Ziang Ren

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Phone: +86 18280123343
Github: https://github.com/Rennylex

About me

I am from Scihuan, China, currently in NH, USA. I'm now a grad student majoring in Computer Science at Dartmouth College. In June 2022, I received the bachelor degree in Electronic Information Engineering from Nanjing University of Posts and Telecommunications (NJUPT) under the supervision of Prof. Qin Wang. During my time as an undergraduate, I am honored to be a member of Quantum Information Processing Laboratory, Nanjing University of Posts and Telecommunications.

Research

My research interests include

  • Algorithms and optimization

  • Quantum information

  • Machine learning

  • Software engineering

  • Wireless communications

  • Sensing and Imaging

Recent Publications

  1. Zi-Ang Ren, Yi-Peng Chen, Jing-Yang Liu, Hua-Jian Ding, and Qin Wang. (2021) "Implementation of Machine Learning in Quantum Key Distribution". IEEE Communications Letters, ISSN 1089-7798
    DOI: https://ieeexplore.ieee.org/document/9268987?source=authoralert

    I've also uploaded the data for this research: https://ieee-dataport.org/documents/optimal-protocol-key-generating-rates-3-qkd-protocol-under-different-scenarios

  2. Jia-Xin Xu, Zi-Ang Ren (first author, coauthor), Yi-Peng Chen , Chun-Hui Zhang , and Qin Wang. (2022) "Optimal resource allocation of quantum digital signatures with machine learning". Quantum Inf Process 21, 338, Springer.
    DOI: https://doi.org/10.1007/s11128-022-03672-w

Projects

High-Performance Quantum Key Distribution System, as team leader

  • Achieving real-time recommendation of optimal quantum key distribution (QKD) protocol for different user environments (i.e., communication distance ranging from 0 Km to 600 Km)

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Optimal Parameters Configuration in Quantum Digital Signature, as team leader

  • Predicting the optimal parameters concerning the intensity of different quantum states and probability of incorporating these states into different measurement bases with supervised learning.

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Deep-learning-based Landslide Monitoring Using Close-Shot Photogrammetry, as team member

  • A Landslide Monitoring system utilizing RNN which can classify the severity of landslide in different slope images

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Intelligent Tactility-assisted 3D Imaging System with Single-photon Radar and Lidar, as team leader

  • Reconstructing the 3D shape for objects using a creative multi-modal and neural-network-combined imaging method under the situation where light source is limited.

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Skills

C, C++, Java, MATLAB, Python, VHDL, Multisim, Access, Android Studio, css, html, Linux shell

Misc

In my free time, I enjoy playing tennis, badminton, ping-pong, or any sport where I can wave a racket. Painting and visiting art gallery are also my favorite.

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One of my paintings.

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Ophelia by John Everett Millais, photo taken in Museum of Art Pudong, Shanghai.

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We were trying to calibrate the frame of reference.