I am a PhD student in Computer Engineering at the University of California, San Diego, with a background in computer science and engineering from CETYS Universidad, where I graduated Summa Cum Laude. My research focuses on developing computationally efficient solutions for machine learning and computer vision applications, particularly for resource-constrained and embedded systems.
At UC San Diego’s Systems Energy Efficiency Lab, I work on Hyper Dimensional Computing (HDC) for tasks like time series prediction and point cloud segmentation, aiming to improve performance while minimizing computational costs. I am also passionate about LiDAR data analysis, deep learning-based image colorization, and using virtual reality for wildfire simulations.
My goal is to contribute to innovations in AI, autonomous systems, and real-time data processing that have practical impacts in areas such as environmental management and intelligent systems.

ivgomezmoreno at ucsd dot edu

Researcher in the SEELab at UCSD.

Publications

See also Google Scholar.

Publisher links are often non-free. Links to free preprints and e-prints are included where available. Presentation slides and other extra materials are sometimes included.

• Multipurpose image colorization: a novel pipeline using convolutional neural networks.
  I. Gomez Moreno, U. Orozco-Rosas, K. Picos, T. Rosing
  SPIE 2024
  SPIE
• Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing.
  X. Yu, A. Thomas, I. Gomez Moreno, L. Gutierrez, T. Rosing
  IPSN 2024
  arXiv
• KalmanHD: Robust On-Device Time Series Forecasting with HyperDimensional Computing.
  I. Gomez Moreno, X. Yu, T. Rosing
  ASP-DAC 2024
  UCSD
• Visualization and Labeling of Terrestrial LiDAR Data for Three-Dimensional Fuel Classification.
  I. Gomez Moreno, I. Nealy, D. Rotten, M.H. Nguyen, D. Crawl, K. O'Laughlin, et. al.
  IEEE e-Science 2023
  IEEE Digital Library
• A Science-Enabled Virtual Reality Demonstration to Increase Social Acceptance of Prescribed Burns.
  I. Nealey, D. Encinas Pacheco, I. Gomez Moreno, M. Floca, D. Crawl, I. Altintas
  IEEE e-Science 2022
  IEEE

Awards and Certificates