Past Visiting Scholars

Visitor Period of stay Research interests
David Blair
Australian International Gravitational Research Centre,University of Western Australia
14 Jul 2017 methods of detecting gravitational waves
Wei Zhu (祝伟)
The Ohio State University
10 Jul 2017 to 19 Jul 2017 gravitational microlensing, planet detection and characterization, planet-star correlation
Lloyd Knox
UC Davis
10 Jul 2017 cosmology
Zheng Zheng (郑政 )
University of Utah
8 Jul 2017 to 13 Jul 2017 cosmology, large-scale structure, galaxy formation and evolution, and Lyman-alpha radiative transfer. I also have broad interests in other fields of astrophysics.
Doug Johnstone
National Research Council Canada
4 Jul 2017 to 10 Jul 2017 millimetre-wave astronomy (single dish/interferometry), star formation, molecular clouds, pre-stellar cores, proto-stars, circumstellar disks.
Huanian Zhang
Steward Observatory, University of Arizona
30 Jun 2017 galaxy formation and evolution, specifically on the circumgalactic media of nearby galaxies and the Milky Way Galaxy, searching the globular clusters in the local group and searching the ultra diffuse galaxies (UDG)
Banibrata Mukhopadhyay
Indian Institute of Science
28 Jun 2017 to 1 Jul 2017 Theoretical Astrophysics of black holes, white dwarfs and neutron stars, Astrophysical fluids, Particle Astrophysics, Cosmology and Gravity
R. N. (Dick) Manchester
CSIRO Astronomy and Space Science, Australian Academy of Science
23 Jun 2017 Precision timing of pulsars and its applications, Origin and evolution of pulsars, Pulsar beaming, polarization and the pulse emission mechanism, Effects of circumstellar and interstellar propagation, especially Faraday rotation and the Galactic magnetic field, Structure and evolution of supernova remnants, especially SNR 1987A
Xilong Fan
22 Jun 2017 gravitational wave astronomy, gravitational wave data analysis, galaxy properties by galactic chemical and SED models
Rohan Potham Naidu
Yale-NUS College
19 Jun 2017 to 14 Aug 2017 Cosmic Reionization, High-Redshift Extragalactic Astronomy, Machine Learning Applications in Astronomy, Supernova Cosmology