Christian Pieringer

Researcher · Universidad de Las Américas

I work on computer vision and machine learning, with emphasis on object recognition, multi-view analysis, and applied vision systems. My research has covered X-ray object recognition, non-destructive testing, and visual understanding of people and scenes in real environments.

I am a researcher at Universidad de Las Américas (Chile), and I have taught courses in computer vision, data science, and advanced programming at UDLA and Pontificia Universidad Católica de Chile.

Christian Pieringer

Research Areas

Computer vision and machine learning for real-world perception problems

My research focuses on developing computer vision methods that work under real operating conditions — limited labels, multiple viewpoints, and noisy sensors.

  • Object recognition & multi-view analysis — combining evidence across views for robust detection (including X-ray / NDT settings)
  • Applied machine learning — pattern recognition and feature learning for scientific and industrial applications
  • Scene understanding — people density, flow, and activity cues in indoor environments

Teaching & Mentoring

Current

DIP2627 - Introduction to Data Science

Universidad de Las Américas (Chile)

Course focused on providing fundamental concept for data science.

Contents

  • Introduction to Data Science
  • Data Science methodologies
  • Exploratory data analysis
  • Python fundamentals for Data Science

Past

Computer Vision (EIC-371)

Pontificia Universidad Catolica de Chile · Spring - 2015

Course focused in provide fundamental theory in computer vision.

Contents

  • Geometric transformations
  • Camera calibration
  • Multiple-view geometry
  • Object detection and segmentation

Advanced Computer Programming

Pontificia Universidad Catolica de Chile · Fall/Spring

Course focused in the provided advanced programming concept for computer science.

Contents

  • Oriented programming
  • Data structures
  • Functional programming
  • Event-based simulation (EBS)

Selected Publications

Visit Google Scholar for a full list of up-to-date publications.

Articles

A machine learning approach to predict strain-specific phage-host interactions

Scientific Reports, 2025

P. Y. Camejo, F. Rojas, A. Ossa, R. Hurtado, D. Tichy, C. Pieringer, M. Pino, et al.

From Classification to Captioning: Adapting Vision-Language Models for Fruit Quality Description

IEEE CHILECON, 2025

J. Donoso, O. Nicolis, C. Pieringer, B. Peralta

From Scarce to Sufficient: Imaginary Image-Like Features via Diffusion Models for Imbalanced Medical Data

AI for Biomedical Data, 2025

H. Villarroel, C. Pieringer, B. Peralta

Development and characterization of a bacteriophage cocktail with high lytic efficacy against field-isolated Salmonella enterica

Poultry Science, 2023

M. Aguilera, E. Tobar-Calfucoy, V. Rojas-Martínez, R. Norambuena, et al., C. Pieringer

Object recognition using tactile sensing in a robotic gripper

Insight, 2022

V. Riffo, C. Pieringer, S. Flores, C. Carrasco

Books

Computer Vision for X-Ray Testing: Imaging, Systems, Image Databases, and Algorithms

Springer, 2021

D. Mery, C. Pieringer

Advanced Computer Programming in Python

CreateSpace, 2017

K. Pichara, C. Pieringer

Students

Students I advise or co-advise

Current

Magíster en Ciencia de Datos

Jorge Meléndez

Magíster en Ciencia de Datos · UDLA · 2026

Predicción de Fallas en Equipos de Telecontrol usando Análisis de Sobrevivencia

Undergraduate

Marcos Chupica

Ingeniería de Ejecución en Informática · UDLA

Alumni

Magíster en Ciencia de Datos

Jorge Cáceres

Magíster en Ciencia de Datos · UDLA · 2025

Estimación de la propensión de aceptación en aumentos de cupo en tarjetas de crédito mediante modelos de Machine Learning

Code

Open-source code and datasets

pyxvis

Official Python toolbox for Computer Vision for X-Ray Testing (companion to the Springer book).

GDXray

Colaborador. Public X-ray image database for nondestructive testing and computer vision research.

intro_python

Teaching materials for an introduction to programming in Python.

cv-datasets

Curated list of datasets commonly used in computer vision.