Stephen Wiggins
Stephen Ray Wiggins is an American applied mathematician, born in Oklahoma City, Oklahoma and best known for his contributions in nonlinear dynamics, chaos theory and nonlinear phenomena, influenced heavily by his PhD advisor Philip Holmes, whom he studied under at Cornell University. He is actively working on the advancement of computational applied mathematics at the University of Bristol, where he was the head of the Mathematics Department until 2008. Previously he was a professor at Caltech in Pasadena, California.[2]
Stephen R. Wiggins | |
---|---|
Born | Oklahoma City, Oklahoma |
Residence | Bristol, England |
Alma mater | Cornell, Caltech |
Known for | Fluid dynamics, nonlinear dynamics and chaos in classical mechanics and mechanics applied to atomic systems |
Scientific career | |
Fields | Physics, Chemistry, Applied Mathematics |
Institutions | University of Bristol |
Doctoral advisor | Philip Holmes |
Doctoral students | Tasso J. Kaper, Igor Mezić [1] |
Field of study
Stephen Wiggins contributed in many different areas of mathematical physics from classical dynamical systems point of view.
Nonlinear dynamics and chaos
His book Applied nonlinear dynamical systems and Chaos cited more than 3000 times.[3]
Transport theory and fluid dynamics
His recent works on chaotic mixing attract considerable interest, with the leading expert in the area, Julio Ottino.[4]
References
- On the geometrical and statistical properties of dynamical systems : Theory and applications (phd). California Institute of Technology. 1994.
- Devaney, Robert L. (April 1989). "Review: Stephen Wiggins, Global bifurcation and chaos: analytical methods". Bulletin (New Series) of the American Mathematical Society. 20 (2): 256–259. doi:10.1090/S0273-0979-1989-15788-1. Retrieved 2008-10-22.
- "Google Scholar".
- Ottino, Julio M.; Wiggins, Stephen (2004). "Introduction: Mixing in microfluidics". Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences. 362 (1818): 923–935. doi:10.1098/rsta.2003.1355. PMID 15306477.
External links