Manar Mohaisen

Manar Mohaisen

Associate Professor, CS

Advising

Graduate Students

  1. Ahmet Alptekin, Recent perspectives on artificial intelligence in education: Opportunities, ethical challenges and future directions, Master’s Project, 2025.
  2. Joseangel Ramos, Security Information and Event Management (SIEM): Elastic Stack, Master’s Project, 2025.
  3. Hamdan Aynazarov, Analysis of cultural bias in large language models, Master’s Project, 2025.
  4. Hemanthsatya Arvapalli, Image-based learning techniques for malware classification: A systematic review, Master’s Project, 2024.
  5. Melinda Vigh, Web attacks’ detection using deep and machine learning techniques, Master’s Project, 2024.
  6. Riya Bhutada, Leveraging large language models for cybersecurity multiple-choice questions, Master’s Project, 2024.
  7. Sadaf Naaz Farooqui, Malware clustering using machine learning techniques, Master’s Project, 2024.
  8. Jemin Miyani, Stock price prediction using machine and deep learning techniques, Master’s Project, 2024.
  9. Anne Ryan, Digital image forensics using deep learning, Master’s Project, 2023.
  10. Thomas Quinn, An assessment of the U.S. preparedness for foreign cybersecurity threats, Master’s Thesis, 2023.
  11. Dennis George, Transport layer security: History, benefits, and adoption rate, Master’s Project, 2023.
  12. George Medairy, Denial-of-service attack detection using machine learning techniques, Master’s Project, 2023.
  13. Maulik Patel, SSL certificate security and HTT/3 adoption rate, Master’s Project, 2023.
  14. Samiya Abid, Why is the world afraid of AI? Master’s Project, 2023.
  15. Ashle Samczynski, Malware analysis and classification using machine learning, Master’s Project, 2022.
  16. Anjum Zarfishan, Online procurement and bidding system, Master’s Project, 2022.
  17. Saif Alsukhni, Automotive digital forensics: Methodology and analysis, Master’s Project, 2022.
  18. Shubha Manapati, Fuzzy hashing and applications to cybersecurity and digital forensics, Master’s Project, 2022.
  19. Latha Saradha, Housing price prediction in New York City using machine learning, Master’s Project, 2019.
  20. Tasnim Holoubi, Constellation design and parallel implementation of the improved quadrature spatial modulation MIMO system, Master’s Thesis, Korea Tech, 2018-2020.
  21. Nishal Muchena, Single-RF to two-RF chains MIMO spatial modulation: systems, analysis and performance evaluation, Master’s Thesis, Korea Tech, 2018-2020.
  22. Sherif Murtala, Co-advised with Dr. Kang-Sun Choi, Ph.D., Korea Tech, 2018-2021.
  23. Ismail Holoubi, Social network analysis of refugees’ displacement, Master’s Thesis, Korea Tech, 2017-2019.
  24. Saetbyeul Lee, Improved spatial modulation techniques for MIMO systems, Master’s Thesis, Korea Tech, 2015-2017.

Undergraduate Students

  1. Hesam Sadeghian et al., Security analysis of cloud-hosted open DNS resolvers, 2023.
  2. Patrick Poinar, Adversarial attacks on deep convolutional neural networks-based malware classifiers, Honors Thesis, 2023.
  3. Vivek Sharma (high school student), Mit Patel, Azhar Habeeba, and Syed Misbah, Devise-edge interactions using IoT platforms and implementation,* **2022, co-advisor.
  4. Northeastern Illinois University Students: John Dueno, Andrew Hanigan, Joseph Bofani, Raihan Ahmed; Karlsruhe University of Education Students, Germany: Sabine Britner and Noah Huber, Cybersecurity awareness web platform, 2021, Link.
  5. Brian Prado, Kevin Baez, Deontae Allen, and Anne Ryan (graduate student), Python-based Simulated Cybersecurity Attacks using Virtualization, 2021, co-advised.
  6. Chrysi Papadaki and Beth Eicher, Applications of social network analysis to business, 2020-2021.
  7. Deontae Allen, Nicole Daffe, Andrew Hanigan, and Jerome Santos, IoT applications, 2020-2021.
  8. Vasyl Koval and Brian Prado, Creating networking and security labs using Python and virtual machines, 2020-2021.
  9. Muhtasem Zahra and Miguel Malonado-Villegas, Online music listening behavior, 2020-2021.
  10. Mohamed Jemmali, Cultural dynamism in the golden Islamic era: a social network analysis perspective, 2021.
  11. Eduardo Torres, Joshua Westgor, and Orlando Hernandez, Housing price prediction using machine learning techniques, 2020, co-advised.