After earning my Ph.D. from the Department of Electrical and Computer Engineering at North Carolina State University in 2014, I have been working to develop engineering solutions for autonomous systems across academia and industry research settings. My research focuses on multi-agent cyber-physical systems and their algorithms, allowing them to make intelligent decisions in active and uncertain environments. This research is driven by real-world applications such as environmental monitoring, maritime systems, precision agriculture, and search and rescue operations. I aim to create a more intelligent world that people can safely and confidently thrive. I explore cutting-edge technologies like decentralized sensor fusion, edge computing, machine learning, autonomous robotics, and mechatronics to achieve this goal. Taking this integration of disciplines further requires collaboration from all branches of engineering – something I'm striving for every day!
2022 conference paper
A Design and Modeling Software Tool for Prototyping for Ultrasonic Transceivers
2022 IEEE Sensors, 2022-October.
Contributors: & E. Grant n n
Event: 2022 IEEE Sensors
2022 conference paper
Rapid Development of Secure Robotic Platforms
Future Force Capabilities Conference and Exhibition. Presented at the Future Force Capabilities Conference and Exhibition, Austin, Texas.
Event: Future Force Capabilities Conference and Exhibition at Austin, Texas
2021 conference paper
Secure Rapid Prototyping for Unmanned Systems
NDIA Ground Vehicle Systems Engineering and Technology Symposium. Presented at the NDIA Ground Vehicle Systems Engineering and Technology Symposium, Novi, Michigan.
Event: NDIA Ground Vehicle Systems Engineering and Technology Symposium at Novi, Michigan
2019 article
Binary encoding of sensors in textile structures
Grant, E., Livingston, F. J., Craver, M. D., Hegarty-Craver, M. S., Reid, L. G., & others. (2019, December).
2015 conference paper
Characterizing conductive yarns for pressure sensors applications
2015 IEEE SENSORS - Proceedings, 108–111.
Contributors: E. Grant n, n , M. Craver n, M. Hegarty-Craver n & S. McMaster*
2014 thesis
Technology for Improving the Quality of Life for Patients Suffering from Vascular Insufficiency
(Doctor of Philosophy). North Carolina State University, Raleigh, NC.
2010 conference paper
Comparison of Learning on the Design of a KANSEI Robot Testbed for Understanding Human-Machine Interaction
International Conference on KANSEI Engineering and Emotion Research.
2010 conference paper
On the Design of a KANSEI Robot Testbed for Understanding Human Machine Interaction
International Conference on KANSEI Engineering and Emotion Research. Presented at the International Conference on KANSEI Engineering and Emotion Research, Paris, France.
Event: International Conference on KANSEI Engineering and Emotion Research at Paris, France
2009 article
Compression Adjustable Fabric and Garments
Reid Jr, L. G., Grant, E., Hegarty, M. S., & Livingston, F. (2009, September).
2009 article
Health Monitoring and Management System
Reid Jr, L. G., Grant, E., Hegarty, M. S., & Livingston, F. (2009, September).
2006 thesis
Development of an Internet Addressable Pneumatically Controlled Instrument for Applying Stain the Cells In-Vitro
(Dissertation). North Carolina State University, Raleigh, NC.
2006 journal article
Development of an Internet Addressable Pneumatically Controlled Instrument for Applying Strain to Cells In-Vitro
2006 journal article
Mesoscale RF relay enabled by integrated rapid manufacturing
RAPID PROTOTYPING JOURNAL, 12(3), 148–155.
Contributors: J. Palmer *, B. Jokiel*, C. Nordquist *, B. Kast*, C. Atwood, E. Grant n, n , F. Medina *, R. Wicker
2005 journal article
Bone Tissue Scaffold in PCL
Bone.
2005 article
Implementation of Breiman's Random Forest Machine Learning Algorithm ECE591Q Machine Learning Journal Paper
Retrieved Fall2005.
2005 journal article
Implementation of Breiman’s random forest machine learning algorithm
ECE591Q Machine Learning Journal Paper, 1–13.
2005 conference paper
Implementing Breiman’s random forest algorithm into Weka
ECE591Q machine learning conference papers, 27, 1–5.
2004 report
Miniature RF components enabled by mesoscale rapid manufacturing.
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States).
journal article
A Wearable Monitoring System for Continuously Assessing the Health of the Peripheral Vasculature
Hegarty, M., Grant, E., Livingston, F., & Reid Jr, L.
Updated: February 4th, 2023 18:38
Updated: February 4th, 2023 18:39
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