Scholar
Gang Hua
Google Scholar ID: 7SgUlggAAAAJ
Director of Applied Science, AI, Amazon.com, Inc., IEEE & IAPR Fellow
Citations & Impact
Citations
17,341
H-index
59
i10-index
186
Publications
20
Co-authors
76
list available
Contact
Publications
Resume (English only)
Academic Achievements
- IEEE Fellow
- IAPR Fellow
- ACM Distinguished Scientist
- Recipient of the 2015 IAPR Young Biometrics Investigator Award
- Published over 160 peer-reviewed papers in top-tier conferences and journals
- Holds 19 US patents with 15 more pending
- Recent papers accepted by top venues including NeurIPS, ICCV, ICML, CVPR, AAAI, ECCV, TPAMI, IJCV, and ACM Multimedia
Research Experience
- Currently Director of Applied Science at Amazon Alexa AI
- Vice President of Multimodal Experiences Research Lab at Dolby Laboratories (2024–2025)
- CTO of Convenience Bee and Managing Director & Chief Scientist of Wormpex AI Research in the US (2018–2024)
- Held various roles at Microsoft (2015–2018): Science/Technical Adviser to CVP of Computer Vision Group, Director of Computer Vision Science Team in Redmond and Taipei ATL, Senior Principal Researcher/Research Manager at Microsoft Research
- Associate Professor at Stevens Institute of Technology (2011–2015)
- Worked on the Amazon-Go project during leave (2014–2015)
- Visiting Researcher at IBM T.J. Watson Research Center (2011–2014)
- Research Staff Member at IBM T.J. Watson Research Center (2010–2011)
- Senior Researcher at Nokia Research Center Hollywood (2009–2010)
- Senior Scientist at Microsoft Live Labs Research (2006–2009)
Background
- Research interests include computer vision and pattern recognition
- Artificial intelligence and robotics
- Machine learning, data mining, and connected multimedia
- Human-machine collaborative systems
- Focused on building more personalized, proactive, autonomous, and multimodal conversational agents (e.g., Alexa)
