XinzhaoÌýChu

  • Professor
  • COOPERATIVE INSTITUTE FOR RESEARCH IN ENVIRONMENTAL SCIENCES (CIRES)
Address

Office Location: CIRES 241

Focus Area

Remote Sensing, Earth, & Space Sciences

Education

Ph.D., Physics and Electrical Engineering, Peking University, Beijing, 1996
B.S., Physics and Electrical Engineering, Peking University, Beijing, 1991

Professional Experience

2013 - Present, Professor, Aerospace Engineering Sciences, University of Colorado Boulder
2007 - 2013, Associate Professor, Aerospace Engineering Sciences, University of Colorado Boulder
2005 - 2007, Assistant Professor, Aerospace Engineering Sciences, University of Colorado Boulder
2005 - Present, Fellow, Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder
2005, ÍÃ×ÓÏÈÉú´«Ã½ÎÄ»¯×÷Æ·ing Scientist, Arecibo Observatory, National Astronomy and Ionosphere Center
1997 - 2005, Research Scientist, Electrical & Computer Engineering, University of Illinois
1996 - 1997, ÍÃ×ÓÏÈÉú´«Ã½ÎÄ»¯×÷Æ·ing Scientist, Physics, Johannes Gutenberg University of Mainz, Germany

Awards (selected)

CEDAR Prize Lecture Award (2019)
Provost's Faculty Achievement Award (2013)
Major Research Instrumentation (MRI) Award, National Science Foundation (NSF) (2007)
Faculty Early Career Development (CAREER) Award, National Science Foundation (2007)
Director, Consortium Technology Center for NSF Lidar Consortium of Resonance and Rayleigh Lidars (2006-Present)
Antarctica Service Medal of the United States of America, National Science Foundation (NSF) (2001)
NSF recognition of the completion of a successful season at Amundsen-Scott South Pole Station, Antarctica (2000,2001)
NASA recognition of valuable contribution to the success of the 1998 Leonid Meteor Encounter Multi-Instrument Airborne Science Mission(1998)

Research Interests

Lidar remote sensing instrumentation and applications on various platforms; Atmospheric and space sciences; Atomic, molecular, and laser physics and spectroscopy; Photonics, optoelectronics, and quantum electronics; Atmospheric remote sensing using lidar, radar, and satellite techniques.
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