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JonathanSwindell/README.md

Hello there 👋, I'm Jonathan

I build awesome things.

watching_count

  • ⚡ I’m currently researching the application of Machine Learning and Signal Processing to 5G/6G spectrum problems and hardware characterization
  • 📫 Want to collaborate? jonathan_swindell1@baylor.edu.
  • 👀 See my work experience at www.linkedin.com/in/jonathan-swindell/.
  • 🚀 I proudly hail from rocket city (Huntsville, AL) where I completed my bachelor's degree in Computer Engineering from The University of Alabama in Huntsville in 2023. Go Chargers!
  • 🐻 Now you can find me in the lab at Baylor University where I work with my advisors Dr. Marks and Dr. Baylis.

Organization of Open Source Code

  • Assessing Interference with Regression Analysis Techniques (Paper, Code)

  • Senior Design: GPS-Denied Multi-Sensor Fusion Localization System

    • DeadReckoning System Python Logger and ROS Controls (Code)
    • Android Bluetooth Broadcast (Code)
    • Map Visualization Tool (Code)
  • High School Exploits

    • Multiplayer Snake HTML 3rd place at Huntsville Highschool Hackathon (Code)
    • IOS 11 Pong App Top 61st in the App Store's Arcade Section (Code)

Languages and Tools:

python tensorflow pytorch matlab c cplusplus arduino linux React Java Docker

BibTeX Citations

@inproceedings{Swindell_MDLPE_LAMC2025,
	title        = {Multidimensional Load-Pull Extrapolation using Generative Adversarial Networks},
	booktitle    = {IEEE Latin American Mircowave Conference ({LAMC})},
	author       = {Swindell, Jonathan E. and Goad, Adam C. and Egbert, Austin and Baylis, Charles and Marks, Robert J.},
	year         = {2025},
	month        = jan,
}

@inproceedings{hussey_application_2024,
	title        = {Application of Mamdani Fuzzy Inference Systems to Interference Assessments},
	booktitle    = {IEEE International Symposium on Dynamic Spectrum Access Networks ({DySPAN})},
	author       = {Hussey, Samuel and Swindell, Jonathan E. and Goad, Adam C. and Egbert, Austin and Clegg, Andrew and Baylis, Charles and Marks, Robert J.},
	year         = {2024},
	month        = may,
	pages        = {13--18},
}

@inproceedings{goad_nine-dimensional_2024,
	title        = {Nine-Dimensional Gradient Optimization for Automated RF Power Amplifier Design},
	booktitle    =  {Proc. IEEE Tex. Symp. Wirel. Microw. Circuits Syst. (WMCS)},
	author       = {Goad, Adam C. and Haug, Samuel and Swindell, Jonathan and Baylis, Charles and Egbert, Austin and Latham, Casey and Ozalas, Matthew and Boh, Jason and Howard, Andy and McClearnon, Daren and Marks, Robert J.},
	year         = {2024},
	month        = apr,
	pages        = {1--5},
}

@inproceedings{swindell_assessing_2024,
	title        = {Assessing Interference with Regression Analysis Techniques},
	booktitle    = {Proc. IEEE Tex. Symp. Wirel. Microw. Circuits Syst. (WMCS)},
	author       = {Swindell, Jonathan E. and Slater, Carson and Hussey, Samuel and Baylis, Charles and Marks, Robert J.},
	year         = {2024},
	month        = apr,
	pages        = {1--6},
}

@inproceedings{swindell_multi-dimensional_2024,
	title        = {Multi-Dimensional Image Completion for Automated Power Amplifier Design},
	booktitle    = {United States National Committee of {URSI} National Radio Science Meeting ({USNC}-{URSI} {NRSM})},
	address      = {Boulder, CO, USA},
	author       = {Swindell, Jonathan E. and Egbert, Austin and Goad, Adam C. and Haug, Sam and Latham, Casey and Ozalas, Matthew and Howard, Andy and McClearnon, Daren and Baylis, Charles and Marks II, Robert J.},
	year         = {2024},
	month        = jan,
	pages        = {259--259},
}

@article{swindell_implemetation_nodate,
	title        = {An Implemetation of Real-Time Wearable Monitoring of the Lower-Leg Edema Using Bioimpedance},
	abstract     = {Cardiovascular disease is the leading cause of death in the United States. We propose a wearable sensor for continuous monitoring of edema in lower legs using bioimpedance. Bioimpedance devices are able to accurately measure Extra Cellular Water (ECW) and Total Body Water (TBW) using whole body measurements. This work details the implementation of a continuous real time, non-invasive wearable bioimpedance and activity monitoring system. The system collects a complex bioimpedance of the lower leg together with user’s activity collected from an inertial sensor. The preliminary results indicate that activity state classification model achieved accuracy of 94.0 \% based on bioimpedance only. We plan to use the system for monitoring of lower leg edema throughout the day as a part of diagnostic analysis of heart failure patients.},
	author       = {Swindell, Jonathan Edwin},
	year         = {2023},
	type         = {Undergraduate Honors Capstone Projects and Theses},
	publisher    = {UAH Louis},
}


@article{gibson_assessment_2021,
	title        = {Assessment of Prehospital Monitor/Defibrillators for Clostridioides difficile Contamination},
	volume       = {36},
	journal      = {Prehospital and Disaster Medicine},
	author       = {Gibson, Cody Vaughn and Swindell, Jonathan Edwin and Collier, George Donald},
	year         = {2021},
	pages        = {412--413},
}

Popular repositories Loading

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    React-based visualization system using the Google Maps API.

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  4. Pong-for-iPhone Pong-for-iPhone Public

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  5. Alabama-Biosciences-Research-Institute-Website Alabama-Biosciences-Research-Institute-Website Public

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  6. Andriod-GPS-Location-Bluetooth-Broadcast Andriod-GPS-Location-Bluetooth-Broadcast Public

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