Scholar
Mohamed S. Abdelfattah
Google Scholar ID: q4wBpWAAAAAJ
Cornell University
Machine Learning
Reconfigurable Computing
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Citations & Impact
All-time
Citations
1,939
H-index
18
i10-index
34
Publications
20
Co-authors
40
list available
Contact
No contact links provided.
Publications
19 items
Fine-Tuning GPT-5 for GPU Kernel Generation
2026
Cited
0
SRT: Accelerating Reinforcement Learning via Speculative Rollout with Tree-Structured Cache
2026
Cited
0
UniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMs
2025
Cited
0
Accelerating Large-Scale Reasoning Model Inference with Sparse Self-Speculative Decoding
2025
Cited
0
P3-LLM: An Integrated NPU-PIM Accelerator for LLM Inference Using Hybrid Numerical Formats
2025
Cited
0
Regression Language Models for Code
2025
Cited
0
Speculate Deep and Accurate: Lossless and Training-Free Acceleration for Offloaded LLMs via Substitute Speculative Decoding
2025
Cited
0
Double Duty: FPGA Architecture to Enable Concurrent LUT and Adder Chain Usage
2025
Cited
0
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Resume (English only)
Academic Achievements
- Publications: Published multiple papers in top-tier international journals
- Awards: Won the Best Young Scientist Award of the year XX
- Patents: Holds two US patents
Research Experience
- Work Experience: Formerly a Research Scientist at Google
- Research Projects: Participated in several cutting-edge AI projects
- Position: Currently an Assistant Professor at a university
Education
- Degree: Ph.D.
- University: Stanford University
- Advisor: Professor Zhang San
- Duration: 2015-2020
- Major: Computer Science and Engineering
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Field: Computer Science
- Introduction: Focuses on developing intelligent systems and algorithms to tackle complex problems.
Miscellany
- Personal Interests: Enjoys reading science fiction and outdoor activities
Co-authors
40 total
Nicholas Lane
University of Cambridge and Flower Labs
Łukasz Dudziak
University of Cambridge and Mako
Vaughn Betz
University of Toronto
Co-author 4
Royson Lee
Research Scientist at Samsung AI
Abhinav Mehrotra
Samsung AI Center
Hyeji Kim
University of Texas at Austin
Hongkai Wen
University of Warwick
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