1. B. Ampel, “A Computational Design Framework for Targeted Disruption of Hacker Communities,” Forthcoming at Information Systems Frontiers (ISF).

2. B. Ampel, S. Samtani, H. Chen, “Automatically Detecting Voice Phishing: A Large Audio Model Approach,” Forthcoming at Management Information Systems Quarterly (MISQ).

3. B. Ampel, “Seeing Is Not Believing: A Deepfake Video Call Scam at Pan-Asia Trading,” Journal of Information Systems Education (JISE), 37:2, 2026.

4. 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), 16:1, 1-27, 2025.

5. 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.

6. 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.

7. 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.

8. B. Ampel and S. Ullman, “Why Following Friends Can Hurt You: A Replication Study,” AIS Transactions on Replication Research (TRR), 9:1, Article 6, 2023.

1. C. Dacosta, B. Ampel, M. Hashim, H. Chen, “Automatic Extraction of Protected Health Information from Multilingual Hacker Communities,” HICSS, Maui, Hawaii, January 2026.

2. C. Zhang, B. Ampel, S. Samtani, “A Domain-Adaptive Soft Prompting Framework for Multi-Type Bias Detection in News,” HICSS, Maui, Hawaii, January 2026.

3. Y. Gao, B. Ampel, and S. Samtani, “Examining the Robustness of Machine Learning-based Phishing Website Detection,” IEEE Security and Privacy Workshops (SPW), San Francisco, CA, May 2025.

4. S. Ullman, B. Ampel, S. Samtani, S. Yang, and H. Chen, “The 4th Workshop on Artificial Intelligence-enabled Cybersecurity Analytics,” ACM KDD, Barcelona, Spain, August 2024.

5. B. Ampel, T. Vahedi, S. Samtani, and H. Chen, “Mapping Exploit Code on Paste Sites to the MITRE ATT&CK Framework,” IEEE ISI, North Carolina, October 2023. 🏆 Best Paper Award

6. B. Ampel, K. Otto, S. Samtani, H. Zhu, and H. Chen, “Disrupting Ransomware Actors on the Bitcoin Blockchain: A Graph Embedding Approach,” IEEE ISI, North Carolina, October 2023.

7. B. Ampel, Y. Gao, J. Hu, S. Samtani, and H. Chen, “Benchmarking the Robustness of Phishing Email Detection Systems,” AMCIS, Panama, August 2023.

8. B. Ampel, “The Effect of Consensus Algorithm on Ethereum Price and Volume,” AMCIS, Panama, August 2023.

9. C. Marx, B. Ampel, B. Lazarine, “The Influence of AI Agent Recommendations on Escalation of Commitment,” ICIS, Austin, Texas, December 2021.

10. T. Vahedi, B. Ampel, S. Samtani, and H. Chen, “Identifying and Categorizing Malicious Content on Paste Sites,” IEEE ISI, San Antonio, Texas, November 2021.

11. K. Otto, B. Ampel, S. Samtani, H. Zhu, and H. Chen, “Exploring the Evolution of Exploit-Sharing Hackers,” IEEE ISI, San Antonio, Texas, November 2021.

12. B. Ampel and H. Chen, “Distilling Contextual Embeddings Into A Static Word Embedding for Improving Hacker Forum Analytics,” IEEE ISI, San Antonio, Texas, November 2021.

13. B. Ampel, S. Samtani, H. Zhu, S. Ullman, and H. Chen, “Labeling Hacker Exploits for Proactive Cyber Threat Intelligence,” IEEE ISI, Washington, D.C., November 2020. 🏆 Best Paper Award

14. S. Ullman, S. Samtani, B. Lazarine, H. Zhu, B. Ampel, M. Patton, and H. Chen, “Smart Vulnerability Assessment for Scientific Cyberinfrastructure,” IEEE ISI, Washington, D.C., November 2020.

15. B. Lazarine, S. Samtani, M. Patton, H. Zhu, S. Ullman, B. Ampel, and H. Chen, “Identifying Vulnerable GitHub Repositories and Users in Scientific Cyberinfrastructure,” IEEE ISI, Washington, D.C., November 2020.

16. B. Ampel, M. Patton and H. Chen, “Performance Modeling of Hyperledger Sawtooth Blockchain,” IEEE ISI, Shenzhen, China, July 2019.

1. R. Reyes, B. Ampel, H. Chen, “Large Language Models for Infrastructure as Code Vulnerability Remediation,” WISP, Nashville, Tennessee, December 2025.

2. M. Wagner, B. Ampel, M. Hashim, H. Chen, “Email Phishing Prevention: An Explainable Nudging Approach,” WISP, Nashville, Tennessee, December 2025.

