Alicia Palacios-Orueta | Spatial Data Analysis | Research Excellence Award

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Dr. Alicia Palacios-Orueta | Spatial Data Analysis | Research Excellence Award

 Universidad Politécnica de Madrid | Spain

Dr. Alicia Palacios-Orueta is a Full Professor (Catedrática de Universidad) in the Department of Agroforestry Engineering at the Technical University of Madrid (Universidad Politécnica de Madrid, UPM), with an internationally recognized career in environmental science and remote sensing. She holds a degree in Agricultural Engineering from UPM and completed her MSc and PhD in Soil Science at the University of California, Davis. Her academic trajectory spans more than two decades, including appointments as Assistant Professor, Associate Professor, and Full Professor, as well as research positions in leading international institutions in the United States, Italy, Israel, and Sweden. Her research focuses on soil science, climatology, meteorology, geology, plant ecology, remote sensing, hyperspectral analysis, and spatial–temporal time series analysis. She is especially known for pioneering work on hyperspectral indices for soil and vegetation assessment and for innovative statistical approaches to remote sensing time series with spatial dimensions. Her research has received international visibility, including coverage by Nature Geoscience and New Scientist, and she has contributed to advisory bodies such as the Seosat/Ingenio Mission Advisory Group. She has coordinated numerous national and international research projects, supervised doctoral theses, and taught extensively at undergraduate, master’s, and doctoral levels. Her scholarly impact is reflected in 44 documents, an h-index of 21, and approximately 1,743 citations. Overall, Dr. Palacios-Orueta is a leading scholar whose work has significantly advanced the understanding of land–atmosphere interactions and environmental monitoring through remote sensing.

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Featured Publications

Rozana Ghandy | Digital Data | Best Researcher Award

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Dr. Rozana Ghandy | Digital Data | Best Researcher Award

 Islamic Azad University, Tehran | Iran

Dr. Rozana Ghandy is an academic researcher in physical oceanography, pursuing doctoral studies at the Science and Research Branch of Islamic Azad University, where her work focuses on analyzing heat fluxes over the North Indian Ocean and the Persian Gulf using advanced weather reanalysis datasets. She holds a master’s degree in oceanography from Islamic Azad University, North Tehran Branch, where she investigated geostrophic currents through field measurements and satellite observations, and a bachelor’s degree in science from Isfahan University. With extensive teaching experience across multiple educational levels—including physics instruction at pre-university, high-school, and laboratory settings—she has contributed significantly to academic development and educational leadership. Her research interests include air–sea interactions, ocean circulation, climate variability, regional sea dynamics, and the application of remote sensing in marine studies. She has presented and published studies on physical parameters in coastal regions, surface flux behavior, and standardized approaches to air–sea heat flux assessment across key marine basins. Her academic achievements include competitive rankings in national entrance examinations and scholarships recognizing her scientific potential. Overall, her work reflects a dedication to advancing understanding of ocean–atmosphere processes and contributing to the broader field of marine and climate science.

Profile : Orcid

Featured Publication

Study of surface fluxes over the Northern Indian Ocean Seas, 2023

Fan Xiao | Data Processing | Research Excellence Award

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Assoc. Prof. Dr. Fan Xiao | Data Processing | Research Excellence Award

Sun Yat-sen University | China

Xiao Fan is an Associate Professor and PhD advisor at the School of Earth Sciences and Engineering, Sun Yat-sen University, recognized for his contributions to mineral exploration, mathematical geoscience, and data-driven Earth system analysis. He received his bachelor’s and doctoral degrees in mineral resource exploration from China University of Geosciences (Wuhan), with joint doctoral training at the University of Ottawa. His research focuses on mineral system modeling, multi-physics numerical simulation, fractal and singularity analysis, machine-learning-based mineral prospectivity, and knowledge-driven geoscientific data integration. As a core member of major national innovation teams, he has led or participated in several national and provincial research projects and contributed to the creation of an advanced UAV-based geophysical–geochemical acquisition and processing platform. He has published 54 documents with 986 citations from 706 sources and holds an h-index of 19, along with multiple patents, software copyrights, and highly cited works in leading SCI journals. He serves on editorial boards and scientific committees, including roles as youth editor and guest editor, and has organized sessions for the International Geological Congress. His work advances quantitative mineral prediction and computational geoscience, contributing impactful models and methods that enhance understanding of mineralization processes and exploration efficiency.

