Linchao Li | Sustainable Agriculture | Young Innovator Award

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Dr. Linchao Li | Sustainable Agriculture | Young Innovator Award

Inner Mongolia Agricultural University | China

Linchao Li is an agricultural and environmental scientist specializing in climate change impacts on crop systems, extreme weather analysis, and data-driven yield prediction. He is currently an Associate Professor at Inner Mongolia Agricultural University and previously served as a Postdoctoral Research Associate at Iowa State University, with international research experience as a joint PhD student at the NSW Department of Primary Industries, Australia. Dr. Li earned his PhD in Agricultural Resources and Environment from Northwest A&F University, following a master’s degree in Hydraulic Engineering and a bachelor’s degree in Agricultural Water Conservation Engineering. His research integrates machine learning, crop modeling, and multi-source environmental data to improve projections of crop yield, drought risk, precipitation extremes, and greenhouse gas emissions under climate change. He has published extensively in leading journals such as One Earth, Nature Food, Global Change Biology, Agricultural and Forest Meteorology, and Communications Earth & Environment. His work contributes to reducing uncertainty in agricultural climate impact assessments and supporting climate-resilient farming systems. Dr. Li has participated in nationally and internationally funded research projects related to climate adaptation, drought evolution, and sustainable agriculture. With strong expertise in R, MATLAB, GIS, APSIM, AquaCrop, and hydrological models, he continues to advance interdisciplinary research bridging climate science, agronomy, and decision-support systems.

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Moncef Bouaziz | Soil Fertility | Research Excellence Award

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Dr. Moncef Bouaziz | Soil Fertility | Research Excellence Award

TU Bergakademie Freiberg | Germany

Dr. Moncef Bouaziz is an environmental engineer and remote sensing specialist with extensive academic and applied research experience in environmental monitoring, geospatial analysis, and decision-support systems. He earned his PhD in Environmental Remote Sensing from TU Bergakademie Freiberg, following advanced training in environmental engineering and water and soil management. Since 2022, he has served as scientific staff at TU Bergakademie Freiberg, where he develops spatial decision support systems for post-mining environmental change assessment, leads 3D modeling and platform development, and applies machine learning techniques in Python for remote modeling and forecasting. His academic experience includes prior appointments as an assistant professor at the University of Sfax and as scientific staff at TU Dresden, contributing to projects on land degradation, aeolian dynamics, drought assessment, and ecosystem monitoring. Dr. Bouaziz has coordinated and participated in several nationally and internationally funded research initiatives, including DAAD-supported climate change education platforms and European environmental monitoring programs. His research interests focus on remote sensing–based land degradation analysis, drought prediction, climate change impacts, post-mining hazard assessment, and the integration of machine learning with geospatial data. He has authored numerous peer-reviewed publications in high-impact international journals and actively supervises graduate and undergraduate students. Through interdisciplinary research, teaching, and international collaboration, he aims to advance sustainable environmental management and evidence-based spatial planning.

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Dimitrios Adamis | Psychiatry | Research Excellence Award

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Prof. Dr. Dimitrios Adamis | Psychiatry | Research Excellence Award

HSE | Ireland

Dimitrios Adamis is a consultant psychiatrist and academic researcher with established expertise in adult Attention Deficit Hyperactivity Disorder and delirium. He completed doctoral training at University College Dublin and holds honorary professorial appointments at the University of Galway, the University of Limerick, and University College Dublin. His professional experience combines clinical psychiatry within public health systems with advanced academic research, particularly in outcome measurement and longitudinal data analysis. Research interests focus on adult ADHD, delirium, attention disorders, neuropsychiatric comorbidities, and the development and validation of clinical assessment tools. He has led and contributed to numerous national and international research projects and has authored 139 peer-reviewed scientific documents, accumulating 3,032 citations with an h-index of 30, reflecting sustained research impact. He developed the Adult ADHD Clinical Outcome Scale , a widely used tool for assessing treatment outcomes, and co-authored Ireland’s national “Model of Care for ADHD in Adults,” contributing directly to service development and health policy. His work on delirium has advanced understanding of its epidemiology, subtypes, and diagnostic challenges, particularly in older adults. Through editorial appointments, interdisciplinary collaborations, and evidence-based research, his contributions continue to influence psychiatric practice, clinical research standards, and mental health policy at national and international levels.

