Zekarias Tilahun

" ... what do you have that you did not receive? ... "

" ... ያልተቀበልኸው የራስህ የሆነ ነገር ምን አለ? ... "

Zekarias

Zekarias Tilahun

Postdoc in Machine Learning

KTH Royal Institute of Technology

Zekarias Tilahun Kefato

I am a postdoc in Machine Learning. Before, I did my PhD in Computer Science with a Machine Learning specialization under the supervision of Prof. Montresor. Generally, I'm interested in Machine Learning, Graph Analytics, and Natural Language Processing, and pay particular attention to Graph-based Machine Learning. Currently, I'm working on Graph Embedding (aka - Graph Representation Learning - GRL), a continuation from my PhD, and cover topics such as, Graph Neural Networks (GNNs), Contextualized GRL, and self-supervised GNNs.

Professional Activities

  1. Reviewer: Neurocomputing

  2. PC Member: The Seventh IEEE International Conference on Social Networks Analysis, Management and Security SNAMS'20

  3. PC Member: The Sixth International Conference on Machine Learning, Optimization, and Data Science, LOD'20

  4. Reviewer: Elsevier Pattern Recognition Journal

  5. Reviewer: IEEE Transactions on Knowledge and Data Engineering

  6. Reviewer: Computing Journal

  7. PC Member: The Sixth IEEE International Conference on Social Networks Analysis, Management and Security SNAMS'19

  8. PC Member: The Fifth International Conference on Machine Learning, Optimization, and Data Science, LOD'19

  9. PC Member: The Fourth International Conference on Machine Learning, Optimization, and Data Science, LOD'18

Skills

  1. Machine learning and cluster computing Frameworks
    • Tensorflow, PyTorch, Keras, Apache Spark, Hadoop, Pandas, Numpy, and more
  2. Programming Languages
    • Python, Java, JavaScript, C++, Scala, R
  3. Data Visualization
    • Plotly - in JavaScript, Python, R
    • ggplot - in R
    • Dash, seaborn, matplotlib - in Python

Fore more details, checkout my CV