Youssef Elmougy

Publications. Education and Experience. CV.

Atlanta, GA USA

I am a Ph.D. student in Computer Science at the Georgia Institute of Technology advised by Dr. Vivek Sarkar in the Habanero Extreme Scale Software Laboratory (graduating '25). I was previously a Research Intern at NVIDIA (NV Research - PSA) in 2024 and at the Lawrence Berkeley National Lab (PAR) in 2023. My main concentration is in Systems, High Performance Computing, and Deep Learning (AI/DL).

I received both my B.S. in Computer Science (concentration in Artificial Intelligence and Computer Modeling) in 2021 and my M.S. in Computer Science (concentration in High Performance Computing) in 2022 from Georgia Tech.

Recently, my research is concentrated on building runtime systems and distributed applications for large-scale computations, focusing on novel communication strategies, efficient data distributions, scalability performance, and SW/HW co-design.

Research Interests

Distributed/parallel systems, High Performance Computing (HPC), programming models, deep learning

Selected Publications

  1. Asynchronous Distributed Actor-based Approach to Jaccard Similarity for Genome Comparisons
    Youssef Elmougy, Akihiro Hayashi, Vivek Sarkar
    ISC High Performance, 2024
  2. A Distributed, Asynchronous Algorithm for Large-Scale Internet Network Topology Analysis
    Youssef Elmougy, Akihiro Hayashi, Vivek Sarkar
    IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID), 2024. 🏅Won the IEEE TCSC SCALE 2024 Award
  3. Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics
    Youssef Elmougy, Ling Liu
    ACM KDD Conference on Knowledge Discovery and Data Mining (KDD), 2023
  4. Highly Scalable Large-Scale Asynchronous Graph Processing using Actors
    Youssef Elmougy, Akihiro Hayashi, Vivek Sarkar
    IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID), 2023. 🏅Won the IEEE TCSC SCALE 2023 Award
  5. A Fine-grained Asynchronous Bulk Synchronous parallelism model for PGAS applications
    Sri Raj Paul, Akihiro Hayashi, Kun Chen, Youssef Elmougy, Vivek Sarkar
    Journal of Computational Science, 2023
  6. Diagnosing the interference on CPU-GPU Synchronization Caused by CPU Sharing in Multi-Tenant GPU Clouds
    Youssef Elmougy, Weiwei Jia, Xiaoning Ding, Jianchen Shan
    IEEE International Performance, Computing, and Communications Conference (IPCCC), 2021
  7. Anomaly Detection on Bitcoin, Ethereum Networks Using GPU-accelerated Machine Learning Methods
    Youssef Elmougy, Oliver Manzi
    IEEE International Conference on Computer Theory and Applications (ICCTA), 2021