# overview
My research interests include end-to-end research on medical embedded systems and the application of data mining and machine learning algorithms necessary to make personalized, preventative medical treatments possible through advanced health analytics . My background is in embedded systems design, where I studied sensor fusion, reconfigurable architectures and systems, hardware accelerators, and gpu computing. During my Ph.D. I applied data mining and machine learning techniques to these systems to develop a personalized, exercise-level activity-recognition video game with wearable sensors. I am now primarily concerned with the ability to use supervised and unsupervised techniques to learn more about medical prediction and risk-stratification in order to better develop personalized medical systems, prediction models, comparative effectiveness techniques, and combine wearable sensors and other necessary data to make a clinical impact at the system level, provider level, and patient level.

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Networking And Information Technology R&d

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4603 Computer Vision And Multimedia Computation

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Clinical Trials And Supportive Activities

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Networking And Information Technology R&d

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Networking And Information Technology R&d

# educationAndTraining[].organization.label
University of California Los Angeles - (Los Angeles, California, United States)

# educationAndTraining[].organization.label
University of California, Berkeley - (Berkeley, California, United States)

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Applied Mathematics (with Specialization in Computer Science Algorithms)

# educationAndTraining[].organization.label
University of California, Berkeley - (Berkeley, California, United States)

# educationAndTraining[].field
Electrical Engineering and Computer Science

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A Human-centered Wearable Sensing Platform with Intelligent Automated Data Annotation Capabilities

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Association for Computing Machinery (ACM)

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The Rickettsia Endosymbiont of Ixodes pacificus Contains All the Genes of De Novo Folate Biosynthesis.

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Near-realistic mobile exergames with wireless wearable sensors.

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Institute of Electrical and Electronics Engineers (IEEE)

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Monitoring Lung Mechanics during Mechanical Ventilation using Machine Learning Algorithms.

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Institute of Electrical and Electronics Engineers (IEEE)

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Dynamic Task Optimization in Remote Diabetes Monitoring Systems.

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Institute of Electrical and Electronics Engineers (IEEE)

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Quantitative assessment of hand motor function in cervical spinal disorder patients using target tracking tests.

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Journal of Rehabilitation Research & Development

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High performance biomedical time series indexes using salient segmentation

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High performance biomedical time series indexes using salient segmentation.

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Institute of Electrical and Electronics Engineers (IEEE)

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Analysis of Machine Learning Techniques for Heart Failure Readmissions.

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Robust Human Intensity-Varying Activity Recognition using Stochastic Approximation in Wearable Sensors

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Institute of Electrical and Electronics Engineers (IEEE)

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Multi-dimensional Signal Search With Applications in Remote Medical Monitoring

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Institute of Electrical and Electronics Engineers (IEEE)

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Probabilistic segmentation of time-series audio signals using Support Vector Machines

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Prediction of Adverse Events in Patients Undergoing Major Cardiovascular Procedures.

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Institute of Electrical and Electronics Engineers (IEEE)

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Knowledge-driven dictionaries for sparse representation of continuous glucose monitoring signals.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Near-realistic Motion Video Games with Enforced Activity

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

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A Survey on Smart Homes for Aging in Place Toward solutions to the specific needs of the elderly

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Institute of Electrical and Electronics Engineers (IEEE)

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Support Vector Regression to Estimate the Metabolic Equivalent of Task of Exergaming Actions

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Institute of Electrical and Electronics Engineers (IEEE)

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Determining the Single Best Axis for Exercise Repetition Recognition and Counting on SmartWatches

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Institute of Electrical and Electronics Engineers (IEEE)

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User-centric exergaming with fine-grain activity recognition

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Association for Computing Machinery (ACM)

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Multiple Model Recognition for Near-Realistic Exergaming

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Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
A wireless body-wearable sensor system for designing physically interactive video games

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A pervasive assessment of motor function: a lightweight grip strength tracking system.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

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Prediction of ICU Readmissions Using Data at Patient Discharge.

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Institute of Electrical and Electronics Engineers (IEEE)

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Dynamic Computation Offloading for Low-Power Wearable Health Monitoring Systems.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

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A Monte Carlo Approach to Biomedical Time Series Search

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Aggregated Indexing of Biomedical Time Series Data.

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Institute of Electrical and Electronics Engineers (IEEE)

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MET Calculations from On-Body Accelerometers for Exergaming Movements

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

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Impact of Sensor Misplacement on Estimating Metabolic Equivalent of Task with Wearables

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

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A comparison of piezoelectric-based inertial sensing and audio-based detection of swallows

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Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study.

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Objective Assessment of Overexcited Hand Movements using a Lightweight Sensory Device

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Institute of Electrical and Electronics Engineers (IEEE)

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Objectively quantifying walking ability in degenerative spinal disorder patients using sensor equipped smart shoes.

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Tagging Wearable Accelerometers in Camera Frames through Information Translation between Vision Sensors and Accelerometers

# publications[].publisher
Association for Computing Machinery (ACM)

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Improving Biomedical Signal Search Results in Big Data Case-Based Reasoning Environments.

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Designing a robust activity recognition framework for health and exergaming using wearable sensors.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

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Context-Aware Data Processing to Enhance Quality of Measurements in Wireless Health Systems: An Application to MET Calculation of Exergaming Actions

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

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Comparison of Machine Learning Methods With National Cardiovascular Data Registry Models for Prediction of Risk of Bleeding After Percutaneous Coronary Intervention.

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Anti-Cheating: Detecting Self-Inflicted and Impersonator Cheaters for Remote Health Monitoring Systems with Wearable Sensors

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Multiple Model Analytics for Adverse Event Prediction in Remote Health Monitoring Systems

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Can smartwatches replace smartphones for posture tracking?

# researcherOn[].label
Student-Author Travel Grant for the International Conferences on Biomedical and Health Informatics and on Wearable and Implantable Body Sensor Networks 2018

# researcherOn[].awardedBy.label
National Science Foundation - (Arlington, Virginia, United States)

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SCH: INT: Personalized Models of Nutrition Intake from Continuous Glucose Monitors

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Directorate for Computer & Information Science & Engineering - (Arlington, Virginia, United States)

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Estimating Recovery in Cardiac Rehabilitation using Mobile Health Technology and Personalized Machine Learning

# researcherOn[].awardedBy.label
National Institutes of Health - (Bethesda, Maryland, United States)

# researcherOn[].awardedBy.preferredLabel
DHHS-NIH-National Institute of BioMedical Imaging and BioEngineering

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Context-Aware Biomarker Discovery and Health Monitoring by Adaptive Integration of Heterogeneous Smartphone Signals

# researcherOn[].awardedBy.label
United States Air Force - (Arlington, Virginia, United States)

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SCH: INT: A Context-aware Cuff-less Wearable Ambulatory Blood Pressure Monitor using a Bio-Impedance Sensor Array

# researcherOn[].awardedBy.label
National Institutes of Health - (Bethesda, Maryland, United States)

# researcherOn[].awardedBy.preferredLabel
DHHS-NIH-National Institute of BioMedical Imaging and BioEngineering

# streetAddress
Texas A&M University; Computer Science & Engineering; 3112 TAMU