6Genesis: Research teams

Research teams of selected principal investigators 

In the following, we briefly introduce the research teams of the Flagship leader and vice leader, the leader and co-leader of each research strand, and the collaborative projects leader.

Radio Access Technologies, Leader Academy Prof. Matti Latva-aho (Flagship Leader)

The requirements for 5G vary by application, but will include data rates ranging from very-low-rate sensor data to very-high-quality video content delivery, low delay/latency requirements, low energy consumption, and high reliability. All these require different radio access solutions which furthermore depend on the frequency band and available bandwidth used. Our major goal is to investigate and conduct experiments into how the increasing carrier frequency and system bandwidth together with increasing heterogeneity of the required services will impact overall radio access network design. This research question is fundamental to defining design principles where the trade-off between network density, capacity and implementation cost is well understood as a function of frequency, bandwidth and user mobility. Practical design solutions will include 5G waveforms, air interfaces and transceiver algorithms capable of supporting the transmission.
Number of researchers in the team: 2 professors, 3 docents (adj. prof.), 7 post-doctoral researchers, 21 doctoral students.

Ubiquitous Computing, Leaders Prof. Timo Ojala (Flagship Vice Leader), Prof. Jukka Riekki (co-RSL/RS1)

The Center for Ubiquitous Computing conducts research on next generation interactive technologies, including human-computer interaction, modelling human behaviour, augmenting physical spaces, digital fabrication, VR/AR, IoT, and edge computing. The Center has conducted large-scale research on future ubiquitous computing systems and applications in real-world urban settings, which has made a lasting and visible impact on the field of urban computing and the digital urban landscape in Oulu. 
Number of researchers in the team: 2 professors, 5 docents (adj. prof.), 9 post-doctoral researchers, 10 doctoral students.

Network Softwarization, Leader Prof. Mika Ylianttila (RSL/RS1)

Novel network architectures have evolved towards using concepts such as virtualized network functions, software defined networking and edge computing. Network softwarization team is focusing on secure, scalable, software-defined and energy-efficient communications in emerging virtualize networks. Methods include experimental testbeds to study the aspects of performance and energy-efficiency, as well as analytical work regarding secure and scalable network design. Group studies novel application and service scenarios related to emerging 5G networks.
Number of researchers in the team: 1 professor, 2 post-doctoral researchers, 8 doctoral students.

Communications Signal Processing, Leader Prof. Markku Juntti (RSL/RS2)

The requirements for wireless connections and related networked systems get all the time more and more stringent. Systematic optimization framework is needed to perform join design of transceivers and radio access networks (RANs) and other similar systems. The team focuses on the use of optimization methodology and related information and communications theory to develop optimal design and performance benchmarks as well as practically realizable algorithms and their implementations. Both transceiver processing and system or network level radio resource allocation and interference coordination are covered. Furthermore, application aware optimization of the computation or processing (such as mobile edge or fog computing) with true wireless links between the network nodes is under study. Practical design solutions include 5G and 6G transceiver algorithms, architectures and implementations capable of supporting the energy efficient transmission.
Number of researchers in the team: 2 professors, 2 docents (adj. prof.), 4 post-doctoral researchers, 12 doctoral students.

Circuit and Systems, Leader Prof. Juha Kostamovaara (co-RSL/RS2)

CAS team focuses in high-speed analogue and mixed-signal electronic circuit design utilizing CMOS microelectronics technologies, and in optoelectronics. The core technologies mastered are ps accurate time interval measurement techniques and circuits, timing discriminators, optical receivers including single photon detectors and detection techniques, and device technologies for the generation of high-speed and high-energy optical and electromagnetic transients (gain switched laser diodes, solid-state sub-THz emitters). Currently, there are two application fields in research: the development of highly integrated electrical and optical sensor techniques utilizing modern microelectronics, and the development of RF and mm-wave circuits for radio telecommunications. In the sensor development field, one of the research topics is the development of a miniaturized solid-state 3D range imager technology for environment perception in applications such as vehicle control and guidance systems, robot vision, and control of machines, for example. Another topic is the development of time-mode sub-THz imaging techniques using a novel solid-state pulse mode emitter device developed. Yet another topic is the development fluorescence free time-gated Raman spectroscopy techniques based on time-gated single photon detecting techniques. Circuits and Systems research is part of the activities within a Center of Excellence in Laser Scanning research funded by the Academy of Finland (2014-2019). 
Number of researchers in the team: 2 professors, 3 docents (adj.profs.), 1 FiDiPro Fellow, 7 post-doctoral researchers, 8 doctoral students.

