CAFE Lab
Cognitive-Security, Accountability, Fairness, and Explainability
The CAFE Lab
- Extracts actionable intelligence from complex real-world data in cybersecurity and beyond.
- Ensures security, accountability, fairness, and explainability in AI-driven decisions.
- Safeguards both human and AI-driven decision-making processes against manipulation, bias, and adversarial compromise.
- Creates hands-on learning opportunities for students.
- Drives innovation through collaboration with academic, industry, and government partners.
Research Focus
Cybersecurity
- Interpretable AI-Based Security Systems – Fast, robust, and interpretable AI-based defenses against zero-day and emerging threats.
- Cognitive & Security Threat Mitigation – AI tools to counter both cognitive and cybersecurity threats across diverse scenarios—from low-information social engineering to data-rich malware forensics.
Social Good
- Applying data, science, humanities, and AI to address humanitarian and environmental challenges worldwide.
Health Informatics
- Leveraging social networks, medical data, and AI to improve diagnostics, treatment, and patient outcomes.
News
- Inauguration of CAFE lab, Fall 2025
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Members
- Sheikh Rabiul Islam, Assistant Professor, UAlbany
- Nazia Tabassum Natasha, PhD Student, UAlbany
- Stephen Gravereaux, Undergraduate, UAlbany
- Sean Reyes, Undergraduate, UAlbany
- Megha Das, Undergraduate, UAlbany
- Anooshah Minhas, Undergraduate, UAlbany
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ETEC 312, University at Albany, 1220 Washington Ave, Albany, NY 12203
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Collaboration
- We are happy to collaborate to make AI-based systems secure, fair, and explainable—while addressing real-world challenges.
- We are eager to collaborate with—though not limited to—cyber-physical system operators (electric grids, gas, and water utilities), government agencies (NSF, DoD, DARPA, IARPA), advocacy groups for neurodiverse and underserved communities, and high-stakes industries such as cybersecurity (intrusion detection, forensics), healthcare (AI diagnostics, decision support), and finance (fraud detection, risk management).
- We welcome motivated undergraduate and graduate students to contribute to our lab’s impactful research. If interested, please contact us by email.
Contact Information
ETEC 312, University at Albany, 1220 Washington Ave, Albany, NY 12203
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