Research outputs in computer science (external link)
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Research in Computer Science
The Department of Computer Science contributes broadly to modern computer science. All our 14 research areas emphasize interdisciplinarity, and they collaborate with each other, as well as with a wider research and business community outside of Aalto.
Algorithms and Theoretical Computer Science
The fundamental methods and mathematics of computation: the design of efficient algorithms, models and frameworks for computing, and the resource requirements of computational tasks.
People
Chris Brzuska, Parinya Chalermsook, Corinna Coupette, Tommi Junttila, Petteri Kaski, Barbara Keller, Sándor Kisfaludi-Bak, Russell W.F.Lai, Pekka Orponen, Alexandru Paler, Jussi Rintanen, Jukka Suomela, Jara Uitto.
Theoretical Computer Science
Our faculty works on various areas of theoretical computer science and its applications to algorithms engineering and other sciences such as DNA computation.
Distributed Algorithms (external link)
Our current research focuses on the foundations of distributed computing, the key research question is related to the concept of locality in the context large computer networks.
Natural Computation (external link)
The group seeks to understand, model, and program naturally occurring or nature-inspired self-organising processes.
Artificial Intelligence and Machine Learning
Research contributes both to the fundamentals of AI across its many subfields, as well as to the accelerating practical impact AI has on businesses and societies.
The Department of Computer Science is a key player in the Finnish Center for Artificial Intelligence FCAI, a major ecosystem of academic, private and public sector partners.
People
Corinna Coupette, Stephane Deny, Vikas Garg, Eero Hyvönen, Wilhelmiina Hämäläinen, Alex Jung, Juho Kannala, Petteri Kaski, Samuel Kaski, Jorma Laaksonen, Jaakko Lehtinen, Janne Lindqvist, Riku Linna, Harri Lähdesmäki, Pekka Marttinen, Jussi Rintanen, Juho Rousu, Arno Solin, Jukka Suomela, Linh Truong, Aki Vehtari, and Bo Zhao.
Research groups
Artificial Intelligence and Software Systems (AISS)
Computing technologies for designing, building and managing intelligent systems.
Machine Learning for Big Data
Machine learning models and methods for big data over networks
Probabilistic Machine Learning Group (external link)
We develop new methods for probabilistic modeling, Bayesian inference and machine learning. Our current focuses are in particular learning from multiple data sources, Bayesian model assessment and selection, approximate inference and information visualization.
Semantic Computing (SeCo) (external link)
Research on semantic technologies, such as the Semantic Web and intelligent web services.
Complex Systems
Research area studies diverse systems from social networks to the human brain and from cities to the human immune system, applying the tools of network science, stochastic processes, and nonlinear dynamics.
People
Corinna Coupette, Petter Holme, Barbara Keller, Mikko Kivelä, Maarit Korpi-Lagg, Riku Linna, Jari Saramäki.
Research groups
Complex Systems
Complex systems are found at all scales in nature, from the complex machinery operating inside our cells to the human brain, from human sociality to the networked social organization.
Digital Health and Wellbeing
Our mission to leverage data-driven methods for meaningful healthcare advancements and a deeper understanding of the social fabric that influences our wellbeing.
Computational Life Sciences
The research area covers the multi-disciplinary activities on computational modelling, data analysis and design of biological systems. The field focuses on the development of original computational methods and their application in collaboration with leading national and international experts in different branches of life sciences.
People
Stephane Deny, Wilhelmiina Hämäläinen, Samuel Kaski, Barbara Keller, Harri Lähdesmäki, Pekka Marttinen, Pekka Orponen, Juho Rousu, Jari Saramäki, Aki Vehtari.
Research groups
Computational Systems Biology (external link)
Our research group focuses on developing methods for high-throughput bioinformatics, computational biomedicine, synthetic biology and probabilistic modeling.