Profiles : Scopus | Orcid

Featured Publications

(2025). “Three-Dimensional Prospectivity Modeling of Jinshan Ag-Au Deposit, Southern China by Weights-of-Evidence.” Journal of Earth Science.

(2025). “Lithologic mapping of intermediate-acid intrusive rocks in the eastern Tianshan Gobi Desert using machine learning and multi-source data fusion.” Earth Science Frontiers.

(2025). “A DFT study on mechanisms of indium adsorption on sphalerite (100), (110), and (111) surfaces: Implications for critical metal mineralization.” Ore Geology Reviews.

(2025). “Data-driven expeditious mapping and identifying granites in covered areas via deep machine learning: A case study on the implications for geodynamics and mineralization of Eastern Tianshan.” Lithos.

(2025). “Numerical Modeling and Exploration Data Coupled-driven Mineral Prospectivity Mapping: A Case Study of Fankou Pb-Zn Deposit.” Geotectonica et Metallogenia.

Wentao Chen | Data Analysis | Research Excellence Award

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Mr. Wentao Chen | Data Analysis | Research Excellence Award

Nanjing University of Information Science and Technology | China

Mr. Wentao Chen is a dedicated geography researcher currently pursuing a master’s degree with a strong academic foundation in geographical science, remote sensing, and spatial data analysis. Building upon his undergraduate training in earth science, geomorphology, meteorology, ecology, and GIS, he has developed a solid interdisciplinary background that supports his growing expertise in coastal and environmental studies. His research experience includes participation in major national projects, such as investigations into coastline evolution under global change and studies on carbonate leaching processes and carbon sequestration in coastal soil chronosequences. As the first author of a peer-reviewed article in Remote Sensing, he contributed significant insights into tidal mudflat sediment-thickness identification using ground-penetrating radar, demonstrating improved methodological accuracy through advanced signal-processing techniques. His academic performance has been recognized with multiple scholarships and awards, reflecting consistent commitment and scholarly potential. His primary research interests lie in coastal geomorphology, environmental remote sensing, and GIS-based spatial analysis, with a particular focus on coastal dynamic processes and subsurface structural characterization. Continually motivated to expand his technical and research capabilities, he aims to contribute meaningful scientific understanding to the fields of coastal environmental change and geospatial technology.

Profile : Orcid

Featured Publication

Chen, W., Zhao, C., Zheng, G., Zhu, J., & Li, X. (2025). “Identification of the Sediment Thickness Variation of a Tidal Mudflat in the South Yellow Sea via GPR.” Remote Sensing.

 

Almudena García-García | Climate Change Data Analysis | Best Researcher Award

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Dr. Almudena García-García | Climate Change Data Analysis | Best Researcher Award

