About me

I am an undergraduate researcher and web developer at the University of North Carolina - Charlotte, actively contributing to cutting-edge projects in the High-Performance Computing (HPC) Lab under Dr. Dong Dai and the Artificial Intelligence (AI) Lab under Dr. Das. My work in the HPC Lab focuses on leveraging artificial intelligence for synthetic dataset generation and job trace analysis in computing clusters. Additionally, I have co-authored papers published in JSSPP’24 and IPDPS’24, driven by my unwavering passion for creating impactful solutions and building innovative web applications.

News

  • [Aug. 2024] Starting a new position as a Research Assistant, at AI lab, Under Dr. Srijan Das.

  • [May. 2024] Starting a new position as a Research Scholar.

  • [May. 2024] Excited to share that I made the Dean's List for Spring 2024!

  • [Apr. 2024] Thrilled to announce that I have been accepted into the OUR Summer 24 Research Scholar position.

  • [Mar. 2024] Our paper about Machine Learning-based Synthetic Job Trace Generation Methods is accepted by JSSPP’24 workshop at IPDPS'24.

  • [Jan. 2024] Got into Chancellor's list Fall 2023 for excellent academic performance.

  • [Dec. 2023] Our paper about AI and HPC job traces analysis is accepted to IPDPS'24.

Peer Reviewed Selected Publications

  • An Empirical Study of Machine Learning-based Synthetic Job Trace Generation Methods.
    Monish Soundar Raj, Thomas MacDougall, Di Zhang, and Dong Dai
    Published at 27th JSSPP’24 (Job Scheduling Strategies for Parallel Processing), 2024.

    View Paper GitHub Repository

  • Cross-System Analysis of Job Characterization and Scheduling in Large-Scale Computing Clusters.
    Di Zhang, Monish Soundar Raj, Bing Xie, Sheng Di, Dong Dai
    Published at 38th IPDPS'24 (IEEE International Parallel and Distributed Processing Symposium), 2024.
    Joint work by researchers from UNC Charlotte, Microsoft, and Argonne National Laboratory.

    View Paper Web App GitHub Repository

Awards

  • TCPP Travel Grant Award $700
    To attend and present at IPDPS'24, San Francisco, CA..

  • Office of Undergrad Research Travel Grant Award $500
    For travel expenses to attend IPDPS'24, San Francisco, CA

Daniel lewis
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Daniel lewis

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Resume

Experience

  1. Undergraduate Research Assistant, Charlotte Machine Learning Lab, UNCC

    Aug 2024 — Present

    More info coming soon.

  2. Undergraduate Research Assistant, High Performance Computing Lab, UNCC

    Aug 2023 — Present

    Collaborated on job trace analysis research and co-authored papers for IPDPS’24 and JSSPP’24. Conducted cross-system job trace analysis to understand scheduling behaviors in large-scale clusters (IPDPS’24). Designed and evaluated generative models for machine learning-based synthetic job trace generation, comparing five methods and assessing their effectiveness for workload simulations (JSSPP’24). Skilled in Python, Matplotlib, and PyTorch for data analysis, visualization, and computational modeling.

  3. Web Developer, High Performance Computing Lab, UNCC

    Jun 2023 — Aug 2023

    Developed a web application to visualize job trace cluster characteristics, implementing interactive charts with Python, Streamlit, and other technologies.

  4. Student Web Developer, Africana Studies, UNCC

    Mar 2023 — Jun 2023

    Designed and developed a multipage website for the Department of Africana Studies at UNCC, focusing on the Haitian Revolution with responsive design techniques.

  5. Frontend Developer Intern, CornMarket Place

    May 2021 — Aug 2021

    Worked at Cron to create client-side web application features using HTML, CSS, Bootstrap, and JavaScript. Built and tested APIs with Postman.

Education

  1. Bachelor of Science in Computer Science

    Jan. 2021 — Present

    Currently pursuing my bachelor's degree at the University of North Carolina - Charlotte. My coursework and research focus on leveraging advanced programming tools and artificial intelligence for data analysis and computational model development.

View Full CV

My skills

  • Web Application FullStack
    80%
  • Web Design
    70%
  • Generative AI Models
    50%
  • Data Analysis
    75%
  • Python
    80%
  • JavaScript
    70%
  • HTML/CSS
    85%

Portfolio

Contact

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