3. B. Ampel, S. Ullman, “Multi-Agent Systems for Information Systems Research: A Framework for Collaborative AI-Augmented Inquiry,” Pre-ICIS SIG Services Workshop, Nashville, Tennessee, December 2025.

4. B. Ampel, S. Ullman, “Multi-Agent Systems for Information Systems Research: Provocations for AI-Augmented Scholarship,” ICIS TREO Talk, Nashville, Tennessee, December 2025.

5. Y. Gao, S. Samtani, H. Zhu, B. Ampel, and Y. Chai, “Generating Adversarial Phishing Websites to Evade Machine Learning-based Anti-Phishing Detectors,” INFORMS WDS, Phoenix, Arizona, October 2023.

6. B. Ampel, S. Samtani, S. Ullman, and H. Chen, “Linking Common Vulnerabilities and Exposures to the MITRE ATT&CK Framework,” ACM KDD AI4Cyber Workshop, Virtual, August 2021.

1. B. Ampel, Y. Gao, and S. Samtani, “LLM-Enabled Phishing Generation and Defense,” Artificial Intelligence in Cybersecurity: Unlocking the Power of Large Language Models, CRC Press, 2026.

Notable: Co-developed CIS 4730: Deep Learning for Business (2025); Proposed and developed CIS 8684: Cyber Threat Intelligence (2024)

1. Vulnerability Remediation Across International Open-Source AI: A Large Language Model-Graph Learning Approach
   AI in Cybersecurity Machine Learning / Deep Learning Data Analytics at HICSS-59, Hawaii (January 2026)

2. Foundation Models for Cybersecurity Applications
   AI-Enabled Cybersecurity Workshop at HICSS-58, Hawaii (January 2025)

3. How Has Generative AI Affected Education, Research, And Practice?
   MIS 50th Academic Conference, University of Arizona (March 2024)

4. Large Language Models for Advanced Text Analytics
   AI in Cybersecurity Workshop at HICSS-57, Hawaii (January 2024)

5. LLM Overview & Advanced Text Analytics
   Fall 2023 AI Bootcamp (October 2023)

6. Deep Learning for The Detection of Vishing Calls
   International Conference on Secure Knowledge Management (September 2023)

7. Analytics and Visualizations/UI in AI for Cybersecurity
   AI in Cybersecurity Workshop at HICSS-56, Hawaii (January 2023)

• Robinson College of Business IS Cybersecurity Graduate Program Top Professor (2025)
• ACM SIGMIS Doctoral Dissertation Award (2024)
• Best Paper Award, IEEE Intelligence and Security Informatics (2023)
• Doctoral Consortium, International Conference on Information Systems (2023)
• Doctoral Consortium, Americas Conference on Information Systems (2023)
• Paul S. and Shirley Goodman Scholarship (2023)
• Samtani-Garcia MIS PhD Commitment Scholarship (2022)
• James F. LaSalle Teaching Excellence Award (2022)
• Best Paper Award, IEEE Intelligence and Security Informatics (2020)
• Nunamaker-Chen MIS Doctoral Scholarship (2020)
• NSF CyberCorps: Scholarship for Service Fellow (2018-2021)
• UArizona MIS Undergraduate Outstanding Senior (2017)

• Associate Editor, ACM Digital Threats: Research and Practice (DTRAP), 2025-Present
• Editorial Board, Journal of Information Systems Education (JISE), 2025-Present
• Associate Editor, ICIS Track on Digital Innovation and Entrepreneurship, 2025

• Co-Chair, ECIS Ancillary Meetings (2025)
• Co-Chair, HICSS Junior Faculty Consortium (2025-2027)
• Co-Chair, AI4Cyber Workshop at KDD (2024)

INFORMS WDS, SWAIB, IEEE ISI, WITS, ACM CCS AISec Workshop, ICDM Data Mining for Cybersecurity, AI4Cyber-KDD

EJIS, ISJ, MISQ, IJIM, JMIS, IPM, Computers & Security, DTRAP, TRR, TDSC, TMIS

• Academic Mentor, Collaborative Human-AI Center (CHAI), Georgia State University, 2025-Present
• Academic Mentor, Assistive Intelligence Lab, Georgia State University, 2025-Present
• Academic Mentor, Data Science & AI Lab (DSAIL), Indiana University, 2024-Present
• Academic Mentor, Artificial Intelligence Lab, University of Arizona, 2020-Present

• “Benjamin Ampel Receives ACM SIGMIS Doctoral Dissertation Award” — Georgia State University (January 28, 2025)
• “More Older Americans Being Scammed; Is Technology a Factor?” — The National Desk (November 19, 2024)