Hojjat Aghakhani
Researcher at VMware
Goleta, California, United States
Summary
👤
Senior🎓
Top SchoolHojjat Aghakhani is a researcher at VMware Research who develops machine learning solutions to address security challenges and hardens them against adversarial threats. With a Ph.D. in Computer Science from UC Santa Barbara and over a decade of industry and research experience, he blends rigorous academic methods with practical security engineering. His work sits at the intersection of ML and computer security, focusing on designing robust models that withstand real-world attack scenarios. Based in Goleta, CA, he brings a global technical foundation from Sharif University of Technology and deep expertise in threat-aware ML. Colleagues describe him as methodical and curiosity-driven, often surfacing subtle failure modes before they become incidents. He pairs theoretical insight with hands-on experimentation to move defensive research toward deployable outcomes.
11 years of coding experience
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of California, Santa BarbaraBachelor of Applied Science (BASc), Computer Software Engineering, 17.65, Bachelor of Applied Science (BASc), Computer Software Engineering, 17.65 at Sharif University of Technology
Persian, English
Github Skills (13)
classifiers10
malware8
static-analysis6
machine-learning6
codex6
loops3
synthesis3
pytorch2
codegen2
benchmark2
openai1
tpu1
llm1
Programming languages (1)
Github contributions (5)
9yte/VenoMave
Oct 2020 - Dec 2022
Contributions:13 commits, 5 pushes, 1 branch in 2 years 2 months
ucsb-seclab/packware
Feb 2020 - Jan 2022
Effects of packers on machine-learning-based malware classifiers that use only static analysis
Contributions:21 commits, 1 PR, 18 pushes in 1 year 11 months
machine-learningpackersmalwarestatic-analysisclassifiers
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