Manuel Egele
researcher, Boston University
Facts
7 properties- Instance of
- human
- Occupation
- computer scientist
- Employer
- Boston University[2]
- Educated at
- TU Wien
- Doctoral advisor
- Christopher Kruegel, Engin Kirda[3][4]
- Family name
- Wikidata item
🏷️ Also known as
en Manuel Egele
🔖 Identifiers · 8
- ORCID iD
- 0000-0001-5038-2682
- OpenAlex ID
- A5044975798as 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
- 81350601392
- DBLP author ID
- 27/3108
- Google Scholar author ID
- DRvJPxcAAAAJ
- IEEE Xplore author ID
- 38076000500
- ResearchGate contributions ID
- 26644461
- Scopus author ID
- 14049729900
📚 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 10
A Cautionary Tale About Detecting Malware Using Hardware Performance Counters and Machine Learning,
EmailProfiler: Spearphishing Filtering with Header and Stylometric Features of Emails,
Hardware Performance Counters Can Detect Malware,
Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning,
PayBreak,
ProcessorFuzz: Processor Fuzzing with Control and Status Registers Guidance,
Prodigy: Towards Unsupervised Anomaly Detection in Production HPC Systems,
Runtime Performance Anomaly Diagnosis in Production HPC Systems Using Active Learning
+2 more
← Authored by 10
A Cautionary Tale About Detecting Malware Using Hardware Performance Counters and Machine Learning,
EmailProfiler: Spearphishing Filtering with Header and Stylometric Features of Emails,
Hardware Performance Counters Can Detect Malware,
Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning,
PayBreak,
ProcessorFuzz: Processor Fuzzing with Control and Status Registers Guidance,
Prodigy: Towards Unsupervised Anomaly Detection in Production HPC Systems,
Runtime Performance Anomaly Diagnosis in Production HPC Systems Using Active Learning
+2 more
Doctoral advisor 2
Doctoral advisors 2
Affiliated with 1
Educated at 1
Employer 1
Instance of 1
Occupation 1
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Summary
Manuel Egele worked as a computer scientist[1].
Body
Education
Doctoral advisors include Christopher Kruegel[3], a computer scientist[6], b. 1976[7], awarded the ACM Fellow[8] and Engin Kirda[4], a computer scientist[9], of Turkey[10].
FAQs
What did Manuel Egele do for work?
Manuel Egele worked as computer scientist[1].