Papers
9
Total Citations
170
H-Index
6
About
E. S. Saunders is a pioneering figure in robotic telescope networks and time-domain astronomy, whose career has centered on transforming how astronomers access and coordinate observational resources across the globe. Best known for contributions to the RoboNet-II project — a multi-telescope network enabling automated follow-up of gravitational microlensing events in the Galactic Bulge, which has garnered over 100 citations — Saunders has consistently pushed the boundaries of observatory automation and intelligent scheduling. As a key contributor to the Las Cumbres Observatory Global Telescope (LCOGT) network, Saunders helped develop novel scheduling algorithms and science operations frameworks for a worldwide array of robotic telescopes, enabling observing modes previously impossible with conventional facilities. Early work on the eSTAR project demonstrated visionary use of intelligent software agents for autonomous telescope coordination, while foundational research on optimal observation placement for period searches provided practical tools widely applicable across variable-star and transient science. More recently, Saunders has tackled the data-rich challenges of the LSST era, developing general-purpose software to manage large-scale observing programs. Across a career spanning over a decade, this body of work has meaningfully shaped the infrastructure underpinning modern time-domain astrophysics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Novel scheduling approaches in the era of multi-telescope networks19 citations · 2014
- 3Science operations for LCOGT - a global telescope network13 citations · 2014
- 4The eSTAR network – agent architectures for astronomy12 citations · 2006
- 5Optimal placement of a limited number of observations for periodsearches11 citations · 2006
- 6An autonomous adaptive scheduling agent for period searching6 citations · 2008
- 7A protocol standard for heterogeneous telescope networks4 citations · 2006
- 8
- 9What do telescopes, databases and compute clusters have in common?2 citations · 2006