Prof. Huaan Jin | Biophysical Parameters | Excellence in Innovation Award

Prof. Huaan Jin | Biophysical Parameters | Excellence in Innovation Award

Institution of Mountain Hazards and Environment, Chinese Academy of Sciences | China 

His research integrates satellite remote sensing, eco-hydrological modeling, and machine learning to estimate key Biophysical Parameters such as leaf area index, gross primary productivity, and fraction of absorbed photosynthetically active radiation. He has contributed to the development of high-resolution vegetation products by combining multisource satellite data with deep learning approaches. His work advances methodological frameworks for accurate environmental monitoring in mountainous regions. He has authored a scholarly book on mountain remote sensing and published extensively in leading international journals. His research supports improved understanding of mountain ecosystem functioning under environmental and climatic variability. In addition, his studies address data fusion, scaling, and uncertainty analysis in complex terrain. He has made methodological contributions to time-series analysis of satellite observations. His research provides valuable scientific support for ecosystem modeling and climate-related environmental assessments.

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Featured Publications

An enhanced spatial and temporal data fusion model for fusing Landsat and MODIS surface reflectance to generate high temporal Landsat-like data
Remote Sensing, 2013

Assessment of five satellite-derived LAI datasets for GPP estimations through ecosystem models
Science of the Total Environment, 2019

Intercomparison and validation of MODIS and GLASS leaf area index (LAI) products over mountain areas: A case study in southwestern China
International Journal of Applied Earth Observation and Geoinformation, 2017

Modeling canopy reflectance over sloping terrain based on path length correction
IEEE Transactions on Geoscience and Remote Sensing, 2017

Improvement of spatially and temporally continuous crop leaf area index by integration of CERES-Maize model and MODIS data
European Journal of Agronomy, 2016

Dr. Yutaka Kishida | Computational Immunology | Best Review Paper Award 

Dr. Yutaka Kishida | Computational Immunology | Best Review Paper Award 

Osaka Kaisei Hospital | Japan

Yutaka Kishida is a physician–scientist in the field of gastroenterology and hepatology with a research focus on liver physiology and metabolic function. His work has contributed to understanding hepatic oxygen metabolism and microcirculatory regulation in normal and diseased liver tissue. He is recognized for applying innovative experimental techniques to measure in vivo hepatic tissue oxygenation. His studies have clarified mitochondrial and microsomal enzyme alterations associated with alcohol-related liver injury. Through this research, he advanced knowledge of the mechanisms underlying hepatic dysfunction and disease progression. His scholarly contributions bridge basic liver physiology and clinical hepatology. He has published in peer-reviewed scientific journals. He has also contributed to the advancement of biomedical research through academic peer review.

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Dr. Mingming Wu | Radiologie | Research Excellence Award 

Dr. Mingming Wu | Radiologie | Research Excellence Award 

Technische Universität München | Germany 

Dr. Mingming Wu is an interdisciplinary scientist and physician–researcher specializing in advanced magnetic resonance imaging (MRI) with a strong focus on quantitative imaging of adipose tissue, MR thermometry, and image-guided therapies. Her research bridges physics, biomedical engineering, and clinical radiology, contributing to the development of robust MRI methodologies for studying brown and white adipose tissue, cancer cachexia, metabolic health, and thermal therapies. She has made significant contributions to correcting motion, susceptibility, and field inhomogeneity artifacts in MRI, as well as to diffusion-weighted spectroscopy and water–fat separation techniques. Her work integrates experimental MRI, sequence development, quantitative image analysis, and machine learning–based segmentation, with broad impact across radiology, endocrinology, and oncology.

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Prof. Jabed Iqbal | Proteogenomics | Research Excellence Award 

Prof. Jabed Iqbal | Proteogenomics | Research Excellence Award 

Singapore General Hospital | Singapore

Dr. Jabed Iqbal is an academic pathologist and clinician-scientist whose research centers on the molecular and pathological basis of cancer, particularly hematological malignancies and breast cancer. His work integrates histopathology, molecular biology, and translational diagnostics to enhance precision in cancer classification and clinical decision-making. He has contributed to the development and application of biomarker-driven diagnostic strategies with relevance to personalized medicine. His research emphasizes translational pathways that bridge laboratory discoveries with clinical practice. Dr. Iqbal has authored numerous peer-reviewed publications that advance understanding of oncologic pathology. He is actively engaged in multidisciplinary and international research initiatives. His expertise supports innovation in diagnostic development and pathology-led research. Collectively, his work has strengthened the role of molecular pathology in modern cancer diagnostics.

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Dr. Nicola Cantasano | Ecologia | Research Excellence Award

Dr. Nicola Cantasano | Ecologia | Research Excellence Award

National Research Council of Italy | Italy

Dr. Nicola Cantasano is an interdisciplinary researcher working across marine biology, freshwater ecosystem monitoring, and astrobiology. His research focuses on developing innovative methods to measure, map, and assess the ecological status of marine and fluvial environments. A significant part of his work addresses the structure, dynamics, and conservation of Mediterranean seagrass ecosystems, particularly Posidonia oceanica. He has also contributed to marine macroalgal taxonomy and the monitoring of invasive and non-native algal species. In freshwater systems, his studies emphasize functional assessment, ecological connectivity, and integrated ecosystem management. Another distinctive research direction explores analogies between terrestrial microbial structures and sedimentary features observed on Mars. Overall, his work bridges environmental science and planetary biology to advance understanding of life-supporting processes on Earth and beyond.