Helmholtz Centre for Environmental Research – UFZ | Germany

Dr. Almudena García-García is a scientist specializing in remote sensing and environmental sciences, currently affiliated with the Helmholtz Centre for Environmental Research (UFZ) and the Remote Sensing Centre for Earth System Research at Leipzig University. She earned her Ph.D. in Environmental Science from Memorial University of Newfoundland and St. Francis Xavier University, following an M.Sc. in Earth Sciences and a B.Sc. in Physics. With extensive experience as a course and lab instructor, research assistant, and project manager, her work focuses on climate extremes, soil heat dynamics, hydrology, and biodiversity under changing environmental conditions. Dr. García-García has led and contributed to multiple national and international research projects, including DFG-funded studies on soil heat extremes and ESA’s 4DHYDROLOGY initiative. She has co-authored numerous high-impact peer-reviewed publications on soil moisture, transpiration, land-surface modeling, and Earth observation data integration. Recognized for her scientific excellence, she has received the Governor General Graduate Medal, the Moire A. Wadleigh Award, and a nomination to the 73rd Lindau Nobel Laureate Meeting. Dr. García-García has supervised bachelor, master, and Ph.D. students, fostering the next generation of environmental scientists. Her research combines remote sensing, Earth system modeling, and observational data to better understand the impacts of climate variability and extremes on terrestrial and hydrological systems.

Profile : Orcid

Featured Publications

Beltrami, H., González-Rouco, J. F., Peng, J., Cuesta-Valero, F. J., García-García, A., & García-Pereira, F. (2025, November 12). Robust increase in observed heat storage by the global subsurface. Science Advances.

Mahecha, M. D., Bastos, A., Bohn, F. J., Eisenhauer, N., Feilhauer, H., Hickler, T., Kalesse-Los, H., Migliavacca, M., Otto, F. E. L., Peng, J., et al. (2024). Biodiversity and climate extremes: Known interactions and research gaps. Earth’s Future.

Garcia-Pereira, F., Gonzalez-Rouco, J. F., Melo-Aguilar, C., Steinert, N. J., Garcia-Bustamante, E., de Vrese, P., Jungclaus, J., Lorenz, S., Hagemann, S., Cuesta-Valero, F. J., et al. (2024). First comprehensive assessment of industrial-era land heat uptake from multiple sources. Earth System Dynamics, 15, 547–2024.

Garcia-Pereira, F., Gonzalez-Rouco, J. F., Schmid, T., Melo-Aguilar, C., Vegas-Canas, C., Steinert, N. J., Roldan-Gomez, P. J., Cuesta-Valero, F. J., Garcia-Garcia, A., & Beltrami, H., et al. (2024). Thermodynamic and hydrological drivers of the soil and bedrock thermal regimes in central Spain. Soil, 10, 1–2024.

Meng, X., Hu, J., Peng, J., Li, J., Leng, G., Ferhatoglu, C., Li, X., Garcia-Garcia, A., & Yang, Y. (2024). Validation and expansion of the soil moisture index for assessing soil moisture dynamics from AMSR2 brightness temperature.

A. A. Bidokhti | Data Analysis | Best Researcher Award

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Prof. Dr. A. A. Bidokhti | Data Analysis | Best Researcher Award

University of Tehran | Iran

A.A. Aliakbari Bidokhti is a professor of environmental and geophysical fluid dynamics whose work spans atmospheric and oceanic processes, turbulence, aerosols, climate modeling, and numerical simulation of complex environmental flows. He earned a Ph.D. in Geophysical Fluid Dynamics with specialization in the dynamics of the atmosphere and ocean, followed by postdoctoral research in the United Kingdom at Newcastle and Cambridge. Since 1992, he has served as a faculty member at the Institute of Geophysics, University of Tehran, contributing extensively to research and education in fluid mechanics, environmental physics, oceanography, and atmospheric sciences. His research interests cover turbulence with rotation and stratification, convection, atmospheric pollution, ozone dynamics, ocean currents, mesoscale eddies, and computational fluid dynamics. He is skilled in experimental fluid mechanics, hot-wire anemometry, SODAR studies, and numerical modeling of environmental systems. His publication record includes impactful journal articles and several books, among them Fundamentals of Fluid Dynamics and An Introduction to the Atmospheric Boundary Layer, the latter recognized as a distinguished science book in 2023. As a scientific member of national geophysical and marine societies, he contributes to advancing environmental research. His work continues to support understanding of climate, ocean processes, and atmospheric dynamics.

