Publications
Tackling suspect wealth: towards an accountable and transparent future?
The purpose of this paper is to provide an empirical comparative analysis on cross-border suspect wealth issues and international efforts to curb corruption-related suspect wealth. Through the lens of the United Nations Convention Against Corruption (UNCAC) and the Stolen Asset Recovery Initiative (StAR) Initiative, this paper illustrates the strength and limitations of current anti-corruption frames and as a result, sheds lights on the dilemmas of tackling suspect wealth on the ground
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The purpose of this paper is to provide an empirical analysis on aid-related misconduct and sectoral regulatory failures. Via a series of Oxfam revelations, this paper aims to highlight potential civil and administrative remedies to rectify wrongdoings and increase accountability in aid organizations.
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Holding aid-related misconduct accountable: civil and administrative remedies
Biometric Information Privacy With On-Device Machine Learning
Biometrics are a type of personally identifiable information (PII) that correspond to an individual’s biological characteristics, such as a face, fingerprint, iris, or voice. The collection of biometric information by businesses and other entities has significantly increased in recent years with the adoption of biometrics in mainstream consumer technology. Secure authentication systems use biometrics such as faceprints, fingerprints, and voice recognition to provide more protection to users compared to traditional authentication methods. Wearable devices in the health and wellness industry collect a broader variety of biometric information such as heart rate, blood oxygen (SpO2) levels, and stress levels to assist users in monitoring and improving their physical and mental health.