Search Results - sandeep+gupta

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CPS-LLM: Large Language Model-Based Safe Usage Plan Generator for Human-in-the-Loop Human-in-the-Plant Cyber Physical Systems
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...
Published: 9/12/2024   |   Inventor(s): Sandeep Gupta, Ayan Banerjee
Keywords(s):  
Category(s): Physical Science, Wireless & Networking, Applied Technologies
Seizure Onset Zone (SOZ) Localization from rs-fMRI in Pediatric Epilepsy
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...
Published: 8/27/2024   |   Inventor(s): Sandeep Gupta, Ayan Banerjee, Payal Kamboj
Keywords(s):  
Category(s): Computing & Information Technology, Life Science (All LS Techs), Imaging, Medical Imaging
Automated Unsupervised Identification of Seizure Onset Zone in Functional MRI
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...
Published: 6/30/2023   |   Inventor(s): Ayan Banerjee, Sandeep Gupta, Varina Boerwinkle
Keywords(s):  
Category(s): Computing & Information Technology, Life Science (All LS Techs), Medical Diagnostics/Sensors, Medical Imaging, Imaging
A Two Step Mechanism to Evaluate Automated Feedback in Gesture Recognition Used for Education
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...
Published: 2/23/2023   |   Inventor(s): Sandeep Gupta, Ayan Banerjee, Sameena Hossain
Keywords(s): Educational, Mechanical and Manufacturing, Therapeutics, Transportation
Category(s): Computing & Information Technology, Physical Science
Infrastructure for Gesture-Based Virtual Education
­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)...
Published: 2/23/2023   |   Inventor(s): Ayan Banerjee, Sandeep Gupta, Prajwal Paudyal
Keywords(s): Networks, IT, Software and Communication
Category(s): Physical Science, Computing & Information Technology, Educational
Safety Assurance of Cyber-Physical System Control Code by Analysis of Input/Output Response and Observed Behavior
­Background Cyber-physical systems (CPSs) involve complex interacting components including the physical environment and human participants. As such, faulty operation of any CPS sub-component presents serious safety risks. Faulty CPS operation can occur due to several reasons including differences in architectures and sub-optimal implementation....
Published: 2/23/2023   |   Inventor(s): Sandeep Gupta, Ayan Banerjee, Imane Lamrani
Keywords(s): Bio-Technology, Mechanical and Manufacturing, Medical Devices and Imaging, Transportation
Category(s): Physical Science, Computing & Information Technology, Medical Devices, Manufacturing/Construction/Mechanical, Intelligence & Security
Optimizing Safety Certification of Cyber-Physical Systems
­Background Safety certification of cyber-physical systems (CPS) such as autonomous vehicles or medical control systems is a complex process that often contends with a lack of transparency between the manufacturer and the certifying authority. The manufacturer may be reluctant to freely share knowledge with the certification authority, with trade...
Published: 2/23/2023   |   Inventor(s): Sandeep Gupta, Ayan Banerjee, Imane Lamrani
Keywords(s): Bio-Technology, Mechanical and Manufacturing, Medical Devices and Imaging
Category(s): Physical Science, Computing & Information Technology, Medical Devices, Manufacturing/Construction/Mechanical
Hybrid Automata Mining from Input/Output Traces of Cyber-Physical Systems
Background Hybrid systems are versatile in modeling the interaction between the cyber and physical components of cyber-physical control systems (CPS) such as artificial pancreases. They are typically used for analysis of safety of the human-centric control systems which have serious consequences of failure. As such, hybrid systems are parameterized...
Published: 2/23/2023   |   Inventor(s): Sandeep Gupta, Ayan Banerjee, Imane Lamrani
Keywords(s):  
Category(s): Physical Science, Computing & Information Technology, Medical Devices
Machine Recognition of New Gestures After Training with Sign Language
Background In American Sign Language (ASL), all of the nearly 10,000 gestures for English words are composed using a set of over 80 handshapes, six locations and around 20 unique movements. Each handshape, movement, and location has a semantic relation with the English word and can be considered as concepts. Each gesture can be expressed using a unique...
Published: 2/23/2023   |   Inventor(s): Sandeep Gupta, Ayan Banerjee
Keywords(s):  
Category(s): Physical Science, Educational, Computing & Information Technology, Intelligence & Security
Continuous COVID-19 Symptom Monitoring Using Machine Learning
Researchers at Arizona State University have developed a system that employs machine learning (ML) to monitor symptoms of COVID-19 infections. Continuous symptom monitoring at home combined with machine-learning-based trend analysis can remove condition ambiguity and streamline the following processes: a) self-quarantine under medical supervision, b)...
Published: 2/23/2023   |   Inventor(s): Sandeep Gupta, Ayan Banerjee
Keywords(s):  
Category(s): Coronavirus, COVID-19, SARS-CoV-2, Physical Science, Computing & Information Technology, Medical Diagnostics/Sensors
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