Benjamin M. Ampel ☕️
Benjamin M. Ampel

Assistant Professor of Computer Information Systems

Georgia State University

About Me

Dr. Benjamin M. Ampel’s research sits at the nexus of artificial intelligence and cybersecurity, with particular emphasis on large-scale text analytics for cyber-threat intelligence. Grounded in the computational design-science paradigm, his work develops and evaluates deep learning and Large Language Model (LLM) artefacts that mine adversary assets (hacker-forum posts, phishing content, and blockchain transactions) to improve cybersecurity. His research has appeared in leading outlets such as MIS Quarterly, Journal of Management Information Systems, and ACM Transactions on Management Information Systems. Dr. Ampel’s research has accrued 400+ citations, and two of his conference papers have received Best Paper Awards at IEEE ISI (2020, 2023).

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Interests
  • Artificial Intelligence
  • Cybersecurity
  • Computational Design Science
Education

  • PhD in Management Information Systems

    University of Arizona

📚 My Research
My research focuses on Artificial Intelligence for Cybersecurity, with particular interests in cyber threat intelligence, hacker community analytics, phishing detection, and text mining methods. I leverage advanced machine learning (including large language models) to address security challenges in information systems. I’m always open to chatting and collaborating!
Recent Publications
Yang Gao, Benjamin Ampel, Sagar Samtani (2025). Examining the Robustness of Machine Learning-based Phishing Website Detection: Action-Masked Reinforcement Learning for Automated Red Teaming. 2025 IEEE Security and Privacy Workshops (SPW).
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Benjamin M Ampel, Chi-Heng Yang, James Hu, Hsinchun Chen (2025). Large Language Models for Conducting Advanced Text Analytics Information Systems Research. ACM Transactions on Management Information Systems.
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Benjamin M Ampel, Sagar Samtani, Hongyi Zhu, Hsinchun Chen (2024). Creating Proactive Cyber Threat Intelligence with Hacker Exploit Labels: A Deep Transfer Learning Approach. MIS Quarterly.
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Yang Gao, Benjamin M Ampel, Sagar Samtani (2024). Evading Anti-Phishing Models: A Field Note Documenting an Experience in the Machine Learning Security Evasion Competition 2022. Digital Threats: Research and Practice (DTRAP).
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Benjamin M Ampel, Sagar Samtani, Hongyi Zhu, Hsinchun Chen, Jay F Nunamaker Jr (2024). Improving Threat Mitigation Through a Cybersecurity Risk Management Framework: A Computational Design Science Approach. Journal of Management Information Systems.
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Teaching
CIS 8684 – Cyber Threat Intelligence – Developed and taught a graduate course on cyber threat intelligence (TE eval: 4.91/5).
CIS 4680 – Intro to Security – Undergraduate course in information security.
CIS 8080 – IS Security and Privacy – Graduate course in information security.
Awards & Honors
  • ACM SIGMIS Doctoral Dissertation Award, 2024 (for the top IS dissertation of the year).
  • Best Paper Award, IEEE International Conference on Intelligence and Security Informatics (ISI) 2020 and 2023.
  • NSF Scholarship-for-Service Fellowship, 2018–2021 (full scholarship and stipend for cybersecurity study).