Assoc. Prof. Dr. Jian Gao | Functional Genomics | Research Excellence Award

Assoc. Prof. Dr. Jian Gao | Functional Genomics | Research Excellence Award

Lishui University | China

Jian Gao is a researcher in crop genetics and breeding with expertise in radish genomics and functional genomics. His research centers on the genetic regulation of anthocyanin biosynthesis and the molecular mechanisms of plant responses to heavy metal and abiotic stresses. He applies genome-wide analysis, transcriptomics, and bioinformatics to identify key functional genes and regulatory networks. His studies on gene families such as GST and GRAS have provided important insights into stress tolerance and quality trait formation in radish. He has also contributed to microRNA and regulatory gene research related to environmental stress responses in plants. Beyond plant science, his work extends to applied genomics using high-throughput sequencing technologies. His research has been published in leading international journals in plant science and molecular biology. He has played leading and collaborative roles in multiple competitive research projects. His work has resulted in authorized patents and the development of improved radish varieties. He is actively involved in graduate training and interdisciplinary teaching in genomics and bioinformatics.


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Prof. Xuejin Zhu | Epidemiology | Research Excellence Award

Prof. Xuejin Zhu | Epidemiology | Research Excellence Award

Wuxi University | China

Xuejin Zhu is an associate professor in the School of Internet of Things Engineering at Wuxi University and a researcher specializing in Internet of Things (IoT) security. His research focuses on malware propagation analysis in heterogeneous IoT and wireless sensor networks, combining epidemiological modeling, complex network theory, and machine learning techniques to understand and mitigate large-scale cyber threats. He has made notable contributions to malware homology detection using visualized images and feature fusion, as well as to the identification of influential spreaders in complex networks through novel ranking methods. His work has been published in reputable international journals such as IEEE Systems Journal, PeerJ Computer Science, Entropy, and PeerJ Computer Science, reflecting strong interdisciplinary impact across cybersecurity, network science, and intelligent systems. Through these contributions, his research advances theoretical modeling and practical defense strategies for securing next-generation IoT infrastructures.

 

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Ms. Victoria Akintayo | Genomics | Research Excellence Award 

Ms. Victoria Akintayo | Genomics | Research Excellence Award 

Fujian Agriculture and Forestry University | China

Victoria Oluwapelumi Akintayo is a plant breeding and genetics researcher with strong interdisciplinary expertise spanning crop improvement, molecular genetics, sustainability, and community-driven agricultural development. Her research focuses on understanding the genetic and molecular mechanisms underlying plant stress tolerance, nutrient efficiency, and heavy metal accumulation, with particular emphasis on economically important crops such as cassava, maize, and bast fiber crops. She has applied advanced genomic and molecular approaches, including marker development, BSA-seq, RNA-seq, and quantitative data analysis, to identify candidate genes relevant to crop resilience and productivity. Beyond laboratory and field-based research, she is deeply engaged in circular economy initiatives, youth capacity-building, and environmentally sustainable agriculture, integrating scientific innovation with social impact. Her work has been recognized through competitive international awards, peer-reviewed publications in high-impact journals, and leadership roles in global food systems and sustainability platforms.



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Prof. Valentina Feodorova | Bioinformatics | Research Excellence Award

Prof. Valentina Feodorova | Bioinformatics | Research Excellence Award

Saratov State University for Genetics, Biotechnology and Engineering named after N.I. Vavilov | Russia

Valentina A. Feodorova is a distinguished professor and laboratory head with internationally recognized expertise in microbiology, immunology, and infectious disease research. Her scientific work focuses on molecular immunology, zoonotic and anthroponotic infections, vaccine and immunodiagnostic development, and host–pathogen interactions, with particular emphasis on highly dangerous and emerging infectious agents. She has made significant contributions to understanding immune mechanisms, allergology, and microbial pathogenesis, integrating classical microbiology with modern molecular and bioinformatics approaches. Her research leadership spans academic, veterinary, and federal research institutions, where she has guided multidisciplinary teams and advanced translational research in biodefense, biosafety, and nanobiotechnology. Widely published and actively engaged in international scientific communities, Professor Feodorova is recognized for her impact on infectious disease prevention, diagnostics, and immunological innovation.

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Prof. Akiko Morimoto | social science | Research Excellence Award 

Prof. Akiko Morimoto | social science | Research Excellence Award 

Osaka Metropolitan University | Japan

Professor Akiko Morimoto is a leading researcher in nursing informatics and nursing data science, with a strong interdisciplinary focus on evidence-based practice, cardiovascular epidemiology, and health communication. Her research integrates large-scale health data, informatics methodologies, and behavioral science to improve clinical decision-making, nursing education, and patient outcomes. She has made significant contributions to understanding social determinants of health, health literacy, work-related health burdens, and lifestyle-related risk factors across diverse populations. Her work also advances evidence-based nursing education through the development and evaluation of innovative educational programs and clinical scenarios. With an extensive publication record in high-impact international journals, Professor Morimoto’s research has influenced both academic scholarship and practical applications in healthcare systems, contributing to the advancement of data-driven, patient-centered nursing practice.

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Dr. Emmanuelle Jeannot | Circulating tumor DNA | Research Excellence Award 

Dr. Emmanuelle Jeannot | Circulating tumor DNA | Research Excellence Award 

Institut Curie | France 

Emmanuelle Jeannot is a clinical scientist specializing in molecular oncology with a strong focus on circulating tumor DNA and droplet digital PCR–based diagnostics. Her research has led to the development of highly sensitive assays for detecting clinically relevant genetic alterations, including ESR1 mutations in breast cancer, contributing to improved monitoring of treatment resistance and resulting in a patented innovation. She has also made significant contributions to HPV-related cancer research by demonstrating the utility of circulating HPV DNA as a robust biomarker for disease monitoring, treatment response assessment, and early relapse detection. Through her involvement in large multicenter clinical trials and research consortia, her work has had a direct translational impact, integrating advanced molecular tools into routine clinical and precision oncology practice.

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

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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