Atena Haghighattalab
Head Of Plant Sciences Core Facility at Vienna BioCenter Core Facilities (VBCF)
Vienna, Austria
Summary
👤
Senior🎓
Top SchoolAtena Haghighattalab is a plant science and digital agriculture leader with 10 years of experience translating remote sensing, image analysis, and geospatial methods into scalable phenotyping solutions for research and breeding programs. Currently Head of the Plant Sciences Core Facility at Vienna BioCenter Core Facilities, she has advised global networks like CGIAR on digital phenotyping strategy and implemented imaging-as-a-service models across continents. Her background spans academic leadership in plant phenomics at the University of Minnesota and hands-on consulting and applied research, combining a PhD in Applied Environmental Remote Sensing with executive training in women’s leadership. Known for bridging rigorous remote-sensing methodology with practical facility operations, she brings a rare mix of technical depth, program-level strategy, and on-the-ground implementation experience.
10 years of coding experience
8 years of employment as a software developer
Executive program, Women in Leadership, Executive program, Women in Leadership at Cornell Johnson Graduate School of ManagementMaster of Science (M.S.), Geomatics Engineering | Photogrammetry and Remote Sensing, Master of Science (M.S.), Geomatics Engineering | Photogrammetry and Remote Sensing at K. N. Toosi University of TechnologyDoctor of Philosophy (PhD), Geography - Applied Environmental Remote Sensing, Doctor of Philosophy (PhD), Geography - Applied Environmental Remote Sensing at Kansas State UniversityBS, Civil Engineering- Geomatics, BS, Civil Engineering- Geomatics at Isfahan University
Persian, English
Github Skills (12)
extent9
points9
assign9
geographic8
plot7
kml7
csv6
ids6
python5
excel5
polygon5
throughput1
Programming languages (1)
Github contributions (5)
atenah/Plot-Boundary-Extraction-CSV-KML
Mar 2016 - Aug 2018
In this approach, first I create a KML file from the field map (.CSV) using Python, generate polygon shapefiles with known size for each plot from KML file, and assign plot ID to each plot using the field map. To define the geographic extent of the field, the python script asks for the coordinate of two points in the field: the start point of the first plot and the end point of the last plot. Then it starts from building the first polygon using the defined plot size, and skips the gap between plots and generates the next one until it gets to the last plot. In this approach the plot IDs are assigned automatically and simultaneously from the field map excel sheet.
Contributions:1 release, 17 commits, 7 PRs in 2 years 5 months
csvpythonuntilgapkml
atenah/GWR
Apr 2017 - May 2017
Contributions:6 commits, 5 pushes, 1 branch in 4 days
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