Mamoun Alazab
computer scientist
Facts
11 properties- Instance of
- human
- Occupation
- computer scientist
- Employer
- Charles Darwin University[4]
- Field of work
- artificial intelligence, computer security[2][3]
- Educated at
- Federation University Australia[5]
- Official website
- sites.google.com[10]
- Website
- sites.google.com
- Doctoral advisor
- Sitalakshmi Venkatraman, Paul A Watters[6][7]
- yale lux id
- person/202e978e-7361-47ec-b3f7-9405daf92a73
🏷️ Also known as
en Mamoun Alazab
en Mamoun Atef Alazab
🔖 Identifiers · 11
- ORCID iD
- 0000-0002-1928-3704
- OpenAlex ID
- A5018409592as 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
- DBLP author ID
- 16/7566
- Google Knowledge Graph ID
- /g/11hcx8y3wc
- LinkedIn personal profile ID
- mamounalazab
- Loop ID
- 797778
- Mathematics Genealogy Project ID
- 159717
- ResearcherID
- AAG-6684-2021
- Scopus author ID
- 36661792200
- The Conversation author ID
- 1321012
- Yale LUX ID
- person/202e978e-7361-47ec-b3f7-9405daf92a73
📚 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 121
$\mathsf{TCG}\text{-}\mathsf{IDS}$ : Robust Network Intrusion Detection via Temporal Contrastive Graph Learning,
Adaptive asynchronous federated learning,
A deep learning architecture for power management in smart cities,
Adversarial Defense: DGA-Based Botnets and DNS Homographs Detection Through Integrated Deep Learning,
Adversarial ELF Malware Detection Method Using Model Interpretation,
Adversarial malware sample generation method based on the prototype of deep learning detector,
A Face Emotion Recognition Method Using Convolutional Neural Network and Image Edge Computing,
A hybrid deep learning image-based analysis for effective malware detection
+113 more
← Authored by 121
$\mathsf{TCG}\text{-}\mathsf{IDS}$ : Robust Network Intrusion Detection via Temporal Contrastive Graph Learning,
Adaptive asynchronous federated learning,
A deep learning architecture for power management in smart cities,
Adversarial Defense: DGA-Based Botnets and DNS Homographs Detection Through Integrated Deep Learning,
Adversarial ELF Malware Detection Method Using Model Interpretation,
Adversarial malware sample generation method based on the prototype of deep learning detector,
A Face Emotion Recognition Method Using Convolutional Neural Network and Image Edge Computing,
A hybrid deep learning image-based analysis for effective malware detection
+113 more
Affiliated with 11
Field of work 3
Educated at 1
Employer 1
Instance of 1
Occupation 1
Sex or gender 1
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Summary
Mamoun Alazab worked as a computer scientist[1].
Body
Education
Doctoral advisors include Sitalakshmi Venkatraman[6], a computer scientist[11] and Paul A Watters[7], a researcher[12], awarded the Medal of the Order of Australia[13].
Career and Affiliations
Fields of work include artificial intelligence[2], a type of technology[14] and computer security[3], an industry[15].
FAQs
What did Mamoun Alazab do for work?
Mamoun Alazab worked as computer scientist[1].
Where did Mamoun Alazab go to school?
Mamoun Alazab was educated at Federation University Australia[5].