Hector Galindo-Silva | Research Excellence | Best Researcher Award

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Assoc. Prof. Dr. Hector Galindo-Silva | Research Excellence | Best Researcher Award

Assoc. Prof. Dr. Hector Galindo-Silva | Pontificia Universidad Javeriana | Colombia

Dr. Héctor Galindo-Silva is a distinguished scholar in economics whose research bridges political economy, institutional development, and conflict analysis. He completed his doctoral studies in Economics at Université de Montréal, followed by a postdoctoral fellowship at Universitat Pompeu Fabra’s Institute of Political Economy and Governance (IPEG). His academic journey reflects a deep interdisciplinary foundation, combining expertise in economics, philosophy, and the social sciences. Currently serving as an Associate Professor of Economics at Pontificia Universidad Javeriana, he has previously taught at Université de Montréal and held teaching appointments in both economics and philosophy. His teaching portfolio includes courses on political economy, microeconomics, conflict economics, and the economic analysis of social interactions. Dr. Galindo-Silva’s research explores the intersection of political institutions, conflict dynamics, religion, and economic outcomes. His publications have appeared in leading international journals such as the Journal of Public Economics, Economics & Politics, European Journal of Political Economy, Journal of Comparative Economics, Journal of Population Economics, and Journal of Economic Behavior & Organization. His recent work addresses themes such as ideological ambiguity, religious competition, education and gender norm transformation, and the political impact of climate change. In addition to his scholarly output, he has contributed to major research collaborations using big data and network theory, and his studies often integrate empirical and theoretical approaches to understand social and political processes. He serves as Associate Editor of Humanities and Social Sciences Communications and regularly reviews for high-impact journals in economics and political science. Throughout his career, Dr. Galindo-Silva has presented his research at numerous international conferences and academic institutions across Europe and the Americas, earning recognition for his analytical depth and interdisciplinary engagement in contemporary political economy.

Profile: Google Scholar

Featured Publications 

Galindo, H., Restrepo, J., & Sánchez, F. (2009). Conflicto y pobreza en Colombia: Un enfoque institucionalista. In Guerra y violencias en Colombia: Herramientas e interpretaciones (pp. 315–351). Universidad Javeriana.

Galindo-Silva, H. (2015). New parties and policy outcomes: Evidence from Colombian local governments. Journal of Public Economics, 126, 86–103. https://doi.org/10.1016/j.jpubeco.2015.04.004

Galindo-Silva, H., Some, N. H., & Tchuente, G. (2018). Fuzzy difference-in-discontinuities: Identification theory and application to the Affordable Care Act. arXiv preprint arXiv:1812.06537.

Galindo-Silva, H. (2021). Political openness and armed conflict: Evidence from local councils in Colombia. European Journal of Political Economy, 67, 101984. https://doi.org/10.1016/j.ejpoleco.2020.101984

Galindo-Silva, H., & Tchuente, G. (2023). Armed conflict and early human capital accumulation: Evidence from Cameroon’s Anglophone conflict. arXiv preprint arXiv:2306.13070.

Ajit Yadav | Research Excellence | Best Researcher Award

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Mr. Ajit Yadav | Research Excellence | Best Researcher Award

Mr. Ajit Yadav | Indian Institute of Technology Indore | India

Mr. Ajit Yadav is a Ph.D. Scholar in Electrical Engineering at the Indian Institute of Technology (IIT) Indore, specializing in two-dimensional transition metal dichalcogenide (2D-TMD)-based IoT-enabled biosensors for early disease detection. His research integrates nanomaterials synthesis via chemical vapor deposition (CVD) with smart sensor technology, enabling real-time and highly sensitive biomolecule detection. He has two granted patents on point-of-care diagnostic systems and toxic gas detection technologies and has published three peer-reviewed papers in leading SCI-indexed journals such as the IEEE Sensors Journal and Journal of Electroanalytical Chemistry. His collaborative projects with AIIMS Bhopal and RMIT University, Australia, strengthen the biomedical application and global impact of his work. Through innovative sensor design, IoT integration, and interdisciplinary collaboration, Mr. Yadav’s research contributes to the advancement of portable, scalable, and intelligent biosensing platforms, supporting the future of personalized healthcare and environmental monitoring.

Profile: Orcid | Google Scholar

Featured Publications

Verma, V. K., Patel, C., Chaudhary, S., Yadav, A., Bajoria, P., Ako, R. T., Sriram, S., & Mukherjee, S. (2025). Pd-loaded MoS₂ nanoflowers for enhanced room-temperature methanol sensing. IEEE Sensors Journal, 25(2), 2186–2193. https://doi.org/10.1109/JSEN.2024.3506014

Yadav, A., Patel, C., Kanwar, J. R., Sriram, S., & Mukherjee, S. (2025). Miniaturized IoT-enabled MoS₂-based electrochemical sensor for real-time adenine monitoring. Journal of Electroanalytical Chemistry, 119564. https://doi.org/10.1016/j.jelechem.2025.119564

