Publications, Patents & Research Interest:
Some Publications
For a full list of publications and the links, please check out my Google Scholar profile.
Population Data Models for Settlement Extents, G Yetman, AE Gaughan, FR Stevens, A Gros, J Mills, AGU Fall Meeting Abstracts 2019, IN44B-08
Facebook Disaster Maps: Aggregate Insights for Crisis Response & Recovery, P Maas, S Iyer, A Gros, W Park, L McGorman, C Nayak, PA Dow, KDD 19, 3173
Building detection from satellite images on a global scale, A Zhang, X Liu, A Gros, T Tiecke, arXiv preprint arXiv:1707.08952
Feedback neural network for weakly supervised geo-semantic segmentation, X Liu, A Zhang, T Tiecke, A Gros, TS Huang, arXiv preprint arXiv:1612.02766
The ability of individuals to assess population density influences the evolution of emigration propensity and dispersal distance, HJ Poethke, A Gros, T Hovestadt, Journal of Theoretical Biology 282 (1), 93-99
Sex-specific spatio-temporal variability in reproductive success promotes the evolution of sex-biased dispersal, A Gros, HJ Poethke, T Hovestadt, Theoretical Population Biology 76 (1), 13-18
Evolution of sex-biased dispersal: the role of sex-specific dispersal costs, demographic stochasticity, and inbreeding, A Gros, T Hovestadt, HJ Poethke, Ecological Modelling 219 (1-2), 226-233
Evolution of local adaptations in dispersal strategies, A Gros, H Joachim Poethke, T Hovestadt, Oikos 114 (3), 544-552
Patents
GPS-based spatial measurements, AT Grier, A Gros, TG Tiecke, US Patent 11,668,562
Deploying line-of-sight communication networks, A Gros, Y Maguire, K Yogeeswaran,
US Patent 10,637,573
Determination of population density using convoluted neural networks, TG Tiecke, A Zhang, X Liu, A Gros, US Patent 10,504,007
Systems and methods for processing shape data based on serialization formatting, A Hofleitner, A Gros, US Patent 10,437,876
Patent Applications:
Systems and methods for determining local-level demographic distribution of subscribers of service providers, A Hofleitner, V Gonguet, A Gros, TC Carnus,
US Patent App. 15/359,493
Research Interest
My background is in computer science, mathematics, ecology, and the analysis of complex systems. My PhD is in theoretical ecology. I currently work on machine learning projects that cover a cross-section of computer vision, geospatial, and remote sensing data. My past work revolved around Facebook’s High-Resolution Settlement Layer: https://dataforgood.facebook.com/dfg/tools/high-resolution-population-density-maps. I’m currently working as lead engineer for ML at Vibrant Planet.