Ph.D. Candidate and computer engineer specializing in Generative AI, Deep Learning, and Data Science, with multiple journal and conference publications. Experienced in designing and implementing advanced models, including Transformers, Vision Transformers, and Diffusion Models. Passionate about Large Language Models (LLMs) and Natural Language Processing (NLP). Currently collaborating with teams at the University of Delaware and NASA to improve remote sensing imagery systems.
Education:
Ph.D. and Ms.C. in ECE
University of Delaware
Jan 2022 - Present
Research: Enhancement of remote sensing imaging systems with Generative AI.
Bachelor of Computer Engineering
Universidad de La Sabana
Jan 2017 - Dec 2021
Awards:
Distinguished Student Award
2020
Recognized for outstanding academic achievement with one of the highest GPAs, as well as excellence in extracurricular activities.
Full Scholarship for Undergraduate Studies
(Tuition waiver and stipend)
2017
Awarded a merit-based full scholarship for exceptional performance in the Colombian national exam, covering the entirety of undergraduate studies.
Experience:
Research Assistant
University of Delaware
Jan 2022 - Present
Designed and implemented multimodal Vision Transformers and Diffusion Models to increase by up to 18x the 3D resolution of imaging products captured by NASA missions.
Reduced the time to simulate Satellite LiDAR systems by 92% through the implementation of KD-Tree querying in 3D point clouds.
Designed and implemented a simulation platform to generate diverse, configurable, and high-quality datasets for Satellite LiDAR research, enhancing data accessibility and research efficiency.
Teaching Assistant
University of Delaware
Jan 2023 - Present
Teaching assistant in the graduate-level courses Statistical Learning, and Imaging and Deep Learning. Responsible for teaching, tutoring, and grading.
Software Engineer Internship
Universidad de La Sabana
Apr 2020 to Jun 2021
Designed and implemented an interface for monitoring physiological metrics of critical care patients on open-source operating systems for a low-cost mechanical ventilator for COVID-19 patients.
Developed an anomaly detection system for time-series physiological data, ensuring reliable performance of medical devices and supporting validation by the Colombian medical court.
Humanoid Robotics Researcher
Universidad de La Sabana
Apr 2018 - Jan 2020
Developed genetic algorithms for the NAO humanoid robotics platform, enhancing defensive strategies and contributing to the team's runner-up finish at the RoboCup SPL, with research recognized by the RoboCup Committee.
Led the Sabana Herons Team in RoboCup SPL, one of the world's most prestigious robotics competitions, driving technical innovation and team performance.
Publications:
Transformer End-to-End Optimization of Compressive LiDARs Using Imaging Spectroscopy Side Information
IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-17, 2024, doi:10.1109/TGRS.2024.3401614
Nestor Porras-Diaz; Andres Ramirez-Jaime; Gonzalo R. Arce; Karelia Pena-Pena; David Harding; Mark Stephen
Multi-Modal Transformer for Compressive LiDARs Using Hyperspectral Imaging Side-Information
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, pp. 2451-2454, doi:10.1109/IGARSS53475.2024.10641449
N. Porras-Diaz; A. Ramirez-Jaime; G. R. Arce; R. Vargas; D. Harding; M. Stephen
Super-Resolution of Satellite Lidars for Forest Studies Via Generative Adversarial Networks
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, pp. 2271-2274, doi:10.1109/IGARSS53475.2024.10641698
A. Ramirez-Jaime; N. Porras-Diaz; G. R. Arce; D. Harding; M. Stephen; J. MacKinnon
High altitude computational Lidar emulation and machine learning reconstruction for Earth sciences
Proc. SPIE 13036, Big Data VI: Learning, Analytics, and Applications, 1303606 (10 June 2024); doi:10.1117/12.3025299
Gonzalo R. Arce, Andres Ramirez-Jaime, Nestor Porras-Diaz
