Akm Islam

Akm Islam is a University Lecturer in the Department of Data Science at New Jersey Institute of Technology (NJIT). He holds a B.S. in Information Technology from NJIT (2020). His research focuses on privacy-preserving data analytics, algorithmic transparency, and urban data systems. Key projects include developing visual analytic tools for assessing privacy risks in open datasets (PRIVEE) and interpreting black-box ranking algorithms (TRIVEA).

His work bridges computer science and societal applications, addressing challenges in data ethics, security, and urban sustainability. While no formal awards or grants are listed, his publications reflect innovative contributions to data science methodologies. He advises no listed students but contributes to NJIT's educational mission through coursework in data science fundamentals and ethical AI practices.