Dr. Maryam Zamani
Dr. Maryam Zamani is a physicist and data scientist. She completed her PhD in condensed matter physics with the grade summa cum laude at Shahid Beheshti University, Tehran, Iran in 2014.
During her PhD, she developed an analytical model to calculate surface statistics using light scattering and tested the model with an experimental setup at the University of Texas, Austin, USA. After her PhD, she switched into the research field of complex networks and started to work as a postdoctoral researcher at the Hungarian Academy of Science and at Eötvös Lorand University in Budapest, where she worked on optimization the performance and dynamics of complex networks.
In 2019, she joined the Nonlinear Dynamics and Time Series Analysis group at the Max Planck Institute for the Physics of Complex Systems in Dresden, Germany as a researcher. She took part in various projects such as time series analysis of financial markets, studying knowledge growth in different fields of science using citation networks of scientific publications and modelling the evolution and transformation of scientific knowledge in the early modern period. The latter was in a joint collaboration with the Max Planck Institute for the History of Science in Berlin, where she is working since the beginning of 2022. Currently she is studying and modelling the evolution and transformation of scientific knowledge in the early modern period by investigating the interaction networks of more than 350 different textbooks in Sphaera corpus.
- Complex networks
- Time series analysis
- Stochastic process