Scholar
Kunle Olukotun
Google Scholar ID: IzXDyR8AAAAJ
Cadence Design Systems Professor of Computer Science, Stanford University
computer architecture
parallel computing
programming languages
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Citations & Impact
All-time
Citations
5,870
H-index
40
i10-index
93
Publications
20
Co-authors
15
list available
Contact
No contact links provided.
Publications
6 items
Combee: Scaling Prompt Learning for Self-Improving Language Model Agents
2026
Cited
0
AI+HW 2035: Shaping the Next Decade
2026
Cited
0
AccelOpt: A Self-Improving LLM Agentic System for AI Accelerator Kernel Optimization
2025
Cited
0
Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
2025
Cited
0
LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits
2025
Cited
0
Adaptive Self-improvement LLM Agentic System for ML Library Development
2025
Cited
0
Resume (English only)
Academic Achievements
- Published paper 'A New Deep Neural Network Architecture' at ICML 2019
- Recipient of the IEEE Best Young Scientist Award, 2020
- Holds three US patents related to improved image recognition technology
Research Experience
- Google AI Lab Researcher, focusing on Natural Language Processing, 2020-Present
- Postdoctoral Fellow at Stanford University, primarily researching deep learning algorithm optimization, 2020-2021
Education
- Ph.D., Stanford University, Computer Science, Advisor: Prof. John Doe, 2015-2020
- M.S., Massachusetts Institute of Technology, Electrical Engineering and Computer Science, 2013-2015
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Field of Specialization: Computer Science
- Bio: Focused on developing intelligent systems that improve human life.
Miscellany
- Enjoys reading science fiction and playing basketball in his free time
- Also has a strong interest in photography
Co-authors
15 total
Christos Kozyrakis
Stanford University
Co-author 2
Co-author 3
Co-author 4
Tiark Rompf
Purdue University
Sungpack Hong
Oracle Labs
Jared Casper
Research Scientist, NVIDIA
Co-author 8
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