Dr Milan Markovic
Dr Milan Markovic
Advanced Research Fellow
Memberships and Affiliations
- Internal Memberships
School representative on the Postdoctoral Research Committee
Member of the Concordat Steering Group
- External Memberships
Provenance, Semantic Web, Intelligent Systems, Agri-food, Internet of Things (IoT), Accountable AI Systems, Crowdsourcing
- Computer Science
Our research specialisms are based on the Higher Education Classification of Subjects (HECoS) which is HESA open data, published under the Creative Commons Attribution 4.0 International licence.
IoFT Working Group: Data Sharing and Interoperability for Data Trusts in Agri-Food
Sep 2020 – Present
The working group investigates potential technological solutions to the challenges of data sharing within data trusts for the agri-food sector.
Jan 2020 – Present
Project descriptionThe RAInS project aims to realise processes by which AI systems can be made accountable, by developing an accountability fabric for use by a variety of stakeholders. The project uses computational models of provenance – as a substrate for enabling trust; such a mechanism facilitates transparency and accountability by recording the processes, entities and agents associated with a system and its behaviours-supporting verification and compliance monitoring. Overview video https://vimeo.com/481206247.
2016 – Dec 2020
Our vision for the Internet of Things is built around the concept of the TrustLens –a future computational infrastructure supporting the three pillars of a user-centred IoT ecosystem: empowerment – providing citizens with insight and meaningful control over their data, and means to access/use data for their own purposes; transparency – presenting individuals with understandable and relevant information on how their data is being acquired and used, and the associated risks and benefits; accountability – means to support principled and enforceable data use, combined with verifiable evidence that appropriate measures are being taken.
May 2019 – Mar 2020
Project descriptionA pilot project exploring the use of IoT, semantic technologies, and blockchains to monitor food delivery.
The Food Sentiment Observatory: Exploiting New Forms of Data to Help Inform Policy on Food Safety & Food Crime Risks
2017 – Aug 2018
The Food Sentiment Observatory is a 12-month pilot study funded by the UK’s Economic & Social Research Council (ESRC). The project is investigating the potential for new forms of data such as social media and other online content to be used as part of the government policy making and policy assessment process. Our team is a partnership between Computer Science researchers at the University of Aberdeen, and Food Standards Scotland – the government agency responsible for food policy across Scotland, including aspects of food safety, food crime and nutrition.
2016 – Dec 2017
Industry led project in collaboration with researchers from the University of Aberdeen. The focus of the project is to explore how the Internet of Things can act as a means of sharing transport data in an efficient and timely way, what the data privacy challenges are, and how the smart phone can deliver more effective means of travel personalisation. For more info follow the project url.
FOOD SAFETY ASSURANCE: COMBINING PROVENANCE & THE INTERNET OF THINGS
Dec 2015 – Mar 2016
This project explores the potential of lightweight, low-cost sensing in a commercial kitchen as a means to aid understanding of food safety compliance issues.
Jan 2015 – Oct 2015
Exploring how social media updates can be combined with existing (open) datasets to further enhance real-time passenger information. There has been a rapid growth in the use of social media in public transport in recent years. Public transport service providers currently communicate with customers via social networks such as Twitter. This benefits transport operators as they can gain insight into customer attitudes and behaviours. It also enables passengers to be alerted to delays and disruption at an early stage through the existing channels they use.
Informed Rural Passenger
Jul 2011 – Oct 2014
The Informed Rural Passenger Project is exploring the creation of a transport information ecosystem with passengers at its centre as both consumers and suppliers of information.
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Designing Physical and Virtual Walkshop Methods for Speculative Internet of Things ResearchDIGICOM 2022: Advances in Design and Digital Communication III. Springer Nature, pp. 392-405, 14 pagesChapters in Books, Reports and Conference Proceedings: Chapters
- [ONLINE] DOI: https://doi.org/10.1007/978-3-031-20364-0_34
- [ONLINE] View publication in Scopus
Using Knowledge Graphs to Unlock Practical Collection, Integration, and Audit of AI Accountability InformationIEEE Access, vol. 10, pp. 74383 - 74411Contributions to Journals: Articles
Participatory IoT Policies: A Case Study of Designing Governance at a Local LevelChapters in Books, Reports and Conference Proceedings: Conference Proceedings
Prototyping an IoT Transparency Toolkit to support Communication, Governance and Policy in the Smart CityThe Design Journal, vol. 25, no. 3, pp. 459-480Contributions to Journals: Articles
From transparency to accountability of intelligent systems: Moving beyond aspirationsData & Policy, vol. 4, e7Contributions to Journals: Articles
The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food SectorComputers and Electronics in Agriculture, vol. 193, 106648Contributions to Journals: Articles
FlyTrap: A Blockchain-based Proxy for Authorisation and Audit of MQTT ConnectionsChapters in Books, Reports and Conference Proceedings: Conference Proceedings
- [ONLINE] DOI: https://doi.org/10.1109/IOTSMS53705.2021.9704968
Workshop on Reviewable and Auditable Pervasive Systems (WRAPS)Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
The Accountability Fabric: A Suite of Semantic Tools For Managing AI System Accountability and AuditContributions to Journals: Conference Articles
On Evidence Capture for Accountable AI SystemsChapters in Books, Reports and Conference Proceedings: Conference Proceedings