Kevin Clark | Neuroscience | Research Excellence Award

Dr. Kevin Clark | Neuroscience | Research Excellence Award

Oregon State Universitys |United States

Kevin B. Clark, Ph.D., is a neuroscientist and interdisciplinary researcher with extensive experience spanning behavioral neuroscience, neuropsychology, computational biology, and translational science. He received advanced academic training at Oregon State University, Southern Illinois University, and the Max Planck Institute for Biological Cybernetics, where his work integrated psychology, physiology, and cognitive systems research. His professional career includes long-term service as a postdoctoral fellow, laboratory coordinator, and research scientist across academic, federal, and international research institutions, including the Veterans Affairs Healthcare System and the Max Planck Society. Dr. Clark has held senior leadership and advisory roles in scientific foundations, biotechnology consulting, conservation science, astrobiology, and advanced computing initiatives supported by organizations such as NASA, NSF, IEEE, and the National Academies of Sciences. His research interests focus on neural systems, cognitive processing, neurolinguistics, complex biological systems, neurotechnology, and data-driven approaches to understanding behavior and disease. His scholarly output, as reflected in Google Scholar metrics, includes a sustained record of peer-reviewed publications, cumulative citations, and a measurable h-index demonstrating long-term research impact. Dr. Clark’s career reflects a unique synthesis of scientific innovation, mentorship, and cross-sector collaboration, contributing to both fundamental neuroscience and applied societal challenges.

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Featured Publications

Jiuping Xu | Petroleum Engineering | Best Researcher Award

Prof. Jiuping Xu | Petroleum Engineering | Best Researcher Award

Sichuan University, Business School | China

Prof. Jiuping Xu of Sichuan University is a distinguished scholar whose research spans applied mathematics, system science and complex-systems engineering, with a focus on decision and technology innovation for large-scale energy, environment, water-resource, circular economy and health-management systems. Educated with a PhD in applied mathematics from Tsinghua University under Prof. Shutie Xiao and a second PhD in physical chemistry from Sichuan University under Prof. Jiuli Luo, he has built a career at the interface of mathematics and engineering practice. He formulated the “TS-MG-AC” (Theory Spectrum Model Group Algorithm Cluster) paradigm for multivariate-multilevel systems, and developed multilevel dynamic equilibrium approaches in areas such as water allocation, circular economy systems and hydropower project management. His applied work has delivered significant societal and economic impact (for example in post-earthquake ecosystem reconstruction, irrigation-district water allocation and large hydropower construction). With an h-index of approximately 62 and over 14,979 citations, his publication output and influence are substantial. He has held leadership roles in major engineering-science teams and has contributed to policy formulation in China for resource, seismic-ecosystem and environmental systems. His research interests include fuzzy logic, multi-criteria decision making, large-scale system optimisation, circular economy modelling and low-carbon infrastructure innovation. In conclusion, Professor Xu is a prolific and impactful systems-engineer-scientist whose theoretical and applied contributions bridge mathematics, optimisation, engineering and environmental-economics to address pressing global challenges.

Profile : Scopus

Featured Publications

Xu, J., et al. (2025). Comprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approach. Scientific Reports.

Xu, J., et al. (2025). Parental expectation and psychological distress of Chinese youth: The chain mediating effects of core self-worth and perceived stress. BMC Public Health.

Xu, J., et al. (2025). A co-gasification strategy of residual municipal solid waste and biomass for electricity generation optimization and carbon reduction. Energy.

Xu, J., et al. (2025). Predict-then-optimise based day-ahead scheduling towards demand response and hybrid renewable generation for wastewater treatment. Applied Energy.

Xu, J., et al. (2025). Industrial prosumption-based energy transition technologies investigation for wastewater sector. Renewable and Sustainable Energy Reviews.