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@Computational-Intelligence-Fall18 @iust-projects @nik-research

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Nikronic/README.md

Hi there πŸ‘‹

I am Nikan Doosti
'Nikan' means genuine and good and it's Persian originated name, and 'Doosti' literally means friendship!

About

I am a master's graduate of Computer Engineering (Artificial Intelligence) from Iran University of Science and Technology (IUST) one of the most prestigious universities in Iran.
In my work, I utilize Artificial Intelligence to provide data-driven decision making for different services. Previously, I did a research internship at Max Planck Institute for Informatics at AIDAM group in Germany πŸ‡©πŸ‡ͺ, working on applications of machine learning in fabrication. Prior to that, I was mainly focused on classic computer vision, specifically digital image processing.

  • 🧐 I'm interested in machine learning, deep learning, physical simulation, and I always love to work on interdisciplinary topics such as intersection of AI and Science/Engineering.
  • πŸ‘― I'm looking to collaborate on PyTorch framework. Meet me on official PyTorch forum: PyTorch Discuss
  • πŸ’“ I'd love to play games, particularly video games. I mostly play Dota 2 and CnC Generals ZH. I am noob in execution (slow body, eyes, FPS, and refresh rate :D), but I plan well!
  • πŸ’¬ Ask me about anything, but I don't know how much I don't know. However, I know a bit about AI and Computer Graphics/Vision.
  • πŸ“« How to reach me: My email nikan [dot] doosti [at] outlook [dot] com (more details on the bottom of home page of my website)
  • ⭐ Giving stars is a small gesture, but it means a lot! So give stars to cool projects.

I follow Github timeline almost everyday (Works as a social media for me :D).


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  1. ndr ndr Public

    Official (a bit hard-to-read) implementation of "Topology Optimization via Frequency Tuning of Neural Design Representations" at SCF21.

    C++ 2

  2. Optimized-MDVRP Optimized-MDVRP Public

    "Using Genetic Algorithms for Multi-depot Vehicle Routing" paper implementation.

    Python 45 8

  3. rasht-school-of-ai/Meetup-Materials rasht-school-of-ai/Meetup-Materials Public

    You can find the content of each meet up here.

    Jupyter Notebook 8 1

  4. Deep-Halftoning Deep-Halftoning Public

    "Deep Context-Aware Descreening and Rescreening of Halftone Images" paper implementation.

    Python 5 1

  5. Computational-Intelligence-Fall18/Computational-Intelligence-Tutorials Computational-Intelligence-Fall18/Computational-Intelligence-Tutorials Public

    This is the repository of codes written in class.

    Jupyter Notebook 43 16