Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Abhishek Potnis

Has grant

Associate R&D Scientist

Oak Ridge National Laboratory

United States

Research Interests

Explore related searches

Professors in United States Professors in Remote Sensing Remote Sensing professors in United States

Recent Grants

Grant: Close

IEEE Geoscience and Remote Sensing Society Travel Grant

Open Date: 2018-07-01

Close Date: 2018-07-01

Grant: Close

International Semantic Web Conference Student Travel Grant

Open Date: 2016-10-01

Close Date: 2016-10-01

Grant: Close

M.Tech. & Ph.D. Teaching Assistantship

Open Date: 2014-07-01

Close Date: 2020-07-01

Articles (14)

Year:

2027

Year:

2026

Year:

2026

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Collaborators (4)

Ujjwal Verma

Associate Professor and Head

Manipal University

View details

Peter Novotný

university of žilina

SLOVAKIA

View details

Dan Lu

Senior Scientist

Oak Ridge National Laboratory

UNITED STATES

View details

Xiao Wang

Joint Appointment Assistant Professor

University of Tennessee

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Abhishek Potnis

Research Interests

Explore related searches

Recent Grants

Articles (14)

Roadmap and benchmarking: Privacy in federated load forecasting

SpaceNet 9 - Cross-Sensor Alignment of Optical and SAR Imagery

Emerging Flexible Designs for Geospatial Multimodal Foundation Models

TECHNICAL PROGRESS TOWARDS SPACENET-9-CROSS-MODAL SATELLITE IMAGERY REGISTRATION FOR NATURAL DISASTER RESPONSES

INTRODUCING SPACENET 9-CROSS-MODAL SATELLITE IMAGERY REGISTRATION FOR NATURAL DISASTER RESPONSES

OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery

Pretraining Billion-scale Geospatia Foundational Models on Frontier

TOWARDS DIVERSE AND REPRESENTATIVE GLOBAL PRETRAINING DATASETS FOR REMOTE SENSING FOUNDATION MODELS

TOWARDS INTERPRETABLE MACHINE LEARNING METRICS FOR EARTH OBSERVATION IMAGE ANALYSIS

AN AGENDA FOR MULTIMODAL FOUNDATION MODELS FOR EARTH OBSERVATION

Geospatial Knowledge Graph Construction Workflow for Semantics-Enabled Remote Sensing Scene Understanding

SCALING AUTOMATIC VECTOR DATA ALIGNMENT TO SATELLITE IMAGERY

TOWARDS GEOSPATIAL KNOWLEDGE GRAPH INFUSED NEURO-SYMBOLIC AI FOR REMOTE SENSING SCENE UNDERSTANDING

TOWARDS RAPID RESPONSE UPDATES OF POPULATIONS AT RISK

Collaborators (4)

Ujjwal Verma

Peter Novotný

Dan Lu

Xiao Wang

Make your next move.