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

Bio

Zekarias is a postdoc in Decentralized Machine Learning. Before, he did his PhD in Computer Science with a Machine Learning specialization and he had the previledge to work under the supervision of Prof. Montresor. He is generally interested in Machine Learning, Natural Language Processing, and Social Network Analysis. His PhD research was mainly on Graph Embedding (aka - Graph Representation Learning) and Information Diffusion Analysis. More concretely, he has explored how we can use data from information diffusion events and node attributes in order to learn high-quality embedding of nodes. This is particularly useful in cases where the network under consideration is noisy. For example when it has missing information, such as social links between nodes.

Professional Activities

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

  2. Reviewer: Elsevier Pattern Recognition Journal

  3. Reviewer: IEEE Transactions on Knowledge and Data Engineering

  4. Reviewer: Computing Journal

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

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

  7. 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