The research areas of the team of Prof. Kolehmainen are computational inverse problems and uncertainty quantification. The main part of the research is on development of mathematical models and computational inverse problems methods for image reconstruction in medical tomography imaging techniques such as X-ray tomography, diffuse tomography and MRI. The research team actively collaborates with system experts and clinical specialists on development of novel imaging techniques, which typically involve fusion of different types of imaging data and lead to large scale 3D or 4D imaging with sparse measurement data
Ville Paakinaho ([email protected])
I serve as an Assistant Professor and research group leader at the Institute of Biomedicine, University of Eastern Finland. Our research aims to decipher how interactions between nuclear proteins influence gene regulation in cancer, and how these alterations contribute to the development of drug resistance. In addition, we investigate the activity, interactions, and dysregulation of these proteins in other disease contexts. More detailed description of my research can be found at our research group page (Paakinaho lab).
Ville Valkonen ([email protected])
I am a clinical lecturer in clinical pharmacy, and my research focuses on medication safety and clinical pharmacy.
Virpi Jylhä ([email protected])
Senior Lecturer at Health and Human Services Informatics Master’ Degree Program
Postdoctoral researcher at PROSHADE research project
Trainer of JBI Comprehensive Systematic Review Training Program
Virpi Kaisto ([email protected])
I hold a Doctorate in Social Sciences (DSocSci), Human Geography. My doctoral study explored the Finnish-Russian borderland as a lived space during the period from 2013 to 2018. The research examined how residents on both sides of the border imagined and used their local environment in a period of relatively free cross-border mobility. My previous studies have also focused on the everyday life of people living in the Finnish-Russian borderland and on territorial development in border areas.
My last research project was CHANEBO (Challenges at EU’s North-East External Borders). It analysed the impacts of Russia’s war in Ukraine war and the suspension of the CBC ENI programs on the north-eastern external border regions of the EU. It developed policy recommendations on how EU cohesion policy can better support the resilience and sustainable development of its external border regions in the face of future crises.
Virpi Kaukio ([email protected])
Virpi Kaukio is a researcher in environmental aesthetics, who in her PhD thesis (UEF 2013) examined the complex relationship between the environmental experiences offered by art and fiction and the environments experienced physically on site. More recently, Kaukio has been studying intangible cultural heritage and the changes in the use of mires and the cultural relationship with nature (Mire Trend research project, UEF, Kone Foundation, 2020-2023). Kaukio became interested in museums as a platform for experiential publishing during her work experience (Riihisaari – Savonlinna Museum 2019) and while studying museology (Jyväskylä Open University 2023), when she drafted sketches on the possibilities of a multisensory museum.
This project of museum as a platform for experiential publishing of research explores ways to make visible information or research processes that are challenging or impossible to publish through traditional scientific publishing channels. The study examines experiential or so-called tacit knowledge, which is difficult to verbalize and conceptualize, from the perspective of aesthetics and sensory research.
The central idea behind publishing differently is to make information more equally accessible and pluralistic. For the museum, new ways provide a means to contribute to the social debate. For researchers, the museum can offer new channels for publishing research. Because a museum operates spatially and three-dimensionally, activating all the senses, its means of presentation are more responsive to individual and community experience and live cultural heritage as a process.
The project is carried out by Virpi Kaukio at the University of Eastern Finland and funded by the Kone Foundation 2024-2025. The research will be conducted through observation and interviews with researchers, artists, museum professionals and other people involved in experimental activities in museums. The materials will be analyzed using environmental aesthetics, ethnographic and neo-materialist research methods, and art and cultural studies perspectives. In addition to scientific articles, the project will produce practical guidelines for those planning to publish experimental research in a museum.
Virpi Sorsa ([email protected])
I was awarded PhD degree, with management and organization as my major subject 18th of December 2012, the 5-year assistant professorship in 2015, and invited to work as the Head of subject and Vice Head of Department in 2016-2018 at Hanken. In 2021 I was hired to manage an Academy of Finland funded project Executive Education as Strategy Practice at Aalto University and JSBE and continued as a University Lecturer in Management in JSBE before joining UEF Business School. My current research focus on the development of business networks in Finland through executive education.
My earlier published work is based on two extensive ethnographic research projects in city organizations. I have also built other joined research projects. The results are published or are in publication process in high quality peer-reviewed journals and in books published by international and national academic publishers.
I have also done academic service in the Strategic activities and practices interest group in the most respected academic community in the field of Management and organisation, the Academy of Management. This position was part of the 5-year chair track and lasted by the end of 2022. I have also worked in a leadership group in the Strategy as practice community in EGOS (European Group of Organization Studies) and presented my work actively in other respected international academic communities (e.g. PROS Process organisation studies, CMS Critical Management Studies). I am an active member in an international Strategy as Practice research network.
Virpi Vellonen ([email protected])
I am a University Lecturer in Special Education and a docent in Education Technology, particularly Education Technologies for People with Special Needs (School of Computing).
My research and teaching focus on the development of learning environments, the design and implementation of educational technologies, supporting learning and well-being, enhancing communication, interaction and participation, autism, and the development of teacher education. In addition to teaching, I supervise master’s theses, doctoral researchers, and teaching practice for special education teacher students. I am responsible for the Special Education Teacher Qualification Studies.
Virva Hyttinen-Huotari ([email protected])
I am a health economist interested in register-based research. In my PhD thesis I studied how potentially inappropriate medications in older people are associated with health care use, costs and mortality. After the dissertation, my research has continued to focus on the older people and medication use, increasingly focused on physicians’ decision-making and system-level implementation evaluation using registry data and quasi-experimental methods. I am a Principal Investigator in a mixed-method GuideGap project (funded by the Social Insurance Institution (SII) of Finland), which aims to evaluate physicians’ adherence to clinical guidelines generally.
Vittorio Fortino ([email protected])
I hold a Bachelor’s and Master’s degree in Computer Science, a PhD in Bioinformatics, and a Docentship in Health Bioinformatics. My research is centered on developing and implementing machine learning, heuristic optimization, and network data mining algorithms to tackle the principal computational challenges inherent in the precision medicine (PM) approach. PM is dedicated to the integration of molecular markers with conventional clinical data to customize medical treatment and enhance patient outcomes. My team’s current projects include: 1) patient stratification utilizing both single- and multi-view datasets, facilitated by deep learning, dimensionality reduction, and knowledge-driven clustering analyses; 2) biomarker identification through the analysis of extensive genomics data, applying metaheuristic techniques for feature selection, and; 3) the creation of network data mining algorithms aimed at discovering drug targets and repurposing existing drugs. Our work is pivotal in translating complex biological data into actionable insights for PM, ultimately aiming to optimize individual patient care.