About me
I am a graduate student and researcher at the University of North Carolina - Chapel Hill, pursuing a Master of Science in Computer Science. I am currently working with Dr. Neil Gaikwad on computer vision projects. Previously, I contributed to research in the High-Performance Computing (HPC) Lab under Dr. Dong Dai and the Machine Learning (ML) Lab under Dr. Srijan Das at UNC Charlotte. My work spans leveraging artificial intelligence for synthetic dataset generation, job trace analysis in computing clusters, and temporal action detection in videos. I have co-authored papers published in JSSPP'24 and IPDPS'24, with my research featured at top-tier conferences. My work is fueled by an unwavering passion for creating impactful solutions and building innovative applications that bridge the gap between cutting-edge research and real-world applications.
News
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[Jan. 2025] Started working as a Teaching Assistant for DATA 120: Ethics of Data Science and AI under Dr. Neil Gaikwad at UNC Chapel Hill.
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[Jan. 2025] 1 Paper - MS-Temba: Multi-Scale Temporal Mamba for Efficient Temporal Action Detection is out, Check Here.
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[Aug. 2024] Joined the Society-Centered AI Lab (SAIL) at UNC Chapel Hill, working with Dr. Neil Gaikwad on Human-AI Value Alignment and Computer Vision research.
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[Dec. 2024] 🎉 Excited to share that I made the Chancellor's List for Fall 2024!
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[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.
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[Aug. 2024] Started a new position as a Research Assistant at the AI lab under Dr. Srijan Das.
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[Jun. 2025] 1 Poster - Crystal Structure Prediction with Deep Learning Models Using Space Group Symmetry presented at Gordon Research Conference.
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[May. 2024] Starting a new position as a Research Scholar.
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[May. 2024] 🎉 Excited to share that I made the Dean's List for Spring 2024!
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[Apr. 2024] Thrilled to announce that I have been accepted into the OUR Summer 24 Research Scholar position.
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[Mar. 2024] Our paper about Machine Learning-based Synthetic Job Trace Generation Methods is accepted by JSSPP’24 workshop at IPDPS'24.
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[Jan. 2024] 🏆 Made the Chancellor's List for Fall 2023 for excellent academic performance.
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[Dec. 2023] Our paper about AI and HPC job traces analysis is accepted to IPDPS'24.
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[Aug. 2023] Started working as a Research Assistant in the High-performance Computing Lab (HPC) at UNCC, focusing on AI and HPC job traces analysis. My advisors in this research are Dr. Dong Dai and Dr. Di Zhang.
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[Aug. 2023] Successfully launched the Lumos Job Traces web application at HPCS Lab UNCC, visualizing job trace cluster characteristics for high-performance computing environments. This project marks the completion of my role as a Web Developer for HPC, building engaging and informative platforms.
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[Jun. 2023] Joined a new role as a student Web Developer for the High-Performance Computing Lab, Department of College of Computing and Informatics, UNCC.
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[May. 2023] Completed the Goman Memory Project as a Student Web Developer for the Department of Africana Studies at UNCC, enhancing the digital representation of the Haitian Revolution.
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[Mar. 2023] Joined a new role as a Student Web Developer for the Department of American Studies at UNCC, focusing on developing engaging and informative digital content.
Preprint 2025
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MS-Temba: Multi-Scale Temporal Mamba for Efficient Temporal Action Detection
Arkaprava Sinha, Monish Soundar Raj, Pu Wang, Ahmed Helmy, Srijan Das
📄 More details coming soon
Peer Reviewed Selected Publications
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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.
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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
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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
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Ziyi Zhou, Bachelor Research Thesis, University of Delaware
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Aniket Tiwari, Bachelor Research Project, University of North Carolina at Charlotte
Awards
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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
