prof.dr.ing. F.C. Nex (Francesco)

Prof. Francesco Nex is currently Associate (UHD1) Professor in the Earth Observation Science (EOS) Department at the University of Twente.

Francesco Nex received his master degree in Environmental Engineering (2006) and his PhD degree (2010) from the TU Turin (Italy). From 2011 to 2015 he was with the 3DOM unit of FBK (Italy) working as Marie-Curie Post-Doc from 2011 to 2014 and then as Researcher. In 2015, Francesco moved to the University of Twente, where he worked as Assistant and then Associate Professor at the faculty of Geo-Information Science and Earth Observation (ITC). His research focuses on fusing elements from photogrammetry , deep learning and robotics to develop innovative solutions for Geomatics applications. Francesco is author of over 150 publications in international journals and conferences. He is/was involved in several European and national research projects dealing with UAV data processing. He is leading the UAV centre of the ITC Faculty. He is the Chairman of the ICWG I/II (Unmanned Aerial Vehicles: sensors and applications) of the ISPRS (International Society of Photogrammetry and Remote Sensing) and he was the PI of three ISPRS scientific initiatives. He has been serving in different roles on the Editorial boards of three indexed journals. In 2020, he was awarded with the ISPRS President’s Honorary Citation and the E.H. Thomson Award.

Engineering & Materials Science

# Antennas
# Deep Learning
# Disasters
# Unmanned Aerial Vehicles (Uav)

Earth & Environmental Sciences

# Damage
# Detection
# Imagery
# Vehicle

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science (EOS)

CNR - IRPI (Italian Research Council)
Research associate - CNR IRPI (Italy)

Tilon, S. M. (2023). A Routine and Post-disaster Road Corridor Monitoring Framework for the Increased Resilience of Road Infrastructures. [PhD Thesis - Research UT, graduation UT, University of Twente, Faculty of Geo-Information Science and Earth Observation]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). https://doi.org/10.3990/1.9789036557115

Udugama, U. V. B. L. , Vosselman, G. , & Nex, F. (2023). Mono-hydra: Real-time 3D scene graph construction from monocular camera input with IMU. ArXiv.org. https://doi.org/10.48550/arXiv.2308.05515

Zhang, N. , Nex, F. C. , Vosselman, G. , & Kerle, N. (2023). Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation. In CVPR 2023 (pp. 18537-18546) https://openaccess.thecvf.com/content/CVPR2023/html/Zhang_Lite-Mono_A_Lightweight_CNN_and_Transformer_Architecture_for_Self-Supervised_Monocular_CVPR_2023_paper.html

Alsadik, B. , Dadrass Javan, F. , & Nex, F. C. (2023). UAV Remote Sensing for Smart Agriculture. GIM International, 2023(1), 14-17. Article issue 7 volume 36.

Karam, S. , Nex, F., Chidura, B. T. , & Kerle, N. (2022). Microdrone-Based Indoor Mapping with Graph SLAM. Drones, 6(11), 1-26. Article 352. https://doi.org/10.3390/drones6110352

Alsadik, B., Remondino, F. , & Nex, F. (2022). Simulating a hybrid acquisition system for UAV platforms. Drones, 6(11). https://doi.org/10.3390/drones6110314

Mwangangi, K. K., Mc'okeyo, P. O. , Oude Elberink, S. J. , & Nex, F. (2022). Exploring the potentials of UAV photogrammetric point clouds in facade detection and 3D reconstruction of buildings. In A. Yilmaz, J. D. Wegner, R. Qin, F. Remondino, T. Fuse, & I. Toschi (Eds.), XXIV ISPRS Congress “Imaging today, foreseeing tomorrow”: Commission II (B2-2022 ed., Vol. 43, pp. 433-440). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). Copernicus. https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-433-2022

Tilon, S. , Nex, F. , Vosselman, G., Llave, I. S. D. L. , & Kerle, N. (2022). Towards improved unmanned aerial vehicle edge intelligence: a road infrastructure monitoring case study. Remote sensing, 14(16), Article 4008. https://doi.org/10.3390/rs14164008

Zhang, N. , Nex, F. C. , Vosselman, G. , & Kerle, N. (2022). Training a disaster victim detection network for UAV search and rescue using harmonious composite images. Remote sensing, 14(13), 1-19. Article 2977. Advance online publication. https://doi.org/10.3390/rs14132977

Karam, S. , Nex, F. C., Karlsson, O., Rydell, J., Bilock, E., Tulldahl, M. , Kerle, N., & Holmberg, M. (2022). Micro and macro quadcopter drones for indoor mapping to support disaster management. In S. Hinz, R. Q. Feitosa, M. Weinmann, & B. Jutzi (Eds.), ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. Volume V-1-2022, pp. 203-210). (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. https://doi.org/10.5194/isprs-annals-v-1-2022-203-2022

Zhang, N. , Nex, F. C. , Vosselman, G. , & Kerle, N. (2022). Unsupervised harmonious image composition for disaster victim detection. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: Congress “Imaging today, foreseeing tomorrow”, Commission III (B3-2022 ed., Vol. 43, pp. 1189–1196). (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information ). Copernicus. https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1189-2022

