Oliver Obst © Oliver Obst

Accepting HDR Candidates

Available HDR projects

I have projects for self-funded HDR students in machine learning for robotics.

Calculated based on number of publications stored in Pure and citations from Scopus
20002025

Research activity per year

Personal profile

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 6 - Clean Water and Sanitation
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities
  • SDG 13 - Climate Action

Related links

Qualifications

Doctor of Philosophy, University of Koblenz-Landau

Research keywords

  • Machine learning
  • robotics
  • data science
  • artificial intelligence

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Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • Efficient time-series approximation with linear recurrent neural networks: architecture learning and predictive power

    Stolzenburg, F., Litz, S., Michael, O. & Obst, O., Nov 2025, In: Neural Computing and Applications. 37, 32, p. 27027-27055 29 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    File
    9 Downloads (Pure)
  • Managing data uncertainty in automatic mapping of clinical classification systems

    Purja Pun, S., Obst, O., Basilakis, J. & Ginige, J. A., 2025, Data Science: Foundations and Applications: 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, Australia, June 10-13, 2025, Proceedings, Part VII. Wu, X., Spiliopoulou, M., Wang, C., Kumar, V., Cao, L., Zhou, X., Pang, G. & Gama, J. (eds.). Singapore: Springer, p. 284-295 12 p. (Lecture Notes in Computer Science; vol. 15876).

    Research output: Chapter in Book / Conference PaperChapterpeer-review

  • Selective frame analysis for efficient object tracking: balancing speed with accuracy in MOT systems

    Jung Shah, Y., Guo, Y., Park, L. A. F. & Obst, O., 2025, Multi-disciplinary Trends in Artificial Intelligence: 17th International Conference, MIWAI 2024, Pattaya, Thailand, November 11-15, 2024, Proceedings, Part I. Sombattheera, C., Weng, P. & Pang, J. (eds.). Singapore: Springer, p. 245-256 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15431).

    Research output: Chapter in Book / Conference PaperChapterpeer-review

  • Using pseudo-synonyms to generate embeddings for clinical terms

    Purja Pun, S., Obst, O., Basilakis, J. & Ginige, J. A., 2025, Data Science: Foundations and Applications: 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, Australia, June 10-13, 2025, Proceedings, Part VII. Wu, X., Spiliopoulou, M., Wang, C., Kumar, V., Cao, L., Zhou, X., Pang, G. & Gama, J. (eds.). Singapore: Springer, p. 209-220 12 p. (Lecture Notes in Computer Science; vol. 15876).

    Research output: Chapter in Book / Conference PaperChapterpeer-review

  • Data optimisation of machine learning models for smart irrigation in urban parks

    Ghadiri, N., Javadi, B., Obst, O. & Pfautsch, S., 2024, Proceedings of the 2024 International Conference on Ubiquitous Computing and Communications, the 23rd International Conference on Computer and Information Technology and the 7th International Conference on Data Science and Computational Intelligence (IUCC-CIT-DSCI 2024), 20-22 December 2024, Chengdu, China. Zhao, Z., Hu, J., Xu, L., Hao, F., Pang, G. & Wang, H. (eds.). U.S.: IEEE, p. 70-77 8 p.

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review