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Dominik Bittner

Cohort 1 (2024/25)

University of Aberdeen

Supervisors

Prof Jo Smith (University of Aberdeen), Prof Anil Fernando (University of Strathclyde), Professor Georgios Leontidis (University of Aberdeen)

Project

Nature-based Solutions for Restoration of Degraded Soils in Sub-Saharan Africa

About Me

I am a first year PhD student in the SUSTAIN CDT program at the University of Aberdeen and I am very excited about my projects’ interdisciplinary approach, combining soil and computer science.
During my PhD, I will analyse different nature-based solutions, which aim to restore degraded soils, and evaluate their impact on Ethiopian agricultural lands’ soil quality using Artificial Intelligence. This will serve to advise Ethiopian farmers on which nature-based solutions are most appropriate for their respective areas, ultimately improving their lands’ resilience to severe droughts and rainfall.

Research Interests

Sustainable agriculture, soil health mapping, artificial intelligence

Outputs

Publications:

  1. Staufer, S., Hauser, F., Ezer, T., Grabinger, L., Nadimpalli, V. K., Röhrl, S., Bugert, F., Bittner, D., Mottok, J. (2024). LEARNING ELEMENTS IN LMS-A SURVEY AMONG STUDENTS. In EDULEARN2024 Proceedings (pp. 9089-9098). IATED.

  2. Bittner, D., Nadimpalli, V. K., Grabinger, L., Ezer, T., Hauser, F., & Mottok, J. (2024, June). Uncovering Learning Styles through Eye Tracking and Artificial Intelligence. In Proceedings of the 2024 Symposium on Eye Tracking Research and Applications ETRA-2024.

  3. Bittner, D., Ezer, T., Grabinger, L., Hauser, F., & Mottok, J. (2023). Eye Tracking based Learning Style Identification for Learning Management Systems (1.0.0) [Data set]. Zenodo.

  4. Staufer, S., Hauser, F., Grabinger, L., Bittner, D., Nadimpalli, V. K., Bugert, F., Mottok, J. (2024). LEARNING ELEMENTS IN LMS-A SURVEY AMONG STUDENTS. In INTED2024 Proceedings (pp. 4224-4231). IATED.

  5. Staufer, S., Bugert, F., Hauser, F., Grabinger, L., Ezer, T., Nadimpalli, V. K., Bittner, D., Röhrl, S., Mottok, J. (2024). TYCHE ALGORITHM: MARKOV MODELS FOR GENERATING LEARNING PATHS IN LEARNING MANAGEMENT SYSTEMS. In INTED2024 Proceedings (pp. 4224-4231). IATED.

  6. Röhrl, S., Staufer, S., Nadimpalli, V. K., Bugert, F., Hauser, F., Grabinger, L., Bittner, D., Ezer, T., Mottok, J., (2024) PYTHIA - AI SUGGESTED INDIVIDUAL LEARNING PATHS FOR EVERY STUDENT, INTED2024 Proceedings, pp. 2871-2880.

  7. Staufer, S., Hauser, F., Grabinger, L., Bittner, D., Nadimpalli, V. K., Bugert, F., Mottok, J. (2024). LEARNING ELEMENTS IN LMS-A SURVEY AMONG STUDENTS. In INTED2024 Proceedings (pp. 4224-4231). IATED.

  8. Bittner, D., Ezer, T., Grabinger, L., Hauser, F., & Mottok, J. (2023, September). Unveiling the Secrets of Learning Styles: Decoding Eye Movements via Machine Learning. In Proceedings of the 16th annual International Conference of Education, Research and Innovation ICERI-2023.

  9. Nadimpalli, V., Bugert, F., Bittner, D., Hauser, F., Grabinger, L., Staufer, S., & Mottok, J. (2023, September). Towards Personalized Learning Paths in Adaptive Learning Management Systems: Bayesian Modelling of Psychological Theories. In Proceedings of the 16th annual International Conference of Education,Research and Innovation ICERI-2023.

  10. Staufer, S., Hauser, F., Grabinger, L., Bittner, D., Nadimpalli, V., & Mottok, J. (2023, September). Learning Elements in Online Learning Management Systems. In Proceedings of the 16th annual International Conference of Education,Research and Innovation ICERI-2023.

  11. Bittner, D., Hendricks, R., Horn, L., & Mottok, J. (2023, July). In-depth Benchmarking of Transfer Learning Techniques for Improved Bottle Recognition. In Proceedings of 13th International Conference on Pattern Recognition Systems ICPRS- 2023. IEEE.

  12. Bittner, D., Hauser, F., Nadimpalli, V. K., Grabinger, L., Staufer, S., & Mottok, J. (2023, June). Towards Eye Tracking based Learning Style Identification. In Proceedings of the 5th European Conference on Software Engineering Education ECSEE-2023 (pp. 138-147).

  13. Nadimpalli, V. K., Hauser, F., Bittner, D., Grabinger, L., Staufer, S., & Mottok, J. (2023, June). Systematic Literature Review for the Use of AI Based Techniques in Adaptive Learning Management Systems. In Proceedings of the 5th European Conference on Software Engineering Education (pp. 83-92).

  14. Bugert, F., Grabinger, L., Bittner, D., Hauser, F., Nadimpalli, V. K., Staufer, S., & Prof. Dr. Mottok, J. (2023, June). Towards Learning Style Prediction based on Personality. In Proceedings of the 5th European Conference on Software Engineering Education (pp. 48-55).

  15. Bittner, D., Ferreira, J. F., Andrada, M. E., Bird, J. J., & Portugal, D. (2022, June). Generating synthetic multispectral images for semantic segmentation in forestry applications. In ICRA 2022 Workshop in Innovation in Forestry Robotics: Research and Industry Adoption.

  16. Bittner, D., Andrada, M. E., Portugal, D., & Ferreira, J. F. (2021). SEMFIRE forest dataset for semantic segmentation and data augmentation (2.0) [Data set]. Zenodo.

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Grants:

  1. Eye Movement Modelling Examples (EMMEs) for public - EMME4Public (2024-04 - 2025-04); Bavarian State Ministry for Science and Art, Munich, DE; Grant Number: L.1-H2493.0/15; Grant volume: 60000€

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Talks:

  1. Guest lecture at University of Vienna on "Eye Tracking and Artificial Intelligence" in Dec. 2023

  2. Presentation at ICRA-2022 Workshop in Innovation in Forestry Robotics: Research and Industry Adoption

  3. Presentation at European Conference on Software Engineering Education ECSEE-2023

  4. Presentation at International Conference on Pattern Recognition Systems ICPRS- 2023

  5. Presentation at International Conference of Education, Research and Innovation ICERI-2023

  6. Presentation at Symposium on Eye Tracking Research and Applications ETRA-2024

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Posters:

  1. Title: Towards use of AI-Powered Hybrid Soil Health Assessment to Design Nature-Based Solutions for Restoration of Degraded Soils in Sub-Saharan Africa. Authors: D. Bittner, J. Smith, G. Leontidis, A. Fernando. Conference: AI4SoilHealth, Budapest, Hungary, December 2024.

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