CV

General Information

Full Name Diego Patiño
e-mail diego.patino@uta.edu
Location Arlington, TX, USA
Languages English, Spanish (native)

Academic Interests

  • Geometric computer vision
  • 3D reconstruction
  • Machine learning
  • Shape analysis
  • Physics-informed machine learning
  • Robot perception.

Education

  • 2020
    Ph.D. Computer Engineering
    National University of Colombia - Medellín
    • The topic of my Ph.D. dissertation was ¨Shape Analysis and Description Based on the Isometric Invariances of Topological Skeletonization¨. My research focused on shape analysis with applications on shape retrieval and shape classification. In my dissertation, I designed an equivariant feature descriptor to classify shapes based on the properties of their Medial Axis.
    • I successfully applied the approach developed in my work to the problem of pose-invariant shape classification and retrieval in 2D and 3D. All the methods and algorithms in my Ph.D. research were designed and coded using state-of-the-art technologies including data parallelism and GPU-enabled frameworks.
  • 2012
    M.Sc. Computer Engineering
    National University of Colombia - Medellín
    • The topic of my master's thesis was ""Automatic landform classification using texture analysis on satellite images."
  • 2010
    B.S.E. Computer Engineering
    National University of Colombia - Medellín

Work Experience

  • 2024 - present
    Assistant Professor
    University of Texas at Arlington
  • 2023 - 2024
    Post-Doctoral Fellow
    Drexel University
    • Lead independent research on machine learning-based 3D acoustic localization of under-water targets. Managed and administered computer servers and other hardware necessary for developing research projects within the iMaple Lab. Mentored and supervised multiple Ph.D., Master’s, and undergraduate students.
  • 2020 - 2023
    Post-Doctoral Researcher
    University of Pennsylvania - GRASP Lab
    • My current work includes conducting and leading independent research on machine learning and geometric computer vision, shape reconstruction, video prediction, and physics-informed machine learning. I work under the supervision of Kostas Daniilidis.
  • 2018 - 2020
    Visiting Scholar
    University of Pennsylvania - GRASP Lab
    • I worked on deep learning and geometric computer vision research under the supervision of Kostas Daniilidis.
  • 2016 - 2018
    Software Developer
    Gotta Ingenieria
    • I designed and developed several python-based hydromorphology simulation plug-ins for ArcGIS.
  • 2016
    Software Developer
    Launchpad
    • I developed client/server mobile apps for the iOS platform in Objective C and Swift programming languages.
  • 2014 - 2015
    Assistant Researcher
    University of Wisconsin - Laboratory for Molecular and Computational Genomics
    • I conducted research on the development of new computer vision approaches for detection, sequencing, and alignment of single DNA molecules under confinement. I worked under the supervision of Dr. David C. Schwartz.
  • 2012 - 2014
    Software Engineer
    Early Warning System of the City of Medellin (SIATA)
    • I developed software tools for weather forecasting and created software to support geospatial data visualization. Additionally, I developed computer vision tools to process images generated from Doppler microwave weather radars.

Teaching Experience

  • Fall 2024 - Spring 2025
    • Computer Vision.
  • Fall 2010 - Fall 2011
    • Algorithms (Teaching assistant).
  • Spring 2011
    • Databases.
  • Spring 2013
    • Introduction to Programming.
  • Spring 2013
    • Web Development.
  • Fall 2013
    • Physics Simulations and Software Engineering for Instrumentation.
  • Fall 2016
    • Algorithms.
  • Fall 2017
    • Computer Vision.

Service

Skills

  • Linux/Unix
  • Python/Numpy/Scipy
  • git/gitflow
  • Matlab
  • Pytorch/Tensorflow/JAX
  • C++/CUDA
  • Docker/Kubernetes/SLURM
  • Scientific Writing/LaTeX
  • 3D Vision

Other Interests

  • Photography
  • Mountain biking.