Prof. Piotr Kaminski | Biological Sciences | Best Researcher Award

Published on by Computer Scientists Awards

Prof. Piotr Kaminski | Biological Sciences | Best Researcher Award

Nicolaus Copernicus University | Poland

Dr. Piotr Kamiński, PhD, is a distinguished Professor and Head of the Division of Ecology and Environmental Protection at the Department of Medical Biology and Biochemistry, Nicolaus Copernicus University in Toruń, Poland. He also serves at the Department of Biotechnology, University of Zielona Góra, contributing significantly to interdisciplinary studies that bridge environmental sciences and medical biology. His scientific expertise lies in environmental ecophysiology, with research encompassing the physiological responses of humans, birds, mammals, fish, and plants to varying environmental conditions. Dr. Kamiński has made impactful contributions to understanding how ecological and biochemical factors influence organismal health, oxidative stress, and adaptive mechanisms in diverse ecosystems. His collaborations span numerous countries, reflecting a global approach to ecophysiological and environmental safety studies. He has supervised over 180 master’s and bachelor’s theses, and 23 doctoral dissertations, fostering the next generation of scientists. With over 190 peer-reviewed publications, his work appears in reputable journals and edited volumes, often addressing bioenergetics, antioxidant mechanisms, and ecological physiology. His academic excellence is reflected in Scopus metrics with 63 documents, 782 citations from 713 sources, and an h-index of 16. On Google Scholar, his citations exceed 1200, with an h-index of 19, underscoring his international scientific influence and recognition.

Profile

Scopus | ORCID

Featured Publications

Dietrich-Muszalska, A., Kamiński, P., Kontek, B., & Gorzelańczyk, E. J. (2025). Curcumin as an antioxidant against ziprasidone-induced lipid peroxidation in human plasma: Potential relevance to cortico-subcortical circuit function. International Journal of Molecular Sciences.

Kurhaluk, N., Buyun, L., Kołodziejska, R., Kamiński, P., & Tkaczenko, H. (2025). Effect of phenolic compounds and terpenes on the flavour and functionality of plant-based foods. Nutrients.

Tkaczenko, H., Buyun, L., Kołodziejska, R., Kamiński, P., & Kurhaluk, N. (2025). Neuroactive phytochemicals as multi-target modulators of mental health and cognitive function: An integrative review. International Journal of Molecular Sciences.

Kurhaluk, N., Kamiński, P., Bilski, R., Kołodziejska, R., Woźniak, A., & Tkaczenko, H. (2025). Role of antioxidants in modulating the microbiota–gut–brain axis and their impact on neurodegenerative diseases. International Journal of Molecular Sciences.

Bilski, R., Kamiński, P., Kupczyk, D., Jeka, S., Baszyński, J., Tkaczenko, H., & Kurhaluk, N. (2024). Environmental and genetic determinants of ankylosing spondylitis. International Journal of Molecular Sciences.

Lei Tian | Biological Sciences | Best Researcher Award

Published on by Computer Scientists Awards

Mr. Lei Tian | Biological Sciences | Best Researcher Award

Nanjing Forestry University, China

🌲 Lei Tian is a dedicated researcher in the field of forest sciences, affiliated with the College of Forestry at Nanjing Forestry University in China and the Department of Forest Sciences at the University of Helsinki in Finland. His work focuses on forest carbon sinks, climate change, and land use dynamics. With a strong academic background and a passion for forestry, Lei Tian is committed to advancing our understanding of forest ecosystems and their response to environmental changes. 📚🌍

Profile

ORCID

Education

🎓 PhD in Forest Management (09/2021 – Present) College of Forestry, Nanjing Forestry University, Nanjing, China. Department of Forest Sciences, University of Helsinki, Helsinki, Finland. Master of Geomatics Engineering (09/2018 – 01/2021) School of Geomatics, Anhui University of Science and Technology, Huainan, China. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China. Bachelor of Surveying & Mapping Engineering (09/2013 – 06/2018) School of Environment and Surveying Engineering, Suzhou University, Suzhou, China

Experience

💼 Postgraduate Research & Practice Innovation Program of Jiangsu Province
Lei Tian has actively participated in several research projects supported by the Jiangsu Provincial Education Department, contributing to the publication of multiple journal papers and the production of valuable datasets. His work spans forest age mapping, land use change simulations, and carbon storage assessments. 🌳🔬

💼 National Key Research and Development Program
As a major participant, Lei Tian contributed to research on remote sensing monitoring of land use changes, resulting in significant publications and datasets on land use classification and alpine timberline distribution. 🏞️🛰️

💼 Strategic Pioneer Special Project of Chinese Academy of Sciences
In this project, Lei Tian was involved in international scientific data sharing, focusing on forest type classification and contributing to high-impact research publications. 🌍📊

Research Interests

include the estimation of forest carbon sinks, forest carbon storage modeling, the response of forests to climate change, land use change, and urban heat islands. He is passionate about leveraging remote sensing and GIS technologies to address critical environmental challenges. 🌳🌡️

Awards

Lei Tian has been awarded multiple first-class academic scholarships, merit student scholarships, and recognitions for his outstanding contributions to research and academia. His accolades reflect his dedication and excellence in the field of forest sciences. 🌟📜

Publications

How forest age impacts on net primary productivity: insights from future multi-scenarios. Forest Ecosystems, 100228. https://doi.org/10.1016/j.fecs.2024.100228. (SCI, Q1)

Forest Age Mapping Using Landsat Time-Series Stacks Data Based on Forest Disturbance and Empirical Relationships between Age and Height. Remote Sensing, 15, 2862. https://doi.org/10.3390/rs15112862. (SCI, Q1)

Prediction of Land Surface Temperature Considering Future Land Use Change Effects Under Climate Change Scenarios in Nanjing City, China. Remote Sensing, 15, 2914. https://doi.org/10.3390/rs15112914. (SCI, Q1)

Review of Remote Sensing-Based Methods for Forest Aboveground Biomass Estimation: Progress, Challenges, and Prospects. Forests, 14, 1086. https://doi.org/10.3390/f14061086. (SCI, Q1)

Dynamics of the alpine timberline and its response to climate change in the Hengduan mountains over the period 1985–2015. Ecological Indicators, 135, 108589. https://doi.org/10.1016/j.ecolind.2022.108589. (SCI, Q1)

Bi-Temporal Analysis of Spatial Changes of Boreal Forest Cover and Species in Siberia for the Years 1985 and 2015. Remote Sensing, 12(24), 4116. https://doi.org/10.3390/rs12244116. (SCI, Q1)