Junggab Son, Ph.D. Assistant Professor, Director of IIS

Office: J 340
Email: json at kennesaw.edu
Website: https://sites.google.com/site/junggabson/
Google Scholar: https://scholar.google.com/citations?user=5xaIVQ0AAAAJ&hl=en

Mallika Boyapati Ph.D. Student in Analytics and Data Science (CS Concentration)

I am interested in applying machine learning and deep learning techniques in cybersecurity and information security domain.
Aug. 2021 - Present, Ph.D. student in Analytics and Data Science, Kennesaw State University

Tejaswini Mallavarapu Ph.D. Student in Analytics and Data Science

Research interests: Machine Learning, Deep Learning, and Bioinformatics
Aug. 2018 - Present, Ph.D. student in Analytics and Data Science, Kennesaw State University

Seunghyeon Shin Research Assistant, January 1, 2022 - present

Seunghyeon Shin received his Bachelor of Science in Computer Science and Master of Science in Computer Science at Kennesaw State University. Now he is a research assistant in Information and Intelligent Security Lab, Kennesaw State University.

Research Interests: Deep Learning, Cybersecurity, Cloud Computing
Email: sshin9 at students.kennesaw.edu
GitHub: https://github.com/SeunghyeonS?tab=repositories

Tong Chen GRA, MSCS

Tong Chen received his Bachelor of Science in Computer Science at Kennesaw State university and he is a graduate student pursuing his Master of Science in Computer Science with Artificial Intelligence concentration at Kennesaw State University.

Research interests: machine learning, computer vision, natural language processing
Email: tchen7 at students.kennesaw.edu

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

Lucie Gayelle Assonfack Kana GRA, MSCS



Research interests: Machine Learning, AI, BigData, and Applied Cryptography

Email: lassonfa at students.kennesaw.edu

Kishore Gantla GRA, MSCS

Kishore Gantla is currently pursuing his master’s in computer science at Kennesaw State University.

Research interests: Machine Learning, AI, BigData, and Applied Cryptography

Email: kghantla at students.kennesaw.edu

Bala Chaitanya Sai Lakshmi Gutta GRA, MSCS

I have completed my Bachelor’s degree in India and worked as Software Engineer for 1.5 years. Currently pursuing my Master’s degree in Computer Science with Cyber and Network Security concentration at Kennesaw State.

Research Interests: Machine Learning, Artificial Intelligence, Cyber Security
Email: bgutta at students.kennesaw.edu
LinkedIn: https://www.linkedin.com/in/bala-chaitanya-gutta-08941a19b/

Gichan Lee Ph.D. student, July 2021 - April 2022

Research interests: Code Smell, Software Engineering, ML4SE (Machine Learning for Software Engineering)
Affiliation: Ph.D. in Computer Science and Engineering, Hanyang University, Ansan, South Korea

Jemin Ahn Ph.D. student, July 2021 - April 2022

Research interests: Web Browser, Network
Affiliation: Ph.D. in Computer Science and Engineering, Hanyang University, Ansan, South Korea

Jaeyoung Kim M.S. student, August 2021 - February 2022

Research interests: Explainable ArtificiaI Intelligence, Computer vision
Affiliation: M.S. in Applied Artificial Intelligence, Hanyang University, Ansan, South Korea

Hongbi Jeong M.S. student, August 2021 - February 2022

Research interests: Medical Artificial Intelligence, Deep Learning
Affiliation: M.S. in Applied Artificial Intelligence, Hanyang University, Ansan, South Korea
Email: hbjeong@hanyang.ac.kr

Daeyoung Kim, Ph.D. Post-Doc. (Fall 2019 - Spring 2020), Limited-term Assistant Professor (Fall 2020 - Summer 2021)

Ph.D in Computer Science at Rutgers University
Research Interests: Computer Systems Security, and Mobile Computing
Website: http://daeyoung.kim/
Google Scholar: https://scholar.google.com/citations?hl=en&user=XCDh1sEAAAAJ
Publications:

