Department of Electrical Engineering and Automation

Research and research groups

The Department of Electrical Engineering and Automation (EEA) comprises three clusters: Power and Energy; Control, Robotics and Autonomous Systems; and Sensing and Measurement.
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We are part of the School of Electrical Engineering’s thematic infrastructures Micro-electronics and Digital and Autonomous Systems (MIDAS), Electrical Power and Energy (EPE) and Human-centric Electrical Engineering (HUCE), and we are members of the OtaNano research infrastructure. The department is a key contributor to Aalto University’s Hydrogen Innovation Centre.

Power and Energy

The Power and Energy cluster investigates how energy is converted, transmitted, and integrated across modern energy systems. Our work spans the full range from power semiconductor devices, converters, and machines to large-scale grids and multi-energy systems coupling electricity, heat, and hydrogen. We work across the full range from theoretical foundations to experimental validation, combining physics-based and data-driven modelling with advanced control and optimization, and we maintain a strong culture of open-source tools and reproducible research. Together, we aim to make the energy transition technically feasible and practically achievable. 

Cluster leads

Marko Hinkkanen

Marko Hinkkanen

Professor
T410 Dept. Electrical Engineering and Automation

Research groups

Control, Robotics and Autonomous Systems

In the control, robotics and autonomous systems (CRAS) cluster, we develop control, decision making, and modeling methods that enable both indoor and outdoor autonomous robotics. Application areas include robotic instruments, service, industrial, and field robotics. 

Cluster Leads

Research Groups

Sensing and measurement  

The Sensing and Measurement Cluster brings together researchers working on health technology, measurement science and technology, sensing technologies, signal and data processing, robotics, electromechanics, and AI-driven applications. The cluster spans a broad spectrum from fundamental measurement science to microsystems, biosensing, robotics, bioelectromagnetics, sensor informatics, health intelligence, and instrumentation. Together, the cluster forms an interdisciplinary environment where new sensing technologies, computational methods, intelligent and autonomous systems are developed for applications in healthcare, energy, and industry.

Cluster Leads

Simo Särkkä

Simo Särkkä

Professor
Department of Electrical Engineering and Automation
Ivan Vujaklija

Ivan Vujaklija

Associate Professor
T410 Dept. Electrical Engineering and Automation

Research Groups

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