Bingnan Li Email & Phone Number

Sydney, New South Wales, Australia

Achievements* Utilized geospatial data combined with machine learning to tackle environmental challenges.* Developed an automated geoprocessing workflow for environmental risk analysis, utilizing Python scripts to manage geoprocessing, Excel file manipulation, Word template updates, and PDF creation.* Created a comprehensive environmental risk dataset for bushfire, flood, and contamination across New South Wales using geospatial analysis methods. The dataset was commercialized on… Show more Achievements* Utilized geospatial data combined with machine learning to tackle environmental challenges.* Developed an automated geoprocessing workflow for environmental risk analysis, utilizing Python scripts to manage geoprocessing, Excel file manipulation, Word template updates, and PDF creation.* Created a comprehensive environmental risk dataset for bushfire, flood, and contamination across New South Wales using geospatial analysis methods. The dataset was commercialized on the Snowflake Marketplace (https://www.landinsight.co/data-integration).* Led the NICU Bank Portfolio Wash project, which involved processing address matching based on the G-NAF dataset, correcting incorrect addresses, conducting environmental risk analysis on the cleaned data, and visualizing the results in Google Earth through a KML file.* Developed a new workflow to automate the generation of Contamination Certificates, from receiving requests to processing with a local Python file and uploading the results to Airtable and AWS S3 for client access.* Implemented various methods to automate online data downloads, including the use of PyAutoGUI to simulate mouse and keyboard operations for comprehensive task automation. Show less

Sydney, New South Wales, Australia

Deliver guest lectures for the course GMAT3220: Geospatial Information Systems.

Sydney, New South Wales, Australia

Achievements* Conducted in-depth spatio-temporal analysis of infectious diseases by leveraging the data points detected by EPIWATCH (https://www.epiwatch.org) and visually presented the results on maps, enabling a comprehensive understanding of disease patterns over time and space.* Utilized Geospatial Artificial Intelligence (GeoAI) techniques, including deep learning and natural language processing, to proactively identify potential early signals of epidemic diseases using… Show more Achievements* Conducted in-depth spatio-temporal analysis of infectious diseases by leveraging the data points detected by EPIWATCH (https://www.epiwatch.org) and visually presented the results on maps, enabling a comprehensive understanding of disease patterns over time and space.* Utilized Geospatial Artificial Intelligence (GeoAI) techniques, including deep learning and natural language processing, to proactively identify potential early signals of epidemic diseases using state-of-the-art models like BioBERT and BioGPT.* Conducted spatio-temporal analysis of infectious diseases using the data points detected by EPIWATCH and to visually present the results on maps.* Developed geospatial algorithms, including polygon-based static hotspot analysis and emerging hotspot analysis, utilizing Python and R programming, to identify potential hotspots and trends in epidemic diseases.* Gathered socio-economic geospatial datasets at the country level and conducted an in-depth investigation to establish correlations between the EPIWATCH datasets and the socio-economic geospatial datasets.* Designed and implemented a global biolabs geospatial analysis algorithm by python using EPIWATCH datasets.* Developed a deep learning-based model for spatio-temporal sentiment analysis from COVID-19 related tweets. Show less

Beijing, China

Deep learning-based digital map generation from multi-source spatio-temporal data.Key Responsibilities* Research project investigation from academic and industrial research.* Data pre-processing using Python libraries of OpenCV, Shapely, etc.* Deep learning model implementation by Keras based on the Tensorflow backend. Achievements* Developed digital urban maps for an online food delivery platform based on Artificial Intelligence (AI) techniques by utilizing… Show more Deep learning-based digital map generation from multi-source spatio-temporal data.Key Responsibilities* Research project investigation from academic and industrial research.* Data pre-processing using Python libraries of OpenCV, Shapely, etc.* Deep learning model implementation by Keras based on the Tensorflow backend. Achievements* Developed digital urban maps for an online food delivery platform based on Artificial Intelligence (AI) techniques by utilizing multi-source spatio-temporal data.* Developed a multi-task Res-U-Net model with attention mechanism for extractions of building roofs and shapes from the high-rise buildings using remote sensing images, and applied an offset vector method to detect the building footprints.* Proposed a novel optimization model to detect multiple Areas-of-Interest (AOIs) simultaneously using geospatial data from an online food delivery platform, and solved the multi-AOIs detection problem.* Developed a decoder fusion model based on dilated Res-U-Net for interior road extraction within residential complexes leveraging remote sensing images and GPS trajectories. Show less

Sydney, New South Wales, Australia

• Assist lecturers in invigilating exams and marking of assignments, lab classes, etc.• Assist lecturers in recording courses and lab courses for online watching. • Assist laboratory administrators to complete some lab cleaning work.

Dalian, Liaoning, China

I participated in many national programs and developed several GIS-based software packages with C#, Python, ArcPy, IDL and ArcGIS Engine. Achievements• Designed and developed Losses Assessment System for Harmful Algal Bloom Hazard.• Designed and developed Emergency Decision Support System for Harmful Algal Bloom Hazard.• Designed and Developed Seawater Quality Spatial Evaluation System based on multi-source data.• Developed Information System Integration and other… Show more I participated in many national programs and developed several GIS-based software packages with C#, Python, ArcPy, IDL and ArcGIS Engine. Achievements• Designed and developed Losses Assessment System for Harmful Algal Bloom Hazard.• Designed and developed Emergency Decision Support System for Harmful Algal Bloom Hazard.• Designed and Developed Seawater Quality Spatial Evaluation System based on multi-source data.• Developed Information System Integration and other software systems using C# and ArcGIS Engine.• Developed data processing and analysing systems to automate workflow based on Python, IDL and ArcPy.• Completed over 500 thematic maps (Sanchi oil spill monitoring, red tide monitoring, Enteromorpha monitoring, etc.), 50 reports and various data processing scripts for different programs. Show less

Shanghai City, China

Worked on GIS analysis and mapping using ArcGIS with the urban data processing team.

Doctor Of Philosophy - Phd, Data Mining And Geospatial Engineering

Course and Grade COMP9021: Principle of Programming, 93/HD COMP9024: Data Structure & Algorithms, 90/HD Research Topic: Deep.

Visiting Phd, Department Of Industrial Engineering

Master'S Degree, Cartography And Geographic Information Systems

Bachelor'S Degree, Geographic Information Systems