Research outputs in computer science (external link)
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The fundamental methods and mathematics of computation: the design of efficient algorithms, models and frameworks for computing, and the resource requirements of computational tasks.
Chris Brzuska, 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
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.
Qi Chen, Corinna Coupette, Francesco Croce, Stephane Deny, Azade Farshad, Vikas Garg, Christian Guckelsberger, 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, Sebastian Szyller, Linh Truong, Aki Vehtari, Bo Zhao
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.
Corinna Coupette, Petter Holme, Barbara Keller, Mikko Kivelä, Maarit Korpi-Lagg, Riku Linna, Jari Saramäki
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.
Stephane Deny, Wilhelmiina Hämäläinen, Samuel Kaski, Barbara Keller, Harri Lähdesmäki, Pekka Marttinen, Pekka Orponen, Juho Rousu, Jari Saramäki, Aki Vehtari
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.
Lassi Haaranen, Arto Hellas, Wilhelmiina Hämäläinen, Ari Korhonen, Juho Leinonen, Lauri Malmi, Kerttu Pollari-Malmi, Otto Seppälä, Juha Sorva
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.
Mario Di Francesco, Vesa Hirvisalo, Linh Truong, Petri Vuorimaa, Antti Ylä-Jääski, Bo Zhao
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.
Corinna Coupette, Marjo Kauppinen, Juhi Kulshrestha, Casper Lassenius, Vili Lehdonvirta, Marko Nieminen, Risto Sarvas, Marko Turpeinen, Johanna Viitanen, Johanna Ylipulli
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.
Talayeh Aledavood, Verena Distler, Christian Guckelsberger, Mikko Kivelä, Sari Kujala, Janne Lindqvist, Robin Welsch
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.
Verena Distler, Fabian Fagerholm, Christian Guckelsberger, Perttu Hämäläinen, Sari Kujala, Juhi Kulshtestha, Jorma Laaksonen, Juho Leinonen, Janne Lindqvist, Lauri Malmi, Marko Nieminen, Mika P.Nieminen, Johanna Viitanen, Robin Welsch, Deepika Yadav
Andres Lucero, Antti Oulasvirta, Esko Penttinen, Virpi Roto, Giulio Jacucci
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.
Wilhelmiina Hämäläinen, Alex Jung, Maarit Korpi-Lagg, Jorma Laaksonen, Riku Linna, Juho Rousu, Linh Truong, Bo Zhao
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.
Vikas Garg, Petteri Kaski, Alexandru Paler
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.
Tuomas Aura, Chris Brzuska, Verena Distler, Philip Ginzboorg, Lachlan Gunn, Russell W.F.Lai, Janne Lindqvist, Sanna Suoranta, Sebastian Szyller
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.
Fabian Fagerholm, Marjo Kauppinen, Sari Kujala, Casper Lassenius, Marko Nieminen, Mika P.Nieminen, Haoye Tian, Jari-Pekka Vanhanen, Johanna Viitanen
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.
Perttu Hämäläinen, Juho Kannala, Jorma Laaksonen, Jaakko Lehtinen, Janne Lindqvist, Lauri Savioja, Arno Solin
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Department of Computer Science is part of School of Science in Aalto University.
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