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Niloofar Yousefi is a Postdoctoral Research Associate with the emphasize on Computer Science, Machine Learning and Agent-based Modeling at UCF’s Complex Adaptive Systems (CAS) laboratory in the collage of Engineering and Computer Science. She got her Ph.D in Industrial Engineering/Operation Research and her doctoral dissertation was focused on Multi-Task Learning (MTL), a machine learning framework training multiple related tasks simultaneously to overcome the data scarcity limitation of conventional Independent Task Learning models with the aim of achieving better generalization performance over all tasks. Niloofar received a Bachelor of Science in Applied Math and a Master of Science in Operation Research.
- Aug 2012-Aug 2017: Ph.D. in Industrial Engineering/Operation Research Emphasis: Computer Science, Machine Learning, Pattern Recognition. University of Central Florida (UCF), Orlando, Florida, U.S.A. Dissertation on “Improved Multi-Task Learning Based on Local Rademacher Complexity Analysis.”
- Sep 2008-Apr 2011: Master of Science in Operation Research. University of Tehran (UT), Tehran, Iran. Master’s Thesis on “A Framework for Credit Risk Assessment Based on Basel II Capital Accord Using Data Mining Techniques: Case of an Iranian Bank.”
- Sep 2003-Sep 2007 Bachelor of Science in Applied Mathematics. Iran University of Science & Technology (IUST), Tehran, Iran. Undergraduate Thesis on “Numerical Solution of a Non-homogeneous Stochastic Differential Equations with Stochastic Processes.”