Muntaka Ibnath

Riverside, California · (+1) 951-261-7143 · muntakaibnath@gmail.com
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In my 2nd year of Ph.D. in Computer Science at University of California, Riverside. Currently, I am working with SOCAL research group under the supervision of Professor Daniel Wong. I work on systems optimization through tracing various system calls in the kernel using eBPF. My research focuses on enhancing system performance by leveraging advanced tracing and monitoring techniques.

Education

University of California Riverside (UCR)

PhD
Computer Science and Engineering

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

September 2023 - present

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

Publication

On Feature Selection Algorithms for an Effective Botnet Detection

Other Authors: Meher Afroz, Ashikur Rahman, Jakia Sultana, Raqeebir Rab
Co-Author
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

In Kernel Observability in Latency Sensitive Applications

Observing the request level behaviour from the server point of view.

July 2024 - present

Mapping Network Traces with Network Topologies using Generative Models

Analyzed and tested the mapping algorithm between topologies and traces

January 2024 - April 2024

FoB: Federated Learning in a Bandwidth Budget

Co-Author
Simulated the technique in a closer to real-world simulation environment and reported the results

December 2023 - January 2024

Personalized Energy Level Prediction During Menstrual Cycle

Supervisor: Dr. Tanzima Hashem, Professor, CSE, BUET
Analyzing the different parameters that affects menstrual cycle and formulating the problem

September 2022 - May 2023

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 Research Assistant

    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, Java, Javascript, C/C++, SQL
    • Miscellaneous: eBPF, Linux, Shell, LaTeX, Git, GitHub, React, Next.js, Material UI, Figma, Oracle, PostgreSQL
    • 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

    • Runners up - HerWill Datathon, 2022
    • 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
    900 University Ave
    Riverside, CA 92521

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