Mandeep Kumar

About

Mandeep Kumar is a Practice Lead in High Performance Computing (HPC), driven by a passion for innovation and a commitment to excellence in transforming complex computational challenges into actionable solutions. His expertise spans parallel processing, distributed computing, and cloud-based solutions, enabling him to architect scalable infrastructures that enhance computational efficiency and accelerate R&D initiatives across various industries. As a strategic thinker, he prioritizes collaboration and knowledge sharing, guiding stakeholders through HPC adoption while ensuring alignment with business objectives. With a proven track record in managing high-impact HPC projects, performance tuning, and mentoring emerging talent, he is always eager to connect with fellow HPC professionals and organizations to drive innovation in computational science.

Employment

• SHI Solutions India Private Limited Practice Lead - HPC
  2025 - Present
• Locuz Enterprise Solutions Private Limited Practice Lead - HPC
  2024 - 2025
• Locuz Enterprise Solutions Ltd Team Lead - HPC
  2023 - 2024
• Locuz Enterprise Solutions Ltd Technology Specialist - HPC
  2021 - 2023
• Locuz Enterprise Solutions Ltd Technology Associate - HPC
  2018 - 2021
• Locuz Enterprise Solutions Ltd Software Engineer (HPC Applications)
  2018 - 2018
• Punjab Remote Sensing Centre Junior Research Fellow (IT)
  2018 - 2018
• Ganpat University Assistant Professor (Visiting)
  2017 - 2018

Education

• Chandigarh University Doctor of Philosophy (Ph.D) - Computer Applications
  2021 - Present
• Central University of Haryana Master of Computer Applications (MCA)
  2014 - 2017
• IFTM University Bachelor of Computer Application (BCA)
  2011 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (17)

• Workload-Aware Multi-Criteria Resource Optimization for Cloud-Native HPC: A Molecular Dynamics Case Study
  SN Computer Science 2026 DOI: 10.1007/s42979-026-05226-8
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• Performance, portability, productivity, and security in HPC cloud: a systematic literature review
  Journal of Supercomputing 2025 DOI: 10.1007/s11227-025-07685-x
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• Ranking Cloud HPC Instances with TOPSIS and Statistical Validation
  2025 5th Asian Conference on Innovation in Technology Asiancon 2025 2025 DOI: 10.1109/ASIANCON66527.2025.11280762
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• Aarch64 vs. x86-64 in HPC Cloud: Performance and Cost Evaluation
  International Conference on Parallel Distributed and Grid Computing Pdgc 2024 DOI: 10.1109/PDGC64653.2024.10983990
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• HPC Performance on AWS: EFA Integrated Intel Instances for MPI Applications
  International Conference on Parallel Distributed and Grid Computing Pdgc 2024 DOI: 10.1109/PDGC64653.2024.10984089
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• Robust evaluation of GPU compute instances for HPC and AI in the cloud: a TOPSIS approach with sensitivity, bootstrapping, and non-parametric analysis
  Computing 2024 DOI: 10.1007/s00607-024-01342-6
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• Performance Analysis of Multiphysics Simulation Workloads on Cloud Infrastructure
  2023 3rd Asian Conference on Innovation in Technology, ASIANCON 2023 2023 DOI: 10.1109/ASIANCON58793.2023.10270454
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• Performance Analysis of Computational Fluid Dynamics Workloads on HPC in the Cloud
  2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023 2023 DOI: 10.1109/ICCCNT56998.2023.10306604
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• Distributed Execution of Dask on HPC: A Case Study
  2023 World Conference on Communication and Computing, WCONF 2023 2023 DOI: 10.1109/WCONF58270.2023.10234994
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• An Empirical Study of Containerized MPI and GUI Application on HPC in the Cloud
  Proceedings - 2022 2nd International Conference on Innovative Sustainable Computational Technologies, CISCT 2022 2022 DOI: 10.1109/CISCT55310.2022.10046607
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