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emirceyani/README.md

Hi, I'm Emir Ceyani, an aspiring machine learning researcher and a PhD student from Los Angeles, CA 🇺🇸.

Twitter

I am a Ph.D. student interested in deep learning , machine learning theory, federated learning, and Bayesian neural networks under the leadership of Prof. Salman Avestimehr at University of Southern California(USC). I also am an active contributor to FedML library. During my M.Sc. at Bilkent University, I was a research engineer at Turkcell Technologies, Istanbul,🇹🇷.

My main expertise has revolved around :

  1. Federated learning
  2. Graph neural networks
  3. Bayesian deep learning
  4. Probabilistic deep generative models(VAE, NF,...) & variational inference methods
  5. Spatio-temporal forecasting with deep learning
  • 👨🏽‍💻 I’m currently working on my PhD on federated machine/deep learning ;
  • 🌱 I’m currently learning meta learning, Bayesian non-parametrics, neural architecture search, and personalisation algortihms;
  • 👯 I’m looking to collaborate on research ideas 🤝 and I am always looking for research internships;
  • 📫 How to reach me: ceyani@usc.edu;

Languages and Tools:

Emir's github stats



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  1. deepbayes-2019 deepbayes-2019 Public

    Forked from bayesgroup/deepbayes-2019

    Practical assignments of the Deep|Bayes summer school 2019

    Jupyter Notebook 1

  2. FedML-AI/FedML FedML-AI/FedML Public

    FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs o…

    Python 4k 763

  3. cv cv Public

    Forked from bamos/cv

    My YAML cv and resume, adopted from @bamos' own repository.

    TeX

  4. FedML-AI/FedGraphNN FedML-AI/FedGraphNN Public

    FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.

    183 43

  5. FedML-AI/SpreadGNN FedML-AI/SpreadGNN Public

    SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.

    Python 47 8

  6. Oxfordblue7/FedGrAINS Oxfordblue7/FedGrAINS Public

    Jupyter Notebook