Syed Muhammad Ishraque Osman

Syed Muhammad Ishraque Osman is an Associate Professor of Data Analytics at Long Island University, affiliated with the School of Computer Science, Innovation & Management Engineering. He teaches both undergraduate and graduate courses in data analytics and economics, contributing to interdisciplinary academic programs at LIU.

Education:

• B.S., University of Dhaka
• M.S., University of Dhaka
• M.S., Barcelona Graduate School of Economics
• Ph.D., Texas Tech University

Dr. Osman's research lies at the intersection of data science and economics, focusing on machine learning, causal inference, forecasting, and business data science. His work also extends into labor economics, international economics and finance, and the socio-political impacts of immigration and crime. He applies quantitative and econometric methods to analyze real-world social and economic phenomena.

His publication record, while limited in number in the provided text, demonstrates a strong engagement with pressing global issues—particularly the societal effects of refugee migration and the rise of far-right political rhetoric. This reflects a broader trend in his scholarship: using rigorous data-analytic tools to understand complex socioeconomic dynamics and policy outcomes.

Scientific Awards:

• La Caixa Scholarship for Foreign Students at Barcelona GSE (2011)
• Texas Tech Leadership Award (2014)

Dr. Osman has mentored students through academic and professional development, particularly within the Association of Bangladeshi Scholars and Students during his time at Texas Tech. Though specific grant funding is not mentioned, his research and leadership suggest active involvement in academic and community initiatives. His prior experience as an Economist at Amazon further underscores his applied expertise in data-driven decision-making.

He is associated with academic units promoting innovation and data science, indicating potential collaboration with research groups or labs focused on computational modeling, economic forecasting, and policy analytics, although specific lab or team affiliations are not detailed in the text.