Kernel Methods, Pattern Analysis and Computational Metabolomics (KEPACO) (external link)
The KEPACO group develops machine learning methods, models and tools for data science. Applications of interest include metabolomics, biomedicine, pharmacology and synthetic biology.
Computing education research and educational technology
Computing education research (CER) contributes scientific knowledge about the learning and teaching of computer programming and other areas of computing education; develops software tools, pedagogies, and theoretical models to help computing students and teachers; and evaluates such tools, pedagogies, and models empirically.
People
Lassi Haaranen, Arto Hellas, Wilhelmiina Hämäläinen, Ari Korhonen, Juho Leinonen, Lauri Malmi, Kerttu Pollari-Malmi, Nitin Sawhney, Otto Seppälä, Juha Sorva.
Research groups
LeTech - Learning + Technology (external link)
The Learning + Technology Group focuses on computing education, educational technology and software visualization. We adopt a research perspective on learning and teaching that allows us to improve education through better educational technologies and teaching methods
Computing Systems
Computing Systems conducts interdisciplinary research into the infrastructure and systems that support such novel technology paradigms. The research ranges from theoretical, such as distributed systems, distributed system architectures and distributed algorithms to applied such as IoT, Web Services, Analytics, Ubiquitous Computing, Systems for Machine Learning and Distributed Multimedia systems.
People
Mario Di Francesco, Vesa Hirvisalo, Linh Truong, Petri Vuorimaa, Antti Ylä-Jääski, Bo Zhao.
Research groups
Distributed and Mobile Computing
Experiment-driven systems research analyzing, building, and optimizing distributed mobile computing systems and services.
Digital Ethics, Society and Policy
Digital Ethics, Society and Policy (Digital-ESP) brings together diverse researchers, scholars and practitioners engaging at the intersection of technology, social science and policy concerns in a societal context. From a Computer Science perspective this is a crucial area for critically interrogating the ethics and values embedded in technology, the interplay with society, and the role of policy-making to better understand and mediate positive or adverse impacts.
People
Corinna Coupette, Marjo Kauppinen, Juhi Kulshrestha, Casper Lassenius, Vili Lehdonvirta, Marko Nieminen, Risto Sarvas, Nitin Sawhney, Marko Turpeinen, Johanna Viitanen, Johanna Ylipulli.
Research groups
CRitical AI and Crisis Interrogatives (CRAI-CIS) (external link)
crai-cis.aalto.fi
Engineering Psychology
Research area brings together behavioral scientists, engineers, and computer scientists to explore real world problems. The research area tackles questions how human behavior and perception shapes the use and impact of computing systems, services and engineering, and vice versa.
People
Talayeh Aledavood, Verena Distler, Mikko Kivelä, Sari Kujala, Janne Lindqvist, Robin Welsch.
Research groups
Engineering Psychology
Understanding humans and technology
Human-Computer Interaction and Design
Research area examining the intersection of computing, interaction technologies and human-centred design research. HCID engages transdisciplinary approaches to conducting critical research, design, development and evaluation of current and novel technologies, behaviors, processes, models, practices and experiences among human, artificial and non-human entities, while examining the impacts on people, society and ecology. It draws from emerging research, scholarship and practice across disciplines including computer science (computation, software engineering, machine learning, AI, interaction design), cognitive science, psychology, sociology, anthropology, media, arts, design, learning/education, ethics, and public policy, among others.
People
Verena Distler, Fabian Fagerholm, Perttu Hämäläinen, Sari Kujala, Juhi Kulshtestha, Jorma Laaksonen, Janne Lindqvist, Lauri Malmi, Marko Nieminen, Mika P.Nieminen, Nitin Sawhney, Johanna Viitanen, Robin Welsch, Johanna Ylipulli
Affiliated
Andres Lucero, Antti Oulasvirta, Esko Penttinen, Virpi Roto, Giulio Jacucci.
Research groups
CRitical AI and Crisis Interrogatives (CRAI-CIS) (external link)
crai-cis.aalto.fi
Human-centred health informatics (HCHI)
HCHI research group
Usable and accessible eHealth services for everyone
We are a research group focusing on usability and accessibility of eHealth services.
Large-scale Computing and Data Analysis
The area focuses on novel methods, techniques, algorithms, and tools both for computing with large-scale distributed/parallel systems, and for big data analysis and management. Another focus is on identifying, optimizing, engineering, and verifying computationally challenging parts of software systems, dealing with huge amounts of data and computing resources, used in various application domains.
People
Maarit Korpi-Lagg, Bo Zhao
Research groups
Astroinformatics
The group develops and utilises high-performance computing tools for simulating and analysing data from complex (astro)physical systems, such as turbulent fluids, the Sun, interstellar matter in galaxies.
Quantum Software and Algorithms
Quantum computing deploys the phenomena of quantum mechanics to solve complex problems that even the most powerful supercomputers cannot execute. This interdisciplinary research area is focused to achieve large-scale quantum computing from the software perspective. The main goal is to support the execution of quantum algorithms with a practical advantage.
People
Vikas Garg, Petteri Kaski, Alexandru Paler
InstituteQ - The Finnish Quantum Institute (external link)
InstituteQ coordinates quantum research, education, and business in Finland
Security and Privacy
The goal of this research area are 1) to create new technologies, designs, analysis methods for the development of secure and private computing and communication systems, and 2) advance the fundamental scientific knowledge in security engineering, including human factors.
These new technologies aim either to deter, prevent or detect malicious attacks and they should be, at the same time, secure, privacy-preserving, easy to use, and inexpensive to deploy. As is typical for security research, our results also include the discovery of novel attacks and previously unknown classes of vulnerabilities in existing systems.
People
Tuomas Aura, Chris Brzuska, Verena Distler, Philip Ginzboorg, Lachlan Gunn, Russell W.F.Lai, Janne Lindqvist, Sanna Suoranta
Research groups
Cryptography Group (external link)
research.cs.aalto.fi/crypto
Secure Systems Research Group (external link)
The goal of the Secure Systems research group is to create new technologies and design and analysis methods for the development of secure computing and communication systems.
Software and Service Engineering
We study means for designing, developing, and operating software systems and digital services. Our work covers strategic, managerial, and governance issues in organizations, considering society and the lives of people using digital solutions.
We conduct research on complex software-related challenges in industry, public organizations, NGOs, user communities, and society at large, collaborating closely with diverse stakeholders.
Our work is transdisciplinary, drawing from computer science, engineering, design, business, law, and psychology.
People
Fabian Fagerholm, Marjo Kauppinen, Sari Kujala, Casper Lassenius, Marko Nieminen, Mika P.Nieminen, Jari-Pekka Vanhanen, Johanna Viitanen
Research groups
Human-centred health informatics (HCHI)
HCHI research group
PREAGO Research Group
The Product Requirements and Architecture Research Group (Preago) is specialized in high quality research of topics related to requirements engineering, software architectures and variability.
Usable and accessible eHealth services for everyone
We are a research group focusing on usability and accessibility of eHealth services.
Visual Computing
Visual computing studies the creation and understanding of images, shapes, and three-dimensional spaces by computational means. As we seek to increase our understanding of not just how to create and analyze images and sounds, but also how we humans perceive, react to, and interact with them, research in visual computing is of an increasingly interdisciplinary nature.
People
Perttu Hämäläinen, Juho Kannala, Jorma Laaksonen, Jaakko Lehtinen, Janne Lindqvist, Lauri Savioja, Arno Solin
Research groups
Game Research (external link)
Games are a multidisciplinary field, and our research interests include physics simulation, procedural animation, control optimization, AI, full-body human-computer interaction, virtual and augmented realities, games and learning.
Department of Computer Science is part of School of Science in Aalto University.
Department of Computer Science
We are an internationally-oriented community and home to world-class research in modern computer science.
School of Science
Science for tomorrow’s technology, innovations and businesses
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