Research scientist at the Functional Biogeography research group |
Research Interests | Projects | Background | Publications | Conferences and Workshops
I am particularly interested in topics with remote sensing which can provide non-invasive observations in the agricultural and conservation domains. As a recent computer science graduate, I am also interested in data analysis and imaging techniques for early-detection and decision support systems, as well as workflow development for environmental monitoring and precision agricultural applications.
At the MPI-BGC, I am currently developing my skills and knowledge in plant physiology and biochemistry so that I could further contribute and explore different methodologies in the area of nature conservation and sustainable use of natural resources.
currently |
Research scientist at the research group Functional Biogeography at the Max Planck Institute for Biogeochemistry, Jena, Germany |
2017 - 2020 |
Reseach assistant at the Dutch-German cooperation project SPECTORS (funded by INTERREG V-A Deutschland-Nederland) at the Rhine-Waal University of Applied Sciences, Kamp-Lintfort, Germany |
2020 |
Master's thesis "An open source workflow for weed mapping in native grassland using unmanned aerial vehicle: using Rumex obtusifolius as a case study" in the Rhine-Waal University of Applied Sciences, Kamp-Lintfort, Germany |
2016 - 2020 |
Studies in Information Engineering and Computer Science at the Rhine-Waal University of Applied Sciences, Kamp-Lintfort, Germany |
2016 |
Bachelor's thesis "Radar signal distortion caused by directional vibration of a 24 GHz FMCW system" at the IMST GmbH, Kamp-Lintfort, Germany |
2015 - 2016 |
Student Intern at the IMST GmbH, Kamp-Lintfort, Germany |
2015 |
Research assistant at the Rhine-Waal University of Applied Sciences, Kamp-Lintfort, Germany |
2013 - 2014 |
Student worker at the German Aerospace Center, Oberpfaffenhofen, Germany |
2012 - 2016 |
Studies in Communication and Information Engineering at the Rhine-Waal University of Applied Science, Kamp-Lintfort, Germany |
2008 - 2012 |
Studies in Law and Business at the Hong Kong Shue Yan University, Hong Kong |
Lam, O. H. Y., Dogotari, M., Prüm, M., Vithlani, H. N., Roers, C., Melville, B., Zimmer, F., & Becker, R. (2020). An open source workflow for weed mapping in native grassland using unmanned aerial vehicle: using Rumex obtusifolius as a case study. European Journal of Remote Sensing. doi: 10.1080/22797254.2020.1793687.
Vithlani, H. N., Dogotari, M., Lam, O. H. Y., Prüm, M., Melville, B., Zimmer, F., & Becker, R. (2020). Scale Drone Mapping on K8S: Auto-scale Drone Imagery Processing on Kubernetes-orchestrated On-premise Cloud-computing Platform. 6th International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM). doi: 10.5220/0009816003180325.
Lam, O. H. Y., Dogotari, M., Prüm, M., Vithlani, H. N., Roers, C., Melville, B., Becker, R., & Zimmer, F. (2019). Mapping invasive Rumex obtusifolius in grassland using unmanned aerial vehicle [Abstract]. Proceedings, 30(1), pp. 34. doi: 10.3390/proceedings2019030034.
Prüm, M., Dogotari, M., Melville, B., Lam, O. H. Y., & Becker, R. (2019). A Hyperspectral Imaging System for UAV Based Agricultural Remote Sensing in the VIS-SWIR Range [Abstract]. 10th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
Dogotari, M., Prüm, M., Lam, O. H. Y., Vithlani, H. N., Vu, V. H., Melville, B., & Becker, R. (2019). Development of a UAV-Borne LiDAR System for Surveying Applications [Abstract]. Proceedings, 30(1), pp. 75. doi: 10.3390/proceedings2019030075.
Vithlani, H. N., Dogotari, M., Melville, B., Prüm, M., Lam, O. H. Y., Becker, R., & Zimmer, F. (2019). Applicability of Remote Sensing Workflow in Kubernetes-Managed On-premise Cluster Environment [Abstract]. Proceedings, 30(1), pp. 38. doi: 10.3390/proceedings2019030038.
Lam, O. H. Y., Dogotari, M., Prüm, M., Vithlani, H. N., Roers, C., Melville, B., Becker, R., & Zimmer, F. (2019). Mapping of Rumex obtusifolius in Native Grassland using Unmanned Aerial Vehicle: From Object-based Image Analysis to Deep Learning [Abstract]. 39th Annual EARSeL Symposium (EARSeL). [Online] Available at: http://symposium.earsel.org/39th-symposium-Salzburg/wp-content/uploads/2019/07/EARSeL-2019-Book-of-Abstracts-Print.pdf
Lam, O. H. Y., Melville, B., Dogotari, M., Prüm, M., Roers, C., Becker, R., & Zimmer, F. (2018). Detection of invasive weed species in grasslands using UAV RGB-imagery [Abstract]. 3rd Unmanned Aircraft Systems for Remote Sensing (UAS4RS).
Kabiito, B., Melville, B., Lam, O. H. Y., Dogotari, M., & Becker, R. (2018). Remote Sensing for Localized Food Tree Mapping in Central Uganda: A Basis for Biodiversity Conservation [Abstract]. 3rd Unmanned Aircraft Systems for Remote Sensing (UAS4RS).
Lam, O. H. Y., Kulke, R., Hagelen, M., & Mollenbeck, G. (2016). Classification of moving targets using mirco-Doppler radar. 2016 17th International Radar Symposium (IRS). doi: 10.1109/irs.2016.7497317.
2019 |
THE Port Humanitarian Hackathon 2019 at CERN
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2019 |
TERRAenVISION 2019 Conference at Barcelona
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2019 |
39th Annual EARSeL Symposium at Salzburg
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2018 |
UAS4RS 2018 Conference at Melbourne
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2016 |
17th International Radar Symposium at Krakow
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