Profile : Orcid

Featured Publications

Bafandeh, B., Bidokhti, A.A., Lari, K., & Ezam, M. (2022). “Experimental and numerical study of gas to liquid ratio in stratified gas-saturated liquid blowouts’ plumes” in International Journal of Environmental Science and Technology.

Gholami, Z., Lari, K., Aliakbari Bidokhti, A., & Javid, A. (2021). “Revisiting the derivation of bulk longshore sediment transport rates using meta-heuristic algorithms” in Ocean and Coastal Research.

Mogaddam, S.F., Bidokhti, A.A., Givi, F.A., & Ezam, M. (2020). “Evaluation of physical changes (temperature and salinity) in the Persian Gulf waters due to climate change using field data and numerical modeling” in International Journal of Environmental Science and Technology.

Tajfirooz, B., Ezam, M., Bidokhti, A.A., & Lari, K. (2020). “Evaluation of probabilistic and deterministic methods for estimating energy potential of tidal currents in the Khuran Strait, the Persian Gulf” in International Journal of Environmental Science and Technology.

Arghavani, S., Malakooti, H., & Ali Akbari Bidokhti, A.-A. (2020). “Numerical assessment of the urban green space scenarios on urban heat island and thermal comfort level in Tehran Metropolis” in Journal of Cleaner Production.

Hamed Etezadi | Quantitative Research | Best Researcher Award

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Mr. Hamed Etezadi | Quantitative Research | Best Researcher Award

McGill University | Canada

Dr. Hamed Etezadi is a research-focused scholar in Bioresource Engineering with a Ph.D. from McGill University, Canada, where his thesis focused on developing decision support infrastructure for sustainable crop production under the supervision of Prof. Viacheslav Adamchuk. He holds an M.S. in Biosystems and Agricultural Engineering from the University of Tehran, Iran, and a B.E. in Agricultural Engineering from Urmia University, Iran. With over 15 years of academic and professional experience, Dr. Etezadi has contributed significantly to precision agriculture, data-driven modeling, remote sensing, machine learning, and autonomous agricultural systems. He has published 6 peer-reviewed journal articles, including Q1 and Q2 journals, and presented at leading conferences such as ASABE and IEEE/CS Robotics and Mechatronics, His research explores soil variability, aerial pollination systems, and predictive modeling for sustainable agriculture. He has received multiple honors, including the FRQNT Scholarship, Grad Excellence Award, and global recognition on Kaggle Notebooks. Dr. Etezadi combines academic teaching, research leadership, and industry experience, including directing growth and innovation in agri-tech platforms, fostering data-driven decision-making, and advancing sustainable farming technologies globally.

Profile : Orcid 

Featured Publications

Etezadi, H., Adamchuk, V., Bouroubi, Y., Leduc, M., Gasser, M.-O., & Titley-Peloquin, D. (2025). “Quantifying intra-field soil variability using categorical data: A case study of predicting soil organic matter using soil survey maps.”

Etezadi, H., & Eshkabilov, S. (2024). “A comprehensive overview of control algorithms, sensors, actuators, and communication tools of autonomous all-terrain vehicles in agriculture.”

Mazinani, M., Zarafshan, P., Dehghani, M., Vahdati, K., & Etezadi, H. (2023). “Design and analysis of an aerial pollination system for walnut trees.”

Zarafshan, P., Etezadi, H., Javadi, S., Roozbahani, A., Hashemy, S. M., & Zarafshan, P. (2023). “Comparison of machine learning models for predicting groundwater level, case study: Najafabad region.”

Salari, K., Zarafshan, P., Khashehchi, M., Chegini, G., Etezadi, H., Karami, H., Szulżyk-Cieplak, J., & Łagód, G. (2022). “Knowledge and technology used in capacitive deionization of water.”

Ujjwal Das | Public Health Analytics | Young Scientist Award

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Dr. Ujjwal Das | Public Health Analytics | Young Scientist Award

Fakir Mohan University | India

Dr. Ujjwal Das is an Assistant Professor (Temporary) of Geography at Fakir Mohan University, India, specializing in social determinants of population health, geospatial analysis, and public health research. He earned his Ph.D. in Geography from Rajiv Gandhi University, Arunachal Pradesh (2025), following an M.Phil. and Master of Population Studies from the International Institute for Population Sciences (IIPS), Mumbai, and a Gold Medalist M.A. in Applied Geography from Ravenshaw University. Dr. Das has presented his research at multiple national and international conferences, focusing on urban poverty, child malnutrition, elderly morbidity, and maternal health. His scholarly contributions include over 14 peer-reviewed publications, 5 book chapters, and extensive research on mortality, fertility, and population-environment interactions. He is proficient in quantitative and spatial analysis tools including SPSS, STATA, ArcGIS, R, and Mortpak. With an h-index of 3, more than 9 documents, and over 37 citations, his work is widely recognized for its impact on public health and population geography. Dr. Das has received awards for excellence in research and contribution to population studies. His ongoing work integrates geospatial methods with social science approaches to inform policy and improve health outcomes in India, particularly among vulnerable populations.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Das, U., & Mohanty, S.K. (2025). “Urban Poverty and Child Malnutrition in India: A Geographical Analysis” in Health on the Move: Population and Public Health Perspectives.

Ahamad, V., & Das, U. (2025). “Health on the move: cardiovascular disease risk among ageing male migrants in India” in Archives of Gerontology and Geriatrics Plus.

Das, U. (2025). “Is Virginity a Matter of Dignity or a Lack of Opportunity? Exploring the Paradoxical Relationship Between Premarital Sex and Education Among Youth in India” in Sexuality & Culture.

Das, U., & Kar, N. (2025). “Understanding economic disparities in elderly health outcomes: a decomposition analysis in Bankura district” in BMC Public Health.

Das, U., Kar, N., Riba, T., & Rout, N.R. (2025). “Prevalence of diabetes and disability among older adults in West Bengal and India: A comparative analysis” in Diabetes & Metabolic Syndrome: Clinical Research & Reviews.

Abhijeet Das | Water Resource Engineering | Excellence in Innovation

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Dr. Abhijeet Das | Water Resource Engineering | Excellence in Innovation

C.V. Raman Global University (CGU), Bhubaneswar, Odisha | India

Dr. Abhijeet Das is a dynamic and highly skilled civil engineering professional specializing in Water Resource Engineering, with extensive expertise in watershed hydrology, hydrological modeling, and advanced engineering design. He has contributed significantly to the development and optimization of water management systems, integrating innovative methodologies with emerging technologies like machine learning, GIS, and remote sensing. With a vision to address global water resource challenges, Dr. Das has been actively engaged in collaborative research and consultancy projects across multiple countries, enhancing water quality assessment, environmental impact studies, and sustainable infrastructure planning.

Professional Profiles

SCOPUS
ORCID

Education

Dr. Das holds a Ph.D. in Water Resource Engineering from C.V. Raman Global University, Bhubaneswar. He completed his M-Tech in Water Resource Engineering from Biju Patnaik University of Technology (BPUT), Rourkela, and a B-Tech in Civil Engineering from the same university. His academic foundation is rooted in rigorous research and practical exposure, enabling him to integrate theoretical knowledge with real-world applications in hydrological systems, climate change impact studies, and sustainable water management.

Experience

Dr. Das possesses over a decade of cumulative professional experience encompassing project consultancy, teaching, research, and industry exposure. He served as a Project Consultant at Madhu Smita Design & Engineers Studio, where he worked on large-scale projects related to water resource planning and GIS-based analysis. His teaching experience spans prestigious institutions such as IGIT Sarang and CET Bhubaneswar, where he mentored students in civil and water resource engineering disciplines. Additionally, he has gained valuable industrial exposure through internships and consultancy projects focusing on flood management, water quality optimization, and environmental sustainability.

