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 Machine Learning (ML) Lab under Dr. Srijan Das. My work in the HPC Lab focuses on leveraging artificial intelligence for synthetic dataset generation and job trace analysis in computing clusters, while my research in the AI Lab centers on temporal action detection in videos. Additionally, I have co-authored papers published in JSSPP’24 and IPDPS'24, and my work is fueled by an unwavering passion for creating impactful solutions and building innovative web applications.

News

  • [Jan. 2025] 1 Paper - MS-Temba: Multi-Scale Temporal Mamba for Efficient Temporal Action Detection is out, Check Here.

  • [Dec. 2024] Excited to share that I made the Chancellor's List for Fall 2024!

  • [Sept. 2024] 1 Poster - Enhancing HPC Job Scheduling with Synthetic Data Generation for RL-Based Schedulers presented at Undergraduate Research Summer Research Symposium. Check Here.

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

  • [Jun. 2025] 1 Poster - Crystal Structure Prediction with Deep Learning Models Using Space Group Symmetry presented at Gordon Research Conference.

  • [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.

Preprint 2025

  • MS-Temba: Multi-Scale Temporal Mamba for Efficient Temporal Action Detection
    Arkaprava Sinha, Monish Soundar Raj, Pu Wang, Ahmed Helmy, Srijan Das
    More info soon

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.

  • 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.

Research Posters

  • Crystal Structure Prediction with Deep Learning Models Using Space Group Symmetry
    Osman Goni Ridwan, Monish Soundar Raj, Md Shah Nawaz Arafin, Dong Dai, Qiang Zhu
    Presented at Research at High Pressure Gordon Research Conference.
    This work will be publicly released after the main publication is finalized.

  • Enhancing HPC Job Scheduling with Synthetic Data Generation for RL-Based Schedulers
    Monish Soundar Raj, Dong Dai
    Presented at Undergraduate Research Summer Research Symposium.

Mentoring Activities

  • Ziyi Zhou, Bachelor Research Thesis, University of Delaware

  • Aniket Tiwari, Bachelor Research Project, University of North Carolina at Charlotte

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

Charlotte

Resume

Experience

  1. Research Assistant - Charlotte Machine Learning Lab

    Aug 2023 — Present
    • Working on cutting-edge Computer Vision research projects under Dr. Srijan Das.
    • More information will be available soon. For members of the Admissions Committee, please refer to the CV submitted with my application for complete details.
  2. Research Assistant - High Performance Computing and Systems Lab

    Aug 2023 — Present
    • Led and coauthored "An Empirical Study of Machine Learning-based Synthetic Job Trace Generation Methods", accepted for JSSPP'24
    • coauthored "Cross-System Analysis of Job Characterization and Scheduling in Large-Scale Computing Clusters", accepted for IPDPS'24
  3. Summer Research Scholar - UNC Charlotte

    May 2024 — Aug 2024
    • Explored synthetic job trace generation to mitigate data scarcity in HPC systems.
    • Developed synthetic data using models like RealTabFormer, FinDiff, and TVAE.
    • Presented research findings at the Undergraduate Research Symposium, highlighting synthetic data's potential for RL-based schedulers.
  4. Web Developer - High Performance Computing and Systems Lab

    Jun 2023 — Aug 2023
    • Developed a web application to visualize 20+ Job Trace Cluster Characteristics, significantly reducing analysis time.
    • Optimized algorithms for processing nearly 1 million job log rows in real-time.
    • Implemented adaptive interactivity using Python, Streamlit, Pandas, and NumPy.
    View Project: Lumos-Job-Traces
  5. Student Web Developer - Department of Africana Studies

    Mar 2023 — Jun 2023
    • Designed a multipage website on the Haitian Revolution using Omeka S.
    • Enhanced user experience through custom HTML, CSS, and JavaScript.
    • Implemented responsive design techniques ensuring cross-device accessibility.
    View Project: GomanMemoryProject
  6. Front-End Developer Intern - CronMarket

    May 2021 — Aug 2021
    • Contributed to CronMarket's client-side web application using HTML, CSS, Bootstrap, and Vanilla JavaScript.
    • Developed and validated backend APIs with Node.js and Express.js using Postman.
    • Collaborated with cross-functional teams to achieve key project milestones.

