Last Friday, TalTech’s research articles of the year were announced — one from the field of social sciences, two from the field of technology, and one from the natural, exact, and health sciences.
The topics ranged from increasing AI reliability and groundbreaking power electronics technology to the effects of digital tools and the study of ovaries.
How Digital Tools Affect the Entrepreneurial Ecosystem: An Example from Estonia
The best research article in the social and humanities field was awarded to Aki Harima, Associate Professor of Entrepreneurship at TalTech’s School of Business and Governance, for her article ‘Digital boundary spanning in the evolution of entrepreneurial ecosystems: A dynamic capabilities perspective’, published in 2024 in the Journal of Business Research.
Power Electronics Breakthrough
Two top articles were selected in the technology field.
The article ‘Soft Switching Bidirectional Step-Up/Down Partial Power Converter with Reduced Components Stress’, published in IEEE Transactions on Power Electronics and written by Naser Hassanpour, Andrii Chub, Andrei Blinov, and Dmitri Vinnikov from the School of Engineering, includes a comprehensive comparative analysis of the converter’s working principles and the performance of soft switching. The journal is one of the most respected in the field of power electronics.
Making AI More Reliable and Transparent
The second winning article in the technology field, ‘Improving IoT Security with Explainable AI: Quantitative Evaluation of Explainability for IoT Botnet Detection’, was authored by School of Information Technologies’ researchers Rajesh Kalakoti, Hayretdin Bahsi, and Sven Nõmm. They explain their research results in the prestigious IEEE Internet of Things Journal, detailing why and how important it is to consider the quality of explainability in quantitative evaluation alongside the detection capability of models.
Fertility Assessment Could Change Significantly
TalTech chose the best research article in the field of health sciences, which introduced new discoveries related to female fertility. The article In-depth analysis of transcriptomes in ovarian cortical follicles from children and adults reveals interfollicular heterogeneity was published in the prestigious journal Nature Communications. An international research group, including Professor Agne Velthut-Meikas (Young Researcher of the Year) and Ilmatar Rooda, contributed extensively to this work.