dataTUdiscovery logo with the TU Wien logo in the middle.

Bring Your Idea. We Build the AI

Unlock the potential of your data, experiments, or models with tailored AI support, expert guidance, and reusable workflows delivered to you by the dataTUdiscovery team. The service center offers consulting, co-supervision, prototyping, and workflow development in the areas of artificial intelligence (AI) and machine learning (ML). The service is available for existing research projects or upcoming grant proposals for TU Wien researchers. 

Your Entry Point to Research+AI at TU Wien

dataTUdiscovery is TU Wien’s cross-faculty service center for accelerating scientific work with modern AI and ML, funded through the rectorate’s fuTUrefit projects. The center supports research groups from an initial idea to a full prototype through consulting, tailored models, and reusable workflows. Our experts collaborate with you to turn data, simulations, and experiments into high-impact Research+AI results. The dataTUdiscovery Service Center is supported by the team of experts at the Center for Artificial Intelligence and Machine Learning (CAIML), opens an external URL in a new window.

While CAIML connects experts to advance research on AI/ML, the dataTUdiscovery Service Center offers support for experimental and applied research with AI/ML. This way, dataTUdiscovery acts as a translation service that makes AI usable for specific scientific domain-specific or cross-domain problems. To this end, dataTUdiscovery provides implementation support and reusable solutions, for example.

For researchers

Do you want to implement an AI/ML workflow from literature in your projects? Would you like to schedule or prioritize experiments in a computer-aided, automated fashion? Do you plan to add an AI/ML workpackage to a grant proposal and are looking for consulting or co-supervision? Do you want to discuss an idea, or the potential of your existing data to model relationships? Contact the dataTUdiscovery service center for an initial assessment and further steps. The services of dataTUdiscovery are free of charge (within TU Wien).

To submit an idea or project proposal, email datatudiscovery@list.tuwien.ac.at. A template is available here as a Word, opens an external URL in a new window or Markdown, opens an external URL in a new window file. Specify relevant details including a description of the available data, preliminary work, and references to literature (regarding your own research or your idea).

We help provide resources so you can get started right away

  • Practical support for implementing AI processes: We help with tools and model selection, adapt existing AI models, and create prototypes for research ideas - so your group doesn't have to and can get started with AI faster.
  • Supported data annotation, model selection, and analysis reduce manual effort and free up valuable time in the lab and resources.
  • Direct assistance with accessing the TU Wien DataLab GPU cluster to minimize setup issues.

 

Visual abstraction of the dataTUdiscovery Service Center idea

From research ideas to AI solutions

The dataTUdiscovery Service Center aims to translate research ideas from various departments into AI/ML solutions through consulting, prototypes, reusable processes, and student projects

For students

Would you like to join applied Research+AI projects as part of theses, internships, or interdisciplinary coursework? Contact the dataTUdiscovery service center for current projects. The following courses can currently interface with dataTUdiscovery (check back for frequent updates):

Can't find a suitable course? No problem! No matter what you're studying, if you're interested in applied AI projects, just get in touch with us.

dataTUdiscovery – Esther Heid

Your Partner for Research+AI - Who are we?

dataTUdiscovery operates as a translation layer, helping researchers navigate the complexity of integrating AI/ML into established scientific workflows.

We are a collaborative undertaking comprising domain scientists, data experts, and student talents. Backed by the CAIML and TU Wien's high-performance computing infrastructure, we empower research groups, from Architecture to Physics, to utilize AI without needing to become AI experts themselves. We transform individual project ideas into reusable, high-impact research tools.

Lead

  • Ass. Prof. Esther Heid
  • Dr. Kristof Meixner

Faculty of Technical Chemistry

  • Ass.Prof. Esther Heid
  • Ass.Prof. Stefan Pflügl
  • Ass.Prof. Maren Podewitz
  • Ass.Prof. Georg Ramer
  • Ass.Prof. Dominik Stolzenburg

Faculty of Informatics

  • Assoc.Prof. Sabine Andergassen
  • Ao.Univ.Prof. Stefan Biffl
  • Univ.Prof. Thomas Gärtner
  • Univ.Prof. Allan Hanbury
  • Dr. Kristof Meixner
  • Assoc.Prof. Nysret Musliu
  • Dr. Florina Piroi
  • Dr. Niki Popper

Faculty of Mathematics and Geoinformation

  • Univ.Prof. Peter Filzmoser
  • Ass.Prof. Andreas Körner
  • Dr. Niki Popper
  • Dr. Martin Schobben

Faculty of Physics

  • Assoc.Prof. Sabine Andergassen
  • Dr. Carina Karner
  • Assoc.Prof. Florian Libisch
  • Univ.Prof. Kristina Orehounig
  • Dr. Christian Pichler
  • Dr. Christian Schäfer

Faculty of Mechanical and Industrial Engineering

  • Univ.Prof. Fazel Ansari
  • Univ.Prof. Stefanie Elgeti

Faculty of Electrical Engineering and Information Technology

  • Assoc.Prof. Lado Filipovic
  • Dr. Dominic Waldhör

Faculty of Civil and Environmental Engineering

  • Univ.Prof. Gerald Schweiger

Vice Rectorate Research, Innovation and International Affairs

  • Dr. Julian Ebner
  • Dr. Florina Piroi

Vice Rectorate Digitalisation and Infrastructure

  • Dr. Ernst Haunschmid
  • Daniel Niederlechner

Student representation

  • Fachschaft Technical Chemistry
  • Fachschaft Business Informatics/Data Science
  • HTU