Read my story
Majid is a Computer Science Ph.D. candidate at the University of Minnesota, Twin Cities, under the guidance of Prof. Shashi Shekhar.
His research centers on developing efficient and spatially explainable techniques for knowledge discovery and data mining with applications in healthcare, agriculture, and public safety.
His current research explores spatially explainable artificial intelligence approaches for analyzing spatial patterns in cellular maps derived from multiplex immunofluorescence (MxIF) technology.
The aim is to generate data-driven hypotheses for designing novel immunotherapies for cancer treatment.
Majid is also interested in developing novel spatial data science techniques to address challenges in the intersection of Sptial-enabled AI and agriculture.
His works include working with high-resolution hyperspectral images and point pattern data of turfgrass in agriculture to identify turfgrass mixtures that are
resilient to harsh winter. This work is essential for ensuring the sustainability of green spaces and landscapes in adverse environmental conditions in the face of
ongoing climate change.
Full Resume: 3 pages, 2023: (pdf)
