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ibnathism/README.md

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👋 About Me

I’m a PhD student and graduate research assistant at the SOCAL Research Group (UC Riverside), working under Professor Daniel Wong. My research sits at the intersection of Systems Optimization and Computer Architecture—especially using eBPF, Linux kernel tracing, and advanced observability techniques to drive better system performance and efficient runtime management.

My current focus is on leveraging eBPF for application-level metric collection, powering smarter dynamic power management and QoS-aware energy optimization in heterogeneous systems.


🛠️ Expertise

  • eBPF & Kernel-level Instrumentation
  • Linux Kernel & Systems Programming
  • Systems Optimization & Performance Analysis
  • Computer Architecture
  • Runtime Observability & Energy Management

📚 Current & Future Work

  • Tracing application and kernel metrics with eBPF for runtime analysis
  • Developing QoS-aware power management algorithms
  • Optimizing energy usage and system efficiency at scale
  • Exploring new methods for system-level observability in heterogeneous environments

🌐 Connect With Me

LinkedIn Website


📖 Fun Fact

When I’m not hacking on kernel modules or reading about computer systems, you’ll find me curled up with a good book.


Pinned Loading

  1. eBeeMetrics eBeeMetrics Public

    An eBPF-based library framework to accurately observe application-level metrics derived from only eBPF-observable events, such as system calls.

    Python

  2. ebpf-training ebpf-training Public

    Forked from DataDog/ebpf-training

    Go

  3. learning-ebpf learning-ebpf Public

    C

  4. computer-networks computer-networks Public

    Different Layers of Computer Network

    C

  5. AES-encryption-algorithm AES-encryption-algorithm Public

    Python

  6. artificial-intelligence artificial-intelligence Public

    Offlines of CSE-318 (AI) course

    Java 1