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.

Technologies & Tools

Python Python
TypeScript TypeScript
JavaScript JavaScript
Java Java
C C
HTML HTML
CSS CSS
Linux Linux
Windows Windows
React React
Node.js Node.js
Express.js Express.js
Next.js Next.js
Python Python
TypeScript TypeScript
JavaScript JavaScript
Java Java
C C
HTML HTML
CSS CSS
Linux Linux
Windows Windows
React React
Node.js Node.js
Express.js Express.js
Next.js Next.js
Flask Flask
Streamlit Streamlit
MongoDB MongoDB
Firebase Firebase
NumPy NumPy
pandas pandas
Matplotlib Matplotlib
Heroku Heroku
AWS AWS
Flask Flask
Streamlit Streamlit
MongoDB MongoDB
Firebase Firebase
NumPy NumPy
pandas pandas
Matplotlib Matplotlib
Heroku Heroku
AWS AWS

Projects

  • GenDM

    GenDM

    Synthetic Data Generation and Management Application

    This tool is a powerful platform for generating and managing synthetic data with advanced models and metrics to ensure data quality. Its user-friendly interface simplifies dataset handling, making it ideal for research and development.

    TypeScript Python React PyTorch ExpressJS MongoDB AWS
  • DiffuseCampus

    DiffuseCampus

    AI Image Generation

    An innovative image generation platform utilizing fine-tuned Stable Diffusion XL architectures to create detailed, campus-specific imagery. Tailored for marketing materials, event posters, and promotional content, it delivers visuals uniquely reflective of the UNCC campus.

    Python PyTorch LoRA Diffusers Stable Diffusion HuggingFace Gradio
  • Lumos Job Trace

    Lumos Job Trace

    Data Visualization Platform

    A comprehensive web application for visualizing and analyzing job trace cluster characteristics in high-performance computing environments.

    Python Streamlit Matplotlib Pandas Numpy Seaborn
  • Goman Project

    The Goman Project

    Digital History Platform

    A digital archive and educational platform showcasing the Haitian Revolution, featuring interactive content and historical documentation.

    JavaScript HTML5 CSS3 Omeka-S
  • ShoeShop

    ShoeShop

    E-commerce Platform

    A full stack eCommerce shoe store. Search, cart, checkout, and products display are implemented and works dynamically (non-static results). This web application uses Local Storage of users to store cart items.

    JavaScript EJS CSS ExpressJS MongoDB
  • YouTube Clone

    YouTube Clone

    Video Platform Clone

    A functioning YouTube clone. Built using React. This web application uses YouTube's public API to fetch the data. Search bar and video player has been implemented. 

    React CSS YouTube API
  • Blog Project

    Blog Project

    Content Management

    A full-featured blog platform with markdown support, user authentication, and comment system.

    EJS CSS JavaScript Express.js MongoDB Auth0
  • Imaginate

    Imaginate

    AI Image Generator

    An AI-powered image generation tool using Replicate API to create unique artwork from text descriptions.

    Python Streamlit Replicate
  • Scriptify

    Scriptify

    AI Script Generator

    An AI-powered tool that generates programming scripts for various formats using natural language processing.

    JavaScript GPT-3 Bootstrap EJS Express.js EJS
  • Image Search

    Image Search

    Search Engine

    A fast and efficient image search engine using the Unsplash API with infinite scroll and filtering capabilities.

    React Unsplash API CSS Axios
  • Movie Review

    Movie Review

    Review Platform

    A movie review platform featuring user ratings, reviews, and recommendations using the OMDB API.

    EJS CSS Express.js API
  • Llama Chat

    Llama Chat

    AI Chat Application

    A chat application powered by the Llama language model, featuring real-time responses and conversation memory.

    Python Replicate Streamlit

Contact

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