Benjamin M. Ampel

Benjamin M. Ampel

Assistant Professor in Computer Information Systems

University of Arizona

Biography

Benjamin M. Ampel is a Assistant Professor in Computer Information Systems at Georgia State University. Ben received his Ph.D. from the University of Arizona (UArizona) under Dr. Hsinchen Chen. Ben also received a B.S. in MIS from UArizona in 2017, and an M.S. in MIS from UArizona in 2019. From 2018 – 2021, Ben served as a National Science Foundation (NSF) Scholarship-for-Service (SFS) Fellow.

Ben’s research focuses on data mining techniques for creating proactive Cyber Threat Intelligence (CTI). Ben has published several journal and conference papers on these topics in leading venues such as MIS Quarterly, Journal of Management Information Systems (JMIS), International Conference on Information Systems (ICIS), AI for Cybersecurity topics at ACM KDD, and IEEE ISI. Ben has received recognition for his work, including the Best Paper Award at IEEE ISI 2020 and IEEE ISI 2023.

Interests
  • Artificial Intelligence
  • Cybersecurity
  • Text Mining
Education

  • PhD Student in Management Information Systems, 2024

    University of Arizona

  • M.S. in Management Information Systems, 2019

    University of Arizona

  • B.S. in Management Information Systems, 2017

    University of Arizona

Research Interests

Academic Behavioral Benchmarking Blockchain Computational Design Science Cyber Threat Intelligence Cybersecurity Deep Learning Demo Exploit Labeling GitHub Graph Embedding Hacker Forums Phishing Replication Risk Management Frameworks Source Themes Transformers / LLMs Vulnerability Scanning 开源

Journal Publications

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, 48:1, 137-166.

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Benjamin M. Ampel, Sagar Samtani, Hongyi Zhu, Hsinchun Chen (2024). Improving Threat Mitigation Through a Cybersecurity Risk Management Framework: A Computational Design Science Approach. Journal of Management Information Systems, 41:1, 236-265.

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Benjamin M. Ampel, Steven Ullman (2023). Why Following Friends Can Hurt You: A Replication Study. Transactions on Replication Research, 9(1).

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Yang Gao, Benjamin M. Ampel, Sagar Samtani (2023). Evading Anti-Phishing Models: A Field Note Documenting an Experience in the Machine Learning Security Evasion Competition 2022. Digital Threats: Research and Practice, 5:1, Article 7.

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Refereed Conference Proceedings

Carolin Marx, Benjamin M. Ampel, Ben Lazarine (2021). The Role of AI Agents for De-Escalating Commitment in Digital Innovation Projects. In ICIS 2021.

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Benjamin M. Ampel, Hsinchun Chen (2021). Distilling Contextual Embeddings Into A Static Word Embedding For Improving Hacker Forum Analytics. In IEEE ISI.

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Kaeli Otto, Benjamin M. Ampel, Sagar Samtani, Hongyi Zhu, Hsinchun Chen (2021). Exploring the Evolution of Exploit-Sharing Hackers: An Unsupervised Graph Embedding Approach. In IEEE ISI.

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Tala Vahedi, Benjamin M. Ampel, Sagar Samtani, Hsinchun Chen (2021). Identifying and Categorizing Malicious Content on Paste Sites: A Neural Topic Modeling Approach. In IEEE ISI.

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Ben Lazarine, Sagar Samtani, Mark Patton, Hongyi Zhu, Steven Ullman, Benjamin M. Ampel, Hsinchun Chen (2020). Identifying Vulnerable GitHub Repositories and Users in Scientific Cyberinfrastructure: An Unsupervised Graph Embedding Approach . In IEEE ISI.

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