• William Stone, Daeyoung Kim, Victor Youdom Kemmoe, Mingon Kang, and Junggab Son, "Rethinking the Weakness of Stream Ciphers and Its Application to Encrypted Malware Detection," IEEE ACCESS,vol.8, pp. 191602-191616, October 2020
• Victor Youdom Kemmoe, William Stone, Jeehyeong Kim, Daeyoung Kim, and Junggab Son, "Recent Advances in Smart Contracts: A Technical Overview and State of the Art," IEEE ACCESS, vol. 8, pp. 117782-117801, June 2020

Initial Job: Assistant Professor, Department of Computer Science, Montclair State University

Jeehyeong Kim, Ph.D. Visiting Scholar (Aug. 2019 - July 2020), Postdoctoral Researcher (Aug. 2020 - Jan. 2021)

Email: manje111 at gmail.com
Website: https://sites.google.com/view/jin89/home
Google Scholar: https://scholar.google.com/citations?user=D-d-28gAAAAJ&hl=en
Publications:

• Hongkyu Lee, Jeehyeong Kim, Rasheed Hussain, Sunghyun Cho, and Junggab Son, "On Defensive Neural Networks Against Inference Attack in Federated Learning," accepted in IEEE International Conference on Communications (ICC): Communication and Information Systems Security Symposium (CISS), pp.1-6, June 2021
• Jeehyeong Kim, Junggab Son, William Stone, Hyunbum Kim, Jaewon Noh, and Sunghyun Cho, "A Novel Resource Allocation Scheme for NOMA-V2X-Femtocell with Channel Aggregation," in Proceedings of the IEEE Global Communications Conference (GlobeCom 2020), pp.1-6, December 2020
• Victor Youdom Kemmoe, William Stone, Jeehyeong Kim, Daeyoung Kim, and Junggab Son, "Recent Advances in Smart Contracts: A Technical Overview and State of the Art," IEEE ACCESS, vol. 8, pp. 117782-117801, June 2020
• 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 The 29th International Conference on Computer Communications and Networks (ICCCN 2020), pp. 1-9, August 2020

Initial Job: Senior Researcher of Autonomous IoT Platform Research Center at Korea Electronics Technology Institute, Republic of Korea

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: Software Engineer at TelChemy

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

Woonghee Lee Ph.D. student, July 2021 - January 2022

Research interests: continual learning, missing-data imputation, time series regression, interactive machine learning
Affiliation: Ph.D. in Computer Science and Engineering, Hanyang University, Ansan, South Korea
Google Scholar: https://scholar.google.co.kr/citations?user=1gazmgUAAAAJ&hl=en

Jaewon Noh Ph.D. Student, September 2020 - March 2021

He received the B.E. degree in Computer Science and Engineering from Hanyang University, South Korea, in 2015. He is currently pursuing the combined master's and doctorate program in Computer Science and Engineering at Hanyang University, South Korea. Since 2015, he has been with the Computer Science and Engineering, Hanyang University of Engineering, South Korea.

Research interests: Security in wireless network, vehicular communication, Blockchain
Email: wodnjs1451@hanyang.ac.kr
Homepage: https://sites.google.com/view/jaewonnoh
Google Scholar: https://scholar.google.com/citations?view_op=list_works&hl=ko&user=_jSjGJ8AAAAJ

Ye Eun Kim Ph.D. Student, January 2020 - December 2020

Affiliation: Information Security Lab, Hanyang University, South Korea
Email: yeeunkim1216@gmail.com
Research interests: Voice Interface Security

Yongseok Kwon Ph.D. student, December 2019 - June 2020

Email: totoey200@gmail.com
Research interests: Applied Cryptography, Blockchain, and Smart Contract
Publications during the visit:

• Victor Youdom Kemmoe, Yongseok Kwon, Seunghyeon Shin, Rasheed Hussain, Sunghyun Cho, and Junggab Son, "Leveraging Smart Contracts for Asynchronous Group Key Agreement in Internet of Things," in Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2020), pp. 1-6, October 2020