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Research Areas

The activities of HICT are structured along five research area specific tracks: 

Read more about research at HICT participating units:

Research Area Tracks and HICT supervisors

The doctoral supervisors associated to each HICT research track are listed below. (Note that some of the supervisors have dual affiliations across tracks.)

Explanations of abbreviations:

UH: University of Helsinki, Aalto: Aalto University, CS: Department of Computer Science, COMNET: Department of Communications and Networking, SPA: Department of Signal Processing and Acoustics

Algorithms and Machine Learning (AML)

  • Prof. Arno Solin (Aalto/CS) Aalto University HICT coordinator, machine learning, probabilistic modelling, sensor fusion
  • Prof. Jyrki Kivinen (UH/CS) University of Helsinki HICT coordinator, computational learning theory, online learning
  • Prof. Luigi Acerbi (UH/CS) machine learning, probabilistic inference, computational cognitive neuroscience
  • Prof. Rohit Babbar (Aalto/CS) large-scale learning, extreme multi-label classification, deep learning, optimization
  • Prof. Chris Brzuska (Aalto/CS) cryptography, IT security, verification, theory of computation, discrete mathematics
  • Prof. Parinya Chalermsook (Aalto/CS) approximation algorithms, combinatorial optimisation, discrete mathematics
  • Prof. Vikas Garg (Aalto/CS) artificial intelligence, applications of machine learning in drug discovery, education, finance, energy, Internet of Things (IoT), computer vision, and natural language processing
  • Prof. Dorota Glowacka (UH/CS) interactive information retrieval, machine learning, exploratory search, user modelling
  • Prof. Antti Honkela (UH/CS) machine learning, probabilistic modelling, computational biology, differential privacy
  • Prof. Perttu Hämäläinen (Aalto/CS) games, animation technology, human-computer interaction
  • Prof. Aapo Hyvärinen (UH/CS) computational neuroscience, machine learning, neuroinformatics
  • Prof. Alexander Ilin (Aalto/CS) deep learning, reinforcement learning, natural language understanding
  • Prof. Alexander Jung (Aalto/CS) sparse models, complexity constrained learning, compressed sensing
  • Prof. Matti Järvisalo (UH/CS) optimization, constraints, automated reasoning, knowledge representation, graphical models
  • Prof. Pekka Marttinen (Aalto CS) machine learning, computational health, probabilistic modelling
  • Prof. Michael Mathioudakis (UH/CS) data analytics, network analysis, algorithmic fairness, computational social science
  • Prof. Veli Mäkinen (UH/CS) algorithmic bioinformatics, compressed data structures
  • Prof. Petri Myllymäki (UH/CS) machine learning, probabilistic modelling, constraint reasoning and optimization
  • Prof. Jukka K. Nurminen (UH/CS) tools and techniques for developing data-intensive software systems, practice of AI, mobile systems, energy-efficiency
  • Prof. Pekka Orponen (Aalto/CS) stochastic and online algorithms, algorithmics of self-organisation, natural computation

Life Science Informatics (LSI)

  • Prof. Harri Lähdesmäki (Aalto/CS) Aalto University HICT coordinator, bioinformatics, probabilistic modelling, systems biology
  • Prof. Mikko Koivisto (UH/CS) University of Helsinki HICT coordinator, algorithms, graphical models
  • Prof. Luigi Acerbi (UH/CS) machine learning, probabilistic inference, computational cognitive neuroscience
  • Prof. Antti Honkela (UH/CS) machine learning, probabilistic modelling, computational biology, differential privacy
  • Prof. Aapo Hyvärinen (UH/CS) computational neuroscience, machine learning, neuroinformatics

Networks, Networked Systems and Services (NNSS)

  • Prof. Linh Truong (Aalto/CS) Aalto University HICT coordinator, software systems, distributed systems, services computing, cloud computing, IoT, big data, analytics
  • Prof. Jussi Kangasharju (UH/CS) opportunistic networks, information-centric networking, cloud computing
  • Prof. Raimo Kantola (Aalto/COMNET) customer edge switching (generalization of NATs), trust management for the Internet including privacy preservation, software defined networking applications for mobile networks
  • Prof. Mikko Kivelä (Aalto/CS) complex systems, network science, graph data and models, social networks, multilayer networks
  • Prof. Janne Lindqvist (Aalto/CS) security and privacy, human-computer interaction, machine learning
  • Prof. Jukka Manner (Aalto/COMNET) mobile network and device data analytics, security of SDN-based networks

Software and Service Engineering and Systems (SSES)

  • Prof. Jiaheng Lu (UH/CS) database systems, big data management, data analytics and data integration
  • Prof. Lauri Malmi (Aalto/CS) computing education research, educational technology, online learning
  • Prof. Jukka K. Nurminen (UH/CS) tools and techniques for developing data-intensive software systems, practice of AI, mobile systems, energy-efficiency
  • Prof. Alexandru Paler (Aalto/CS) quantum computing, quantum software
  • Prof. Hong-Linh Truong (Aalto/CS) software systems, distributed systems, services computing, cloud computing, IoT, big data, analytics

User Centered and Creative Technologies (UCCT)

  • Prof. Giulio Jacucci (UH/CS) University of Helsinki HICT coordinator, human computer interaction, ubiquitous computing, exploratory search
  • Prof. Pan Hui (UH/CS) mobile computing, data science, social networks, augmented reality
  • Prof. Eero Hyvönen (Aalto/CS) semantic web, linked open data, artificial intelligence
  • Prof. Marjo Kauppinen (Aalto/CS) requirements engineering, software development, software engineering
  • Prof. Juho Kannala (Aalto/CS) computer vision, machine learning
  • Prof. Mikko Kurimo (Aalto/SPA) machine learning for speech and language processing, conversational spoken and multimodal interaction
  • Prof. Lauri Malmi(Aalto/CS) computing education research, educational technology, online learning
  • Prof. Elisa Mekler (Aalto/CS) user experience, games, gamification
  • Prof. Marko Nieminen (Aalto/CS) usability and user interfaces
  • Prof. Antti Oulasvirta (Aalto/COMNET) computational design and interaction; especially applications of optimization, cognitive and biomechanical modeling, machine learning in interaction techniques, graphical user interfaces, visualizations