Z. Morley Mao
Ph.D. University of California, Berkeley 2003
Facts
9 properties- Instance of
- human
- Occupation
- computer scientist
- Educated at
- University of California, Berkeley[2]
- Award received
- ACM Fellow[4]
- Official website
- www.eecs.umich.edu[9]
- Doctoral advisor
- Randy Katz[3]
🏷️ Also known as
en Zhuoqing Mao
en Zhuoqing Morley Mao
en Z. Morley Mao
es Z. Morley
zh 茅斫青
🔖 Identifiers · 9
- ORCID iD
- 0000-0002-9844-2055
- OpenAlex ID
- A5003217329, A5025128403as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- ACM Digital Library author ID
- 81451592947
- DBLP author ID
- 91/584
- Google Knowledge Graph ID
- /g/11lg_9d74y
- Google Scholar author ID
- Ba_Ci9UAAAAJ
- IEEE Xplore author ID
- 37287023000, 37086379804
- MR Author ID
- 888007
- Mathematics Genealogy Project ID
- 87312
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 11
Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions,
Anomaly Detection Against GPS Spoofing Attacks on Connected and Autonomous Vehicles Using Learning From Demonstration,
Impact Evaluation of Falsified Data Attacks on Connected Vehicle Based Traffic Signal Control Systems,
On the Cybersecurity of Traffic Signal Control System With Connected Vehicles,
QoE Inference and Improvement Without End-Host Control,
QoE Inference Without Application Control,
Robust Real-time Multi-vehicle Collaboration on Asynchronous Sensors,
Toward an Automated Learning Control Architecture for Cyber-Physical Manufacturing Systems
+3 more
← Authored by 11
Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions,
Anomaly Detection Against GPS Spoofing Attacks on Connected and Autonomous Vehicles Using Learning From Demonstration,
Impact Evaluation of Falsified Data Attacks on Connected Vehicle Based Traffic Signal Control Systems,
On the Cybersecurity of Traffic Signal Control System With Connected Vehicles,
QoE Inference and Improvement Without End-Host Control,
QoE Inference Without Application Control,
Robust Real-time Multi-vehicle Collaboration on Asynchronous Sensors,
Toward an Automated Learning Control Architecture for Cyber-Physical Manufacturing Systems
+3 more
Affiliated with 4
Award received 1
Doctoral advisor 1
Doctoral advisors 1
Educated at 1
Instance of 1
Member of 1
Occupation 1
Sex or gender 1
Press Enter · cited answer in seconds
0 sources
Summary
Z. Morley Mao worked as a computer scientist[1].
FAQs
What did Z. Morley Mao do for work?
Z. Morley Mao worked as computer scientist[1].
Where did Z. Morley Mao go to school?
Z. Morley Mao was educated at University of California, Berkeley[2].
What awards did Z. Morley Mao receive?
Honors received include ACM Fellow[4].