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Myungjun (MJ) Son

Ph.D. Candidate

Education

Ph.D. in Computer Science

The Pennsylvania State University, USA
2019 - 2025 (expected)

Master in Computer Science

Kookmin University, South Korea
2017 - 2019

Bachelor in Computer Science

Kookmin University, South Korea
2010 - 2017

Interests

  • Cloud Computing
  • Serverless Computing
  • Data Analytics

About Theme

Career Profile

Ph.D. candidate in Computer Science with expertise in distributed systems and cloud optimization. Skilled in AWS, Python, and machine learning frameworks, with a track record of driving cost-efficient and high-performance solutions in cloud-native environments. Seeking full-time opportunities to leverage cloud computing and distributed systems expertise.

Google Scholar

Recent News

  • [01/2025] - Accepted a return offer for the HPE Summer Internship
  • [12/2024] - Passed Comprehensive Exam!
  • [09/2024] - Paper accepted to 2024 ACM Middleware!

Work Experience

Systems Architecture Lab

Jun 2024 - Aug 2024
Hewlett Packard Enterprise, Milpitas, California, USA
  • Collaborated with the Systems Architecture Lab at Hewlett Packard Labs to enhance performance and scalability in distributed HPC systems.
  • Developed a communication framework for distributed HPC systems using ZeroMQ and Mercury in C, contributing to more efficient data handling across nodes.

R&D Summer Intern

May 2023 - Aug 2023
Takeda Pharmaceutical, Boston, Massachusetts, USA
  • Optimized and automated data pipelines in collaboration with the Digital Platforms team, reducing manual processing through AWS analytics tools.
  • Improved system performance, achieving a 25\% reduction in operational costs through data-driven optimizations.

Publications

  • SpotVerse - Enhancing Workflow Efficiency with Multi-Region Spot Instances for Galaxy and Beyond
    • Myungjun Son, Gulsum Gudukbay, Mahmut Kandemir
    25th ACM/IFIP International Middleware Conference (ACM Middleware) (Acceptance Rate - 23%)
  • FAAStloop - Optimizing Loop-Based Applications for Serverless Computing
    • Shruti Mohanty, Vivek M. Bhasi, Myungjun Son, Mahmut Kandemir, Chita Das
    15th ACM Symposium on Cloud Computing (ACM SoCC)
  • MicroBlend - An Automated Service-Blending Framework for Microservice-Based Cloud Applications
    • Myungjun Son, Shruti Mohanty, Jashwant Raj Gunasekaran, Mahmut Kandemir
    2023 IEEE 16th International Conference on Cloud Computing (CLOUD) (Acceptance Rate - 21%)
  • Splice - An Automated Framework for Cost- and Performance-Aware Blending of Cloud Services
    • Myungjun Son, Shruti Mohanty, Jashwant Raj Gunasekaran, Aman Jain, Mahmut Kandemir, George Kesidis, Bhuvan Urgaonkar
    The 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID 2022) (Acceptance Rate - 24%)
  • Modeling Distributed Matrix Multiplication Performance on a Scale-out Cloud Environment for Data Mining Jobs
    • Jeongchul Kim, Myungjun Son, Kyungyong Lee
    IEEE Transactions on Cloud Computing 2019
  • Distributed Matrix Multiplication Performance Estimator for Machine Learning Jobs in Cloud Computing
    • Myungjun Son and Kyungyong Lee
    2018 IEEE 11th International Conference on Cloud Computing (CLOUD)
  • DeepSpotCloud - Leveraging Cross-Region GPU Spot Instances for Deep Learning
    • Kyungyong Lee and Myungjun Son
    2017 IEEE 10th International Conference on Cloud Computing (CLOUD) (Acceptance Rate - 19%)

    Skills & Proficiency

    Cloud Computing, Serverless Computing, Distributed Systems

    Microservices, Machine Learning, Federated Learning

    Design of Experiments, High-Performance Computing