Jermaine Cameron GRA, MS Cyber

Jermaine Cameron is a graduate student at Kennesaw State University pursing a Master of Science in Cybersecurity. His research interests include Machine Learning, Network Security, Fraud Detection, and Malware Analysis. In 2021, he completed a research mentorship with the Evidence Based Cybersecurity Research Group at Georgia State University and partnered with a leading Fortune 500 software company. Jermaine is also an active member of the Offensive Security Research Club at Kennesaw State and has competed in a number of national cybersecurity competitions.
Email: jcamero6 at students.kennesaw.edu
Initial Job: Cybersecurity researcher, Applied Physics Laboratory, Johns Hopkins University

Hongkyu Lee GRA, MSCS (Spring 2020 - Summer 2021)

Hongkyu Lee received Bachelor of Electrical Engineering from Hanyang University, South Korea (2019). Currently, he is a research assistant in Information and Intelligent Security Lab, Kennesaw State University.
Research interest: Cybersecurity, Deep Learning, and Adversarial Machine Learning
Website: https://redkyu.github.io/
Initial Job: Ph.D. student in the Department of Computer Science, Emory University

Luke Cranfill GRA, MSCS (Spring 2020 - Summer 2021)

My name is Luke Cranfill, I am a graduate student at Kennesaw state university. My areas of research interest include machine learning, cyber security, and privacy
Initial Job: Software Engineer at Home Depot

William Stone GRA, MSCS (Fall 2018 - Summer 2020), Research Assistant (Fall 2020 - Spring 2021)

Current Project: application of machine learning techniques for encrypted malware detection
Research Interests: Artificial Intelligence, Machine Learning, Cybersecurity
Thesis Topic: TBD
Anticipated Graduation: Summer 2020
Extended Bio
Initial Job: Software Developer for the IT team at General Motors (GM)

Victor Youdom Kemmoe GRA, MSCS (Spring 2019 - Summer 2020), Research Assistant (Fall 2020 - Spring 2021)

Victor Youdom Kemmoe received the Bachelor of Science in Computer Science from Kennesaw State University, Georgia, United States (2018). Since January 2019, he is pursuing the Master of Science in Computer Science at Kennesaw State University where he is also a graduate research assistant in the Information and Intelligent Security laboratory. His research interests include Applied Cryptography, Cybersecurity, Blockchain and Smart Contracts, Machine learning in Cybersecurity, Quantum Computing.
Website: https://vicxekro.github.io/mypage/
Initial Job: Ph.D. student in the Department of Computer Science, Brown University

Daniel Karasek GRA, MSCS, Spring 2019 - Spring 2020

I am a college graduate from Southern Polytechnic State University with a double bachelor's degree in Mathematics and Physics and am currently pursuing a master's degree from Kennesaw State in Computer Science with a focus on Data Analytics. In my undergraduate days I did some research in acoustical engineering, graph theory, and combinatorics. I have recently done some research in the field of bioinformatics involving the creation of an algorithm to perform random lasso using Apache Spark. I'm currently splitting what free time I have away from school among writing for Immersive Atlanta, playing Fortnite, going to festivals and concerts, and working on personal projects. I do creative non-fiction writing for Immersive Atlanta, which translate to doing show coverage and music reviews. I've attended over 20 music festivals so far including Shaky Knees, Music Midtown, Beale Street, Hangout, Firefly, Bonnaroo, and HiJinx. My latest personal project has been in developing an inventory management system using computer vision on a Raspberry Pi. I am looking to extend this project to the Pi Zero and create basic security cameras that can connect to a local network. I ultimately want to create a product to bring to market where anyone without technical knowledge can use it. I think technology should be for anyone that wants to use it. My research in cybersecurity will be focused around machine learning. To be determined.
Website for the Object Detection Project: https://github.com/RealHulubulu/openCVObjectDetectionRPi
Website for COVID-19 Visualization: http://www.visualizecovid19.live/

Publications:

• Daniel Y. Karasek, Jeehyeong Kim, Victor Youdom Kemmoe, Md Zakirul Alam Bhuiyan, Sunghyun Cho, and Junggab Son, "SuperB: Superior Behavior-based Anomaly Detection Defining Authorized Users' Traffic Patterns," in Proceedings of theThe 29th International Conference on Computer Communications and Networks (ICCCN 2020), pp. 1-9, August 2020

Initial Job: Junior Data Engineer at Business Impact