Yadav, A., Patel, C., Verma, V. K., Kanwar, J. R., Sriram, S., & Mukherjee, S. (2025). A point-of-care and IoT-enabled MoS₂-based sensor for uric acid detection in human serum. IEEE Sensors Journal, 25(20), 37714–37721. https://doi.org/10.1109/JSEN.2025.3609535

Yu Lan Wang | Research Excellence | Best Researcher Award

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Prof. Dr. Yu Lan Wang | Research Excellence | Best Researcher Award

Prof. Dr. Yu Lan Wang | Inner Mongolia University of Technology | China

Professor Yu Lan Wang is a distinguished researcher at Inner Mongolia University of Technology, recognized for her impactful contributions to computational mathematics, numerical analysis, and nonlinear science. She has published 61 scholarly works, which have been cited in over 839 publications, 16 h-index, Demonstrating her strong influence and academic reach. Her research has been acknowledged through a solid citation record and a notable research index, highlighting both the quality and depth of her contributions. By advancing high-precision methods for fractional-order systems and uncovering novel chaotic behaviors, she continues to inspire innovation across mathematics, physics, and engineering.

Profile: Scopus | Orcid

Featured Publications

Zhang, S., Zhang, H., Wang, Y., & Li, Z. (2025). Dynamic properties and numerical simulations of a fractional phytoplankton–zooplankton ecological model. Networks and Heterogeneous Media, 20(2), Article 028.

Zhang, H., Wang, Y., Bi, J., & Bao, S. (2025). Novel pattern dynamics in a vegetation–water reaction–diffusion model. Mathematics and Computers in Simulation. Advance online publication.

Wang, X., Zhang, H., Wang, Y., & Li, Z. (2025). Dynamic properties and numerical simulations of the fractional Hastings–Powell model with the Grünwald–Letnikov differential derivative. International Journal of Bifurcation and Chaos. Advance online publication.

Han, Y., Zhang, J., & Wang, Y. (2024). Dynamic behavior of a two-mass nonlinear fractional-order vibration system. Frontiers in Physics, 12, 1452138.

Ning, J., & Wang, Y. (2024). Fourier spectral method for solving fractional-in-space variable coefficient KdV–Burgers equation. Indian Journal of Physics, 98, 1865–1875.

Tian, F., Wang, Y., & Li, Z. (2024). Numerical simulation of soliton propagation behavior for the fractional-in-space NLSE with variable coefficients on unbounded domain. Fractal and Fractional, 8(3), 163.

Zhang, S., Zhang, H., Wang, Y., & Li, Z. (2024). Research on dynamical behavior of a phytoplankton–zooplankton ecological model. Research Square. Preprint.

Gao, X., Zhang, H., Wang, Y., & Li, Z. (2024). Research on pattern dynamics behavior of a fractional vegetation–water model in arid flat environment. Fractal and Fractional, 8(5), 264. 

Zhao, L., & Zhang, W. (2024). Fourier spectral method for the fractional-in-space coupled Whitham–Broer–Kaup equations on unbounded domain. Open Physics, 22(1), 781–795.

Gao, X., Li, Z., & Wang, Y. (2024). Chaotic dynamic behavior of a fractional-order financial system with constant inelastic demand. International Journal of Bifurcation and Chaos, 34(7), 2450111.

Zhang, W., Wang, H., Zhang, H., Li, Z., & Li, X. (2024). Dynamical behavior of the fractional BBMB equation on unbounded domain. Fractal and Fractional, 8(7), 383.

Gao, X., Wang, Y., & Li, Z. (2023). High-precision numerical methods for a class of fractional-order financial systems with constant inelastic demand. SSRN.

Tang, W., Wang, Y., & Li, Z. (2023). Numerical simulation of fractal wave propagation of a multi-dimensional nonlinear fractional-in-space Schrödinger equation. Physica Scripta, 98(2), 025212.

Dai, D., Li, X., Li, Z., Zhang, W., & Wang, Y. (2023). Numerical simulation of the fractional-order Lorenz chaotic systems with Caputo fractional derivative. Computer Modeling in Engineering & Sciences, 135(2), 481–499.

Charles Andre Nieves | Research Excellence | Young Researcher Award

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Mr. Charles Andre Nieves | Research Excellence | Young Researcher Award 

University Of The Immaculate Conception | Philippines

Charles Andre F. Nieves, LPT, MAEM, is a licensed professional teacher, researcher, and academic leader with a distinguished record of excellence in education, research, and international collaboration. A Cum Laude graduate of the University of the Immaculate Conception, he has earned a Master of Arts in Educational Management, pursued advanced studies in language teaching and research methodologies, and gained international exposure through programs in Malaysia and Indonesia. With teaching experience spanning basic education and higher education—including his current role as a College Linguist Professor and International Office Coordinator—he combines expertise in educational management, linguistics, and curriculum development. His contributions include published research on artificial intelligence in teaching, ongoing cross-linguistic studies, and leadership in student organizations, training workshops, and international academic events. Recognized with numerous awards for excellence, leadership, and service, he continues to advance innovations in teaching, research, and global education partnerships.

Profile: Orcid

Featured Publications

Nieves, C. A. F., Baldonado, C. C., Mamonong, V. H., Aytong, N. E., Muslim, A. B., & Ja’afar, S. B. (2025). Cognate relations of basic lexical inventory development among Filipino, Indonesian, and Malay languages. Cogent Arts & Humanities, 12(1), 2549404.

Xingyu Xiao | Research Excellence | Innovative Research Award | 2397

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Dr. Xingyu Xiao | Research Excellence | Innovative Research Award

Dr. Xingyu Xiao | Tsinghua University | China

Xingyu Xiao is a doctoral researcher in Reliability Engineering and Safety Analysis at Tsinghua University, with a strong background in safety engineering from the University of Science and Technology Beijing. His research focuses on risk-informed decision support, human reliability analysis, and the integration of artificial intelligence, large language models, and graph neural networks into nuclear safety and emergency response. With numerous high-impact publications in journals such as Reliability Engineering & System Safety, Energies, and Risk Analysis, he has also contributed to open datasets and advanced frameworks for safety assessment. Recognized with top honors including the Tanzhen Scholar Award, National Scholarships, and multiple Best Paper Awards, Xiao is emerging as a promising young scholar bridging reliability engineering with cutting-edge AI technologies.

Academic Profile 

Scopus | Google Scholar

Education

Dr. Sheng Xiao pursued his academic training in biochemistry and molecular biology, where he gained a strong foundation in cellular processes, molecular signaling, and the interface of traditional medicine with modern biomedical science. His education emphasized both theoretical knowledge and hands-on experimental research, allowing him to develop expertise in advanced laboratory techniques, molecular genetics, and translational applications. This strong academic background laid the groundwork for his future contributions in aging research, intestinal regeneration, and the therapeutic value of natural compounds.

Experience

Dr. Xiao is currently affiliated with the Navy Medical University, where he has advanced through academic and research roles with increasing responsibility. He has successfully led major projects funded at institutional, provincial, and national levels, serving as a principal investigator and collaborator in multidisciplinary teams. His experience covers research into brain–gut interactions, nuclear protein function in cancer biology, and natural medicine applications for age-related diseases. Beyond laboratory research, he has contributed to scientific societies, taken up editorial responsibilities, and engaged in collaborative programs that strengthen the global exchange of biomedical knowledge.

Research Interests

His research is centered on the molecular basis of intestinal stem cell regulation, gut regeneration, and aging-related disorders. He is deeply interested in how natural compounds derived from traditional Chinese medicine influence molecular pathways such as Keap1–Nrf2 and srebp-mediated regulation. By integrating experimental models with translational perspectives, his work bridges the gap between fundamental molecular biology and clinical application. Additionally, he explores the brain–gut axis, aiming to understand the systemic mechanisms that link neurobiology, intestinal health, and therapeutic interventions.

Awards

Dr. Xiao has received recognition for his contributions through prestigious awards in scientific meetings, academic forums, and institutional honors. His poster presentations at international congresses and achievements in traditional medicine research have highlighted his innovative and impactful approaches. He has also been honored with distinguished scholar recognition for his leadership and excellence in research. These awards reflect his growing influence in the field and his continued commitment to advancing biomedical science for the benefit of both academia and healthcare.

Publications

Enhancing LOCA breach size diagnosis with deep learning

Author: X. Xiao, B. Qi, J. Liang, J. Tong, Q. Deng, P. Chen
Journal: Energies
Year: 2023

MixedGaussianAvatar: Realistically and geometrically accurate head avatar via mixed 2D-3D Gaussian splatting

Author: P. Chen, X. Wei, Q. Wuwu, X. Wang, X. Xiao, M. Lu – arXiv
Journal: preprint
Year: 2024

KRAIL: A knowledge-driven framework for base human reliability analysis integrating IDHEAS and large language models

Author: X. Xiao, P. Chen, B. Qi, H. Zhao, J. Liang, J. Tong, H. Wang
Journal: preprint
Year: 2024

Multimodal learning using large language models to improve transient identification in nuclear power plants

Author: B. Qi, J. Sun, Z. Sui, X. Xiao, J. Liang
Journal: Progress in Nuclear Energy
Year: 2024

A dynamic risk-informed framework for emergency human error prevention in high-risk industries: A nuclear power plant case study

Author: X. Xiao, B. Qi, S. Liu, P. Chen, J. Liang, J. Tong, H. Wang
Journal: Reliability Engineering & System Safety
Year: 2025

A national risk analysis model (NRAM) for the assessment of COVID-19 epidemic

Author:  Q. Deng, X. Xiao, L. Zhu, X. Cao, K. Liu, H. Zhang, L. Huang, F. Yu, H. Jiang, …
Journal: Risk Analysis
Year: 2023

Conclusion

Dr. Sheng Xiao’s groundbreaking research, leadership in prestigious projects, and commitment to advancing biochemistry and molecular biology make him an outstanding candidate. His contributions have not only deepened scientific understanding but also paved the way for innovative therapeutic applications, positioning him as a highly suitable recipient of the Innovative Research Award.