Ajim Uddin

Ajim Uddin is an Assistant Professor at the MT School of Management, New Jersey Institute of Technology (NJIT). His research focuses on FinTech, machine learning applications in finance, and financial network analysis. He holds a PhD in Business Data Science from NJIT (2022), an MBA and BBA in Finance & Banking from Shahjalal University of Science & Technology (SUST), and an MS in Economics & Finance from Southern Illinois University Edwardsville.

• Education Highlights:
  • Ph.D., Business Data Science, NJIT (2022)
  • M.S., Economics & Finance, SIUE (2017)
  • M.B.A. & B.B.A., Finance & Banking, SUST (2016/2013)

Dr. Uddin's research explores dynamic graph learning frameworks for asset pricing, signed networks in equity models, and institutional investor behavior. His work bridges financial theory with advanced computational methods, addressing topics like mutual fund performance prediction, NPL forecasting, and social media influence on stock markets. His methodologies often integrate graph neural networks, tensor completion algorithms, and attention mechanisms.

His publications span journals like Quantitative Finance and Finance Research Letters. Recent trends show a focus on applying machine learning to traditional finance problems, with emphasis on network-based models and algorithmic solutions to market dynamics.

• Awards & Recognition:
  • Best Contribution to Theory Award (2023, NEDSI Conference)
  • Overall Best Conference Paper Award (2023, NEDSI Conference)

While no formal advising relationships or grants are listed, his research actively engages with industry-relevant problems such as institutional investor decision-making and financial crisis prediction. His professional website at web.njit.edu/~au76 provides further research details.