Skip to content
View kahramankostas's full-sized avatar

Block or report kahramankostas

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
kahramankostas/readme.md

Hi there 👋, I am Kahraman Kostas!

PhD

I hold a PhD in Computer Science from the School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, where my research focused on IoT security, particularly device identification and attack detection. My broader interests include computer networks, indoor positioning, and the practical applications of machine learning. I previously worked as a Researcher at Huawei's Edinburgh R&D Centre, where I developed machine learning solutions for indoor positioning using geospatial data.

I hold an MSc in Computer Networks and Security (Distinction) from the University of Essex, with my thesis centered on using machine learning for network attack detection (Supervised by Martin Reed). My undergraduate background is in Computer Education and Instructional Technology from Marmara University.

Before pursuing graduate studies, I spent seven years teaching computer science in Turkey and contributed to national education projects, including the Fatih Project, which aimed to integrate technology into public education. I am currently a National Education Specialist at the Ministry of National Education, focusing on educational systems for overseas students.

In addition to my professional work, I have a keen interest in Turkish literature, etymology, classical poetry, hiking, and photography.

You can find my detailed CV in here.

You can also find me on

linkedin instagram twitter facebook website gmail

Pinned Loading

  1. Anomaly-Detection-in-Networks-Using-Machine-Learning Anomaly-Detection-in-Networks-Using-Machine-Learning Public

    A thesis submitted for the degree of Master of Science in Computer Networks and Security

    Jupyter Notebook 202 68

  2. IoTDevIDv2 IoTDevIDv2 Public

    A Behavior-Based Device Identification Method for the IoT

    Jupyter Notebook 49 14

  3. NSL-KDD-binary-classification-with-Transformer NSL-KDD-binary-classification-with-Transformer Public

    NSL KDD binary classification with Transformer

    Jupyter Notebook 10 2

  4. Prediction-of-wind-turbine-power-generation-from-real-time-SCADA-data Prediction-of-wind-turbine-power-generation-from-real-time-SCADA-data Public

    Prediction of wind turbine power generation from real-time SCADA data

    Jupyter Notebook 9 2

  5. Huawei-UK-University-Challenge-Competition-2021 Huawei-UK-University-Challenge-Competition-2021 Public

    Data Science for Indoor positioning

    Jupyter Notebook 6 2

  6. IoTGeM IoTGeM Public

    IoT Attack Detection with machine learning

    Jupyter Notebook 21 4