Research Focus
Ethical & Trustworthy AI for Critical Environments
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I specialize in the design, evaluation, and application of AI systems that are fair, transparent, and accountable, especially in high-impact sectors like healthcare, cybersecurity, and finance.
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My work bridges academic research and real-world consulting, helping organizations and institutions:
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Apply ethical AI frameworks like Accountability, Responsibility, and Transparency (ART)​
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Identify and mitigate algorithmic bias​
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Ensure compliance with legal, regulatory, and social standards​
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Build human-centered AI systems that inspire trust
Whether advising on AI policy, collaborating on funded research, or auditing decision-making systems, I bring an evidence-based and values-driven approach to every project.
Dr. Vourganas
Designing and advising on ethical, explainable AI systems in healthcare, cybersecurity, and finance, where trust and accountability matter most
AI is transforming critical systems from defense to healthcare.
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I help organizations build ethical, transparent, and dependable AI solutions where trust is non-negotiable.
Research in Action
Real-World Applications of Ethical AI.
My work is grounded in real-world impact. I apply ethical principles and AI governance models to complex, high-stakes domains, ensuring that AI systems are not only powerful but also transparent, equitable, and aligned with human values.
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Here are examples of how I put responsible AI into practice:
Cybersecurity & Defense
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Ethical AI for Strategic Defense Systems
Responsible AI for autonomous threat detection, real-time decision support, and complex security operations in national and critical infrastructure contexts.
Healthcare
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Trustworthy AI for Clinical Environments
Ethical design for complex decision-making in patient care and digital health systems.
Finance & Risk
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Explainable AI for Regulated IndustriesSupporting the development of AI models that are interpretable, auditable, and compliant, from credit scoring to risk assessment, in line with evolving ethical and regulatory expectations.
Why These Domains Matter Together:​
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One thing is constant across defense, healthcare, and finance: the need for AI systems that people can trust. In these domains, poor decisions aren’t just inconvenient; they are consequential.
By working across these high-stakes sectors, I bring a unified focus on ethical design, algorithmic accountability, and real-world resilience by applying AI principles where they are needed most.
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All these projects reflect a single mission: to bridge technical innovation with ethical responsibility, ensuring that AI not only performs but serves the public good.
Ethical AI in Motion
From principles to prototypes: real-world applications of ethical AI
A real-time system for fairness audits, explainability, and compliance, designed to put trust back into intelligent decision-making.
Applications of Machine Learning in Cyber Security: A Review
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MDPI 2024
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This paper explores how AI is used in cybersecurity, and why poor data quality remains a key challenge. It reviews recent intrusion detection datasets, introduces ethical AI concerns in security, and outlines open research questions for the field.
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Responsible AI for Home-Based Rehab
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MDPI 2021
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​This project presents an AI-powered rehabilitation system that personalizes home care while following ethical design principles. It uses hybrid machine learning to predict patient needs with up to 100% accuracy, all without intrusive monitoring.
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