Mohammad Kazemi Beydokhti

Mr. Mohammad Kazemi Beydokhti

Research Fellow (Level A)
See full profile

Details

About

As a highly motivated PhD candidate at RMIT University, I bring extensive research and professional experience in Machine Learning, NLP, and cutting-edge LLMs capabilities within Geospatial Domain. My research endeavours include collaborations with leading institutions like Utrecht University, focusing on qualitative spatial reasoning, NLP, and geospatial question-answering systems. Professionally, I have been contributed to significant projects such as Dynamic Vicmap as project developer (received the 'Innovation Award' from GCA), and the RMIT AWS Cloud Supercomputing Hub, showcasing my expertise in cloud computing. 

Media

Teaching interests

  • Tutor, RMIT University, July’21- Aug’24
  1. Advanced Imaging Technology (GEOM2112)
  2. Geospatial Programming Course with Python (GEOM2157)
  3. Applied Geospatial Techniques (GEOM2450)

Research interests

  • Spatial Data Science
  • Qualitative Spatial Reasoning
  • Geospatial Question Answering Systems (GeoQA)
  • Knowledge Graph and Representation 
  • Large Language Models (LLMs)
  • Cloud Computing 

Initiatives and links

aboriginal flag
torres strait flag

Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.

More information