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Occupational stress in teachers in Ireland as Covid-19 pandemic persisted

– International Journal of Educational Research Open, 2022

Junseop Shin | Neuroscience | Research Excellence Award

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Mr. Junseop Shin | Neuroscience | Research Excellence Award

School of Psychology, Korea University | South Korea

Junseop Shin is an undergraduate researcher in psychology and neuroscience at Korea University, where he is pursuing a B.S. in Psychology & Neuroscience and has been admitted to an integrated Bachelor’s–Master’s program in Social Neuroscience beginning in 2025. His academic training focuses on the neural mechanisms underlying social cognition, affect, and decision-making. He currently serves as a Research Assistant in the Social Decision Neuroscience Lab at Korea University, where he supports experimental design, data preprocessing, and neuroimaging analyses, applying fMRI methods using SPM and MATLAB to investigate social and cognitive processes. In parallel, he works as a Research Assistant in the Clinical Affective Neuroscience Lab at Yonsei University, contributing to a national research project examining shared and distinct pathophysiological mechanisms of depression and anxiety through machine-learning approaches. His responsibilities include drafting IRB protocols, preparing research proposals, and managing participant screening and behavioral data collection for studies on affective disorders and misophonia. Junseop has authored a peer-reviewed publication in NeuroImage and has presented his work at national and international conferences, including the Korean Society of Human Brain Mapping and the American Psychological Association. His research interests lie in social and affective neuroscience, self-related processing, psychiatric neurobiology, and computational approaches to mental health. Through interdisciplinary training and collaborative research, he aims to advance the understanding of brain-based mechanisms underlying social behavior and psychopathology.

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Neslihan Bal | Plant Pest Insects | Excellence in Research award

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Assoc. Prof. Dr. Neslihan Bal | Plant Pest Insects | Excellence in Research award

Gazi University | Turkey

Dr. Neslihan Bal is a Doctor Faculty Member in the Department of Biology, Faculty of Science, Gazi University, Ankara. She completed her higher education in biology with a specialization in entomology and has developed strong expertise in insect morphology, taxonomy, and ultrastructural analysis. Her academic career is marked by extensive experience in teaching, research, and scientific publishing, particularly in the use of light microscopy and scanning electron microscopy (SEM) for taxonomic and systematic studies of Coleoptera and Hemiptera. Dr. Bal has authored and co-authored numerous peer-reviewed articles published in internationally indexed journals, including SCI-Expanded journals, with several papers ranked in Q1 and Q2 quartiles. Her research interests focus on insect genital morphology, ultrastructure of reproductive organs, systematics and taxonomy of beetles, biodiversity, invasive species, and the impacts of climate change on insect distribution. She has contributed significantly to the description of new species, new records for the Turkish fauna, and comparative morphological analyses with taxonomic significance. Through national and international collaborations, she actively supports the advancement of entomological research. Dr. Bal’s scientific contributions have strengthened the understanding of insect diversity in Türkiye and surrounding regions, and she continues to play an important role in training young researchers and advancing microscopy-based biological research.

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Sozan Elabeid | Plant Pathology | Excellence in Crop Improvement

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 Assoc. Prof. Dr. Sozan Elabeid | Plant Pathology | Excellence in Crop Improvement

Agricultural Research Center | Egypt

Sozan E. El-Abeid is a Senior Researcher in the Mycology and Disease Survey Research Department at the Plant Pathology Research Institute, Agricultural Research Center, Egypt. She has developed her scientific career through progressive research positions at ARC, supported by international postdoctoral training at the Spanish National Research Council . With more than two decades of research experience, her work focuses on plant disease diagnosis, fungal taxonomy, and molecular identification of plant pathogens, contributing to improved diagnostic and management strategies. Her research interests include fungal endophytes, biological control agents, green and biogenic nanomaterials, nano-enabled delivery systems, and biosafety and environmental health in agriculture. She has authored over 30 peer-reviewed JCR-indexed scientific publications, achieving an h-index of 9 with 378 total citations, reflecting the impact of her research within the plant pathology and agricultural biotechnology fields. She has supervised postgraduate research, acted as a scientific reviewer for leading international journals, and participated in several national and international research projects addressing quarantine pathogens, regenerative agriculture, nanotechnology, and sustainable crop protection. Her research aims to advance environmentally safe and innovative approaches for integrated plant disease management, supporting sustainable and resilient agricultural production systems.

