Jhon Castro

M.S. in Electrical and Computer Engineering, Ph.D.(c) · jcastro@udel.edu

University of Delaware

302 Evans Hall · Newark, DE 19716 · USA

Jhon A. Castro-Correa received his Bachelor's degree in Electric Engineering in 2018 at Universidad Francisco de Paula Santander in Cucuta, Colombia, and his master's degree in Electrical and Computer Engineering in 2022 at the University of Delaware. Currently, he is a Ph.D. candidate at the University of Delaware, in the Ocean Acoustics & Engineering Laboratory (OAELab) under supervision of Professor Mohsen Badiey. His research interests cover ocean acoustics, machine learning, wireless sensor networks, and graph signal processing.

Welcome to my research website. Feel free to look at my work on any of my academic networks.

Check out my CV

Updated:

September, 2022


Research interests

I am interested in the following areas:


  • Ocean Acoustics.
  • Graph Signal Processing (GSP).
  • Machine Learning & Deep Learning.
  • Compressive Sensing.
  • Wireless Sensor Networks (WSN).

Publications

Journal Papers


  • Castro-Correa, J. A., Arnett, S., Neilsen, T. B., Wan, L. & Badiey M. Supervised Classification of Sound Speed Profiles Via Dictionary Learning (2022). Journal of Atmospheric and Oceanic Technology. (Accepted)

  • Castro-Correa, J. A., Sepulveda Mora, S. B., Medina Delgado, B., Escobar-Amado C. D. & Guevara Ibarra, D. A forest fire monitoring and detection system based on wireless sensor networks (2022). Scientia et Technica. DOI : 10.22517/23447214.24784

  • Castro-Correa, J. A., Badiey, M., Neilsen, T. B., Knobles, D. P., & Hodgkiss W. S. Impact of data augmentation on supervised learning for a moving mid-frequency source (2021). Acoustical Society of America. DOI : 10.1121/10.0007284.

  • Escobar-Amado, C. D., Neilsen, T. B., Castro-Correa, J. A., Van Komen, D. F., Badiey, M., Knobles, D. P., & Hodgkiss W. S. Seabed classification from merchant ship-radiated noise using a physics-based ensemble of deep learning algorithms (2021). Acoustical Society of America. DOI : 10.1121/10.0005936.

  • Neilsen T. B., Escobar-Amado C. D., Acree M. C., Hodgkiss W. S., Van Komen D. F., Knobles D. P., Badiey, M. & Castro-Correa, J. A. Learning location and seabed type from a moving mid-frequency source (2021). Acoustical Society of America. DOI : 10.1121/10.0003361.

  • Castro-Correa, J. A., Sepulveda Mora, S. B., Medina Delgado, B., Guevara Ibarra, D. & Lopez, O. Vehicle geolocation system using the GSM/GPRS network and Arduino technology (2019). EIA Journal (Colombian Journal). DOI : 10.24050/reia.v16i31.1269.

  • Castro-Correa, J. A., Sepulveda, S., Medina, B. & Guevara, D. Web service for the geolocation of the public transportation vehicles in the city of Cucuta (2018). Respuestas (Colombian Journal). DOI : 10.22463/0122820X.1498.

Conference Papers


  • Badiey, M., Wan, L., Escobar-Amado, C. D., & Castro-Correa, J. A. Extraction of seabed properties in mid-frequency range using waveguide invariant applied to broadband signals (2021). Proceedings of Meetings on Acoustics (POMA). DOI : 10.1121/2.0001532.

Presentations


  • Oral Speaker. Seabed classification and source localization from ship spectrograms using deep learning models. ASA meeting 2021, Seattle, WA. Acoustical Society of America. DOI : 10.1121/10.0008300.

  • Contributor. Extraction of seabed properties in mid-frequency range using waveguide invariant applied to broadband signals. ASA meeting 2021, Seattle, WA. Acoustical Society of America. DOI : 10.1121/10.0008416.

  • Invited speaker. Extending machine learning to irregular domains. Theory and applications of Graph Neural Networks. VII Latin American Congress of Systems and Computer Engineering, CIDE. Quito, Ecuador.