Research Interests

His research interests include watershed hydrology, climate change impact assessment, drought and flood analysis, Food-Energy-Water (FEW) Nexus, machine learning applications in water resource engineering, remote sensing and GIS-based modeling, numerical and simulation-optimization modeling, water quality control, environmental impact assessment, and geoinformatics. Dr. Das is passionate about integrating artificial intelligence techniques like artificial neural networks and fuzzy logic to enhance predictive accuracy in water management systems.

Awards and Recognitions

Dr. Das has been honored with multiple Best Paper Awards at reputed national and international conferences. His research on water quality assessment, pollution source investigation, and surface water potential zone characterization has been recognized across forums such as ISDMME, ICSEEGT, RASTEMS, TRACE, and ICET. He has also presented award-winning posters on sustainable water quality demarcation and innovative water management techniques. These accolades reflect his commitment to advancing sustainable water resource engineering through cutting-edge research and practical applications.

Publications

An optimization based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance. (2025). Discover Environment.

Reimagining biofiltration for sustainable industrial wastewater treatment. (2025).

A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in Mahanadi River Basin, Odisha, India. (2025). Discover Sustainability.

Evaluation and prediction of surface water quality status for drinking purposes using an integrated water quality indices, GIS approaches, and machine learning techniques. (2025). Desalination and Water Treatment.

Bioplastics: a sustainable alternative or a hidden microplastic threat? (2025). Innovative Infrastructure Solutions.

Conclusion

Dr. Abhijeet Das represents a new generation of civil engineering professionals dedicated to sustainable water management and environmental conservation. His career integrates academic excellence, industry-focused research, and impactful contributions to international collaborative projects. With his multidisciplinary expertise, he aims to contribute to the global mission of ensuring water security, optimizing resource utilization, and promoting climate-resilient infrastructure. His work continues to bridge the gap between scientific innovation and real-world challenges, fostering sustainable development across diverse regions.

Yojana Adhikari | Climate Change Data Analysis | Best Researcher Award

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Ms. Yojana Adhikari | Climate Change Data Analysis | Best Researcher Award

Centre of Econics and Ecosystem Managementand, Eberswalde University of Sustainable Development | Germany

Ms. Yojana Adhikari is a dedicated researcher specializing in sustainable forestry, forest microclimate regulation, and climate adaptation strategies. With a strong foundation in forestry and geospatial science, she contributes to advancing ecological forestry practices through interdisciplinary collaborations, integrating field-based measurements with cutting-edge GIS and remote sensing techniques. Her research focuses on understanding how old-growth forests regulate microclimates, buffer against climate extremes, and foster biodiversity resilience. In her professional roles, she manages and analyzes large datasets, develops geospatial tools, and supports applied research to inform sustainable forest management and conservation strategies that align with global climate resilience goals.

Professional Profile

ORCID

Education

Ms. Adhikari holds a Bachelor of Science in Forestry from Nepal and a Master’s degree in Sustainable Tropical Forestry awarded through a joint Erasmus Mundus program at Bangor University, UK, and the Technical University of Dresden, Germany. This multidisciplinary academic background provided her with a strong grounding in forest dynamics, climate adaptation, ecological monitoring, and the application of advanced analytical tools for environmental research. Her academic journey has been marked by a focus on sustainable development principles, with a particular interest in the intersection of forest management, ecosystem services, and climate change adaptation.

Experience

Professionally, Ms. Adhikari serves as a Data Manager and Analyst at the Eberswalde University for Sustainable Development in Germany, where she coordinates data exchange between project partners, manages and maintains measurement data, and oversees (geo)database systems. Her expertise encompasses GIS and remote sensing analyses, statistical data processing, scientific writing, and presentations at international project events. In addition to this role, she contributes as a GIS Analyst at the Econics Institute, where she engages in geospatial analysis and applied research focused on ecological and sustainable forestry. She has been actively involved in key research projects, including the PYROPHOB project, the UNESCO Beech Project, and initiatives on climate adaptation in working landscapes. Her contributions also extend to peer review activities, serving as a reviewer for prestigious journals like Nature Communications.

Research Interests

Ms. Adhikari’s research spans a range of interconnected themes that address urgent environmental challenges. Her areas of interest include forest stand dynamics and silviculture, focusing on self-thinning, size–density relationships, and growth modeling to optimize forest resilience. She investigates forest microclimates and their role in thermal regulation, with particular emphasis on the buffering effects of old-growth forests. Her work in tree growth and functional traits examines dendrometer data, tree ring asymmetry, and crown structure to understand growth patterns under changing climatic conditions. She is highly skilled in GIS and remote sensing, integrating tools such as land surface temperature mapping, NDVI, canopy height modeling, and GEDI–Sentinel data fusion to advance ecosystem-based adaptation and conservation practices. Furthermore, she actively explores the ecological impacts of road networks, habitat connectivity, and biodiversity within the context of sustainable forest management.

Awards and Contributions

While her work primarily focuses on research and applied forestry, Ms. Adhikari’s contributions have been recognized through involvement in leading international projects and publications in highly regarded scientific journals such as Scientific Reports and Ecological Indicators. Her research on the microclimate regulation of old-growth forests and their role in climate resilience has informed policy recommendations and practical strategies for sustainable forestry. By bridging ecological theory and applied geospatial science, she contributes significantly to conservation planning, ecosystem-based management, and the development of green infrastructure in working landscapes. Her professional memberships include affiliations with the Centre for Econics and Ecosystem Management and the Eberswalde University for Sustainable Development, strengthening her role in the academic and applied research community.

Publications

Adhikari, Y., Blumröder, J.S., Meier, C., Ibisch, P.L., et al. (2025). “Beech buffers: Microclimate regulation in temperate old-growth forests, surroundings and forest edge” in Ecological Indicators.

Schmehl, M.-T., Adhikari, Y., Balthasar, C., Binder, A., Clerc, D., Dobkowitz, S., Gerwin, W., Günther, K., Hartong, H., Heinken, T., et al. (2025). “Monitoring abiotic and biotic parameters of forest regrowth under different management regimes on former wildfire sites in northeastern Germany – data from the PYROPHOB project” (Preprint).

Jouy, F., Schüle, M., Adhikari, Y., Binder, A., Clerc, D., Gerwin, W., Heinken, T., Raab, T., Repmann, F., Rönnefarth, S., et al. (2025). “Factors impacting the variability of post‐fire forest regeneration in central European pine plantations” in Restoration Ecology.

Heinken, T., Blumröder, J.S., Balthasar, C., Binder, A., Birkhofer, K., Brosinsky, A., Bubner, B., Clerc, D., Djoudi, E.A., Francke, T., et al. (2024). “PYROPHOB – A post-fire ecosystem research project to inform management for resilient forest development” in Tuexenia 44.

Adhikari, Y., Bachstein, N., Gohr, C., Blumröder, J.S., Meier, C., Ibisch, P.L., et al. (2024). “Old-growth beech forests in Germany as cool islands in a warming landscape” in Scientific Reports.

Conclusion

Ms. Yojana Adhikari represents a new generation of forestry researchers dedicated to addressing the complex challenges posed by climate change and biodiversity loss. Through her expertise in forest microclimate studies, data-driven analysis, and interdisciplinary collaboration, she contributes to shaping sustainable forest landscapes that promote resilience and ecological integrity. Her integration of field-based measurements with advanced GIS and remote sensing technologies enhances the understanding of forest ecosystems and their adaptive capacities. With her ongoing involvement in international research projects and her commitment to knowledge dissemination, Ms. Adhikari continues to build bridges between science and practice, fostering sustainable forestry practices that benefit both nature and society.