NetML

Networking & Machine Learning Lab

University of Central Missouri

Directed by: Dr. Ahmet Aksoy
aksoy {at} ucmo.edu
Department of Computer Science & Cybersecurity
University of Central Missouri

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Join Our Research Team in Network Security and Machine Learning

Dr. Aksoy invites applications from dedicated and enthusiastic students eager to delve into the realms of Network Security and Machine Learning. We are on the lookout for individuals who bring a strong foundation in programming and a keenness to assimilate theoretical concepts in these cutting-edge fields.

If you are driven by curiosity and ready to contribute to groundbreaking research, we would love to hear from you. To express your interest, please arrange a meeting by visiting Dr. Aksoy's office, or submit your application via contact information provided below. Your application should include your Curriculum Vitae (CV) and a brief statement of your research interests and professional aspirations.

This is more than a call for participation; it's an invitation to be at the forefront of technological innovation in a dynamic and supportive research environment. We eagerly await the unique perspective you will bring to our team.

Research appeared in Chameleon Cloud Research Blog.
Research featured in NSA CAE Tech Talk Platform.

Email: aksoy {at} ucmo.edu
Office: WCM 115




Director:

    Ahmet Aksoy, Ph.D.

    Assistant Professor

    aksoy {at} ucmo.edu
    Department of Computer Science & Cybersecurity
    University of Central Missouri

Current Students:

    Luis Valle

    Automated Network Incident Identification through Genetic Algorithm-Driven Feature Selection

    lev33910 {at} ucmo.edu

    Sundeep Varma

    Comparative Analysis of Feature Selection Algorithms for Automated IoT Device Fingerprinting

    sxv54730 {at} ucmo.edu

    Yaman Shrestha

    Large Language Models in Incident Classification

    yxs33220 {at} ucmo.edu

    Ganesha Moorthy

    Comparative Analysis of Feature Selection Algorithms for Automated IoT Device Fingerprinting

    gxp93940 {at} ucmo.edu

    Enya Pan

    Comparative Analysis of Feature Selection Algorithms for Automated IoT Device Fingerprinting

    exp99350 {at} ucmo.edu

Previous Students:

    Sachin Rana

    Automated Fast-flux Detection using Machine Learning and Genetic Algorithms

    sxr53490 {at} ucmo.edu

    Emiline Stewart

    Network Traffic Fingerprinting using Artificial Bee Colony Algorithm

    ers10570 {at} ucmo.edu

    Sharwin Reddy

    Network Traffic Fingerprinting using Ant Colony Algorithm

    sxp32460 {at} ucmo.edu




Lab: