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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 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 electromechanics advancing research in the interdisciplinary field of electromechanics at three different aspects theoretical numerical and experimental metrology research institute professor erkki ikonen 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 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 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 nonlinear systems and control 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 cyber physical systems the cyber physical systems group develops novel machine learning and control methods for networked multi agent systems 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 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 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 is a truly multidisciplinary research area it is based on physical and analytical chemistry biology microelectronics materials science physics and biomedical technology sensor informatics and medical 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 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 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 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 latest news see all awards and recognition research art published 27 3 2024 aalto open science award third place awardee 2023 intelligent robotics research group with the robotic manipulation of deformable objects project we interviewed the intelligent robotics research group with the robotic manipulation of deformable objects project 3rd place awardees of the first aalto open science award awards and recognition university published 18 3 2024 celebrating excellence 2023 time to acknowledge and celebrate research achievements and the best dissertations on wednesday march 13th the school of electrical engineering gathered around to celebrate the most significant achievements and the best dissertations in 2023 studies published 6 3 2024 nominate your choice for the award for quality teaching nominate your choice for the award for quality teaching awards and recognition research art published 1 3 2024 aalto open science award winner 2023 aalto materials digitalization platform amad we interviewed the amad team winners of the first aalto open science award see all events see all 3 4 lectures and seminars networking 3 4 2024 17 00 18 30 bigger shoes weekly startup events external link bringing the biggest and boldest entrepreneurs to you so you can learn from their successes and failures 3 4 lectures and seminars 3 4 2024 17 00 19 00 ai generated it who owns it aalto university and university of helsinki organise a hybrid event about artificial intelligence and copyright issues 5 4 public defences 5 4 2024 12 00 15 00 public defence in power systems and high voltage engineering m sc david sevsek advanced earth fault mitigation using virtual air gap reactors title of thesis 9 4 lectures and seminars staff trainings support for teams training to support research 9 4 2024 13 00 14 30 exploring ai analysis of qualitative data apr 9 2024 learn about the possibilities of ai in analysing qualitative data with staff scientist data agent dr enrico glerean see all head of department jorma kyyrä professori email protected 358505639146 professors and lecturers jorma kyyrä professori email protected 358505639146 ville kyrki professor t410 dept electrical engineering and automation email protected 358504082035 marko hinkkanen professori associate professor t410 dept electrical engineering and automation email protected tomasz kucner assistant professor email protected 358505764427 ilkka laakso associate professor email protected 358504658133 tomi laurila professor email protected 358503414375 matti lehtonen professori email protected 358504114579 joni pajarinen assistant professor email protected 358503094771 mervi paulasto kröckel professor email protected 358505113197 mahdi pourakbari kasmaei assistant professor email protected 358504460840 edris pouresmaeil professor of practice email protected simo särkkä associate professor email protected 358505124393 arto visala professori email protected 358505755936 ivan vujaklija assistant professor t410 dept electrical engineering and automation email protected valeriy vyatkin professori email protected 358505780001 quan zhou professor email protected 358408550311 heikki ihasalo professor of practice email protected 358408209623 jaakko ketomäki professor of practice email protected timo oksanen visiting professor email protected 358503160970 pekka forsman yliopistonlehtori email protected 358505669389 robert millar senior university lecturer t410 dept electrical engineering and automation email protected paulo pinho senior university lecturer email protected 358503160992 seppo sierla yliopistonlehtori email protected 358504090312 markus turunen yliopistonlehtori email protected 358505348928 vesa vuorinen principal university lecturer email protected 358505922899 anouar belahcen professor email protected 358504602366 dominik baumann assistant professor email protected 358504773899 zhengmao li assistant professor email protected 358504413955 shankar deka assistant professor department of electrical engineering and automation email protected where to find us maarintie 8 maarintie 8 health technology house otakaari 3 rakentajanaukio 2 micronova tietotie 3 startup hub a grid otakaari 5 open for members 24 7 aalto factory of the future 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 published 4 4 2018 updated 2 1 2024 home department of electrical engineering and automation aalto university p o box 11000 otakaari 1b fi 00076 aalto switchboard 358 9 47001 follow us facebook linkedin x formerly twitter instagram youtube snapchat blogs quicklinks research and artistic outputs library learning centre admissions alumni media it services open university aalto university shop site index latest news events careers contact campus maps contact information ethical channel whistleblowing for students student guide webmail mycourses mystudies sisu together towards a better world support new ideas research work and leadership 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