Prof Alan Dearle

Prof Alan Dearle

Professor

Researcher profile

Phone
+44 (0)1334 46 3250
Email
alan.dearle@st-andrews.ac.uk

 

Research areas

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.

PhD supervision

  • Ben Claydon

Selected publications

  • Comparative Analysis of Relevance Feedback Techniques for Image Retrieval

    Vadicamo, L., Scotti, F., Dearle, A. & Connor, R., 2025, MultiMedia Modeling - 31st International Conference on Multimedia Modeling, MMM 2025, Proceedings. Ide, I., Kompatsiaris, I., Xu, C., Yanai, K., Chu, W.-T., Nitta, N., Riegler, M. & Yamasaki, T. (eds.). Springer Science and Business Media, p. 206-219 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15520 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Open access

    Correlations of cross-entropy loss in machine learning

     Connor, R., Dearle, A., Claydon, B. & Vadicamo, L., 30 May 2024, In: Entropy. 26, 6, 16 p., 491.

    Research output: Contribution to journal › Article › peer-review

  • Demonstrating the efficacy of polyadic queries

    Claydon, B., Connor, R., Dearle, A. & Vadicamo, L., 25 Oct 2024, Similarity search and applications: 17th International conference, SISAP 2024, Providence, RI, USA, November 4–6, 2024, proceedings. Chávez, E., Kimia, B., Lokoč, J., Patella, M. & Sedmidubsky, J. (eds.). Cham: Springer, p. 49-56 (Lectures notes in computer science; vol. 15268).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Scalable polyadic queries

     Connor, R., Dearle, A. & Claydon, B., 25 Oct 2024, Similarity search and applications: 17th International conference, SISAP 2024, Providence, RI, USA, November 4–6, 2024, proceedings. Chávez, E., Kimia, B., Lokoč, J., Patella, M. & Sedmidubsky, J. (eds.). Cham: Springer, p. 57-64 (Lecture notes in computer science; vol. 15268).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Open access

    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 conference › Paper › peer-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 proceeding › Conference contribution

  • Open access

    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 proceeding › Conference contribution

  • Open access

    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 proceeding › Conference contribution

  • Open access

    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 journal › Article › peer-review

  • Open access

    Linking Scottish vital event records using family groups

     Akgün, Ö., Dearle, A., Kirby, G. N. C., Garrett, E., Dalton, T. S., Christen, P., Dibben, C. J. L. & Williamson, L. E. P., 2 Apr 2020, In: Historical Methods: a Journal of Quantitative and Interdisciplinary History. 53, 2, p. 130-146 17 p.

    Research output: Contribution to journal › Article › peer-review

 

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