CV

Perth-based, results-oriented geospatial researcher with over six years of experience in geomatics, geographic information systems (GIS), spatial data modelling and analysis, remote sensing data processing and analysis, UAV, photogrammetry, programming, machine learning, geospatial intelligence and cartography and data visualisation. Self-driven and capable of managing research projects effectively, with the potential to contribute to broader organisational activities. Team player willing to approach challenges with an orientation toward finding practical solutions. Passionate to expand expertise in emerging geospatial tools, technologies and algorithms and apply to inter-disciplinary application.

• 2021 - Present

  Australia

  PhD

  University of Melbourne

  Geomatics

• 2017 - 2019

  Thailand

  Master of Engineering

  Asian Institute of Technology

  Remote Sensing and Geographic Information Systems

• 2011 - 2015

  Nepal

  Bachelor of Engineering

  Kathmandu University

  Geomatics Engineering

• 2022 - 2024

  Graduate Research and Teaching Assistant

  Department of Infrastructure Engineering, University of Melbourne

  Recruited (casual) to work on externally funded projects focused on LiDAR point cloud classification toolbox development, and in-season crop type classification and yield prediction and to help in the development of practical materials for the graduate courses and deliver in coursework and practical sessions. Key responsibilities include intensive research, data handling, programming, spatial data analysis, model development, result analysis, documentation, and communication.

  • Developed a Python-based toolbox in ArcGIS Pro for classifying ground points and generating an elevation model from UAV-based LiDAR point cloud data of mining sites in Tasmania and trained stakeholders to install and use the toolbox.
  • Led the development of a data-driven model for in-season crop type classification and yield prediction in the US, France and Australia using time-series remote sensing images (Landsat, Sentinel-2, MODIS, and VIIRS) and weather data, employing Google Earth Engine and Python.
  • Contributed to developing project proposals, prepared technical reports, user guides and data documentation.
  • Designed and developed Python-based practical exercises for a graduate course, Spatial Data Analytics, covering fundamental spatial analysis such as point pattern analysis, spatial autocorrelation, hotspot analysis, geographically weighted regression, deterministic and geostatistical spatial interpolation, terrain analysis, watershed analysis, and satellite image analysis.
  • Created the repository in GitLab for managing the course materials and sharing with the students.
  • Delivered coursework and practical sessions for core geomatics courses, including Foundation of Spatial Information and Spatial Data Analytics, focusing on applying geospatial software, GIS tools and Python programming in real-world scenarios.
  • Supervised graduate students’ group projects associated with the course, working in domains such as bushfire, biodiversity, water quality and green space mapping.
  • Delivered in-person and online training sessions to school students from Victoria state and India to collect tree point data using a GPS built-in mobile device and generate a tree protection zone map using the open-source QGIS application.
  2019 - 2021

  Research Associate

  Asian Institute of Technology

  Employed to develop a SMART surveillance and decision support system for in-season sugarcane classification, monitoring and plantation date prediction for industry stakeholders. Key responsibilities include research and development, project management, field survey and data collection, programming, data modelling and analysis, documentation and communication.

  • Led the development of a Python-based backend system with PostgreSQL and PostGIS database for downloading remote sensing images (Sentinel-2) daily, performing atmospheric correction, cloud masking, generating vegetation indices and 15-day composite products, extracting zonal statistics, storing data into the database system, sugarcane crop classification, monitoring, and plantation date prediction in Thailand.
  • Developed machine learning models (random forest, support vector machine) for sugarcane classification and plantation date prediction based on time-series remote sensing data.
  • Coordinated with industry stakeholders, project supervisor and the frontend development team in designing and developing a web mapping application.
  • Conducted training sessions as the lead trainer on system development, sugarcane classification, and geospatial analysis for industry employees.
  • Coordinated closely with the sugarcane industry partners to plan and conduct field surveys and collect the ground data necessary for refining the system’s accuracy.
  • Supervised junior researcher in field data collection, spatial data processing, validation, coding, selecting geospatial tools and Python packages.
  • Contributed to developing project proposals, prepared technical reports, user guides and data documentation.
  2015 - 2017

  Teaching and Research Assistant

  Kathmandu University

  Employed to support the department in delivering undergraduate courses in the geomatics discipline and engage in various externally funded projects.

  • Worked closely with UAV operator and forestry expert to plan and conduct UAV flight, collected tree parameters in the forest, processed UAV images to generate orthomosiac and surface models, implemented object-based image analysis to delineate tree crowns and applied an empirical model to estimate forest biomass.
  • Worked closely with environmentalists and ecologists to plan UAV flights for data collection at different sites in the river basin to study environmental flow, operated UAV, processed UAV images to generate orthomosaic and surface models, and applied spatial analysis techniques to generate topographic and ecological maps.
  • Delivered undergraduate courses: Engineering Drawing, Basic Surveying, Topographical Surveying, Engineering and Environmental Surveying, Construction Surveying, and Theory of Errors and Adjustment.
  • Trained undergraduate students to handle surveying instruments such as Level, Theodolite, Total Station, GPS and UAV.
  • Supervised undergraduate students' projects on land suitability analysis for the dumping site and 3D reconstruction of cultural heritage using UAV images.

• Received the Best Presentation Award in Geomatics stream in the Infrastructure Engineering Graduate Research Conference 2023 held in Melbourne, Australia on 24 October 2023.
• Awarded Melbourne Research Scholarship for Doctoral studies at The University of Melbourne.
• Awarded First prize in the GEOHACK19 PRE-HACKATHON organised by The Group on Earth Observations at the Asian Institute of Technology, Thailand (7 – 8 October 2019).
• Awarded the John A. Hrones Prize for outstanding academic and research performance in the Master of Engineering, Remote Sensing and Geographic Information Systems discipline (4/4 CGPA, First Rank), on 17 May 2019.
• Received the Best RS&GIS Thesis Award in the Master of Engineering, Remote Sensing and Geographic Information Systems discipline (12 May 2019).