt feedback provided by teachers in a classroom. Advances in artificial intelligence (AI) technology have enabled this...

­Background Advances in machine learning, artificial intelligence, and embedded computing are revolutionizing human-computer communication and cooperative learning. Cooperative learning applications include computer-aided training of military personnel and heavy equipment operators, performance coaching, and tutoring American Sign Language (ASL)...