Muntaka Ibnath

Riverside, California · (+1) 951-261-7143 · muntakaibnath@gmail.com
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I am a graduate student researcher at the SOCAL Research Group under the supervision of Professor Daniel Wong, specializing in Systems Optimization and Computer Architecture. My research primarily focuses on leveraging advanced tracing and monitoring techniques, such as eBPF, to enhance system performance and optimize system management runtimes.

Through my work, I explore how eBPF can be utilized to provide deeper insights into system behavior, enabling runtime observability and facilitating more efficient energy management. I have applied these techniques to trace kernel and application-level metrics for system performance analysis, aiming to drive improvements in dynamic power management and Quality-of-Service (QoS) in heterogeneous environments.

Looking ahead, I am excited to continue exploring kernel-level instrumentation and developing QoS-aware power management algorithms with eBPF, aiming to optimize system efficiency and energy usage at scale.

Education

University of California Riverside (UCR)

Ph.D.
Computer Science and Engineering

Advisor: Daniel Wong

Relevant Coursework:
Graphics Processing Unit, Advanced Operating Systems, Advanced Computer Architecture, Computer Security, Software Testing and Analysis, Software Security

September 2023 - present

University of California Riverside (UCR)

M.Sc.
Computer Science and Engineering
Conferred June 2025

Bangladesh University of Engineering and Technology (BUET)

Bachelor of Science
Computer Science and Engineering

CGPA: 3.72 / 4.00

Relevant Coursework:
Human-Computer Interaction, Computer Networking, Computer Security, Software Engineering, Object-Oriented Programming, Data Structures and Algorithms, Basic Graph Theory, Discrete Math, Operating System, Computer Architecture, Compiler, etc.

Feb 2017 - May 2022

Publications

eBeeMetrics: An eBPF Library for Obtaining Feedback-free Application-level Metrics

Authors: Muntaka Ibnath, Mohammadreza Rezvani, Daniel Wong
Developed an eBPF‑based tracing library to collect feedback‑free application‑level latency metrics for latency‑sensitive applications, without modifying application code or the kernel. Validated the library’s effectiveness across diverse network protocols and real‑world, latency‑critical workloads
HPCA 2026
(Under Review)

FedBand: Adaptive Federated Learning Under Strict Bandwidth Constraints

Authors: Taghreed Alanazi, Abdulrahman Fahim, Muntaka Ibnath, Basak Guler, Amit Roy Chowdhury, Ananthram Swami, Evangelos E. Papalexakis, Srikanth V. Krishnamurthy
Contributed to the development of an adaptive federated learning model, improving efficiency under bandwidth constraints through Mininet‑based real‑world network emulations.Validated the model’s robustness and scalability.
ICCCN 2025

On Feature Selection Algorithms for an Effective Botnet Detection

Authors: Meher Afroz, Muntaka Ibnath, Ashikur Rahman, Jakia Sultana, Raqeebir Rab
The primary focus of the work is to compare 5 different heuristics for feature selection algorithm for an effective botnet detection. We extracted 15 features from ISCX botnet dataset using Wireshark. We also presented a comparative analysis on the algorithms based on their detection rate and false alarm rate. We further calculated the time complexities of all the heuristics. The best one resulted in around 90% detection rate.
JNSM '23

Research

Dynamic Power Management and QoS Optimization using eBPF

  • - Developing network-aware power management policies in Linux by integrating P-state and C-state scheduling algorithms using eBPF.
  • - Coordinating CPU states and Linux scheduler policies to optimize energy efficiency.
  • - Designing low-latency, workload-specific QoS feedback mechanisms with minimal overhead.

    • August 2025 - present

    Mapping Network Traces with Network Topologies using Generative Models

    Analyzed and tested the mapping algorithm between topologies and traces

    January 2024 - April 2024

    NeuroLandscape

  • Analyzed the affordable mind monitoring technologies for the article - Affordable Technologies for Evidence Based Studies and Mind Monitoring
  • Worked with Bangladesh team on one of their research projects named "Planting Seeds of Empowerment"
  • Interviewed and communicated with the women living in slums of Dhaka regarding their economic condition

    • January 2020 - June 2021

    Experience

    Graduate Student Researcher

    University of California Riverside(UCR)
    • Working with the SOCAL research group
    April 2025 - present

    Teaching Assistant

    University of California Riverside(UCR)
    • Courses: CS10C(Data Structures and Algorithms), CS169(Mobile Wireless Communication), CS100(Software Construction)
    • Conducted Lab and discussions of the courses
    • Supervised the term projects and part of the evaluating team
    January 2024 - March 2025

    Lecturer

    United International University
    • Theory Courses: Discrete Mathematics, Software Engineering
    • Lab Courses: Advanced Object Oriented Programming Lab, Data Structures and Algorithms Lab
    • Designed the Human Computer Interaction course for Fall 2022
    • Worked as the project supervisor of 16 teams including 2 award winning teams in UIU Project Show 2022
    June 2022 - July 2023

    Software Engineer (Part-time)

    Sohopathi
    • Maintained the front-end of ed-tech platform Sohopathi
    • Worked on the Admin Dashboard project with a team
    • Actively participated in the ongoing and future plannings and UX analysis of the company with their operations and design team
    February 2021 - February 2022

    Skills

    Programming Languages & Tools
    • Programming: Python, Go, Java, JavaScript, C/C++, Bash, SQL, HTML/CSS, XML
    • Miscellaneous: eeBPF(BCC, bpftool), GCP, Kernel instrumentation tools(strace, ptrace, ftrace), Docker, Git, React, Next.js, Oracle, PostgreSQL, MongoDB, NumPy, Pandas, Scikit-learn, TensorFlow, Matplotlib, Material UI, Figma
    • Soft Skills: Time Management, Teamwork, Problem-solving, Documentation, Engaging Presentation, Task Organization

    Projects

    Traffic Sign Recognition

    • Built a deep neural network model having 98\% accuracy that can classify and recognize a traffic sign present in an image
    • Trained model using the GTSRB dataset

    Front-end Developer, Inova Furniture BD

    • Implemented the frontend of the website of Inova Furniture BD using React and Material UI
    • Integrated API using graphQl and Apollo client

    Front-end Developer, Bookflix

    • Developed modern and interactive front-end using React and Material UI
    • Developed the core feature: user-preference based infinite scrolling

    Please feel free to visit my github profile for more projects.

    Awards & Honors

    • Dean’s Distinguished Fellowship, University of California, Riverside, 2023
    • Runners up - HerWill Datathon, 2022
    • Dean’s Merit Award, Bangladesh University of Engineering and Technology (BUET), 2021 and 2019
    • Runners up - Ada Lovelace Datathon, 2021
    • Winner - Covid-19 Idea contest, IEEE BUET Student Branch, 2020
    • Talent Pool Scholarship, Merit Position: 1 (Dhaka Board) - Higher Secondary School Certificate Exam, 2017
    • Talent Pool Scholarship, Merit Position: 66 (Dhaka Board) - Secondary School Certificate Exam, 2014

    CV

    Click here to download my full CV.

    Contact

    University of California Riverside
    WCH 459, 900 University Ave
    Riverside, CA 92521

    Phone: +1 (951) 261-7143
    Email: muntakaibnath@gmail.com, mibna001@ucr.edu