Cristián Llull Torres

PhD Student in Computer Science

Research

I am a first-year PhD student in Computer Science at the University of Chile, where I also completed my Master of Science and Bachelor's in Computer Engineering. My work is driven by a passion for learning and research, with a focus on creating practical solutions through technology. I approach challenges with an analytical and persevering mindset, aiming to bridge the gap between theoretical research and real-world impact.

My research interests are primarily in the fields of Computer Vision, Edge AI, and 3D Digital Reconstruction. I am fascinated by the potential of AI to operate efficiently on edge devices. At 4DIGITAL Technologies, I developed solutions that used real-time video analysis on platforms like Raspberry Pi to detect occupational safety hazards, integrating text-to-speech and audio alerts for immediate feedback. My technical skills in this area include C++, Python, OpenCV, and FastAPI.

My broader experience includes data visualization at ARAUCO, where I automated audit reports using Qlik Sense, and developing web-based Geographic Information Systems (GIS) at Logiciel Chile S.A.. These experiences have provided me with a solid foundation in software development and data handling, using technologies like PostgreSQL, NodeJS, and various data analysis libraries.

Education

  • PhD in Computer Science (March 2025 - Present)
    University of Chile, Santiago
  • Master of Science, Computer Science (August 2021 - December 2023)
    University of Chile, Santiago
  • Computer Engineer, Computer Science (March 2016 - December 2022)
    University of Chile, Santiago
  • Bachelor's Degree, Engineering Science (March 2016 - January 2021)
    University of Chile, Santiago

Talks & Presentations

  • Presentation at CHILECON-JCC (2025)
    Evaluation of 3D Reconstruction for Cultural Heritage Applications.
  • ICCV 2023 Workshop on Cultural Heriage (2023)
    Evaluation of 3D Reconstruction for Cultural Heritage Applications.
  • Project Presentation: 3D Reconstruction of At-Risk Archaeological Pieces (2023)
    A presentation on the collaboration with the Museo de Arte Popular Americano (MAPA) to digitally preserve historical artifacts using 3D scanning and NeRF deep learning techniques. This work resulted in the successful reconstruction of several fragile pieces and was featured by the university.

Teaching

Laboratory Professor at University Diego Portales

  • · Data Structures and Algorithms

Teaching Assistant at the University of Chile:

  • · Software Engineering II
  • · Modeling and Graphical Computation for Engineers
  • · Algorithms and Data Structures
  • · Introduction to Data Mining