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Merge pull request #50 from GGLAB-KU/content/add-eurohpc-benchmark-access-July2025
Add Euro-HPC Award News
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_members/phd_gurkan.md

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layout: about
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group: PhD
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group_rank: 2
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team_frontpage: true
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group: Former visitors, BSc/ MSc students, Interns
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group_rank: 5
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title: Gürkan Soykan
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description: Profile of Gürkan Soykan, Doctoral Researcher at the GGLab.
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lastname: Soykan
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publications: "author^=*Soykan"
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I am a first-year Ph.D. researcher at GGLab interested in dialogue systems.
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I'm a researcher at the GGLab, and interested in dialogue systems.
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profile:
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name: Gürkan Soykan

_members/phd_safa.md

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Currently, I am a Ph.D. student at [Koç University](https://www.ku.edu.tr/en/) Computer Science and Engineering Department. I got my master's degree from the Computer Science department at [Birzeit University](https://www.birzeit.edu/en), where I worked with [Prof.Adnan Yahya](https://www.birzeit.edu/en/faculty-staff/adnan-yahya) on Knowledge Extraction and Semantic Similarity. Before that, I had a bachelor's degree in electrical engineering from [Birzeit University](https://www.birzeit.edu/en) as well. I have 12 years of experience in the semi-conductor software industry. My main research interest is grounded task-oriented dialogues.
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I am a Ph.D. student at the [Computer Science and Engineering Department](https://cs.ku.edu.tr) of [Koç University](https://www.ku.edu.tr/en/), working at the GGLab. I received my M.Sc. in Computer Science from [Birzeit University](https://www.birzeit.edu/en), where I collaborated with [Prof. Adnan Yahya](https://www.birzeit.edu/en/faculty-staff/adnan-yahya) on knowledge extraction and semantic similarity. I also hold a B.Sc. in Electrical Engineering from the same university.
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Before starting my Ph.D., I spent 12 years working in the semiconductor software industry. My current research focuses on grounded task-oriented dialogue systems.

_news/2025-07-05-euro-hpc.md

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layout: post
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date: 2025-07-05
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Our lab awarded EuroHPC access on Leonardo BOOSTER
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***
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We are pleased to share that our proposal has been awarded **3,500 node hours** on the **Leonardo BOOSTER supercomputer** through the **EuroHPC Benchmark Access Call**. This allocation will support our ongoing benchmarking efforts in high-performance computing and scalable AI research.

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