Prince Appiah
PhD Candidate in Information and Systems Engineering
Concordia Institute for Information Systems Engineering (CIISE)- Concordia University
I am a PhD Candidate at the Concordia Institute for Information Systems Engineering (CIISE), Concordia University, where I lead the QChainX lab. My research lies at the intersection of Machine Learning/AI, Cybersecurity, Quantum Supply Chain Security, and Blockchain—with a focus on building systems that are transparent, accountable, and secure. Prior to joining Concordia, I received my M.Sc. in Information Security from ITMO University, Saint Petersburg, in 2023, and a B.Sc. in Information Technology from UEW-K in 2015.
Research Interests
Machine Learning & AI
Developing interpretable and fair machine learning/AI models for high-stakes decision-making in supply chain, education, and healthcare.
Quantum Supply Chain Security/Cybersecurity
Early protecting global supply chain against emerging threats posed by Post-Quantum Cryptography and future quantum computing capabilities.
Blockchain & Metaverse Systems
Enabling secure data sharing, smart contracts, and tamper-proof record keeping in systems like supply chain and financial problems and also through immersive virtual environment.
Current Projects
Blockchain-based Supply Chain Transparency, Traceability, and Trust (B-3T)
ActiveBlockchain application to enhance supply chain transparency, traceability and trust for SMEs in Montreal.
Robust AI Models for Credit Card Transaction Anomaly Detection
ActiveDetecting anomalies in credit card transactions using robust AI models. To automatically identify and flag potentially fraudulent transactions, improving security for financial institutions and customers.
Technological Vunerabilities in Canadian Supply Chains
StudyingIdentifying vunerabilities,cybersecurity threats and outdated infrastructure to address gaps in understanding the interplay between cyber risks and legacy systems .