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Cem Goekmen

Cem Gokmen is a PhD candidate in Computer Science at Stanford University, specializing in Embodied AI and Robotics. He conducts research at the Stanford Vision & Learning Lab under the supervision of Prof. Fei-Fei Li. His work focuses on developing machine learning algorithms that enable robots to perform complex, long-horizon tasks in real-world environments. This includes techniques such as reinforcement learning, learning from demonstrations, and sim-to-real transfer. He has also contributed significantly to creating simulation environments and benchmarks like BEHAVIOR-1K for robotics research.123

Education

  • Stanford University: PhD in Computer Science (2022–Present), MSc in Computer Science (2020–2022, GPA: 4.03).
  • Georgia Institute of Technology: BSc in Computer Science with an Undergraduate Research Certification (2016–2018, GPA: 3.83).23

Professional Experience

  • Research Scientist Intern at NVIDIA Research: Worked on leveraging LLMs for robotics tasks (2023).
  • AI Resident at Google X / Everyday Robots: Developed methods for failure prediction in robot policies (2022).
  • Software Engineer II at Google: Contributed to YouTube Premium's backend and frontend development (2019–2020).23

Achievements and Skills

  • Co-first author of the BEHAVIOR-1K benchmark, nominated for Best Paper at CoRL 2022.
  • Proficient in Python, C++, TensorFlow, PyTorch, and robotics frameworks like Omniverse Isaac Sim.
  • Fluent in English and Turkish, with advanced French and beginner Spanish proficiency.123

Highlights

Oct 11 · cemgokmen.com
Cem Gokmen: About Me
Cem Gokmen: About Me
Oct 10 · cemgokmen.com
[PDF] Cem Gokmen
Cem Gokmen - Stanford Profiles

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Cem Goekmen
Cem Goekmen, photo 1
Cem Goekmen, photo 2
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