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

Associate Professor

About Me

Dr. Francesco Nex is currently Associate 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 in the CIEM Project 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 120 publications in international journals and conferences. He is/was involved in several European and national research projects dealing with UAV data processing. 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 with different roles in 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.

Expertise

Engineering & Materials Science
Antennas
Convolutional Neural Networks
Deep Learning
Disasters
Unmanned Aerial Vehicles (Uav)
Earth & Environmental Sciences
Damage
Imagery
Vehicle

Ancillary Activities

  • Alpimetric s.r.l.
    Alpimetric s.r.l.

Publications

Recent
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
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. https://doi.org/10.1016/j.isprsjprs.2021.12.006
Stöcker, C. (2021). Unmanned aerial vehicle mapping for responsible land administration. 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
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
Mc'okeyo, P. O. , Nex, F. , Persello, C. , & Vrieling, A. (2020). Automated Co-Registration of Intra-Epoch and Inter-Epoch Series of Multispectral Uav Images for Crop Monitoring. In N. Paparoditis, C. Mallet, F. Lafarge, S. Hinz, R. Feitosa, M. Weinmann, & B. Jutzi (Eds.), ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci (1 ed., Vol. 5, pp. 309-316). (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-annals-V-1-2020-309-2020
González-Aguilera, D., Ruiz De Oña, E., López-Fernandez, L., Farella, E. M., Stathopoulou, E. K., Toschi, I., Remondino, F., Rodríguez-Gonzálvez, P., Hernández-López, D., Fusiello, A. , & Nex, F. (2020). Photomatch: An open-source multi-view and multi-modal feature matching tool for photogrammetric applications. In N. Paparoditis, C. Mallet, F. Lafarge, S. Kumar, P. L. N. Raju, S. P. Aggarwal, S. R. Reyes, M. Ustuner, F. Tsai, & V. Liesenberg (Eds.), International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (B5 ed., Vol. 43, pp. 213-219). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-213-2020
Tilon, S. M. , Nex, F. , Duarte, D. , Kerle, N. , & Vosselman, G. (2020). Infrastructure degradation and post-disaster damage detection using anomaly detecting Generative Adversarial Networks. In N. Paparoditis, C. Mallet, F. Lafarge, F. Remondino, I. Toschi, & T. Fuse (Eds.), ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIV ISPRS Congress (Vol. V-2-2020, pp. 573-582). (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-annals-V-2-2020-573-2020
Madhuanand, L. , Nex, F. , & Yang, M. Y. (2020). Deep learning for monocular depth estimation from UAV images. In N. Paparoditis, C. Mallet, F. Lafarge, F. Remondino, I. Toschi, & T. Fuse (Eds.), ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIV ISPRS Congress (Vol. V-2-2020, pp. 451-458). (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-annals-V-2-2020-451-2020

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University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands

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University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands