Wolfram Computation Meets Knowledge

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Aaron Naiman

Aaron Naiman

During his PhD research, Aaron Naiman used Mathematica extensively for solving difficult symbolic summations and graphically displaying their numerical approximations. More recently, he has embarked on using the capabilities of Manipulate to generate dynamic and interactive lecture courseware.

Naiman has taught mathematics and computer science at the college level since 1995, including courses in basic and advanced numerical mathematics and C++ programming.


Jerusalem College of Technology, Israel


BA in Mathematics, Yeshiva University
MSc in Applied Physics, Columbia University
PhD in Applied Mathematics, University of Maryland


English, Hebrew


Numerical analysis, parallel computing, data mining, machine learning, innovative technology solutions for courseware