My research sits at the intersection of artificial intelligence and cybersecurity, focusing on developing cutting-edge solutions for cyber threat intelligence and adversary modeling. I leverage advanced machine learning techniques, including large language models, to analyze and defend against evolving cyber threats.

Core Research Areas:

🎯 Cyber Threat Intelligence

• Large-scale text analytics of hacker forums and dark web content
• Automated threat detection and classification systems
• Real-time cyber threat assessment and response
• MITRE ATT&CK framework mapping and analysis

🤖 AI/ML for Security

• Deep learning applications in cybersecurity
• Large language models for security text analysis
• Adversarial machine learning and defense mechanisms
• Phishing detection and generation systems

📊 Computational Design Science

• Novel methodologies for security research
• Design and evaluation of security artifacts
• Empirical validation of security solutions
• Blockchain security and analysis

Research Impact:

• 400+ citations with h-index of 9
• 2 Best Paper Awards at IEEE ISI (2020, 2023)
• 6 Journal Publications in MIS Quarterly, JMIS, and ACM TMIS
• 16 Conference Proceedings
• Active collaboration with industry and government partners

Just Published: Our latest work on voice phishing detection using large audio models has been accepted to MIS Quarterly.

Read the Paper →

I’m passionate about preparing students for careers in cybersecurity and information systems. My teaching philosophy emphasizes hands-on learning, real-world applications, and cutting-edge research integration.

Current Courses:

• CIS 8684 – Cyber Threat Intelligence (Graduate)

  • Course evaluation: 4.91/5.0 (Spring 2025)
  • Covers threat modeling, intelligence analysis, and AI applications

• CIS 4680 – Introduction to Information Security (Undergraduate)

  • Course evaluation: 4.75/5.0 (Spring 2025)
  • Foundational security concepts and practical applications

• CIS 8080 – IS Security and Privacy (Graduate)

  • Course evaluation: 4.9/5.0 (Fall 2024)
  • Advanced topics in information security and privacy management

Teaching Recognition:

• Robinson College of Business’ Cybersecurity Graduate Program Top Professor (2025)
• James F. LaSalle Teaching Excellence Award (2022)
• Consistently high teaching evaluations across all courses

Teaching Philosophy: I believe in bridging theory and practice, incorporating real-world case studies and current research findings into the classroom experience.

Major Awards:

• Robinson College of Business’ Cybersecurity Graduate Program Top Professor (2025)

  • Recognized as the top professor in the cybersecurity graduate program

• ACM SIGMIS Doctoral Dissertation Award (2024)

  • Recognized as the top Information Systems dissertation of the year
  • Awarded at the International Conference on Information Systems (ICIS)

• Best Paper Awards (IEEE ISI 2020 & 2023)

  • IEEE International Conference on Intelligence and Security Informatics
  • Recognition for innovative research contributions

• James F. LaSalle Teaching Excellence Award (2022)

  • Recognition for outstanding teaching performance

• NSF CyberCorps Scholarship-for-Service Fellowship (2018-2021)

  • Full scholarship and stipend for cybersecurity education
  • Competitive national program supporting cybersecurity workforce development

Additional Recognition:

• Doctoral Consortium invitations at ICIS and AMCIS (2023)
• Paul S. and Shirley Goodman Scholarship (2023)
• Samtani-Garcia MIS PhD Commitment Scholarship (2022)
• Nunamaker-Chen MIS Doctoral Scholarship (2020)
• UArizona MIS Undergraduate Outstanding Senior (2017)

I’m always excited to discuss research opportunities, potential collaborations, and academic partnerships. Whether you’re a student interested in cybersecurity research, a fellow academic looking to collaborate, or an industry professional seeking expertise, I’d love to hear from you.

Contact Information:

• Email: bampel@gsu.edu
• Website: bampel.com
• LinkedIn: Connect on LinkedIn
• Google Scholar: View Publications
• Office: Georgia State University, Robinson College of Business
  • Department of Computer Information Systems
  • J. Mack Robinson School of Business
  • 55 Park Place NW, Atlanta, GA 30303

Research Collaboration: I’m particularly interested in collaborations involving:

• AI/ML applications in cybersecurity
• Large-scale text analytics for security
• Cyber threat intelligence and adversary modeling
• Phishing detection and generation systems
• Blockchain security and analysis
• Large language models for security applications