Michael Zabarankin

Michael Zabarankin is a Professor and Department Chair in the Department of Mathematical Sciences at the Charles V. Schaefer, Jr. School of Engineering and Science, Stevens Institute of Technology. His research bridges applied mathematics, optimization, and real-world applications in finance, engineering, and environmental systems.

His research interests include optimization under uncertainty, risk analysis, inverse optimization, machine learning, threat detection, network optimization, and fluid dynamics. He has made significant contributions to the theory of deviation and risk measures, particularly in portfolio optimization, and has developed mathematical models for electrohydrodynamic drop deformation and shape optimization in viscous flows.

The recent trend in his publications shows a strong focus on risk modeling in finance (e.g., deviation measures, drawdowns, entropy), machine learning under adversarial conditions, and mathematical modeling of multiphase fluid systems. His work often combines theoretical rigor with practical applications in security, environmental science, and financial engineering.

Scientific Awards and Recognitions:

• No specific awards mentioned in the provided text.

Advising and Grants: While specific students and grants are not listed, Dr. Zabarankin has extensive collaborative research, particularly with Bogdan Grechuk, Stan Uryasev, and Alexander Molyboha, suggesting active mentorship and grant-funded projects in optimization and applied mathematics.

Labs and Research Teams: Although no formal lab name is provided, his work in optimization, risk analysis, and fluid dynamics suggests leadership in research groups focused on mathematical modeling, decision science, and computational mechanics within the Department of Mathematical Sciences.