• Fibigerstræde 11, 144

    9220 Aalborg Ø



Research activity per year

If you made any changes in Pure these will be visible here soon.

Personal profile

Research profile

Hamid Bekamiri is PostDoc in Applied Machine Learning at Aalborg University Business School (DK). He has a bachelor’s degree in Computer Engineering and a master’s degree in Information Technology Engineering, followed by a Ph.D. in Information Technology Management and throughout his Ph.D., Hamid worked on Applied Machine Learning and Digital Transformation. He continued his research on Deep NLP in Patent analysis and knowledge landscaping as Ph.D. visiting student at AAU. Hamid’s area of research interest is related to Applied Machine Learning and Deep Learning. The overall goal of his research is to extend Applied Machine Learning for solving real problems and research on how it can be used in social science research.


Design, build and deploy Machine Learning applications to solve real-world problems empirically. Experience with High volume of practical data for solving real problems in different fields with high-dimensional data.

  • 2+ years’ experience in working on Slurm and Singularity (AAU AI Cloud)
  • 2+ years’ experience in working on AWS
  • 7+ years’ experience in working on Data Analysis and Databases
  • 7+ years’ experience in Machine Learning, Data Mining, Pattern Recognition, Data Structures
  • 5+ years’ experience in teaching
  • 5+ years’ experience in working on Big Data analysis
  • Programming background in Python and R
  • Experience in SQL\ NoSQL Data Management (SQL Server, MongoDB, Neo4j)




The fingerprint consists of automatically generated concepts related to the associated persons. It is updated automatically, when new content is added.
  • 1 Similar Profiles


Dive into details by clicking on the dots.