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Dr. Shazia Rehman | Bioinformatics | Research Excellence Award 

Dr. Shazia Rehman | Bioinformatics | Research Excellence Award 

Rawalpindi Women University | Pakistan 

Dr. Shazia Rehman is a plant scientist specializing in Bioinformatics, molecular biology, and genetic research. Her work focuses on CRISPR-Cas9 gene editing, phylogenetic and genetic diversity studies, stress physiology, proteomics, metabolomics, and pharmaceutical applications of algae. She is skilled in molecular techniques, tissue culture, and bioinformatics tools for genome analysis and protein structure prediction. Dr. Rehman has published extensively in peer-reviewed journals, including research on plant transcription factors, proteinase inhibitor-II (PI-II) genes, and crop genetic diversity. She has contributed to national and international research projects and received recognition such as the Seal of Excellence from the European Commission. Her research integrates molecular biology, biotechnology, and bioinformatics to advance plant functional genomics and applied plant sciences.

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Assist. Prof. Dr. Anitha T.S | Cancer Biology | Best Academic Researcher Award 

Assist. Prof. Dr. Anitha T.S | Cancer Biology | Best Academic Researcher Award 

Dept. of Biochemistry & Molecular Biology, Pondicherry University | India 

Dr. Anitha T.S. is a biochemist and molecular biologist with expertise in cancer biology, drug repurposing, ocular biology, and translational animal biotechnology, with a strong focus on preclinical therapeutic evaluation. Her research emphasizes aggressive cancers such as glioblastoma and hepatocellular carcinoma, addressing tumor progression, drug resistance, and synergistic treatment strategies. She has also made notable contributions to ocular biology, particularly in oxidative stress–mediated cataractogenesis and plant-derived bioactive therapies. Her work bridges fundamental molecular mechanisms with clinically relevant applications and has resulted in an international patent in cancer therapeutics. She has successfully led and contributed to nationally funded research projects and consultancy-driven industry collaborations. Dr. Anitha has published extensively in international journals and received prestigious national and international fellowships recognizing her scientific impact.

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Prof. Dr. MR RAJAN | Bionanotechnology | Research Excellence Award

Prof. Dr. MR RAJAN | Bionanotechnology | Research Excellence Award 

The Gandhigram Rural Institute- Deemed to be University | India

Dr. M. R. Rajan is an experienced life sciences researcher with interdisciplinary expertise in Botany, Zoology, Microbiology, and Environmental Biology, with a strong research focus on environmental management, bioremediation, industrial effluent impact assessment, aquatic biology, and applied biological research. His scholarly contributions emphasize the integration of environmental science with biochemical, physiological, and molecular approaches to address ecological challenges, particularly the effects of industrial pollutants on soil, crops, aquatic organisms, and ecosystems. He has made substantial contributions to research supervision, guiding doctoral research across diverse themes including effluent treatment, environmental remediation, aquaculture biology, and applied environmental studies, and is widely recognized for his rigorous research methodology and sustained impact on environmental and biological sciences. His academic engagement spans both theoretical and practical dimensions of life science education, strengthening research-oriented learning. He is noted for fostering interdisciplinary thinking among researchers. His work supports sustainable environmental practices. His mentorship has contributed to the advancement of applied biological research. His research legacy reflects long-term commitment to scientific excellence.

 

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Prof. Marta Szachniuk | RNA Structure | Women Researcher Award 

Prof. Marta Szachniuk | RNA Structure | Women Researcher Award 

Poznan University of Technology | Poland 

Marta Szachniuk is an internationally recognized researcher in structural bioinformatics and computational RNA biology, combining computer science, mathematics, and life sciences to address key challenges in RNA structure analysis. Her research focuses on the development of innovative combinatorial models, algorithms, and computational methods for RNA structure prediction, modeling, and functional motif identification. She is the founder and lead architect of RNApolis, a comprehensive virtual laboratory that integrates original tools widely used by the global RNA research community. These systems support large-scale computational studies and translational applications in biotechnology, medical diagnostics, and drug discovery. Her scientific output includes a substantial body of influential publications and extensive participation in international conferences, reflecting strong research impact. She has received numerous prestigious distinctions recognizing excellence in bioinformatics and technical sciences. Beyond research, she plays a significant leadership role in international scientific societies and advisory bodies shaping computational biology. She serves on editorial boards of leading journals and contributes extensively as a reviewer for top-tier scientific publications and funding agencies. Her academic activities include mentoring researchers at multiple career stages and delivering advanced education in algorithmics and structural bioinformatics. Through sustained research excellence, infrastructure development, and community leadership, she has made a lasting and internationally visible contribution to computational life sciences.

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Prof. Jin-Song von Storch | climate dynamics | Research Excellence Award

Prof. Jin-Song von Storch | Computational Neuroscience | Research Excellence Award 

Max-Planck Institute for Meteorology | Germany

Jin-Song von Storch is an internationally recognized Computational Neuroscience known for her contributions to understanding climate variability, predictability, and the dynamics of the coupled ocean–atmosphere system. Her research focuses on ocean energetics, internal waves, mesoscale eddies, and their role in large-scale circulation and climate sensitivity. She has made influential advances in stochastic climate theory, equilibrium fluctuations, and the statistical interpretation of climate variability. A key aspect of her work is the use of high-resolution and eddy-resolving Earth system models to investigate air–sea interactions and oceanic energy pathways. Her research has significantly improved the representation of ocean processes in climate models and informed international modeling efforts. Through a strong combination of theory, numerical modeling, and statistical analysis, her work bridges fundamental climate physics and applied climate prediction. She has authored a substantial body of highly cited publications across leading journals in climate science and physical oceanography. In addition to her scientific contributions, she has played an important leadership role in large collaborative research initiatives. She is also recognized for mentoring early-career researchers and shaping research directions in climate dynamics.

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