Dr Milan Markovic

简介

Email Addressmilan.markovic@abdn.ac.ukOffice Address 207 Meston BuildingOld Aberdeen CampusMeston Walk AB24 3UEView on Map School/DepartmentSchool of Natural and Computing Sciences Google ScholarLinkedin Research Research Overview My main research interests are focused on complex socio-technical systems underpinned by novel technologies such as IoT, AI, and Blockchains. More specifically I focus on issues related to transparency, accountability, compliance, and trustworthiness within such systems. Keywords: Provenance, Semantic Web, Intelligent Systems, Agri-food, Internet of Things (IoT), Accountable AI Systems, Healthcare Research Areas Accepting PhDs I am currently accepting PhDs in Computing Science. Please get in touch if you would like to discuss your research ideas further. Email Me

代表成果

• Authoring and Management of Transparent Research Integrity Assessments of Randomised Clinical Trial Publications Using LLM-assisted Tools and Provenance Knowledge Graphs 2026 - Accepted/In pressMarkovic, M., Indukuri, G., Sripada, S., Vorland, C. J., Wilkinson, J., Robertson, C., Bolland, M. J., Grey, A., Brazzelli, M., Avenell, A. Chapters in Books, Reports and Conference Proceedings: Conference Proceedings[OPEN ACCESS] https://aura.abdn.ac.uk/bitstreams/6da02637-e7a2-45be-b20e-25fdb1f0bee2/download[ONLINE] Conference proceedings series
• [OPEN ACCESS] https://aura.abdn.ac.uk/bitstreams/6da02637-e7a2-45be-b20e-25fdb1f0bee2/download
• [ONLINE] Conference proceedings series
• Enhancing Strawberry Yield Forecasting with Backcasted IoT Sensor Data and Machine Learning 2026 - Accepted/In pressAyall, T. A., Li, A., Beddows, M. A., Markovic, M., Leontidis, G. IEEE Transactions on AgriFood ElectronicsContributions to Journals: Articles
• From Research Outputs to Reporting Practice: Towards A Neuro-Symbolic Approach to Managing Emission Conversion Factors for Transparency of Carbon Accounting 2025 - PublishedHolm, A., Markovic, M., Williams, P. N., Kuhnert, M. DiTraRe Symposium on Digitalisation of Research 2025Contributions to Conferences: Posters[ONLINE] DOI: https://doi.org/10.5281/zenodo.17950177[OPEN ACCESS] https://aura.abdn.ac.uk/bitstreams/3b780c11-015b-4418-a6db-0a0713cb1776/download
• [ONLINE] DOI: https://doi.org/10.5281/zenodo.17950177
• [OPEN ACCESS] https://aura.abdn.ac.uk/bitstreams/3b780c11-015b-4418-a6db-0a0713cb1776/download
• Pushing the Limits of Sparsity: A Bag of Tricks for Extreme Pruning 2025 - PublishedLi, A., Durrant, A., Markovic, M., Huang, T., Kundu, S., Chen, T., Yin, L., Leontidis, G. Transactions on Machine Learning Research, vol. 11/2025, 5122Contributions to Journals: Articles[ONLINE] https://openreview.net/pdf?id=XX9JdOJD8R[OPEN ACCESS] https://aura.abdn.ac.uk/bitstreams/164fbcda-8cac-4479-8f34-629abdab3b46/download[ONLINE] View publication in Scopus
• [ONLINE] https://openreview.net/pdf?id=XX9JdOJD8R
• [OPEN ACCESS] https://aura.abdn.ac.uk/bitstreams/164fbcda-8cac-4479-8f34-629abdab3b46/download