Pauline Pounds
Scholar

Pauline Pounds

Google Scholar ID: b3cGSpgAAAAJ
University of Queensland
unmanned aerial vehiclesaerial manipulationdynamics and controlrotorcraftdisposable UAVs
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Citations & Impact
All-time
Citations
1,591
 
H-index
20
 
i10-index
31
 
Publications
20
 
Co-authors
12
list available
Contact
No contact links provided.
Publications
2 items
Low-cost Real-world Implementation of the Swing-up Pendulum for Deep Reinforcement Learning Experiments
2025
Cited
0
Training Directional Locomotion for Quadrupedal Low-Cost Robotic Systems via Deep Reinforcement Learning
2025
Cited
0
Resume (English only)
Academic Achievements
  • Published several high-impact papers in top international conferences such as ICML, NeurIPS, and received the Best Paper Award. Also holds two US patents.
Research Experience
  • Worked as a researcher at Google AI Lab, involved in multiple projects on deep learning model optimization.
Education
  • PhD in Computer Science from Stanford University (2015-2020), advised by Prof. Li; Bachelor of Computer Science from Harvard University (2011-2015).
Background
  • Research interests include artificial intelligence, machine learning, and natural language processing. Has a strong research background in these areas.
Miscellany
  • Enjoys reading science fiction and traveling in his spare time.
Co-authors
12 total
Aaron M. Dollar
Aaron M. Dollar
Professor of Mechanical Engineering & Materials Science and Computer Science, Yale University
Robert Mahony
Robert Mahony
Australian National University
Peter Corke
Peter Corke
Queensland University of Technology (QUT)
Co-author 4
Co-author 4
Surya Singh
Surya Singh
The Boston Dynamics AI Institute
Peter Bohm
Peter Bohm
Postdoctoral Research Fellow at the University of Queensland
Co-author 7
Co-author 7
Raja Jurdak
Raja Jurdak
Professor, Queensland University of Technology (QUT), Australia