Department of Electrical Engineering and Automation
Department of Electrical Engineering and Automation
The Department of Electrical Engineering and Automation, in short EEA, is an ecosystem where scientists and engineers from different fields of microsystems, electrical engineering and automation work together to solve the most challenging scientific problems in the fields of energy and environment, as well as health and wellbeing.
We offer excellent education and top-quality research conditions.
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.
Our research and innovation efforts on industrial and power electronics are taking place at three complementary levels: algorithms, methods, and applications.
Advancing research in the interdisciplinary field of electromechanics at three different aspects: theoretical, numerical, and experimental.
Professor Erkki Ikonen
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).
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
Lighting research group’s fundamental goal is to advance the research and education of illumination engineering and electrical building services.
The aim of the group is to advance research and teaching within smart buildings.
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.
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.
The research interest of the Nonlinear Systems and Control group lies in the intersection of Control theory and Machine Learning: We aim to synergistically combine tools from nonlinear systems, stability theory, robust & optimal control along with machine learning and optimization techniques, to create systems with provable guarantees on safety and performance.
The cyber-physical systems group develops novel machine learning and control methods for networked multi-agent systems.
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.
The group's research focuses on heavy duty semiautonomous machines and autonomous mobile robotics, mainly in agriculture and forestry.
The group's research focuses on the engineering of software-intensive automation systems.
Intelligent Robotics group performs research in robotics, computer vision and machine learning.
The robotic instruments group develops miniaturized robotics and fine objects manipulation technologies.
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.
The Mobile Robotics research group is led by Assistant Professor Tomasz Kucner.
We are now witnessing an explosion in networked systems: everything is connected and massive amounts of devices are required to be coordinated.
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.
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 (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.
The group develops computational methods for multi-physics modelling of the human body.
Microsystems technology is a truly multidisciplinary research area. It is based on physical and analytical chemistry, biology, microelectronics, materials science, physics and biomedical technology.
Research of the group focuses on sensor informatics, adaptive signal processing, data fusion systems, and machine learning (including AI), 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.
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.
The Master’s Programme in Automation and Electrical Engineering prepares its graduates to perform in the intersection between hardware and software, ranging from the fields of Electrical Engineering and Energy sectors to Biomedical Engineering, Control Engineering and Robotics. Drawing from extensive research and fundamental theories in mathematical and natural sciences, the programme focuses on the applicable side of technologies, including topics like Autonomous Systems, Health Technology, Smart Grids and Renewable Energy Solutions.
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!
Professors and Lecturers
Where to find us
Otakaari 3 & Rakentajanaukio 2
Open for members 24/7.
The Aalto Factory of the Future is an infrastructure to support innovation in future industrial automation, industry 4.0 & 5.0 and beyond. It allows test and trials of advanced technologies, such as future wireless communication (5G / Wifi6 and beyond) in industry.