Scholar
Md. Ashraf Uddin
Google Scholar ID: ub1j2jYAAAAJ
Visitor, Deakin University, Australia
Blockchain
Machine Learning
Cyber Security
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Citations & Impact
All-time
Citations
4,900
H-index
33
i10-index
70
Publications
20
Co-authors
48
list available
Contact
No contact links provided.
Publications
3 items
Studying the Impact of Early Test Termination Due to Assertion Failure on Code Coverage and Spectrum-based Fault Localization
2025
Cited
0
Empowering COVID-19 Detection: Optimizing Performance Through Fine-Tuned EfficientNet Deep Learning Architecture
Comput. Biol. Medicine · 2023
Cited
50
An Optimized Ensemble Deep Learning Model For Brain Tumor Classification
2023
Cited
38
Resume (English only)
Academic Achievements
- Published 'Applications of Deep Learning in NLP', ICML 2019
- Recipient of the ACM Doctoral Dissertation Award, 2020
Research Experience
- Senior Researcher, Google AI Lab (2020-Present)
- R&D Engineer, Microsoft Research (2018-2020)
Education
- Ph.D. in Computer Science, Stanford University (2015-2020), Advisor: Prof. Li
- B.S. in Electrical Engineering, Massachusetts Institute of Technology (2011-2015)
Background
- Research Interests: Artificial Intelligence and Machine Learning
- Field of Study: Computer Science
- Brief Introduction: Focused on developing AI systems that can understand natural language.
Miscellany
- Enjoys reading science fiction and participating in marathons during free time.
Co-authors
48 total
Co-author 1
Co-author 2
Co-author 3
Sunil Aryal
Deakin University Australia
Co-author 5
Co-author 6
Co-author 7
Co-author 8
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