Steenbeek, A. , & Nex, F. (2022). CNN-based dense monocular visual SLAM for real-time UAV exploration in emergency conditions. Drones , 6(3), 1-15. Article 79. https://doi.org/10.3390/drones6030079

Nex, F., Armenakis, C., Cramer, M., Cucci, D. A., Gerke, M., Honkavaara, E., Kukko, A. , Persello, C., & Skaloud, J. (2022). UAV in the advent of the twenties: Where we stand and what is next. ISPRS journal of photogrammetry and remote sensing, 184, 215-242. Advance online publication. https://doi.org/10.1016/j.isprsjprs.2021.12.006

Borsci, S. , Lehtola, V. V. , Nex, F. C. , Yang, M. Y. , Augustijn, P. W. M., Bagheriye, L. , Brune, C., Kounadi, O. , Li, J. J. , Rebelo Moreira, J. L. , Van der Nagel, J. , Veldkamp, B. P. , Le, D. V. , Wang, M. , Wijnhoven, F. , Wolterink, J. M. , & Zurita-Milla, R. (2022). Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle. AI & society. Advance online publication. https://doi.org/10.1007/s00146-021-01383-x

Stöcker, C., Bennett, R. , Koeva, M. N. , Nex, F. C. , & Zevenbergen, J. A. (2022). Scaling up UAVs for land administration: Towards the plateau of productivity. Land use policy, 114(105930), Article 105930. Advance online publication. https://doi.org/10.1016/j.landusepol.2021.105930

Zhang, N. , Nex, F. C. , Kerle, N. , & Vosselman, G. (2022). LISU: Low-light indoor scene understanding with joint learning of reflectance restoration. ISPRS journal of photogrammetry and remote sensing, 183, 470-481. Advance online publication. https://doi.org/10.1016/j.isprsjprs.2021.11.010

Stöcker, C. (2021). Unmanned aerial vehicle mapping for responsible land administration. [PhD Thesis - Research UT, graduation UT, Faculty of Geo-Information Science and Earth Observation, University of Twente]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). https://doi.org/10.3990/1.9789036553032

Kumaar, S. , Lyu, Y. , Nex, F. , & Yang, M. Y. (2021). CABiNet: Efficient Context Aggregation Network for Low-Latency Semantic Segmentation. In 2021 IEEE International Conference on Robotics and Automation (ICRA) (pp. 13517-13524). (Proceedings - IEEE International Conference on Robotics and Automation; Vol. 2021-May). IEEE. https://doi.org/10.1109/ICRA48506.2021.9560977

Nappo, N. , Mavrouli, O. , Nex, F. , van Westen, C., Gambillara, R., & Michetti, A. M. (2021). Use of UAV-based photogrammetry products for semi-automatic detection and classification of asphalt road damage in landslide-affected areas. Engineering geology, 294, Article 106363. Advance online publication. https://doi.org/10.1016/j.enggeo.2021.106363

Alsadik, B. , & Nex, F. C. (2021). The Rise in UAV Inspections for Civil Infrastructure. GIM International. https://www.gim-international.com/content/article/the-rise-in-uav-inspections-for-civil-infrastructure

Zhang, N. , Nex, F. C. , Kerle, N. , & Vosselman, G. (2021). Towards Learning Low-Light Indoor Semantic Segmentation with Illumination-Invariant Features. In N. Paparoditis, C. Mallet, F. Lafarge, M. Y. Yang, A. Yilmaz, J. D. Wegner, F. Remondino, T. Fuse, & I. Toschi (Eds.), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (B2-2021 ed., Vol. XLIII-B2-2021, pp. 427-432). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-427-2021

Yang, M. Y., Kumaar, S. , Lyu, Y. , & Nex, F. (2021). Real-time Semantic Segmentation with Context Aggregation Network. ISPRS journal of photogrammetry and remote sensing, 178, 124-134. Advance online publication. https://doi.org/10.1016/j.isprsjprs.2021.06.006

Balamuralidhar, N. , Tilon, S. , & Nex, F. (2021). MultEYE: Monitoring system for real-time vehicle detection, tracking and speed estimation from UAV imagery on edge-computing platforms. Remote sensing, 13(4), 1-24. Article 573. https://doi.org/10.3390/rs13040573

Madhuanand, L. , Nex, F. , & Yang, M. Y. (2021). Self-supervised monocular depth estimation from oblique UAV videos. ISPRS journal of photogrammetry and remote sensing, 176, 1-14. Advance online publication. https://doi.org/10.1016/j.isprsjprs.2021.03.024

Tilon, S. , Nex, F. , Kerle, N. , & Vosselman, G. (2020). Post-Disaster Building Damage Detection from Earth Observation Imagery using Unsupervised and Transferable Anomaly Detecting Generative Adversarial Networks. Remote sensing, 12(24), 1-27. Article 4193. https://doi.org/10.3390/rs12244193

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Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds (building no. 19), room 1225
Hallenweg 8
7522NH Enschede
The Netherlands

Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds 1225
P.O. Box 217
7500 AE Enschede
The Netherlands

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science (EOS)

University of Twente Drienerlolaan 5
7522 NB Enschede

+31 (0)53 489 9111
info@utwente.nl
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