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dr. A. Kamilaris (Andreas)

Associate Professor

About Me

Member of the Pervasive Systems group of the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) of the University of Twente, lecturing at the Creative Technologies BSc programme of the university. Research focusing on multi-modal contextual deep learning, bringing together field and remote sensing for scaling up environmental observation.

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Research

Latest research focusing on multi-modal contextual deep learning, bringing together field and remote sensing for scaling up environmental observation. Research expertise in Data Visualizations, Internet and Web of Things, with applications in various smart-* environments (houses, buildings, cities and agriculture). A growing experience in geo-vision, i.e. remote sensing, GIS and computer vision (mostly via deep learning).

Orcid: https://orcid.org/0000-0002-8484-4256

Publications

Recent
Jamil, A., Padubidri, C., Karatsiolis, S., Kalita, I., Guley, A. , & Kamilaris, A. (2024). GAEA: A Country-Scale Geospatial Environmental Modelling Tool: Towards a Digital Twin for Real Estate. In V. Wohlgemuth, D. Kranzlmüller, & M. Höb (Eds.), Advances and New Trends in Environmental Informatics 2023: Sustainable Digital Society (pp. 177–199). (Progress in IS). Springer. https://doi.org/10.1007/978-3-031-46902-2_10
Kalita, I. , Kamilaris, A. , Havinga, P. J. M., & Reva, I. (2024). Assessing the Health Impact of Disinfection Byproducts in Drinking Water. ACS Environmental Science and Technology Water, Article 3c00664. Advance online publication. https://doi.org/10.1021/acsestwater.3c00664
Karatsiolis, S. , & Kamilaris, A. (2023). A Model-agnostic Approach for Generating Saliency Maps to Explain Inferred Decisions of Deep Learning Models. In P. Radeva, G. M. Farinella, & K. Bouatouch (Eds.), Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISAPP (Vol. 4, pp. 39-46). (Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; Vol. 2023, No. 18). SCITEPRESS. https://doi.org/10.5220/0011612400003417
Kamilaris, A., Filippi, J. B., Padubidri, C., Koole, R., & Karatsiolis, S. (2023). Examining the potential of mobile applications to assist people to escape wildfires in real-time. Fire Safety Journal, 136, Article 103747. https://doi.org/10.1016/j.firesaf.2023.103747
Schokker, J. , Kamilaris, A., & Karatsiolis, S. (2022). A Review on Key Performance Indicators for Climate Change. In V. Wohlgemuth, S. Naumann, G. Behrens, & H.-K. Arndt (Eds.), Advances and New Trends in Environmental Informatics: A Bogeyman or Saviour for the UN Sustainability Goals? (pp. 273–292). Springer. https://doi.org/10.1007/978-3-030-88063-7_17
Padubidri, C. , Kamilaris, A., & Karatsiolis, S. (2022). Accurate Detection of Illegal Dumping Sites Using High Resolution Aerial Photography and Deep Learning. In 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022 (pp. 451-456). IEEE. https://doi.org/10.1109/PerComWorkshops53856.2022.9767451
Laoudias, C., Raspopoulos, M., Christoforou, S. , & Kamilaris, A. (2022). Privacy-Preserving Presence Tracing for Pandemics Via Machine-to-Machine Exposure Notifications. In Proceedings - 2022 23rd IEEE International Conference on Mobile Data Management, MDM 2022 (pp. 355-360). (Proceedings - IEEE International Conference on Mobile Data Management; Vol. 2022). IEEE. https://doi.org/10.1109/MDM55031.2022.00080
Karatsiolis, S., Padubidri, C. , & Kamilaris, A. (2022). Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images. IEEE transactions on geoscience and remote sensing, 60, Article 4414213. https://doi.org/10.1109/TGRS.2022.3209340
Spink, S. , Kamminga, J. W. , & Kamilaris, A. (2022). Improving the Annotation Efficiency for Animal Activity Recognition using Active Learning. In A. Spink, J. Barski, A.-M. Brouwer, G. Riedel, & A. Sil (Eds.), Measuring Behavior 2022: 12th International Conference on Methods and Techniques in Behavioral Research, and 6th Seminar on Behavioral Methods (Vol. 2, pp. 51-58) https://doi.org/10.6084/m9.figshare.20066849
Karatsiolis, S. , & Kamilaris, A. (2021). Converting Image Labels to Meaningful and Information-rich Embeddings. In M. De Marsico, G. S. di Baja, & A. Fred (Eds.), ICPRAM 2021 - Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods (Vol. 1, pp. 107-119). (International Conference on Pattern Recognition Applications and Methods; Vol. 2021, No. 10). SCITEPRESS. https://doi.org/10.5220/0010375801070119
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Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 5003
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  5003
P.O. Box 217
7500 AE Enschede
The Netherlands

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University of Twente Drienerlolaan 5
7522 NB Enschede
+31 (0)53 489 9111
info@utwente.nl
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