Self-interacting processes model phenomena observed in physics, economics, population genetics and ethology, but are also interesting on their own for their mathematical relevance. They are generally governed by a simple local rule, which creates a global structure as a result of its repeated iteration.
For instance, self-interacting random walks can be self-repelling or self-attracting, in other words more likely to stay away from or to come back to the places already visited before. In general, those self-interacting processes are not Markov processes, and therefore in some sense ''learn'' from the memory of their past behavior, as a consequence of the interaction feature. Their global dynamics arises from a network of intertwining local dynamics which interact in a subtle manner, so that the classical tools of dynamical systems or random walks in random environment are generally not sufficient on their own for their study.
NYU Shanghai STEM seminar series is a weekly seminar series on every Wednesday, starting from 12th October 2016.
Please see below tentative schedule of STEM seminar series in 2017 Spring Semester.
- Feb. 8: NO SEMINAR
- Feb. 15: Li Li, Associate Professor of Neural Science and Psychology
- Feb. 22: Xiao-Jing Wang, Global Professor of Neural Science
- Mar. 1: Hanghui Chen, Assistant Professor of Physics
- Mar. 8: Vladas Sidoravicius, Professor of Mathematics
- Mar. 15: Keith Ross, Professor of Engineering and Computer Science
- Mar. 22: Olivier Marin, Associate Professor of Computer Science
- Mar. 29: Xinying Cai, Assistant Professor of Neural and Cognitive Sciences
- Apr. 5: Spring Recess, NO SEMINAR
- Apr. 12: Jungseog Kong, Assistant Professor of Biology
- Apr. 19: Gang Fang, Assistant Professor of Biology
- Apr. 26: Pierre Michael Tarres, Visiting Professor of Mathematics
- May 3: Jeff Erlich, Assistant Professor of Neural and Cognitive Sciences
- May 10: Laurent Mertz, Visiting Assistant Professor of Mathematics
- May 17: NO SEMINAR