Dr Daniel Archambault
Senior Lecturer
Computer Science
Telephone: (01792) 295371
Email: JavaScript is required to view this email address.
Room: Office - 334
Third Floor
Computational Foundry
Bay Campus

Publications

  1. & BayesPiles: Visualisation Support for Bayesian Network Structure Learning. ACM Transactions on Intelligent Systems and Technology
  2. & A Vector Field Design Approach to Animated Transitions. IEEE Transactions on Visualization and Computer Graphics, 1-1.
  3. & Drawing Dynamic Graphs Without Timeslices. In Graph Drawing and Network Visualization. (pp. 394-409).
  4. & Convergent Drawing for Mutually Connected Directed Graphs. Journal of Visual Languages & Computing
  5. & Evaluation of Graph Sampling: A Visualization Perspective. IEEE Transactions on Visualization and Computer Graphics (InfoVis 2016) 23(1), 401-410.

See more...

Teaching

  • CS-115 Programming 2

    This module is a continuation of the module CS-110 Programming 1. In it, students will continue to enhance their skills in programming, as well as gain a basic understanding of algorithms and data structures.

  • CSC327 Visual Analytics

    The course will provide an introduction to visual analytics and supporting necessary concepts in information visualisation. We will discuss the analytics process, data processing, and visualisation methods for many types of data. We will also cover supporting the human analytics process for this data.

  • CSCM27 Visual Analytics

    The course will provide an introduction to visual analytics and supporting necessary concepts in information visualisation. We will discuss the analytics process, data processing, and visualisation methods for many types of data. We will also cover supporting the human analytics process for this data.

  • CSGD00 Taught Masters Dissertation (Computer Science:Informatique)

    This module will provide students with the opportunity of exploring a particular topic in computer science in some considerable depth. It is only open to students studying MSc Computer Science, MSc Advanced Computer Science, MSc Advanced Software Technology or the MSc in High Performance and Scientific Computing.

  • CSGM01 Dual Award Swansea Grenoble MSc - Semester

    This module aggregates the Semester 1 (French: Semestre 7) modules that form part of the Grenoble delivery of the Dual Award MSc in Informatics. The module consists of six compulsory topics related to technical computer science, as well as material on technical writing and a four-week programming project.

  • CSGM02 Dual Award Swansea Grenoble MSc - Semester 2

    This module aggregates the Semester 2 (French: Semestre 8) modules that form part of the Grenoble delivery of the Dual Award MSc in Informatics. The module consists of three compulsory topics related to research preparation; and a choice of seven of 12 technical topics (see syllabus for details).

  • CSGM31 Dual Award Swansea Grenoble MSc - Semester 3 - Advanced Information Systems and Software Engineering

    This module aggregates the Semester 3 (French: Semestre 9) modules that form part of the Grenoble delivery of the Dual Award MSc in Informatics. The module consists of six compulsory and three optional technical topics related to the fields of Advanced Information Systems and Software Engineering.

  • CSGM32 Dual Award Swansea Grenoble MSc - Semester 3 - AI and the Web

    This module aggregates the Semester 3 (French: Semestre 9) modules that form part of the Grenoble delivery of the Dual Award MSc in Informatics. The module consists of four compulsory and 4 (of 5) optional technical topics related to AI and the Web.

  • CSGM33 Dual Award Swansea Grenoble MSc - Semester 3 - Graphics, Vision and Robotics

    This module aggregates the Semester 3 (French: Semestre 9) modules that form part of the Grenoble delivery of the Dual Award MSc in Informatics. The module consists of three compulsory and three optional technical topics related to the fields of Graphics, Vision and Robotics.

  • CSGM34 Dual Award Swansea Grenoble MSc - Semester 3 - Data Science

    This module aggregates the Semester 3 (French: Semestre 9) modules that form part of the Grenoble delivery of the Dual Award MSc in Informatics. The module consists of eight compulsory and three optional technical topics related to the field of Data Science.

  • CSGM35 Dual Award Swansea Grenoble MSc - Semester 3 - High-confidence Embedded and Cyberphysical Systems

    This module aggregates the Semester 3 (French: Semestre 9) modules that form part of the Grenoble delivery of the Dual Award MSc in Informatics. The module consists of three compulsory and three optional technical topics related to the fields of High-confidence Embedded and Cyberphysical Systems.

  • CSGM36 Dual Award Swansea Grenoble MSc - Semester 3 - Parallel, Distributed and Embedded Systems

    This module aggregates the Semester 3 (French: Semestre 9) modules that form part of the Grenoble delivery of the Dual Award MSc in Informatics. The module consists of four compulsory and three optional technical topics related to the fields of Parallel, Distributed and Embedded Systems.

  • CSGM37 Dual Award Swansea Grenoble MSc - Semester 3 - Ubiquitous and Interactive Systems

    This module aggregates the Semester 3 (French: Semestre 9) modules that form part of the Grenoble delivery of the Dual Award MSc in Informatics. The module consists of four compulsory and three optional technical topics related to the fields of Ubiquitous and Interactive Systems.

  • CSGM40 Dual Award Swansea Grenoble MSc - Semester 4 - Project

    This module represents a substantial scientific research project undertaken at Universite Grenoble Alpes as part of the Dual Degree MSc in Informatics.

Supervision

  • Scalable in time dynamic graph visualisation on wall displays. (current)

    Student name:
    PhD
    Other supervisor: Dr Gary Tam
  • Geo-spatial Visualization of Public Health Care Data (current)

    Student name:
    PhD
    Other supervisor: Dr Bob Laramee
  • 'Centrality Metrics Detection of Terrorist Networks.' (awarded 2018)

    Student name:
    MSc
    Other supervisor: Dr Monika Seisenberger