Eerika Finell (PhD 2012, University of Helsinki) is a professor of social psychology at the University of Eastern Finland and a visiting professor at Nottingham Trent University (April 2026–April 2029). Her research focuses on dyadic and group processes and how these shape health and well-being, friendships, attitudes, and intergroup relations. In particular, she is interested in how these processes change over time and how they are embedded in the material and physical environments in everyday lives.
Her work is characterised by a multimethod approach (e.g. qualitative methods, multilevel models) and a focus on everyday contexts that may initially appear banal (e.g. mothers’ intergroup contacts in playgrounds, small everyday memories associated with national symbols, and children’s experiences in school buildings with poor indoor air quality). Fine-grained analyses of such everyday phenomena can play a pivotal role in the development of sociopsychological theories and offering significant real-world relevance.
My PhD study focuses on developing methods for characterizing ultrasound fields using an acousto-optic based optical tomography. In general, my research areas include schlieren imaging, tomography, and ultrasound related physics.
I work as a Post Doctoral Researcher in the Neuro impact and innovation research team. My research interests cover topics such as social processes of research collaboration with private and public sector stakeholders, co-research and patients’ experiental knowledge. My teaching experience focuses on qualitative research methods, innovation culture and innovation management research courses. Before entering the UEF, I worked as a researcher at the Finnish Institute of Occupational Health and in the international HRD in the steel industry.
I have strong background in plant and ecosystem ecology linking vegetation and microbial diversity and processes to soil carbon dynamics and greenhouse gas emissions. My major research questions are related to the peatland ecosystems, how they adapt and feedback to global change (climate change, changing management, restoration). I am also interested how the ongoing change in humans’ relationship to nature is impacting ecosystems and how it feeds back to humans.
I received my PhD in University of Helsinki (UH) in 2000. After a postdoc in Canada in McMaster University and Univerité Laval I continued working as a postdoc and Academy Research Fellow in UH. On August 2011 I moved to University of Eastern Finland (UEF), first to work as a university researcher in Forest Ecology and on February 2012 I started as a professor of Forest Soil Science.
I provide support to accessing EU and related international funding programmes by:
- monitoring and identifying suitable funding opportunities for researchers in the Faculty of Social Sciences and Business Studies,
- providing advice on the presentation and content of proposals and application procedures, in line with funder requirements and expectations, and
- participating in the consortium development and proposal preparation process and reviewing and editing proposal components, as required.
The main focus of my current research is on the effects of drying trends on peatland vegetation: I study how plant traits and biomass allocation are changing due to climate induced water level drawdown. I address these drying trends on species, functional group and site level and study how these changes vary between different peatland types. For this, I compare experimentally drained peatland sites with pristine ones, and combine field observations with lab analyses and statistical techniques.
My career as a scientist has started in University of Tartu (Estonia), where I received my PhD in field of botany and mycology in 2010. After graduation I worked in University of Helsinki as a post-doctoral researcher, where I was involved in the research related to the effects of disturbances on the vegetation and carbon dynamics of the boreal forests, and studies on the effects of biochar amendment to the growth and quality of tree seedlings.
Who Am I
I am a computational photogrammetry and computer vision researcher focused on developing scalable, uncertainty-aware 3D sensing technologies. My research bridges algorithmic perception (AI/Deep Learning) with rigorous multi-sensor geometry to build next-generation digital twins and smart infrastructure.
Active research focus
Multi-camera calibration, Multi-Camera Multi-Sensor Mobile-Mapping Systems, photogrammetric cloud infrastructure development, probabilistic georeferencing, geometric evaluation of neural presentations for urban infrastructure, and machine-learning for forest applications.
Current academic roles
1- Guest Editor special edition: “Mobile Mapping Systems in Environmental Remote Sensing: Advances for Urban and Forest Applications“ in remote sensing.
2- Topical Advisory Panel Member in remote sensing.
Former academic roles
1-Guest Editor special edition: “Advances in Deep Learning Approaches: UAV Data Analysis“ in remote sensing.
2- Guest Editor special edition: “Novel Applications of UAV Imagery for Forest Science“ in remote sensing.
3- Guest Editor special edition: “Remote Sensing for Spatial Information Extraction and Process“ in sensors.
Selected Publications
- Ehsan Khoramshahi, Somayeh Nezami, Petri Pellikka, Eija Honkavaara, Yuwei Chen, Ayman Habib, A Taxonomy of Sensors, Calibration and Computational Methods, and Applications of Mobile Mapping Systems: A Comprehensive Review, Remote Sensing 17.9 (2025): 1502
- Xuanzhi Liu, Ehsan Khoramshahi, Ruochen Zhang, Chen Chen, Eetu Puttonen, Yuwei Chen, Using Direct-Georeferencing with a MEMS-LiDAR to Classify Traffic Signs, an Automatic Approach, 2024 5th International Conference on Smart Sensors and Application (ICSSA), Penang, Malaysia, 2024, pp. 1-6, doi: 10.1109/ICSSA62312.2024.10788657.
