Erick Ochoa-Chaparro | Plant Physiology | Young Scientist Award

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Dr. Erick Ochoa-Chaparro | Plant Physiology | Young Scientist Award

CIAD | Mexico

An Electronics Engineer and Master’s graduate in Agribusiness Management, he is a full-time professor in Mechatronics with strong experience in precision agriculture, IoT systems, and industrial processes. He is currently pursuing a Doctorate in Science, researching the effects of zinc nanoparticles on germination, photosynthesis, and nitrogen assimilation in Capsicum annuum L. His professional background includes academic leadership, process engineering in the beverage industry, and entrepreneurship in the agri-food sector. Recognized for academic excellence at undergraduate and master’s levels, his work integrates engineering and agricultural sciences to promote innovation, sustainability, and long-term collaboration within stable, technology-driven organizations.

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Featured Publications

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.

Profile : Scopus

Featured Publication

 

Xiaodong Yan | Sustainable Agriculture | Best Scholar Award

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Mr. Xiaodong Yan | Sustainable Agriculture | Best Scholar Award

Business School | China

Dr Xiaodong Yan is a doctoral candidate at the Business School of Hohai University in Nanjing, China, following an M.S. in Geographical Sciences from Liaoning Normal University and a B.S. in Hydraulic & Electric Power from Heilongjiang University. His research focuses on the coupling and spatial-transfer dynamics of the water-energy-food nexus, particularly in the context of Chinese provinces and inter-regional networks, as evidenced by several published articles including one in Resources, Conservation & Recycling. As of now, he has an h-index of 5, with 191 citations and 12 academic publications, reflecting his growing impact in the fields of environmental systems and sustainable development. Through his master’s research he demonstrated proficiency in tools such as ArcGIS, EViews and MATLAB, published five papers during that period, and received multiple honours including “Outstanding Graduates of Liaoning Province 2020”, “Outstanding Master’s Thesis” and “Outstanding Student Cadre”. His strong self-regulation, rigorous research attitude and critical-thinking skills underpin his work bridging resource-system modelling, input-output frameworks and ecological network analysis. Going forward he aims to deepen understanding of resource-system security and spatial nexus interdependencies, contributing to sustainable regional development.

Profiles: Scopus | Orcid

Featured Publications

Wang, F., Cao, Y., & Yan, X. (2025). A novel prediction framework for the impact of climate change on spring maize yield in major grain producing areas. Environment, Development and Sustainability.

Chen, J., Wang, Y., Ding, T., & Yan, X. (2025). Evaluation and analysis of urban ecosystem health with an optimized machine-learning model to promote ecological differentiated management in metropolitan areas. Journal of Urban Planning and Development.

Yan, X., Wang, F., Wan, X., Han, M., & Xu, J. (2025). Promotion or inhibition? Pathways and impact characteristics analysis of carbon emissions in urban water systems under water-carbon-society multi-factor interactions. Sustainable Cities and Society.

Guo, S., & Yan, X. (2025). Investigation of industrial structure upgrading, energy consumption transition, and carbon emissions: Evidence from the Yangtze River Economic Belt in China. Sustainability.

Wan, X., Tian, G., Xia, Q., Yan, X., Ban, Q., & Zhao, Q. (2025). Spatial and temporal evolution of the physical-virtual water cycle and its economic coupling effects in China: A material flow analysis perspective. Journal of Cleaner Production

Seyed Matin Malakouti | Climate Change | Best Researcher Award

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Mr. Seyed Matin Malakouti | Climate Change | Best Researcher Award

Amirkabir University of Technology | Iran

Seyed Matin Malakouti holds an MS in Electrical Engineering (Control Systems) from the University of Tabriz, Iran (2019-2022) following a BS in Electrical Engineering from the Isfahan University of Technology, Iran. He has been active since 2022 in machine learning research, applying algorithms to biomedical engineering, renewable energy and optimization problems. His output includes over 10 peer-reviewed journal articles in Q1 and Q2 journals published between 2023-2025; one example is his work on wind-power generation prediction that has accrued 81 citations. While a formal comprehensive bibliometric profile is not publicly documented, his documented work suggests approximately 21documents, 612 citations, and an estimated h-index of 14. Malakouti’s research interests encompass applied machine learning, biomedical engineering, renewable energy systems, optimization and fuzzy logic. He has also contributed as a peer-reviewer for multiple journals (e.g., IEEE Access, Scientific Reports, Environmental Challenges) and is actively seeking a PhD position to expand his research portfolio. In summary, Malakouti is an emerging researcher committed to advancing machine-learning methodologies for engineering and environmental applications, bridging academic theory with real-world data-driven solutions.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Malakouti, S. M. (2025). Enhanced epilepsy detection using discrete wavelet transform and bandpass filtering on EEG data: Integration of ART-based and LVQ models. Clinical eHealth. Advance online publication.

Malakouti, S. M. (2025). From accurate to actionable: Interpretable PM₂.₅ forecasting with feature engineering and SHAP for the Liverpool–Wirral region. Environmental Challenges. Advance online publication.

Malakouti, S. M., Menhaj, M. B., & Suratgar, A. A. (2025). Efficiency and accuracy comparison of machine learning algorithms for predicting U.S. energy consumption across sectors. South African Journal of Chemical Engineering.

Ansari, I., Hassani, K., Malakouti, S. M., & Suratgar, A. A. (2025). Predicting electrical energy consumption for Finland using a CNN–LSTM hybrid model. Next Research.

Malakouti, S., Menhaj, M. B., & Suratgar, A. A. (2024). Machine learning and transfer learning techniques for accurate brain tumor classification. Clinical eHealth, 8, Article 08.001.