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San Nyunt Nan | Sustainable Agriculture | Research Excellence Award

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Ms. San Nyunt Nan | Sustainable Agriculture | Research Excellence Award

National Taiwan University | Taiwan

Nan San Nyunt is an agricultural professional from a farming community with a strong focus on climate-smart agriculture, crop modeling, and sustainable farming practices. She earned her M.Sc. in Global Agriculture Technology and Genomic Science from National Taiwan University, where she conducted research on climate change risk assessment and adaptation strategies for potato production in Myanmar using the DSSAT model. Her bachelor’s degree in Agricultural Science from Yezin Agricultural University involved experimental work on controlling root-knot nematodes in tomato crops. Nan has extensive experience working with NGOs and international organizations, leading farmer-centered initiatives, capacity-building programs, and agricultural innovation projects. She co-founded Taungthutada (TTTD), managing projects aimed at food security, women’s empowerment in agribusiness, and improving access to innovative agricultural services. Her roles include research assistant and teaching assistant at National Taiwan University, where she focuses on crop modeling, crop rotation simulations, and research manuscript preparation. She has presented her work at international conferences and published research on the impacts of climate change on potato production. Nan’s interests include crop modeling, agronomic research, climate adaptation strategies, and sustainable agricultural value chains. She has been recognized with the NTU-SEARCA Joint Scholarship for her academic and research excellence. Nan continues to bridge research and practice to advance climate-resilient agriculture.

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Gaurav Raturi | Sustainable Agriculture | Young Scientist Award

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Dr. Gaurav Raturi | Sustainable Agriculture | Young Scientist Award

Texas Tech University | United States

He has received several prestigious awards, including the travel award for the Anvi’o Workshop and ECR Symposium in Germany, the AMI Young Scientist Award (Agriculture Microbiology), the Best Poster Award at ICPR, the Swachhta Saarthi Fellowship, ICAR-NET, CSIR-UGC NET-JRF (AIR 66) and NET-LS (AIR 30), and the Uttarakhand SET. He serves on the editorial boards of BMC Plant Biology, Genome Editing in Plants, IJMB, Cellular Microbiology (Hindawi), and BioMed Research International, and has reviewed more than ten manuscripts for reputed journals such as Scientific Reports, JAR, PLOS One, and BNRC. He is an active member of AMI, ISSAG, ASHS, ASPB, YESS, and the South American Mycorrhizal Research Network. His Ph.D. work led to the discovery and characterization of silicate-solubilizing Enterobacter sp. LR6, whose 16S rRNA and whole-genome sequence have been deposited in NCBI. He has presented his work at numerous national and international conferences, including the IGCAST Symposium, Soy, ASPB Plant Biology, and ICPR, and has undergone training in genomics, membrane protein simulations, microbial fermentation, and water-quality monitoring. Overall, Dr. Gaurav Raturi is an accomplished early-career scientist contributing significantly to sustainable agriculture, microbial biotechnology, and plant–microbe symbiosis research.

