Majid Farhadloo
Scholar

Majid Farhadloo

Google Scholar ID: CZg7BIkAAAAJ
University of Minnesota
Data MiningMachine LearningSpatial Data MiningAI for ScienceExplainable AI
Citations & Impact
All-time
Citations
222
 
H-index
9
 
i10-index
7
 
Publications
19
 
Co-authors
13
list available
Contact
Resume (English only)
Academic Achievements
  • He has published multiple papers in conferences and journals such as ACM Transaction on Spatial Algorithms and Systems, SIAM International Conference on Data Mining (SDM'24), SIGKDD2022, and more. Additionally, he received a Best Paper Award.
Research Experience
  • During his Ph.D., he conducted research under the supervision of Prof. Shashi Shekhar, focusing on developing novel spatially lucid classification methods and applying them to the analysis of spatial omics data for designing data-driven hypotheses to create new immunotherapies.
Education
  • Ph.D. in Computer Science, University of Minnesota, Twin Cities, Advisor: Prof. Shashi Shekhar
Background
  • His research interests span the field of data science, with a focus on developing innovative spatial data science techniques to improve clinical outcomes and support decision-making in healthcare. His work addresses challenges posed by spatial autocorrelation and spatial heterogeneity, and integrates spatial intelligence into biomedical decision support systems.
Miscellany
  • He is motivated to learn, explore, and enjoy adventures.