- Ehsan Khoramshahi, Photogrammetric Computations, Visionium Oy, Vol.I, Rel. 1, Oct. 2024.
- Mohammad Imangholiloo, Ville Luoma, Markus Holopainen, Mikko Vastaranta, Antti Mäkeläinen, Niko Koivumäki, Eija Honkavaara, Ehsan Khoramshahi, A New Approach for Feeding Multispectral Imagery into Convolutional Neural Networks Improved Classification of Seedlings, 2023, Remote-Sensing, journal article. My roles: supervising and advising the student, helping to design the AI method, editing the article.
- Ehsan Khoramshahi, Roope Näsi, Stefan Rua, Raquel A Oliveira, Axel Päivänsalo, Oiva Niemeläinen, Markku Niskanen, Eija Honkavaara, A Novel Deep Multi-Image Object Detection Approach for Detecting Alien Barleys in Oat Fields Using RGB UAV Images, 2023, Remote-Sensing, journal article. My roles: Experimental design, visualization, original writing, editing.
- Jianxin Jia, Haibin Sun, Changhui Jiang, Kirsi Karila, Mika Karjalainen, Eero Ahokas, Ehsan Khoramshahi, Peilun Hu, Chen Chen, Tianru Xue, Tinghuai Wang, Yuwei Chen, Juha Hyyppä, Review on active and passive remote sensing techniques for road extraction, 2021, Remote-Sensing, journal article. My role: editor.
- Ehsan Khoramshahi, Raquel A Oliveira, Niko Koivumäki, Eija Honkavaara, An image-based real-time georeferencing scheme for a UAV based on a new angular parametrization, 2020, Remote-Sensing, journal article. My roles: Experimental design, visualization, original writing, editing.
- Somayeh Nezami, Ehsan Khoramshahi, Olli Nevalainen, Ilkka Pölönen, Eija Honkavaara, Tree species classification of drone hyperspectral and RGB imagery with deep learning convolutional neural networks, 2020, Remote-Sensing, journal article. My roles: Experimental design, visualization, original writing, editing.
- Ehsan Khoramshahi, Mariana Batista Campos, Antonio Maria Garcia Tommaselli, Niko Vilijanen, Teemu Mielonen, Harri Kaartinen, Antero Kukko, Eija Honkavaara, Accurate calibration scheme for a multi-camera mobile mapping system, 2019, Remote-Sensing, journal article. My roles: Experimental design, visualization, original writing, editing.
- Ehsan Khoramshahi, Eija Hokavaara, Modelling and automated calibration of a general multi-projective camera, 2018, Photogrammetric Record, journal article. My roles: Experimental design, visualization, original writing, editing.
- Jian Tang, Yuwei Chen, Antero Kukko, Harri Kaartinen, Anttoni Jaakkola, Ehsan Khoramshahi, Teemu Hakala, Juha Hyyppä, Markus Holopainen, Hannu Hyyppä, SLAM-aided stem mapping for forest inventory with small-footprint mobile LiDAR, 2015, Forests, journal article. My roles: Experimental design, editing.
- Ehsan Khoramshahi, Juha Hietaoja, Anna Valros, Jinhyeon Yun, Matti Pastell, Image quality assessment and outliers filtering in an image-based animal supervision system, 2015, International Journal of Agricultural and Environmental Information Systems (IJAEIS), journal article. My roles: Experimental design, visualization, original writing, editing.
I am the main designer and developer of University of Eastern Finland Geoportal.
You can find my Doctoral Dissertation about Photogrammetric Multi-Camera Calibration in Mobile-Mapping-Systems here.
I’m Ehsan Shad, a project researcher in microbiology, with a strong interest in how bacteria function and interact with their environment. My research focuses on:
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Exploring the functional properties of bacteria, especially probiotics and their health benefits
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Investigating antimicrobial compounds and their mechanisms of action on bacterial cells
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Production of bacteria and their metabolites for functional or industrial purposes
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Troubleshooting microbial monitoring issues in applied research or industry
I’m always open to research collaboration, exchange of ideas, or tackling real-world microbiological challenges. Feel free to connect!
Professor of Clinical Research and Director of the UEF Brain Research Unit
Research Director, Frontotemporal Lobar Degeneration and Early Onset Dementia -research group
Partner in the national FinFTD research consortium
Major Research Interests
- Frontotemporal dementia
- Alzheimer’s disease
- Early onset dementia
- Biomarkers
- Genetics
- Neurodegenerative disorders
- Ethical questions
- Legal issues in dementia
My research interests include investigating the roles of membrane transporters (SLCs and ABCs) and receptors expressed at barrier sites in pathogenesis of CNS diseases, in particular in Alzheimer’s disease, as well as in drug delivery and pharmacokinetics. In addition, my research focuses on identifying novel drug targets for the treatment of Alzheimer’s disease. Another goal of my research is to facilitate CNS drug development by characterizing different in vitro and in vivo models for studying the blood-brain barrier and membrane transporters/receptors.
