Alan Dearle

Prof

  • KY16 9SS

    United Kingdom

Accepting Postgraduate Research Students

PhD projects

Metric search; metric indexing; data linkage; genealogical population reconstruction; synthetic population generation; operating systems; unikernel operating systems

Personal profile

Profile Keywords

Metric search; metric indexing; data linkage; genealogical population reconstruction; synthetic population generation; operating systems; unikernel operating systems

Research overview

Distributed systems; Operating Systems; Programming Languages Similarity Search; Data Linkage

My roots are in the confluence of databases, operating systems, programming languages.
For many years this was manifested in work on persistent systems.
Recently I have been working on three areas which still relate to the above themes.

The Digitising Scotland project is creating a linked pedigree of the Scottish people from the mid 1800s.
This is being created from digitised birth, deaths and marriage records.
A group at St Andrews. of which I am a part, is engaged in linking these records.
Related to this we are creating a population simulator to provide ground truth for linkage experiments.
This work is largely being conducted by Tom Dalton who is supervised by Graham Kirby and myself.

As part of the Digitising Scotland project we have found many problems with current approaches to linkage.
To address these deficiencies I have been working with Richard Connor from Stirling on Similarity Search.
We are developing new Similarity Search algorithms over Metric Spaces to enable efficient search for linkage matching.

Lastly my interest in Operating Systems is continuing with Ward Jaradat (now at Adobe) and Jon Lewis.
We are working on a UniKernel operating system called Stardust which is capable of supporting Java applications.
The Stardust Unikernel is now operational and supports a full networking stack and Posix threads.

Academic/Professional Qualification

B.Sc., University of St Andrews; Ph.D., University of St Andrews; British Computer Society; The Association for Computing Machinery

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

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Collaborations and top research areas from the last five years

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  • An approach to population linkage using graph databases

    Dearle, A., Kirby, G. N. C. & Akgun, O., 5 Jul 2023, p. 291-302. 12 p.

    Research output: Contribution to conferencePaperpeer-review

    Open Access
  • Similarity search with multiple-object queries

    Connor, R., Dearle, A., Morrison, D. & Chávez, E., 2023, Similarity Search and Applications: 16th International Conference, SISAP 2023, A Coruña, Spain, October 9–11, 2023, Proceedings. Pedreira, O. & Estivill-Castro, V. (eds.). Cham: Springer, p. 223-237 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14289 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    12 Downloads (Pure)
  • Investigating binary partition power in metric query

    Connor, R., Dearle, A. & Vadicamo, L., 22 Aug 2022, SEBD 2022: proceedings of the the 30th Italian Symposium on Advanced Database Systems. Amato, G., Bartalesi, V., Bianchini, D., Gennaro, C. & Torlone, R. (eds.). Online: CEUR-WS, Vol. 3194. p. 415-426 12 p. (Italian Symposium on Advanced Database Systems; vol. 3194).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    1 Downloads (Pure)
  • On the expected exclusion power of binary partitions for metric search

    Vadicamo, L., Dearle, A. & Connor, R., 29 Sept 2022, Similarity search and applications: 15th International conference, SISAP 2022, Bologna, Italy, October 5–7, 2022, proceedings. Skopal, T., Falchi, F., Lokoč, J., Sapino, M. L., Bartolini, I. & Patella, M. (eds.). Cham: Springer, Cham, p. 104-117 14 p. (Lecture notes in computer science; vol. 13590).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    3 Downloads (Pure)
  • BitPart: exact metric search in high(er) dimensions

    Dearle, A. & Connor, R., Jan 2021, In: Information Systems. 95, 14 p., 101493.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    File
    9 Downloads (Pure)