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  • Dannier Li

    MS in Computer Science and Engineering, 2021
    Graduate student in Computer Science at Santa Clara University. Actively seeking position in Software Engineering. In addition to skills in C++, Python, and video coding (machine learning approaches), I have a solid background in Competitive Programming. In 2018, from a field of over 46,000 contestants in over 3,000 universities from all over the world, my team was one of one hundred forty teams that have advanced to the 42nd World Finals of the International Collegiate Programming Contest (known as ACM-ICPC). And in the year of 2019, my team was qualified again for the World Finals in Porto, Portugal.
     
    Email: dli3@scu.edu
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Additional Information

Thesis Research at SCU Overview:

Assisted a research professor to develop paper for IEEE Trans. Circuits and Systems for Video Tech about a CNN video compression and inter-frame prediction model that achieves 83% to 96% data compression while maintaining great visual quality

• My responsibility was to study video coding framework based on CNN (Convolutional Neural Network) and provide research support by preparing experiments and analyzing data with Python, Keras, Numpy, and Pandas.

• Continued optimizing the CNN model with skip-connection and improving the quantization unit in the CODEC; performed comparative analyses of experimental data