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Explore my professional experience, education, skills, and selected projects. You can also download a PDF version using the button above

Basics

Name Danny Xie
Label Scientist
Email dnnxl15@gmail.com
Url https://dnnxl.github.io/
Summary Computer Scientist

Work

  • 1933.01 - 1955.01
    Professor of Theoretical Physics
    Institute for Advanced Study, Princeton University
    Teaching at Palmer Physical Laboratory (now 302 Frist Campus Center). While not a professor at Princeton, I associated with the physics professors and continued to give lectures on campus.
    • Relativity

Volunteer

  • 2014.04 - 2015.07

    Zurich, Switzerland

    Lead Organizer
    People's Climate March
    Lead organizer for the New York City branch of the People's Climate March, the largest climate march in history.
    • Awarded 'Climate Hero' award by Greenpeace for my efforts organizing the march.
    • Men of the year 2014 by Time magazine

Education

  • 1905.01 - 1905.01

    Cartago, Costa Rica

    Bachelor
    Instituto Tecnológico de Costa Rica
    Computer Science
    • Theory of Relativity

Awards

  • 1921.11.01
    Nobel Prize in Physics
    Royal Swedish Academy of Sciences
    The Nobel Prizes are five separate prizes that, according to Alfred Nobel's will of 1895, are awarded to 'those who, during the preceding year, have conferred the greatest benefit to humankind.'

Certificates

Quantum Teleportation
Stanford University 2018-01-01

Publications

  • 2025.06.30
    PineSORT: A Simple Online Real-time Tracking Framework for Drone Videos in Agriculture
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops
    PineSORT is a Multiple Object Tracking (MOT) system for drone-based agricultural monitoring. It improves tracking by adding motion direction cost, ORB-based camera motion compensation, a three-stage association strategy, and overlap management. It significantly enhances accuracy compared to BoTSORT and AgriSORT on pineapple drone datasets.
  • 2024.12.15
    Simple Object Detection Framework without Training
    2024 IEEE 6th International Conference on BioInspired Processing (BIP)
    This paper introduces a simple object detection framework based on few-shot methods and Visual Foundation Models (VFM). The framework integrates object proposal, embedding creation, and classification. It is applied to pineapple localization in drone imagery, providing a scalable and cost-effective solution in data-scarce environments.
  • 2023.12.31
    Artificial Intelligence in STEM Education: Interactive Hands-on Environment using Open Source Electronic Platforms
    Tecnología en Marcha
    This article describes a constructivist hands-on methodology to teach Artificial Intelligence using open-source electronic platforms such as Arduino, Raspberry Pi, and Snap Circuits. The approach emphasizes creativity, inclusion, and diversity while motivating students to develop innovative AI solutions for real-world problems.
  • 2023.12.15
    Evaluation of the Influence of Multispectral Imaging for Object Detection in Pineapple Crops
    2023 IEEE 5th International Conference on BioInspired Processing (BIP)
    This research explores the use of multispectral drone images, combining RGB with near-infrared and red-edge channels, for object detection in pineapple crops. The study examines image alignment techniques (SIFT, ORB) and evaluates early and late fusion strategies for incorporating multispectral data into object detection pipelines.
  • 2023.11.20
    The Women’s Antenna: An experience of community technology construction led by Cabécar women of Costa Rica
    2023 IEEE International Humanitarian Technology Conference (IHTC)
    This work documents the experiences of Cabécar women leaders in Costa Rica, highlighting their community-driven technology initiatives. The women created a local communication network inspired by cultural metaphors, bridging the digital divide while preserving ancestral wisdom and strengthening indigenous decision-making.
  • 2021.12.31
    STEM education in semi-virtual interactive environment
    Tecnología en Marcha
    This paper proposes a semi-virtual learning model for STEM education during the Covid-19 pandemic. Volunteers provide synchronous guidance to students in interactive environments supported by workshops and virtual tools, ensuring continuity of STEM learning despite social restrictions.
  • 2020.12.11
    ML4H Auditing: From Paper to Practice
    Proceedings of the Machine Learning for Health NeurIPS Workshop (PMLR)
    This work applies the ML4H audit framework proposed by the ITU/WHO Focus Group on Artificial Intelligence for Health (FG-AI4H) to three use cases: diabetic retinopathy, Alzheimer’s disease, and cytomorphologic classification for leukemia diagnostics. The study highlights the importance of bias, interpretability, and robustness assessments, bridging the gap between proposed guidelines and their application in real-world healthcare practice.

Skills

Physics
Quantum Mechanics
Quantum Computing
Quantum Information
Quantum Cryptography
Quantum Communication
Quantum Teleportation

Languages

Spanish
Native speaker
English
Fluent
Mandarin
Intermediate

Interests

Physics
Quantum Mechanics
Quantum Computing
Quantum Information
Quantum Cryptography
Quantum Communication
Quantum Teleportation

References

Professor John Doe
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Professor John Doe
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Projects

  • 2018.01 - 2018.01
    Quantum Computing
    Quantum computing is the use of quantum-mechanical phenomena such as superposition and entanglement to perform computation. Computers that perform quantum computations are known as quantum computers.
    • Quantum Teleportation
    • Quantum Cryptography