Institutionen för elektroteknik och automation
Institutionen för elektroteknik och automation
Institutionen för elektroteknik och automation (förkortat EEA) är ett ekosystem där forskare från olika områden av mikrosystem, elektroteknik och automation arbetar tillsammans för att lösa de allra svåraste problemen inom områden som energi och miljö, men även hälsa och välfärd. Vi erbjuder en utmärkt utbildning och forskningsförhållanden av högsta klass.

Research
The Department of Electrical Engineering and Automation (EEA) focuses on three research areas: Power Systems and Energy Conversion, Control, Robotics and Autonomous Systems, and Health Technology.
The department is a major player in Aalto University’s Energy Efficiency Research programme AEF.
Also the Aalto ePowerHub is part of the EEA department.
Power Systems and Energy Conversion
We develop new methods, devices, and systems for substantially increasing the share of renewable energy and improving energy efficiency, focusing on making renewables, energy storage, and digital services the essence of power systems.
Power Electronics
Our research and innovation efforts on industrial and power electronics are taking place at three complementary levels: algorithms, methods, and applications.

Renewable Energies for Power Systems
The mission of the Renewable Energies for Power Systems group is to pursue groundbreaking work in the generation, transmission, distribution, management, and consumption of electricity.

Electric drives
Electric drives play an important role, e.g., in a large number of industrial applications, electric and hybrid vehicles, elevators, and robotics. Electric drives are systems where the electric motors or generators are controlled by power-electronic converters (such as a frequency converter).

Power systems and High Voltage Engineering
The focus areas of research in power systems and high voltage engineering are distribution networks, their system solutions and reliability engineering, power system components´ load capacity and ageing, control and monitoring systems including computer applications, automation and communication solutions, end use analysis and power quality.

Power and Energy Systems
Power and Energy Systems
Illumination engineering
Lighting research group’s fundamental goal is to advance the research and education of illumination engineering and electrical building services.

Smart building technologies and services
The aim of the group is to advance research and teaching within smart buildings.

Computational electromechanics
The research in our group is focused on the numerical modelling of coupled problems that occur in magnetic materials and especially electrical steel sheets used to construct electrical machines. These problems range from energy dissipation in the material to vibrations and noise of electrical machines and devices.

Control, Robotics and Autonomous Systems
In these research groups, we develop generic methodologies and practices focusing on distributed and networked control systems, field robotics, intelligent robotics, robotic instruments, industry automation systems, and automation software for distributed systems.
Distributed and Networked Control Systems
We are now witnessing an explosion in networked systems: everything is connected and massive amounts of devices are required to be coordinated.

Automatic control
The research done by the automatic control group is based on a firm knowledge of system theory, control engineering, simulation methods, optimisation methods, numerical algorithms, and so forth.

Autonomous systems
The group's research focuses on heavy duty semiautonomous machines and autonomous mobile robotics, mainly in agriculture and forestry.

Information Technologies in Industrial Automation
The group's research focuses on the engineering of software-intensive automation systems.

Intelligent Robotics
Intelligent Robotics group performs research in robotics, computer vision and machine learning.

Robotic Instruments
The robotic instruments group develops miniaturized robotics and fine objects manipulation technologies.

Robot Learning
The Aalto Robot Learning (RL) research group operates in the intersection of artificial intelligence and robotics. In particular, we focus on reinforcement learning, robotic manipulation, decision making under partial observability, imitation learning, and decision making in multi-agent systems.

Mobile Robotics
The Mobile Robotics research group is led by Assistant Professor Tomasz Kucner.

Health Technology
We develop technologies for improved and predictive diagnostic tools and efficient therapeutic methods and offer new analytical techniques for basic medical research focusing on making medical solutions that enable personalised treatments, homecare and data driven clinical decisions.
Electronics integration and reliability
The research in the Electronics integration and reliability unit is strongly multidisciplinary by nature. Our knowhow is based on materials science and, especially, on the understanding of interfacial phenomena between materials in heterogeneous systems.

Bionic and Rehabilitation Engineering
Bionic and Rehabilitation Engineering (BaRE) research group investigates engineering techniques for human-machine interfacing in order to support, augment and rehabilitate human motor function. Through advancements in basic physiology, motor control, and biomechanics, we tailor novel biosensing and control approaches, as well as design methodologies in order to push the boundaries of current state-of-the-art bionic limbs, exoskeletons and rehabilitation robots.

Electromagnetics in Health Technology
The group develops computational methods for multi-physics modelling of the human body.

Microsystems Technology
Microsystems technology, as defined by our group, is a truly multidisciplinary research area. It is based on physical and analytical chemistry, biology, microelectronics, materials science and biomedical technology.

Sensor informatics and medical technology
Research of the group focuses to sensor informatics, adaptive signal processing, and data fusion systems especially for medical applications. Other applications include smartphone sensor fusion, robotics, positioning systems, target tracking, biomedical imaging and many other indirectly measured time-varying systems.

Studies
The department offers a Master’s degree programme in the above focus areas and is heavily involved in the teaching and education in other cross-disciplinary programmes as well. Department also participates in the school-wide doctoral education as can be seen in our Doctoral dissertations.
Automation and Electrical Engineering, Master of Science (Technology)
Programmet ger studerandena färdigheter att tillämpa såväl traditionella som nya teknologier på moderna lösningar i olika industrier och roller. Programmet baseras på forskning och grundläggande teorier i matematiska och naturvetenskaper men fokuserar på tillämpning av teknologierna, inklusive ämnen som autonoma system, medicinsk teknik, smarta elnät och förnybara energilösningar. De utexaminerade presterar särskilt väl i gränsområdet mellan hård- och mjukvara, inom områdena elektroteknik, energisektorer, biomedicinsk teknik, reglerteknik och robotik.

Become a doctoral researcher at the School of Electrical Engineering
Doctoral education will prepare you for the most demanding expert positions in your field in the academia, companies and public administration. Start here if you’re interested in doctoral studies!

Nyheter

Igelkotten Robosiili gav Aalto-universitetets teknologer första plats i robottävling
Teknologerna Valentin Rainio och Sakari Harjunpää vid Högskolan för elektroteknik byggde Robosiili (Roboigelkotten) på den populära Elverkstadskursen.
Nu kan du titta på inspelningen från Elektroteknikens dag
Under evenemanget diskuterade vi studierna och karriärmöjligheterna på det elektrotekniska området.
KvarkenSat, den första småsatelliten i Kvarkenregionen, kommer att byggas i samarbete mellan Finland och Sverige
KvarkenSat är en gemensam liten satellit mellan de österbottniska landskapen och Västerbotten, som ska skjutas upp i rymden om drygt ett år.
Studerande kodade en öppen mikroprocessor som företagen kan använda hur de vill
Den nya processorn kan användas till exempel i 6G-transceivers och i krypteringsteknologi. Projektet lockar unga att studera mikroelektronik, ett område där det råder en skriande brist på experter i Finland.Händelser
Prefekt
Professorer och föreläsare






Här hittar du oss
Marvägen 8
(tidigare TUAS-byggnaden) Marvägen 8, Otnäs.

Otsvängen 3
Otsvängen 3 & Byggarplatsen 2

Micronova
Datavägen 3. Öppet: mån-fre 8.00-16.30
