Data Conference Databasea Query.Farm index
Companies

Monash University

Product category: Not a vendor 100% confident
Org type: University / research 100% confident
Also listed as 2 other names

Monash University Embodied Visualisation Group · Monash University, Australia

Conferences sponsored3
Events sponsored7
Speaker slots2822 distinct people
Conferences present at11sponsor or speaker
Years active2019–2026

Circuit mix

Where Monash University shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.

The year around now

Conferences where Monash University sponsored or had speakers in the past 12 months, and the announced events it is already listed for. One row per conference, January to December; hover a mark for the event and the company's role.

JanFebMarAprMayJunJulAugSepOctNovDecuseR!useR! (The R User Conference)CDAO (Chief Data & Analyti…CDAO (Chief Data & Analytics Officer) SummitsIEEE VISIEEE VIS (IEEE Visualization and Visual Analytics)ACMLACML (Asian Conference on Machine Learning)AJCAIAJCAI (Australasian Joint Conference on Artificial Intelligence)
Held in the past 12 months Next 12 months Today, Nov 9, 2026

Presence by conference and year

Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.

  • Title
  • Platinum
  • Gold
  • Silver
  • Bronze
  • Other / unlabeled tier
  • Had speakers
Conference20192020202120222023202420252026
IEEE VIS (IEEE Visualization and Visual Analytics)
AJCAI (Australasian Joint Conference on Artificial Intelligence)
useR! (The R User Conference)
CDAO (Chief Data & Analytics Officer) Summits
ACML (Asian Conference on Machine Learning)
SciPy Conference (Scientific Computing with Python)
Data Innovation Summit
EuroPython
IEEE ICDE (International Conference on Data Engineering)
New York R Conference (now The New York Data Science & AI Conference)
posit::conf (formerly rstudio::conf)

Activity by year

Three measures on one year axis; each panel has its own scale.

Conferences present at

Distinct conferences each year, split by whether the company sponsored or only had speakers there.

  • Sponsored
  • Speakers only

Distinct speakers

People from this company on a program that year, each counted once.

Sponsorships by tier

Sponsorship rows per year (one per event and listing), stacked by normalized tier.

  • Gold
  • Silver
  • Bronze
  • Other / unlabeled

Where they've grown or pulled back

UpSponsored 2 conferences in 2026, up from 1 in 2023.

Counted per conference. 2026 is the latest year whose conferences have mostly happened. Tiers use the best tier each year; swatches show the path, oldest first. A conference counts as pulled out only when a later event published a complete sponsor list, since most events don’t say whether their list is complete.

New 1

First sponsored in 2025 or later.

Moved up 1

Best tier rose between the first and latest year with a ranked tier.

Steady 1

Sponsored in most years of its span at the same tier.

Lookalikes

Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).

  1. L’Oreal0.75
  2. Stony Brook University0.71
  3. CRC Press0.66
  4. R Consortium0.65
  5. Highmark Health0.65
  6. Duke University0.64
  7. New York University0.64
  8. MSD0.64

5 Cluster: CDAO (Chief Data & Analytics Officer) Summits · Data Innovation Summit circuit →

Often sponsors alongside

Companies that sponsored the same events, by number of shared events (out of 7 this company sponsored).

CompanyShared eventsShare
Autodesk457%
VRVis457%
Adobe343%
Apple343%
Springer Nature343%
Tableau343%
Databricks229%
KAUST229%
Kitware229%
Nomic229%
NREL229%
SCI Institute (University of Utah)229%
Australian Computer Society (National Committee for AI)114%
Australian National University114%
City of Vienna114%

Neighborhood: companies with nearby conference footprints

Monash University (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.

