Data Conference Databasea Query.Farm index
Companies

Technical University of Munich

Product category: Not a vendor 100% confident
Org type: University / research 100% confident
Also listed as 1 other name

Technical University of Munich (TUM)

Conferences sponsored0
Events sponsored0
Speaker slots2520 distinct people
Conferences present at15sponsor or speaker
Years active2019–2026

Circuit mix

Where Technical University of Munich 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 Technical University of Munich 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.

Held in the past 12 months Next 12 months Today, Nov 10, 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.

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.

Where they've grown or pulled back

Technical University of Munich has never sponsored a tracked conference, so this follows where its speakers appear instead.

DownHad speakers at 3 conferences in 2026, down from 6 in 2023.

Counted per conference. 2026 is the latest year whose conferences have mostly happened. A conference counts as no longer seen only when later events published speaker lists.

New conferences spoken at 4

First speaker in 2025 or later.

No longer seen 10

No speakers since 2024 or earlier, though the conference published speaker lists after that.

Regulars 1

Speakers in most years of the span.

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. Humboldt University of Berlin0.82
  2. TU Berlin0.77
  3. Eindhoven University of Technology0.76
  4. University of California, Santa Cruz0.76
  5. Australian National University0.75
  6. Aalborg University0.74
  7. Aalto University0.74
  8. Leipzig University0.74

16 Cluster: FOSS4G · State of the Map circuit →

Often sponsors alongside

Companies that sponsored the same events, by number of shared events (out of 0 this company sponsored).

No co-sponsors: this company has no recorded sponsorships, or sponsored alone.

Neighborhood: companies with nearby conference footprints

Technical University of Munich (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.

Technical University of MunichTU BerlinUC Santa CruzNSFUSGSUniversity of Illinois Urbana-ChampaignArgonne National LaboratoryBoeingAalto UniversityPurdue UniversityUniversity of California, IrvineQuantStackDFKIprefix.devOceanBaseASMLUniversity of WaterlooModernaEmory UniversityDuckDB LabsYale UniversityUniversity of TartuCaltechNational University of SingaporeWherobots
Technical University of MunichUC Santa CruzNSFUSGSArgonne National LaboratoryBoeingAalto UniversityPurdue UniversityUniversity of California, IrvineQuantStackDFKIprefix.devOceanBaseASMLUniversity of WaterlooModernaDuckDB LabsYale UniversityCaltechWherobots

Sponsorships 0

No sponsorships recorded for Technical University of Munich.

Speakers 25

SpeakerEventRoleTalkLinks
CarlaState of the Map 2026speakerTowards a Real-Time Monitoring System for the Road Network Based on OpenStreetMap and Remote Sensing Data: OSM Road Monitor—
Frank ElsingaState of the Map 2026speakerMapLibre - from data to rendering, in one status update—
Frank ElsingaState of the Map 2026speakerUpgrading the OSM Front Page—
Christian Sustay MartinezJuliaCon Global 2026speakerModeling Indirect Readout through DNA Deformation Free Energies in Julia—
Leopold MareisJuliaCon Global 2026speakerGraphical Modeling with Symbolic Algebra in OSCAR.jlSlides
Marko PolicJuliaCon Global 2026speakerDifferent Automatic Differentiation algorithms from `SciMLSensitivity.jl`, and when to use them.—
Frank ElsingaFOSS4G Europe 2026speakerMapLibre Tiles - next generation tech and other MapLibre news—
Frank ElsingaFOSS4G Europe 2026speakerState of the MapLibre Tile Format—
Jana DiesnerEMNLP 2025keynoteLooking at NLP through the lens of the (computational) social sciences—
Adam StewartPyTorch Conference 2025posterPoster Presentations: Ecosystem & Performance—
Wangshu WangState of the Map 2024speakerAssessing the attribute accuracy and logical consistency of road data in OpenStreetMap—
Vangelis KourlitisSciPy 2024speakerHow the Scientific Python ecosystem helps answering fundamental questions of the Universe—
Vangelis KourlitisSciPy 2024tutorialThinking In Arrays—
Daryna DementievaPyCon DE & PyData Berlin 2024talkHow to Do Monolingual, Multilingual, and Cross-lingual Text Classification in April, 2024—
Christoph AnneserPrestoCon 2023speakerLearned Query Optimization in PrestoDB—
Hao LiState of the Map Europe 2023speakerBeyond Two Dimensions: Large-Scale Building Height Mapping in OpenStreetMap via Synthetic Aperture Radar and Street-View Imagery—
Yao SunState of the Map Europe 2023speakerBeyond Two Dimensions: Large-Scale Building Height Mapping in OpenStreetMap via Synthetic Aperture Radar and Street-View Imagery—
Ashmi BanerjeePyCon Lithuania 2023workshopThe Ultimate Matchmaker: Building Recommender Systems with TensorFlow—
Daryna DementievaPyCon DE & PyData Berlin 2023talkMethods for Text Style Transfer: Text Detoxification Case—
Thomas NeumannICDE 2023 (39th IEEE International Conference on Data Engineering)keynoteWhat Makes Database Systems Fast? An Ablation Study—
Sami HaddadinAAAI-23 (37th AAAI Conference on Artificial Intelligence)keynoteRobots with a sense of touch: self-replicating the machine and learning the self—
Per FuchsFourteenth LDBC TUC MeetingspeakerSortledton: A universal, transactional graph data structureSlides · Video
David GlavasML Conference 2019 BerlinspeakerEverything you need to know about Security Issues in today’s ML Systems—
Gerasimos ChourdakisFOSDEM 2019speakerCouple scientific simulation codes with preCICEVideo
Andreas KipfCIDR 2019paperLearned Cardinalities: Estimating Correlated Joins with Deep LearningPaper