  • Oral Speaker. Incidence of data augmentation in machine learning using broadband spectrograms. ASA meeting 2021. Acoustical Society of America. DOI : 10.1121/10.0004690.

  • Co-author. Seabed classification from ship-radiated noise using an ensemble deep learning. ASA meeting 2021. Acoustical Society of America. DOI : 10.1121/10.0004687.

  • Co-author. Effect of environmental uncertainty on source localization from mid-frequency tonals using convolutional neural networks. ASA meeting 2020. Acoustical Society of America. DOI : 10.1121/1.5147063.

  • Invited speaker. Use of Artificial Intelligence and Internet of Things to Detect and Prevent Forest Fires. VI Latin American Congress of Systems and Computer Engineering, CIDE. Quito, Ecuador.

  • Oral speaker. Web service for the geolocation of the public transportation vehicles in the city of Cucuta. IV international week & XII science, technology and innovation week. Universidad Francisco de Paula Santander.

Undergraduate project


  • A geolocation system through GSM/GPRS protocol for the public transportation in the city of Cucuta Contract number 012-2017 [link].


Experience

Research Assistant

University of Delaware
  • Methods for sparse representation of Sound Speed Profiles from the SW06 experiment.
  • Investigation of the acoustic propagation in the presence of internal waves in the water column during field experiments.
  • Source localization and environment classification of the seabed using broadband signals and deep learning techniques.
February 2019 - Present

Young researcher

Universidad Francisco de Paula Santander
  • Wireless Sensor Networks for fire detection in Norte de Santander. Colombia. Sponsor Colciencias.
September 2019 - September 2020

Research Scholar

University of Delaware
  • Diamond sampling applied to x-ray coded aperture optimization. Sponsor: ECE department at the University of Delaware.
June 2018 - November 2018

Researcher

Universidad Francisco de Paula Santander
  • A geolocation system through GSM/GPRS protocol for the public transportation in the city of Cucuta. Contract number: 012-2017.
January 2017 - January 2018

Teaching Assistant

Universidad Francisco de Paula Santander
  • Tutor at the social academic program for the student permanence where I was advised undergraduated students in areas such as calculus, physics, programming and linear algebra in the Electronics Engineering program.
August 2016 - December 2017

Education

University of Delaware

Doctor's degree (Ph.D.)
Electrical and Computer Engineering - Ocean Acoustics & Machine Learning.

GPA: 3.9/4.0

February 2019 - Present

University of Delaware

Master's degree (M.S.)
Electrical and Computer Engineering - Ocean Acoustics & Inverse problems.

GPA: 3.9/4.0

June 2020 - August 2022

Universidad Francisco de Paula Santander

Bachelor's degree
Electronics Engineering - Telecommunications & Mobile solutions.

GPA: 4.74/5.00

February 2012 - February 2018

Skills

Programming Languages

I have experience in the following programming languages:


Tools

I have developed projects using these tools and platforms:


Laguages

Spanish

First language

English

TOEFL (B2)

Portuguese

Basic knowledge
Other skills
  • Leadership
  • Teamwork
  • Problem-solving
  • Responsibility

Awards & Certifications

  • Graduated with honors from the Data Science For All (DS4A) Colombia 2022 cohort taught by Correlation One - 375 hours - (online certification).
  • Awarded with one-year internship as a young Researcher by Colciencias. Colombia, 2018-2019.
  • Highest Saber Pro score (National Undergraduate Program Quality Test), ranked in the country's top 0.7% (amongst 242,629 applicants).
  • Full scholarship (tuition waiver) during the entire undergraduate program because of the high grade point average (4.74/5.00).
  • 1 st Place in general grade point average among +500 students at the Electronic Engineering program.
  • Laureate undergraduate captstone thesis. February, 2018 (5.00/5.00).

Contact

Feel free to reach me out if you have any questions or comments:



  • University of Delaware

  • Address:
    302 Evans Hall · Newark, DE 19716 ·

  • Email:
    jcastro@udel.edu