Ivis Garcia | Research Excellence | Best Researcher Award

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Dr. Ivis Garcia | Research Excellence | Best Researcher Award

Dr. Ivis Garcia | Texas A&M University | United States

Dr. Ivis García, Ph.D., AICP, is an Associate Professor in the Department of Landscape Architecture and Urban Planning at Texas A&M University, with a distinguished record of scholarship, teaching, and community engagement in housing, urban policy, and social equity. Her research is grounded in the principles of community development, participatory planning, and social justice, with a particular emphasis on advancing diversity, equity, and inclusion within urban systems. Dr. García’s work focuses on asset-based community development (ABCD) approaches that empower marginalized populations to build capacity and resilience through locally driven solutions. She explores the intersections of housing policy, disaster recovery, gentrification, and displacement, particularly within Latino and Puerto Rican communities in the United States and the Caribbean. Her doctoral dissertation, “The Puerto Rican Identity: Reconstructing Ownership in the Face of Change,” set the foundation for a research agenda that bridges cultural identity with community-based planning and equitable housing strategies. Through her collaborations with organizations such as the Puerto Rican Cultural Center, Texas Appleseed, and Foundation for Puerto Rico, Dr. García integrates academic research with real-world impact, informing equitable policy design and participatory decision-making. She has been a Ford Foundation Fellow, Emerging Poverty Scholar, and recipient of numerous professional awards, including theTexas APA Student Project Award and the  Curriculum Innovation Award from the Lincoln Institute of Land Policy. Her research has contributed to national dialogues on resilient housing, participatory governance, and social vulnerability in urban environments, often linking theory to applied planning practice. By engaging communities directly in the research process, Dr. García exemplifies the model of a scholar-activist—translating knowledge into meaningful action that promotes inclusive, just, and sustainable urban futures. Her work continues to inspire transformative practices in housing equity and community resilience across diverse urban landscapes.

Profiles: Orcid

Featured Publications 

García, I. (2025). Earthship architecture as a pathway to post-hurricane resilience and energy independence: A case study analysis in Puerto Rico. Urban Science, 9(11), 446. https://doi.org/10.3390/urbansci9110446

Kim, M., García, I., Goetz, E., Hanlon, B., Monkkonen, P., Pendall, R., Pfeiffer, D., Reece, J., & Whittemore, A. (2025). Bring zoning back into the planning curricula. Journal of the American Planning Association. https://doi.org/10.1080/01944363.2025.2455162

García, I. (2025). Residential green infrastructure: Unpacking motivations and obstacles to single-family-home tree planting in diverse, low-income urban neighborhoods. Sustainability, 17(16), 7412. https://doi.org/10.3390/su17167412

García, I. (2025). When the map does not tell the whole story: Integrating community voices into GIS gentrification analysis. Land, 14(8), 1510. https://doi.org/10.3390/land14081510

García, I., Jackson, A., Lee, C. A., Chrisinger, B., & Greenlee, A. J. (2025). On the outside looking in: Latina/o/x and African American student perspectives on community-engaged courses. Journal of Planning Education and Research. https://doi.org/10.1177/0739456X251339979

García, I. (2025). The poorer the neighborhood, the harder it is to reach the park: A GIS equity analysis from Salt Lake City. Sustainability, 17(9), 3774. https://doi.org/10.3390/su17093774

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.

Li Yu | Research Excellence | Best Researcher Award

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Prof. Li Yu | Research Excellence | Best Researcher Award

Prof. Li Yu | Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences | China

Dr. Yu Li is a distinguished Research Fellow at the Oil Crops Research Institute (OCRI), Chinese Academy of Agricultural Sciences (CAAS), specializing in Food Science and Technology with a strong emphasis on mycotoxin prevention, detection, and safety assurance in agricultural products. Her research integrates advanced analytical techniques and immunological approaches to develop innovative detection systems for food contaminants. She has successfully led and participated in more  major national and provincial research projects, including those funded by the National Key R&D Program of China and the National Natural Science Foundation of China (NSFC). Her pivotal role in the award-winning project “Development of Targeted Antibodies and Ultrasensitive Detection Technologies for Aflatoxins in Agricultural Products” earned her team the Second-Class Prize of the National Technical Invention Award . Recognized for her excellence, Dr. Li has been selected for the Outstanding Young Talent Cultivation Program of OCRI-CAAS and the “Young Top Talent” Program of Hubei Province. Beyond her research, she contributes to scientific development as a Guest Editor for Molecules and as a member of the Science and Technology Expert Database of the Hubei Provincial Department of Science and Technology.

Profiles:  ORCID | ResearchGate

Featured Publications

Tang, F., Ma, F., Wang, D., Fang, M., Zhang, L., Li, P., & Yu, L. (2025). Highly efficient detoxification of aflatoxin B1 in peanut meals by attapulgite-supported laccase. Food Control, 164, 111759. https://doi.org/10.1016/j.foodcont.2025.111759

Ma, F., He, Y., Tang, F., Fu, L., Zhang, L., Li, P., & Yu, L. (2025). In-situ stabilization of conjugated microporous polymer on sieve plates for multifunctional applications: Detection and removal of aflatoxins. Journal of Hazardous Materials, 478, 139457. https://doi.org/10.1016/j.jhazmat.2025.139457

Liu, M., Wang, X., Yang, Y., Tu, F., Yu, L., Ma, F., Wang, X., Jiang, X., Dou, X., Li, P., & others. (2025). Authentication of edible oil by real-time one class classification modeling. Foods, 14(7), 1235. https://doi.org/10.3390/foods14071235

Dou, X., Tu, F., Yu, L., Yang, Y., Ma, F., Wang, X., Wang, D., Zhang, L., Jiang, X., & Li, P. (2024). Adulteration detection of edible oil by one-class classification and outlier detection. Food Frontiers, 5(1), Article e395. https://doi.org/10.1002/fft2.395

Huang, F., Liu, A., Fang, M., Wang, D., Yu, L., Ma, F., Wang, X., Zhang, L., & Li, P. (2024). Characteristic volatile flavors of high-oleic peanut oil and normal peanut oil. Microchemical Journal, 199, 110389. https://doi.org/10.1016/j.microc.2024.110389

Prabhat Kumar Bharti | Research Excellence | Best Researcher Award

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Dr. Prabhat Kumar Bharti | Research Excellence | Best Researcher Award

Dr. Prabhat Kumar Bharti | School of Computing and Electrical Engineering, Indian Institute of Technology (IIT) Mandi, Himachal Pradesh | India

Dr. Prabhat Kumar Bharti is a Postdoctoral Fellow at IIT Mandi with a Ph.D. in Computer Science & Engineering from IIT Patna, specializing in Artificial Intelligence and Natural Language Processing for peer review systems. He has served as Assistant Professor at KLEF University and Goel Institute of Technology, teaching Machine Learning, Deep Learning, and related subjects with excellent student feedback. An accomplished researcher with publications in Journal of Information Science, Scientometrics, Plos ONE, and others, he has also received the Best Paper Runner-Up Award at ICADL 2021. Actively engaged in academic service, he has held leadership roles in IEEE, reviewed for leading journals, and contributed to curriculum design and accreditation, reflecting his strong commitment to research, teaching, and community development.

Academic Profile 

Google Scholar

Education

Dr. Prabhat Kumar Bharti holds a strong academic foundation in computer science and engineering, beginning with a Bachelor of Technology in Information Technology, followed by a Master of Technology in Computer Science and Engineering with a focus on web structure mining. He pursued doctoral research at the Indian Institute of Technology, Patna, where his thesis explored artificial intelligence techniques for peer review and research lineage establishment. His academic journey reflects a consistent focus on advanced computing, artificial intelligence, and data-driven methodologies that form the basis of his professional expertise.

Experience

He has served in both teaching and research capacities at reputed institutions across India. His career includes roles as Assistant Professor at universities and institutes where he taught subjects such as Machine Learning, Deep Learning, Artificial Neural Networks, Database Management Systems, and Operating Systems. He has also held administrative responsibilities, contributing to innovation coordination, student counseling, and accreditation processes. Currently, he is a Postdoctoral Fellow at the Indian Institute of Technology, Mandi, where he is expanding his research portfolio while mentoring students and contributing to academic excellence through teaching and scholarly engagement.

Research Interests

His research interests lie at the intersection of artificial intelligence, natural language processing, and computational linguistics, with a particular emphasis on the peer review process. He has developed models for analyzing review comments, predicting reviewer decisions, assessing tone and objectivity, and generating recommendations. His work extends to large language models, sentiment analysis, causal inference, and advanced learning strategies such as few-shot learning and chain-of-thought reasoning. He also explores the applications of Bayesian methods, counterfactual reasoning, and interpretability in AI, contributing to the creation of trustworthy and transparent intelligent systems.

Awards and Recognitions

Dr. Bharti has received significant recognition for his contributions to research and academia. He qualified the National Eligibility Test for Assistant Professor conducted by the University Grants Commission of India. His paper on predicting peer review decisions earned the Best Paper Runner-Up Award at an international conference on digital libraries, showcasing the impact of his innovative approach to peer review analysis. Alongside awards, he has been an active reviewer for reputed journals and conferences, further highlighting his reputation as a respected member of the global research community.

Publications

A novel benchmark resource for computational analysis of peer reviews — T. Ghosal, S. Kumar, P.K. Bharti, A. Ekbal — PLOS ONE — 2022

Peerassist: leveraging on paper-review interactions to predict peer review decisions — P.K. Bharti, S. Ranjan, T. Ghosal, M. Agrawal, A. Ekbal — International Conference on Asian Digital Libraries — 2021

PolitePEER: does peer review hurt? A dataset to gauge politeness intensity in the peer reviews — P.K. Bharti, M. Navlakha, M. Agarwal, A. Ekbal — Language Resources and Evaluation — 2024

Sharing is caring! Joint multitask learning helps aspect-category extraction and sentiment detection in scientific peer reviews — S. Kumar, T. Ghosal, P.K. Bharti, A. Ekbal — ACM/IEEE Joint Conference on Digital Libraries (JCDL) — 2021

How confident was your reviewer? Estimating reviewer confidence from peer review texts — P.K. Bharti, T. Ghosal, M. Agrawal, A. Ekbal — International Workshop on Document Analysis Systems — 2022

PEERRec: An AI-based approach to automatically generate recommendations and predict decisions in peer review — P.K. Bharti, T. Ghosal, M. Agarwal, A. Ekbal — International Journal on Digital Libraries — 2024

BetterPR: A Dataset for Estimating the Constructiveness of Peer Review Comments — P.K. Bharti, T. Ghosal, M. Agarwal, A. Ekbal — International Conference on Theory and Practice of Digital Libraries — 2022

Conclusion

Dr. Prabhat Kumar Bharti stands out as a dynamic researcher whose contributions to Artificial Intelligence and Natural Language Processing reflect both depth and innovation. His strong academic record, impactful publications, teaching excellence, and active service to the academic community position him as a truly deserving candidate for the Best Researcher Award. With his continued dedication, he is poised to make even greater contributions to global research and knowledge advancement.

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.