Manil Maskey

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    A[Manil Maskey]
    AC["Associated Concepts (24)"]
    AW["Authored Works (24)"]
    CA["Linked Co-Authors (7)"]
    CI["Linked Collaborating Institutions (10)"]
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    click CA "#co-authors"
    click CI "#collaborating-institutions"

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    NO["add outgoing edge"]
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ORCiD

https://orcid.org/0000-0002-5087-6903

OpenAlex ID

https://openalex.org/A5002530990 (API record)

Associated Concepts [?]

• Computer science
• Physics
• Engineering
• Geology
• Artificial intelligence
• Operating system
• Geography
• Mathematics
• Astronomy
• Data science
• Biology
• Remote sensing
• World Wide Web
• Data mining
• Aerospace engineering
• Oceanography
• Environmental science
• Meteorology
• Programming language
• Political science
• Database
• Satellite
• Law
• Economics

Authored Works

sorted by decreasing year, and then by display-name

• Using Large Scale Language Models for Enabling NLP Abilities Within Earth Sciences
• Towards a Collective Agenda on AI Across NASA Science
• The future of NASA Earth Science in the commercial cloud: Challenges and opportunities
• Space Flown Rodent Liver RNA Sequencing Data for Machine Learning in Space Biology Research
• Radiation-Induced DNA Damage Microscopy Data Benchmarking for Machine Learning in Space Biology Research
• Observing Supraglacial Lakes Using Semantic Segmentation and PlanetScope Imagery
• Machine Learning Based Benchmark for Space Flown Rodent Liver RNA Sequencing Data in Space Biology Research
• Improving Commercial Data Discoverability and Access for NASA's Commercial Smallsat Data Acquisition (CSDA) Program
• Deploying a Self-Supervised Learning Based Model to Search Events Across Space and Time
• Benchmark Models for Classification of Radiation Type Induced in Immune Cells
• A cloud-native workflow for publishing, discovering, processing, and visualizing geospatial data
• Tri-Agency Cooperation to Identify the Impact of COVID-19
• Trend Analysis of AI/ML Tools and Services in NASA
• The Field Campaign Explorer
• NASA Science Mission Directorate Artificial Intelligence Workshop Update
• Machine Learning pipeline for Earth Science using Sagemaker
• Lightning Activities at the Global Hydrometeorology Resource Center Distributed Active Archive Center
• Leveraging citizen science and Artificial intelligence for monitoring and estimating hazardous events
• Hackathons as an Open Science Tool to Engage Global Audiences in Responding to COVID-19 Using Earth Observations
• Detecting Floating Marine Debris from Commercial Small Satellite Imagery with Deep Learning
• Data system for NASAs Commercial Smallsat Data Acquisition Program
• BERT-E: An Earth Science Specific Language Model for Domain-Specific Downstream Tasks
• Applying FAIR and TRUST Principles to Support the Earth Science Community at the Global Hydrometeorology Resource Center DAAC
• A Novel Machine Learning Method for Surface PM2.5 Estimations from Geostationary Satellites

Linked Co-Authors

• Alexey Shiklomanov
• Brian Freitag
• Jennifer Wei
• Rahul Ramachandran
• Seyed Hamed Alemohammad
• Sylvain V. Costes
• Timothy J. Lang

Linked Collaborating Institutions

• IBM New York
• JAXA Japan Aerospace Exploration Agency
• Jet Propulsion Laboratory
• NASA Ames Research Center
• NASA Goddard Space Flight Center, Maryland
• NASA HQ
• NASA Langley Research Center
• NASA Marshall Space Flight Center
• Oak Ridge National Laboratory, Tennessee
• University of Alabama, Huntsville

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