1. Aarhus University – More facts
44,500 Full-time students (52% graduate level students)
4,500 international students (103 nationalities)
3,400 full-degree int. students
1,100 exchange students
80 Bachelor programmes
120 Master degree programmes - 60 % are taught in English
FUTURE ELECTRONICS
May 2019
Thomas S. Toftegaard

2. AU Engineering – history
2012 : Initiation of Engineering Sciences (ENG) at Aarhus University (AU) and merge of a local engineering college (ASE) into AU.
2019 : Short Status No. of Enrolled Engineering Students approx students Annual Turnover approx Mio.€ Executed Research Funding approx Mio.€
2025 : Ambitious 10-year ( ) Investment and Growth Plan Initiate six new bachelor of science engineering programs. No. of engineering students is Recruit 180 permanent engineering science researchers AU ENGINEERING turnover of 133 Mio.€, with almost all growth from ENG engineering science.

3. Electrical and Computer Engineering

4. ECE-2019 – Research Areas & Groups
Department process in 2018 to establish research areas each
containing a number of research groups:
Communications and Networks
Control and Automation
Electronics
Photonics
Signal Processing
Software and Computing Systems

5. Research area - Electronics
STARDUST - in vivo optogeneticS, elecTrophysiology and phArmacology with an ultRasonically-powered DUST for Parkinson's Disease
H2020 FET-OPEN – 3.8 Mio EUR
– Coordinator AU
Wireless implantable and independent micro-scale device (200x200x200 µm3) powered by ultrasonic energy harvesting
Research broad spectrum of digital, analog, mixed-signal and radiofrequency electronic circuits and systems for future emerging tech.
Applications include e.g. next-generation (5G and beyond) low-power multi-Gb/s wireless data communications, neuromorphic computing, brain-computer interfaces, and cardiac devices
Research groups
H2020 FET-OPEN – 3.3 Mio EUR
– Coordinator AU
IQUBITS - Integrated Qubits Towards Future High-Temperature Silicon Quantum Computing Hardware Technologies
The objectives of the interdisciplinary project IQubits are to (i) develop and demonstrate experimentally high-temperature (high-T) Si and SiGe electron/hole-spin qubits and qubit integrated circuits (ICs) in commercial 22nm Fully-Depleted Silicon-on-Insulator (FDSOI) CMOS foundry technology as the enabling fundamental building blocks of quantum computing technologies.
Bioelectrical Instrumentation and Signal Processing
Docent Preben Kidmose
Cardiovascular Instrumentation and Devices
Associate professors Peter Johansen
Integrated Nanoelectronics
Associate professor Farshad Moradi
Wireless Transceivers
Professor Domenico Zito

6. Research area - Photonics
SPICE - Spintronic-Photonic Integrated Circuit platform for novel Electronics
New spintronic-photonic memory
chip demonstrator with 3 orders of
magnitude higher write speed and
2 orders of magnitude lower Energy
consumption than state-of-the-art
spintronic memory echnologies.
H2020 FET-OPEN – 3.4 Mio EUR
– Coordinator AU (Photonic Integrated Circuits & Integrated Nanoelectronics)
Proof of concept: an optically switched 8-bit memory with write efficiency of 600 fJ per bit
Research and develop technologies based on the generation, manipulation, and detection of light
Lasers, modulators, and photodetectors, in free space, in a fiber-optic system, or integrated on an optical chip
Research groups
AUFF – 2.5 Mio DKK
Individual grant
THz Photonics Lab - Terahertz Imaging for Solar Cell Materials
THz technology is ideal for studying electrons in semiconductors such as integrated circuits and solar cells.
General problem with conventional THz technology is that the diffraction-limit consequences that only a limited spatial resolution can be obtained which is typically on the order of few hundred microns
Addressing this by building up a multimodal THz imaging platform offering both functional imaging and
an improved spatial
resolution on the order
of 1 µm. .
Optical Sensors
Professor Martin Kristensen
Photonic Integrated Circuits
Associate professor Martijn Heck
Terahertz Photonics
Assistant professor Pernille Pedersen

7. Research area - Signal processing
RoboWeedMaps – The aim is to make everyday life easier for farmers, so that the computer itself finds where the weeds are located, what type they are, and which type of herbicide should be used at precisely that spot in the field. The computer will thus control the dosage when farmers are spraying their fields, and even regulate different types of herbicides and dosages depending on the type of weed – an important part of the future smart farming.
InnoFD – 34 Mio DKK
– Partners Agro Intelligence, I-GIS, IPM Consult, Danfoil A/S, Datalogisk A/)
Research in topics of machine learning, pattern recognition, control signal generation, data mining etc.
Applications in several fields, including computer vision, autonomous systems, precision agricultural, geophysical methods, and computational finance
Research groups
IFD– 15 mio DKK
– Partners AU Dept. Geoscience, SkyTem
We participated with research on new signal processing strategies for an all-digital TEM receiver system
Airtech4water – a helicopter-borne antenna system, scientists can identify underground water resources, even in areas where the subsurface is very complex.
The technology makes it possible to map the subsurface and its conductivity, thereby identifying water resources.
Computer Vision and Biosystem Signal Processing Docent Henrik Karstoft and Sr. researcher Rasmus Jørgensen
Data-Driven Analytics
Associate professor Alexandros Iosifidis
Geophysics Instrumentation and Signal Processing
Associate professor Jakob Larsen