Monash UniversityStony Brook UniversityDuke UniversitySpare CoresCRC PressUtrecht UniversityCity University of New YorkTU DresdenRStudioDelft University of TechnologyR ConsortiumMango SolutionsTU WienUniversity of WaterlooR SystemsWake Forest UniversityNorth Carolina State UniversityMemorial Sloan Kettering Cancer CenterAalborg UniversityRambollLeipzig UniversityNational University of SingaporeRelationalAIHasso Plattner InstituteDFKICNRS
Monash UniversityStony Brook UniversityDuke UniversitySpare CoresCRC PressUtrecht UniversityTU DresdenRStudioR ConsortiumMango SolutionsTU WienUniversity of WaterlooR SystemsWake Forest UniversityAalborg UniversityRambollLeipzig UniversityRelationalAIDFKICNRS

Sponsorships 7

EventDatePlaceTier as listedNormalized tier
ACML 2026Dec 1–4, 2026Melbourne, AustraliaGold Gold
IEEE VIS 2026Nov 9–13, 2026Boston, United StatesAcademic Other
AJCAI 2025Dec 1–5, 2025Canberra, AustraliaSponsor (proceedings preface) Other
IEEE VIS 2025Nov 2–7, 2025Vienna, AustriaAcademic Other
ACML 2024Dec 5–8, 2024Hanoi, VietnamSilver Silver
IEEE VIS 2023Oct 22–27, 2023Melbourne, AustraliaBronze Bronze
IEEE VIS 2022Oct 16–21, 2022Oklahoma City, United StatesBronze Bronze

Speakers 28

SpeakerEventRoleTalkLinks
Behrooz Hassani-MahmooeiCDAO Melbourne 2026keynoteUnlocking Data Project Success – From Stalled to Scaled—
Dianne CookuseR! 2026keynoteInteractive Graphics for Understanding and Interpreting Nonlinear Model Behaviour in High Dimensions, using R—
Mitchell O'Hara-WilduseR! 2026speakerSemantic vectors for safer statistics—
Harriet MasonuseR! 2025speakerVisualising Uncertainty with ggdibbler—
Mitchell O’Hara-WilduseR! 2025speakerVisualizing time with ggtime’s grammar of temporal graphics—
Piyadi Gamage Jayani LakshikauseR! 2025speakerGenerating interesting high-dimensional data structures—
Dinh PhungACML 2024keynoteLearning as Distribution Matching: A Perspective through Optimal Transport—
Dinh PhungAJCAI 2024keynoteMatching Distribution to Learn via Optimal Transport—
Fiona Neilson OnfidanANZ Data Innovation Summit 2024speaker——
Cynthia Huangposit::conf(2024)speakerQuarto for Knowledge ManagementVideo
Cynthia A HuanguseR! 2024speakerXmap: Unified Tools for Ex-Post Data Harmonisation—
Dianne CookuseR! 2024workshopInteractively Exploring High-Dimensional Data and Models in R—
Elio CampitelliuseR! 2024workshopEfficient Data Analysis with Data.Table—
Elio CampitelliuseR! 2024speakerBuilding Bilingual Bridges with Multilingual Manuals—
Jayani Piyadi GamageuseR! 2024speakerVisualize Your Fitted Nonlinear Dimension Reduction Model in High-Dimensional Space—
Rob HyndmanuseR! 2024speakerVital: Tidy Data Analysis for Demography—
Weihao LiuseR! 2024speakerAutovi: Automated Assessment of Residual Plots Using Computer Vision—
Yangzhuoran Fin YanguseR! 2024lightningroam: Remote Objects with Active-Binding Magic—
Maria Garcia De La BandaAJCAI 2023keynoteBeyond optimal solutions for real-world decision-support problems—
Linhao LuoICDE 2023 (39th IEEE International Conference on Data Engineering)industry paperMAMDR: A Model Agnostic Learning Framework for Multi-Domain Recommendation—
Draga Doncila PopSciPy 2022tutorialInteractive image analysis with napari—
Jiawei WangEuroPython 2022talkScalpel: The Python Static Analysis FrameworkVideo
Dr Behrooz Hassani-MahmooeiCDAO Melbourne 2022speaker——
Elizabeth CroftAI 2021 (34th Australasian Joint Conference on Artificial Intelligence)keynote——
Rob J HyndmanR Conference "New York" 2020 (virtual)talkEnsemble forecasts with fableVideo
Amin FodaChief Data & Analytics Officer Melbourne 2019speaker——
Juan Nunez-IglesiasSciPy 2019tutorial——
Juan Nunez-IglesiasSciPy 2019speakerGenera—