Computer Science

Li Luo

Clemson, USA 864-***-**** *****@*.*******.***

EDUCATION

Clemson University Clemson, South Carolina

PhD in Computer Science [GPA: 4.0/4.0] 08/2022 – present MSc in Computer Science [GPA: 3.96/4.0] 08/2022 – 05/25 Communication University of China Beijing, China

MEng in Electronics and Communication Engineering [GPA: 3.43/4.0] 09/2014 – 06/2016 Communication University of Zhejiang Zhejiang, China BEng in Radio and Television Engineering [GPA: 3.67/4.0] 09/2010 – 06/2014 TECHNICAL SKILLS

• Language: Python, C#, SQL, JavaScript, R

• Frameworks & Libraries: Pytorch, scikit-learn, OpenCV, ASP.Net MVC, jQuery, WPF

• Tools: Git, DevOps Tools (Docker, Microsoft Azure, CI/CD with Jenkins) PROJECTS

Diffusion reflectance map Clemson University

Teaching Assistant, Advisor: Professor Daljit Singh Dhillon 08/2024 – present

• Design diffusion model to jointly estimate illumination and reflectance from single image with object geography

• Design VAE to represent latent environment maps and invoke Mitsuba3 for rendering Hearing Loss threshold prediction using Autoencoder and CNN network 05/2023 – 07/2024 Teaching Assistant, Advisor: Professor James Wang

• Predicting pure-tone hearing loss thresholds with autoencoder and CNN regression model

• interpreting model accuracy for perturbation and multi-regression analysis Deep learning for brain MRI Quality evaluation

• Experiment with skull-stripped brain MRI scans to identify facial features and brain tissue loss

• Design a multi-kernel 3D Convolutional Neural Network (3D CNN) model with an inception module demonstrated a 95.49% accuracy in identifying recognizable facial features and a 97.63% accuracy in detecting the loss of brain tissue voxels

Using EfficientNet/Transformer to assess artistic works (Co-authored Research) 08/2023 – 01/2025

• Finetuned pretrained EfficientNet2 model to predict scores for children and artistic paintings and achieve 0.956 corrections compared to human raters

• Finetuned pretrained CLIP model to predict scores from artistic paintings and their descriptions and achieve 0.962 correlations compared to human raters

Neural light field network & neural radiance field 08/2022 – 05/2023 Research Assistant, Advisor: Professor Nianyi Li

• Experiment with light field ray-embedding neural network with Stanford light field datasets

• Evaluation on qualitative and visual comparison and compare to neural radiance field

• Experiment with NeRF architecture with and implement defocus synthetic rendering algorithm Convergence Media Platform Based on Kalman Filter Video Target Tracking Beijing, China Research Assistant, Advisor: Professor Ce Li 06/2020 – 06/2021

• Investigated the development of media convergence and adopted a Kalman filter-based video target tracking

• Designed a specification to identify the video contents and developed a related information production platform detecting and tracking a single target selection hot spot in the video screen

• Implemented the test data analysis to achieve the media metadata format and set up an application demonstration for the radio and television industry to explore new models Broadcasting and Media Convergence & Publishing Service Platform – Regulation of Related Information and Production of Drill-Down Information Beijing, China Graduate Assistant, Advisor: Professor Fang Miao 03/2015 – 05/2016

• Developed the drilling information software which enables the users to attach the information to the video

• Transformed the software into subsystem which serves as the resource generation side of the service platform

• Realized the dual image transmission and real-time interaction of the TV programs by connecting the Internet with the mobile terminals through the software

WORK EXPERIENCE

51 Job Shanghai, China

Software Development Engineer [Technical Department] 06/2018 – 03/2020

• Developed the HRO system (Plus version) which consisted of one of the three core business sections- Personnel Outsourcing Business Software System

• Developed the backend system via ASP.Net MVC structure and frontend system by Vue.js framework and modified the current online HRO system to the distributed SQL Server database

• Analyzed the information data of more than ten million workers and sorted out over three hundred data sheets of the billing reports

Shanghai Wicresoft Co., Ltd., Shanghai, China

SDET2 [ITO Department] 06/2016 – 05/2018

I. Asp.net Core perf automation system (July 2016-January 2017)

• Developed the Asp.net Core perf automation system and deployed the Azure virtual machines

• Detected the real-time status of the virtual machine and gathered the first hands-on data which imputed by the Asp.net MVC WebSite users

• Took charge of the function evaluation of the Microsoft Asp.net Core 1.0 preview and developed the automatic function testing system of the Asp.net Core by ASP.NET MVC II. Azure container registry (January 2017- January 2018)

• Undertook the global performance automation test of the Azure Container Registry-the container for the storage of Docker images

• Fulfilled the functional integration test and observation by the means of Docker, shell, Jenkins, C#, .net Core PUBLICATIONS

• Zhehan Zhang, Meihua Qian, Ripon Saha, Li Luo: Using Transformer model to assess artistic creativity of Paintings. American Psychological Association. April 2025

• Li Luo, Rishikesh V. Phatangare, James Z. Wang, Kenneth I. Vaden, Mark A. Eckert: Deep Learning Methods to Evaluate Privacy and Quality of Skull-Stripped Brain Images. BI 2024, LNAI vol. 15541, pp. 1–11

• Zhehan Zhang, Meihua Qian, Li Luo, Ripon Saha: Using CNN model to assess Paintings’ creativity. American Psychological Association. April 2024

• Li Luo, Convergence Media Related Information Production Platform based on Kalman Filter Video Target Tracking. The 3rd International Conference on Computing and Data Science (CONF-CDS), June 08, 2021

• Li Luo, Fang Miao, Min Wu, Research on Video Content Association Aggregation under Converged Media. Television Technology, 2015, 39(22): 82-84. [DOI 10.16280/j.videoe.2015.22.020.]

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