8. Research area - Control and Automation
AIR lab - Artificial Intelligence in Robotics Lab
The Artificial Intelligence in Robotics (AiR) Lab is a fascinating environment with 15x15x4.5m flight arena
Air Lab allows us to test next-generation ground and flying robots for a variety of applications, including but not limited to tracking control, aerial manipulation and formation flight. AUST – 5 Mio DKK
Equipped with 12 Vicon V8 tracking cameras, capable of tracking multiple flying objects in 6 degrees of freedom with a range of millimeter accuracy.
Build next-generation smart systems
Research in control theory, modelling, operations management, adaptive and intelligent semi-autonomous and autonomous systems
Application examples are autonomous ground and aerial systems for smart farming systems
Research groups
EU Framework Programme for Research and Innovation – 35 Mio EUR
– Partners 73
Internet of Food & Farm 2020
Large Scale Pilots H2020 aims to deploy IoT solutions in European agriculture through integration of advanced IoT technologies across the value chain, demonstration of multiple IoT applications at scale and in a usage context
Artificial Intelligence in Robotics
Associate professor Erdal Kayacan
Operations Management
Senior researchers Claus Sørensen, Michael Nørremark, Allan Jensen, Erik Kristensen
Social Robots
Assistant professor Nicolas Guerrero

9. Research area - Communications and Networks
SCALE-IoT – Scalable Systems for Massive IoT Content
Danish Council for Independent Research DFF Sapere Aude – 5.9 Mio DKK
– Individual grant
A dramatic reduction in the carbon footprint of networking and Cloud systems because we will require ten times less infrastructure to store data due to the results of the project.
Igniting a revolution in networks and storage to cope with the Internet of Things: A theory for Cloud-scale compression 
Advanced topics in cutting-edge wireless communications and network technology
Founded on a strong theoretical base
Research and development of secure, efficient, and cost-effective networks for 5G, future internet, IoT, as well as personal communication services
Research groups
Innovation Fund Denmark – 10 Mio DKK
– Partners 2operate and GomSpace
Create a new platform that can monitor hundreds of small satellites in a single mega constellation
MegaMan - Mega-Constellations Services Management
Satellite communication technology to support constellation of hundreds of low-altitude tiny satellites (about 1,000 km) such creating better signal, cheaper and more efficient than current giant satellites
Networks and Analytics
Associate professor Rune H. Jacobsen
Network Computing, Communications and Storage
Associate professors Daniel Lucani and Qi Zhang
Cryptography for Networks and Systems
Assistant professor Diego Aranha
AU Cube-sat Delphi-1

10. Research area - Software and Computing Systems
Intelligent Software, Healing Environments. An AI-based system for health and safety constraint checking in large public buildings
In this project we will develop new artificial intelligence-based Computer-Aided Architecture Design (CAAD) tools, with real-world impact, for analysing the health and safety of public buildings (risk identification, assessment, mitigation). These tools will incorporate concepts of people, perception and behaviour into the building model itself within the CAAD tool, at a fundamental level.
DFF (FTP1) – 2.4 Mio DKK
Research and innovation activities focus on theories, methods, principles, and technologies spanning a wide range of abstractions of dependable software and computing systems
Appl. integrated tools for model-based design of Cyber-Physical Systems, formal modeling and verification, and computationally efficient algorithms for pattern recognition
Research groups
Donation from PDJ foundation – 12.5 Mio DKK
– Coordinated by ENG ECE
AARHUS UNIVERSITY CENTRE FOR DIGITAL TWINS
The overall goal of the Aarhus University Centre for Digital Twins is to understand how to leverage existing engineering multi-models for the construction of digital twins. This entails improving the SoTA in co-simulation algorithms, understanding which multi-models are adequate for digital twin construction, and what kind of faults can be detected/diagnosed.
Applied Formal Methods
Associate professor Stefan Hallerstede and Assistant professor Jalil Boudjadar
Cyber-Physical Systems
Professor Peter Larsen and Assistant professor Carl Schultz
Signal Processing and Distributed Computing Associate professors Christian Pedersen and Stefan Wagner

11. ECE Research labs Deep Tech Hub AIR lab CAVE lab Neurotechnology lab
Computer Vision lab
Neuro Technology lab
ICE lab -2012
Photonics lab
AIR lab
Agile Cloud Computing lab
NAN lab
Wireless Transceiver lab – 2019
Printing Electronics lab – In preparation ……
CAVE lab
Neurotechnology lab
Photonics lab
Agile Cloud Computing lab
ICE lab
Wireless Transceiver lab