HealthCare
PROJECTS
COMPLETED PROJECTS
Machine Learning Model for User Performance Monitoring for Deep-Space Travel
Due to health and safety concerns for deep space missions, spacecrafts are in need of an intelligent human-computer interface that allows for monitoring of astronauts’ interaction with the system and of the overall health of the spaceship. This means that the system will monitor astronauts daily interactions to establish a baseline of their normal activity which will then be used to make sure they are acting to the best of their ability. The concept will statistically analyze the given inputs from the astronauts which is tested against the training data set to acknowledge if the user is performing nominally or off-nominally. Also, in the case of an emergency, If the user is unable to mitigate emergencies to keep the spacecraft safe, then the system can recognize they are off-nominal and will correct their mistakes.
Role: Adviser
Institution: Texas A&M University-Corpus Christi, USA
Period: Fall 2019 - Spring 2020
Agency: LSAMP - Texas space Grant Consortium (TSGC)
Overwatch-M System
Novel approach that combines Bayesian theory with mixed reality (MR) to assess the user’s sensorimotor control.
Role: Adviser
Institution: Texas A&M University-Corpus Christi, USA
Period: Spring 2018 - Fall 2019
Agency: LSAMP - TAMU-CC
Variable Magnetic Field for Exercise Device for Space Exploration
Determine the 3D position and orientation of a magnetic source, we will gather and compute the magnetic flux density components of the source and properly filter and arrange the data.
Role: Adviser
Institution: Texas A&M University-Corpus Christi, USA
Period: Fall 2019
Agency: LSAMP - TAMU-CC
Real FIT
Mixed Reality strategy to motivate older adults to exercise.
Role: Principal Investigator
Institution: Texas A&M University-Corpus Christi, USA
Period: Summer 2018 - Spring 2019
Agency: Texas A&M Engineering Experiment Station (TEES)
Implementation of Magnetic Tracking System in Human Ranges of Motion
Determine the 3D position and orientation of a magnetic source, we will gather and compute the magnetic flux density components of the source and properly filter and arrange the data.
Role: Adviser
Institution: Texas A&M University-Corpus Christi, USA
Period: Fall 2018
Agency: LSAMP - TAMU-CC
Modular Robotic System for Assessment and Exercise of Human Movement
This project proposes the development of a low-cost, portable, modular robotic system to improve the mobility and agility of post-stroke patients. Post-stroke patients face a huge economic burden as traditional rehabilitation paradigms require both equipment and assistance, and are labor intensive for therapists; immobility of the patients also demands the presence of caregivers, which contributes to increasing costs. This project addresses these challenges by developing a basic understanding of the research issues and techniques involved in building a therapeutic robotic system for providing easy and affordable rehabilitation exercises to post-stroke patients.
Principal Investigator (PI)
Institution:University of Nebraska at Omaha (UNO), USA
Period: 2015 - 2016
Agency: Peter Kiewit Institute
Website: Link
Modular Robotic System for Muscular Strength Training During Long-Term Space Missions
This project targets the problem of developing a compact, semi-autonomous and lightweight modular robotic system for addressing muscular atrophy for astronauts in long-term space missions. The target application relates the use of ModRED to perform essential and potentially robot configurations that can be used to exercise muscles while the system is inside the International Space Station (ISS).
Principal Investigator (PI)
Institution: University of Nebraska at Omaha (UNO), USA
Period: 2014 - 2015
Agency: NASA Nebraska Space Grant
Website: Link
Towards Autonomous Visual Navigation of a Colonoscope Robot
Principal Investigator (PI)
Institution: University of Nebraska at Omaha (UNO), USA
Period: 2015 - 2016
Agency: Fund for Undergraduate Scholarly Experiences (FUSE)
In-VERS
Development of a Disposable Fluidic Self-Propelling Robot for Colonoscopy procedures. The main objective is to reduce trauma and discomfort to patients and facilitate wide-scale screening.
Adviser
Institution: University of Nebraska at Omaha (UNO), USA
Period: 2013 – 2014
Agency:
Website: Link