M. K. H. Khan Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
grad_student
Research Areas
Biography and Research Information
OverviewAI-generated summary
M. K. H. Khan is a graduate student at the University of Arkansas at Fayetteville. Their research focuses on applying unsupervised learning techniques to analyze near-infrared observational data from the LEISA/Ralph instrument. This work has been applied to mapping the surface of Pluto. Khan has contributed to two publications in this area, receiving a total of nine citations. They have collaborated with V. F. Chevrier on shared publications.
Metrics
- h-index: 1
- Publications: 2
- Citations: 9
Selected Publications
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Pluto’s Surface Mapping Using Unsupervised Learning from Near-infrared Observations of LEISA/Ralph (2023)
Collaboration Network
Top Collaborators
- Pluto’s Surface Mapping Using Unsupervised Learning from Near-infrared Observations of LEISA/Ralph
- Pluto's Surface Mapping using Unsupervised Learning from Near-Infrared Observations of LEISA/Ralph
- Pluto's Surface Mapping using Unsupervised Learning from Near-Infrared Observations of LEISA/Ralph
- Pluto's Surface Mapping using Unsupervised Learning from Near-Infrared Observations of LEISA/Ralph
- Pluto's Surface Mapping using Unsupervised Learning from Near-Infrared Observations of LEISA/Ralph
- Pluto's Surface Mapping using Unsupervised Learning from Near-Infrared Observations of LEISA/Ralph
- Pluto’s Surface Mapping Using Unsupervised Learning from Near-infrared Observations of LEISA/Ralph
- Pluto’s Surface Mapping Using Unsupervised Learning from Near-infrared Observations of LEISA/Ralph
- Pluto’s Surface Mapping Using Unsupervised Learning from Near-infrared Observations of LEISA/Ralph
- Pluto’s Surface Mapping Using Unsupervised Learning from Near-infrared Observations of LEISA/Ralph
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