Choice 1 (105 words):
Shashi Shekhar is a leading scholar of spatial computing, spatial data science, GeoAI and Geographic Information Systems (GIS). Currently, he is serving as the Director of a National AI Research Institute, namely AI-LEAF, intersecting AI, Regenerative Agriculture and Sustainable Forestry. He is a McKnight Distinguished University Professor, at the University of Minnesota. Contributions include scalable algorithms for spatial pattern mining, along with an Encyclopedia of GIS, and a spatial computing book for professionals. Earlier, he presented at a Congressional reception (2015) and served as a member of many National Academies' committees. Recognitions include IEEE-CS Technical Achievement Award, UCGIS Education Award, IEEE Fellow and AAAS Fellow.
Choice 2 (200 words):
Shashi Shekhar is a leading scholar of spatial computing, spatial data science, GeoAI
and Geographic Information Systems (GIS).
Contributions include scalable algorithms for eco-routing, evacuation route planning and spatial
pattern (e.g., colocation) mining, along with an Encyclopedia of GIS, a Spatial
Databases textbook, and a
spatial computing book for professionals.
Shashi is a McKnight Distinguished University Professor, a Distinguished University Teaching Professor, and
an ADC Chair at the University of Minnesota.
Currently, he is serving as the Director of a National AI Research Institute, namely AI-LEAF,
intersecting AI, Regenerative Agriculture and Sustainable Forestry,
lead of the climate and sustainability group of the
Computing Research Association (CRA) workgroup on socially responsible computing,
a co-Editor-in-Chief of the Geo-Informatica journal (Springer),
and an Associate Director of his college's Data Science Initiative,
Earlier, he presented at a Congressional reception (2015),
co-chaired SIAM Data Mining conference (2023, 2024), CRA Snowbird conference (2022),
and served as the President of the University Consortium for GIS (UCGIS).
He also served as a member of many National Academies' committees and the CRA board.
Recognitions include IEEE-CS Technical Achievement Award, UCGIS Education Award, IEEE Fellow and AAAS Fellow.