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Joseph Ovwemuvwose | Plant Ecology | Research Excellence Award

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Mr. Joseph Ovwemuvwose | Plant Ecology | Research Excellence Award

Imperial College | United Kingdom

Dr. Joseph Ovwemuvwose is a Ph.D. candidate in next-generation global biogeochemical cycle modelling at Imperial College London (2022–2026), supervised by Prof. Ian C. Prentice and Dr. Heather Graven. He holds an MSc in Crop Improvement from the University of Nottingham and a BSc in Plant Biology and Biotechnology from the University of Benin. His research focuses on global carbon flux modelling, land-use change impacts, terrestrial biosphere models, and carbon cycle feedbacks under rising CO₂. He has developed algorithms in Python to classify global vegetation by carbon use, evaluated and compared multiple global models for land-use and CO₂ sensitivity, and is author of a manuscript (under review) on uncertainty in land carbon fluxes simulated by CMIP6 models. Beyond modelling, he has conducted experimental work on plant water uptake and carbon allocation using portable NMR during a post-graduate stint in Montpellier/IRD. His experience spans project coordination (including a pan-African modelling-training initiative), science communication (working with the Science Museum Group), and teaching at Imperial College. He has presented at multiple international conferences and secured funding for collaborative research. Recipient of a fully-funded Chevening MSc scholarship and a Shell Petroleum Development Company undergraduate scholarship, he combines strong academic credentials, interdisciplinary experience, and a passion for bridging science, education, and public engagement.

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Shiva Vaheb Hosseinabadi | Genetics and Bioinformatics | Young Scientist Award

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Ms. Shiva Vaheb Hosseinabadi | Genetics and Bioinformatics | Young Scientist Award

Zist Fanavari Novin biotechnology Institute | Iran

Dr. Shiva Vaheb Hosseinabadi is a molecular and cellular biologist and researcher currently serving as a molecular-techniques instructor and research supervisor at Zist Fanavari Novin Biotechnology Institute (since 2024). She earned her M.Sc. in Cellular and Molecular Sciences from Razi University (2019) and a B.Sc. in Molecular and Cellular Biology-Genetics from Islamic Azad University of Falavarjan. Her research and technical expertise span gene expression analysis, neurogenetics, cancer genomics, mutation analysis, next-generation sequencing (NGS), and bioinformatics. She has contributed to over a dozen peer-reviewed research articles — including studies on microRNA regulation in Parkinson’s disease models, co-frameshift mutations in acute myeloid leukemia, neurotoxicity attenuation via miR-361-5p, and exploration of lncRNA–miRNA networks in various cancers — with total publications exceeding 15 and cumulative citations in the low hundreds [exact citation count varies by database]. Dr. Hosseinabadi is proficient in molecular lab techniques (PCR/qPCR, cell culture, NGS), data analysis (R, Python, SPSS), and bioinformatics workflows. Her dual role as scientist and educator allows her to translate cutting-edge genetic research into practical training and application, contributing to advances in personalized medicine, neurogenetics, cancer biomarker discovery, and genomic diagnostics. Her ongoing work, including a 2025 book on cancer diagnostics and drug-resistance, underscores her commitment to bridging research and clinical translation.

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Hosseinabadi, S. V., Tahamtan, H., Esfahani, M. M., Ghaedi-Heidari, R., Hashemi, M. S., Peymani, M., Sisakhtnezhad, S., Fahimi, H., & Ghaedi, K. (2025). Upregulation of miR-361-5p attenuates MPP+-induced neurotoxicity in dopaminergic SH-SY5Y cells as a Parkinson’s disease model. Journal of Biological Chemistry.

Roshani, H. R., Nasiri, A., Sattari, A., Rasaei, S., Karimian, P., Jannesari, F., … Hosseinabadi, S. V., & Azadeh, M. (2025). Uncovering an ADH1C–lncRNA regulatory axis linking alcohol metabolism to diagnostic potential in colorectal, breast, and gastric cancers.

Ghasroldasht, M. M., Hosseinabadi, S. V., Ebrahimi Askari, R., & Lotfalipour, R. (2025). Novel co-frameshift mutations in N- and C-terminal regions of CEBPA in acute myeloid leukemia: A case report. Cancer Genetics.

Esfahani, M. M., Mostashfi, M., Hosseinabadi, S. V., Hashemi, M. S., Peymani, M., & Nasr-Esfahani, M. H., et al. (2024). Unveiling the regulatory role of miR-101-3p on ZNF746 in a Parkinson’s disease cell model: Implications for therapeutic targeting. Neuroscience Research.