Benjamin M. Ampel
Assistant Professor Department of Computer Information Systems- Education
- Ph.D., University of Arizona
- M.S., University of Arizona
- B.S., University of Arizona
- Specializations
- artificial intelligence
- cybersecurity
- computational design science
- Biography
Dr. Benjamin M. Ampel is an Assistant Professor of Computer Information Systems. Dr. Ampel holds a Ph.D., an M.S., and a B.S. from the University of Arizona. His research focuses on AI-enabled cybersecurity analytics. He has published research related to AI-enabled cybersecurity in journals such as MIS Quarterly, Journal of Management Information Systems, ACM Transactions on Management Information Systems, and ACM Digital Threats: Research and Practice and in the proceedings of conferences such as IEEE ISI, AMCIS, and ICIS. He has also contributed to various projects supported by the NSF Scholarship-for-Service (SFS), Secure and Trustworthy Cyberspace (SaTC), and Cybersecurity Innovation for Cyberinfrastructure (CICI) programs.
- Publications
- B. Ampel, C. Yang, J. Hu, H. Chen, “Large Language Models for Conducting Advanced Text Analytics Information Systems Research,” ACM Transactions on Management Information Systems (TMIS), Forthcoming.
- B. Ampel, S. Samtani, H. Zhu, and H. Chen, “Creating Proactive Cyber Threat Intelligence with Hacker Exploit Labels: A Deep Transfer Learning Approach,” Management Information Systems Quarterly (MISQ), 48:1, 137-166, 2024.
- B. Ampel, S. Samtani, H. Zhu, H. Chen, and J. F. Nunamaker, “Improving Threat Mitigation Through a Cybersecurity Risk Management Framework: A Computational Design Science Approach,” Journal of Management Information Systems (JMIS), 41:1, 236-265, 2024.
- Y. Gao, B. Ampel, S. Samtani, “Evading Anti-Phishing Models: A Field Note Documenting an Experience in the Machine Learning Security Evasion Competition 2022,” ACM Digital Threats: Research and Practice (DTRAP), 5:1, Article 7, 2024.
- B. Ampel, T. Vahedi, S. Samtani, and H. Chen, “Mapping Exploit Code on Paste Sites to the MITRE ATT&CK Framework: A Multi-label Transformer Approach,” Proceedings of 2023 IEEE International Conference on Intelligence and Security Informatics (ISI), North Carolina, October 2023 (Recipient of Best Paper Award).