The following is a short overview of the equipment we have available.

Fixed Lab Equipment

• 3 “Gamer spec” PCs (Win10 with relevant other software installed)
• 1 Small Linux server
• 2 Electronics stations (Lab Power Supply, Function Generator, Oscilloscope)
• 86” Flatscreen and wireless presentation hardware.

Equipment for loan

• 3D Scanner - Shining 3D
• VR/AR Headset
  - Meta Quest Pro
  - Pico 4 Pro

Various Micro-controllers and supporting hardware

• Raspberry Pi 4
• Arduino UNO/Nano
• Zybo FPGAs.
• Ambiq Apollo4
• ESP32-S3
• Okdo Nano C100

Sensors and digital workstations

• Analog Discovery 2 Digital Workstations (2) and USB oscilloscopes (2)
• Seed Studio Grove Series sensors and actuators – numerous devices compatible with the Grove system for Pi and Arduino.
• Camera modules and lenses
• Electromagnetic hardware – NEMA Stepper motors, Servos, Valves, Pumps etc. Supporting hardware – controllers, PSUs etc.
• Displays – LCD, Segmented, OLED, E-Ink displays and supporting hardware.
• Electronics prototyping – relays, breadboards, jumpers, leads, switchable PSUs etc.

Consumables

• Small selection of passive components (please go to the electronics workshop for a larger selection)

• Small selection of active components (mux, h-bridges, AD converters, power management, batteries, LEDs, etc.)

• Selection of sensors and input devices (buttons, pots, encoders, gesture, environmental, proximity etc. etc.)

DTU Skylab Digital is continually expanding our equipment stock. If you require special hardware or software, please contact Thomas Vain thovai@dtu.dk

DTU offers datasets from internal sources. We are currently making efforts in this area to make these data more accessible. In the meantime, more information about DTU data can be found here:

DTU Data: https://data.dtu.dk/

Smart Campus: https://smartcampus.dtu.dk/data

DTU Smart Library:
https://www.bibliotek.dtu.dk/english/servicemenu/visit/smart-library/how-do-you-get-access-to-data

Projects:
https://www.skylab.dtu.dk/facilities/skylab-digital/projects

Applied AI Lunch Talk:
https://www.skylab.dtu.dk/facilities/skylab-digital/applied-ai-lunch-talk

Courses:
https://www.skylab.dtu.dk/facilities/skylab-digital/courses

At DTU Skylab Digital, we can offer expert help and advice from one of our currently employed Post-Doctoral researchers. Our researchers bring knowledge and skills from many different disciplines and institutions. If you have a question or challenge that requires specific domain knowledge, please reach out to us or an individual researcher.

We are very pleased to have the following researchers working in Skylab:

Name: Rasmus Berg Palm
Home Institution: ITU
Partner Institution: DIKU
Research Interests: Unsupervised Learning, Reinforcement Learning, Deep Learning, AI in games, fair AI
Practical Competencies: Machine Learning, Bayesian statistics, web based SaaS, software development and deployment in practice, practical machine learning in businesses, information extraction, Docker, Kubernetes, AWS, GCloud, ci/cd, python, java, kotlin, etc.
Email address: rasmb@itu.dk

Name: Dr. Guan Wang
Home Institution: DTU Compute
Partner Institution: DIKU
Research Interests: Computer Vision, Computer Graphics, Machine Learning (mainly for deep learning)
Practical Competencies: Matlab, python, C
Email address:guawa@dtu.dk

Name: Dr. Haiqin Wu
Home Institution: DIKU
Partner Institution: DTU
Research Interests: Data Security and Privacy Protection, Mobile Crowdsensing, Data Ecosystems, and Blockchain.
Practical Competencies: C#, C++, Java
Email address: hw@di.ku.dk
Website: https://di.ku.dk/english/staff/?pure=en/persons/675432

Name: Simon Bartels
Home Institution: DIKU
Partner Institution: DTU
Research Interests: approximate linear algebra, Gaussian processes, Bayesian optimization,
approximate inference
Practical Competencies: programming in general, python, C++
Email address: bartels@di.ku.dk

Name: Sine Zambach
Home Institution: CBS
Partner Institution: DTU
Research Interests: AI, ML, Ed-tech
Practical Competencies: R, data mining, knowledge formalization, App-prototyping, communicating science and tech, teaching kids programming
Email address:sz.digi@cbs.dk

Name: Rajani Singh
Home Institution: CBS
Partner Institution: DIKU
Research Interests: Blockchain Technology and their applications, Game Theory, Consensus Mechanism, Privacy and Security
Practical Competencies: MATLAB, Maple, C, C++, Python
Email address: rs.digi@cbs.dk
Website:https://www.cbs.dk/en/research/departments-and-centres/department-of-digitalization/staff/rsdigi

Name: Monica Mundada
Home Institution: CBS
Partner Institution: DTU
Research Interests: Machine Learning, Natural Language Processing, Data analytics, Computer vision
Practical Competencies: Python, MATLAB, Tableau, yolov2
Email address:mmu.digi@cbs.dk

Name: Stephan Sloth Lorenzen
Home Institution: DIKU
Partner Institution: DTU
Research Interests: Deep Learning Theory, Algorithms
Practical Competencies: Python, TensorFlow/Keras, C/C++
Email address:lorenzen@di.ku.dk

Name: Geetika Jain
Home Institution: ITU
Partner Institution: DTU
Research Interests: Blockchain Technology and its application, Mixed method approach, Qualitative research method, Quantitative research method
Practical Competencies: SPSS, AMOS, Meta-analysis, Structured literature review analysis, Bibliometric analysis, Word network analysis, Sentiment analysis
Email address:geja@itu.dk