Bipul Neupane (0000-0002-5331-9897)

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Biography

Bipul Neupane received his B.E. in Geomatics Engineering from Kathmandu University, Nepal in 2015 and an M.S. in Engineering and Technology from Sirindhorn International Institute of Technology (SIIT), Thammasat University, Thailand in 2019. He is currently a PhD Candidate at the University of Melbourne (UoM), Australia. He is supported by the University of Melbourne for his PhD research and is awarded by Melbourne Research Scholarship. Before joining UoM, he worked as a Researcher at SIIT, Thammasat University, and ListenField, Thailand where he carried out several research works related to location intelligence using earth observation in urban and agricultural applications. His research interests include digital image processing and object classification using sensing technologies for public safety. His past work includes being GIS/M\&E Officer for location intelligence in the health sector and land-use planning services.

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Thammasat University Sirindhorn International Institute of Technology: Pathumthani, TH

2019-09-01 to 2021-08-31 | Researcher (Advanced Geospatial Technology Research Unit)

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Bipul Neupane

https://orcid.org/0000-0002-5331-9897

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Employment (2)

Thammasat University Sirindhorn International Institute of Technology: Pathumthani, TH

Sirindhorn International Institute of Technology: Pathumthani, TH

Education and qualifications (3)

The University of Melbourne: Melbourne, VIC, AU

Sirindhorn International Institute of Technology: Pathumthani, TH

Kathmandu University: Kathmandu, 3, NP

Works (15)

Multilabel Learning With ViT for Building Footprint Extraction From Off-Nadir Aerial Images

CNNs for remote extraction of urban features: A survey-driven benchmarking

Deep Learning for Remote Sensing Image Scene Classification: A Review and Meta-Analysis

Multi-Scale Feature Map Aggregation and Supervised Domain Adaptation of Fully Convolutional Networks for Urban Building Footprint Extraction

Parcel-Level Flood and Drought Detection for Insurance Using Sentinel-2A, Sentinel-1 SAR GRD and Mobile Images

BUILDING FOOTPRINT SEGMENTATION USING TRANSFER LEARNING: A CASE STUDY OF THE CITY OF MELBOURNE

ROBUST AND SCALABLE REAL-TIME VEHICLE CLASSIFICATION AND TRACKING: A CASE STUDY OF THAILAND

Object vs Pixel-based Flood/Drought Detection in Paddy Fields using Deep Learning

Real-Time Vehicle Classification and Tracking Using a Transfer Learning-Improved Deep Learning Network

Deep Learning-Based Semantic Segmentation of Urban Features in Satellite Images: A Review and Meta-Analysis

Real-time Drowsiness and Distraction Detection using Computer Vision and Deep Learning

Deep learning based banana plant detection and counting using high-resolution red-green-blue (RGB) images collected from unmanned aerial vehicle (UAV)

An Open-Source UAV Image Processing Web Service for Crop Health Monitoring

Useful AI applications in agriculture: aggregation of machine learning techniques for weather forecasting and banana plant counting

Weather Scenario Generation Game