Anwarul Islam Chowdhury ([email protected])
Mr. Chowdhury is currently conducting his PhD research using remote sensing and deep learning to detect biodiversity indicators. His innovative work focuses on developing new methods for mapping large aspens, deadwood and community diversity in Finland.
He holds two master’s degrees: one in European Forestry from the University of Eastern Finland and the other in Spatial and Ecological Modeling from the University of Lleida, Spain, which he completed through the prestigious Erasmus Mundus scholarship program. He completed his bachelor’s degree in forestry from the University of Chittagong. In Bangladesh, he worked for three years as a Research Assistant on four different projects at the University of Chittagong. He also served as a Visiting Researcher at LUKE (Natural Resources Institute Finland) under the AlphaWetland project.
In addition to remote sensing, Mr. Chowdhury has extensive research experience in carbon accounting, gap ecology, urban forestry, bioeconomics, and forest ecology. His scientific publications have appeared in prestigious journals such as Forest Ecology and Management, Journal of Cleaner Production, and European Journal of Forest Research.
Henri Teittinen ([email protected])
Management accounting research; management control systems, performance measurement systems; accounting information systems.
Kang Li ([email protected])
Research emphasis on Accounting and Finance in SMEs. Current research interests and topics include application of artificial intelligence (e.g. neural network) in the area of accounting & finance, circular economy, the role of ethics to firm performance etc.
Markus Mättö ([email protected])
My research interest is in the area of corporate finance, financial accounting, and auditing.
Riku Kiviluoto ([email protected])
Cardiovascular diseases (CVDs) remain the primary cause of morbidity and mortality worldwide, accounting for 18.6 million deaths annually. The World’s leading cause of hospitalization is heart failure (HF), affecting over 64 million people worldwide. Coronary artery disease (CAD) is one of the CVDs and it can lead to HF. CAD is caused by plaque building up in the wall of the coronary arteries which narrows arteries over time. This process is called atherosclerosis. Despite significant medical advances, HF has no cure.
Non-invasive imaging methods such as positron emission tomography (PET), magnetic resonance imaging (MRI) and computed tomography (CT) have the potential for early detection of HF with CAD. These imaging modalities provide detailed information on anatomical, functional and metabolic aspects of the cardiovascular system, which can help to identify individuals at risk and potentially prevent the progression of HF. Timely diagnosis and intervention reduce the morbidity and mortality associated with HF.
Current imaging techniques for myocardial inflammation have limited specificity. New approaches using PET/MRI techniques are needed for more specific and early detection of myocardial inflammation.
Teemu Laitinen ([email protected])
Guidance and support in financial issues. Financial reporting, budgeting and developement. Managerial and financial accounting.