Physiological Signal Analysis, Leader Prof. Tapio Seppänen (RSL/RS3)

Physiological Signal Analysis team aims to perform top-level basic, applied and translational research in biomedical engineering. We develop signal and image processing, machine learning and pattern recognition algorithms for various medical data interpretation tasks. The research focuses on analysis of physiological phenomena associated with cardiovascular system, respiratory system, central nervous system and autonomic nervous system, and affective system / emotions. The research is multi-disciplinary and is carried out in collaboration with hospitals and industry partners in Finland and abroad. We use large clinical materials for method development and validation. Large-scale cohorts, digital biobanks and other emerging digital repositories of health data are increasingly important data sources for our research.  Our research addresses future e-health systems where big data analytics combined with sensitive health data offers many opportunities but also challenges concerning, for example, privacy and security. Number of researchers in the team: 1 professor, 2 docents (adj. prof.), 2 post-doctoral researchers, 9 doctoral students

Emotion AI, Leader Assoc. Prof. Guoying Zhao (co-RSL/RS3)

Emotions are a central part of human communication, play an important role in everyday social life, and should thus have a key role in human-computer interactions (HCI). Emotion AI is a branch of artificial intelligence that aims to bring emotional intelligence to AI systems. The team has been doing computer vision research for cutting-edge digital emotion analysis investigation using the continuous, subtle visual cues, e.g., expression and micro-expressions, gesture and micro-gestures and physiological signals, which are acquired by different types of detectors and sensors. The context analysis and multi-modal learning and fusion are under study. The new framework and methodology investigation is toward distributed multimodal multisensory systems that rely on very low latency high bandwidth, which can be expected to be very useful for interpreting different emotions in intelligent interactions, leading to ground-breaking progress in many areas, such as providing basic health information without intrusive sensors and thereby open up exciting possibilities in biometrics and biomedicine for multidisciplinary research.
Number of researchers in the team: 1 professor, 4 post-doctoral researchers, 6 doctoral students and 3 visiting scholars.

RF Engineering, Leader Prof. Aarno Pärssinen (RSL/RS4)

RF Engineering team as separate entity was formed in the beginning of 2015 to address future needs of RF technologies related to communications for 5G and beyond. Research on antennas and propagation has had a longer history at CWC, and new team extended the research to RF transceivers including system concepts, RF architectures and implementations using state-of-the-art integrated circuits and other core technologies. Focus in the team has been mostly on various aspects in RF beamforming at sub-mmW and mmW regimes studying various options to implement hybrid beamforming transceivers and their key components to achieve the stringent performance requirements with optimized solutions for 5G applications. Architectures for large-scale massive MIMO solutions provide a complexity challenge in terms of configurability, large power output required for the range and miniaturized solutions.  In addition, antenna and RF front-ends are studied at GHz range for small wearable devices.
Number of researchers in the team: 1 professors, 1 docent (adj. prof.), 2 post-doctoral researchers, 12 doctoral students.

Microelectronics, Leader Prof. Heli Jantunen (co-RSL/RS4)

Hardware demands increase rapidly especially when we approach especially 6G due to the frequencies and miniaturization level demands. This means systematic but also out-of-the-box research of advanced fabrication and integration techniques of components and materials, some of them with unconventional solutions. The team focuses on application optimized science of high frequency designs (10-100 GHz) utilized in antennas, filters, isolation, building blocks, and integrated multi-devices.  Since large amount of information especially on different structures and materials at these frequencies are mainly unknown, the nano/microscale structures are of interested due to the wavelength. The reliability of miniaturized hardware modules as well as the modeling and characterization of the electrical performance are also seamless research areas. 
Number of researchers in the team: 2 professors, 5 docents (adj. prof.), 12 post-doctoral researchers, 13 doctoral students.

Wireless Systems, Leader Prof. Ari Pouttu (Collaborative Projects Leader)

Practical system design requires mastering many disciplines including RF engineering, baseband processing, airinterfaces, low layer network protocols, etc. Building wireless systems in practice, broadens the scope to involve hardware and software engineering. The role of wireless systems research team is practical design of future systems and demonstrations of those in vertical use cases (currently health, energy, automotive and industry) in practice. The team has been very active in a number of EU funded H2020 projects (currently 3 H2020 projects and one Eureka ITEA project) and will be the main driving force also in 6Genesis to acquire several H2020 5GPPP large scale 5G pilot projects.
Number of researchers in the team: 2 professors, 10 post-doctoral researchers, 15 doctoral students, 7 engineering staff.

6Genesis vision

Last updated: 11.12.2017