Dr. Nuno Almeida | Research Excellence | Best Researcher Award | 2598

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Dr. Nuno Almeida | Research Excellence | Best Researcher Award

Dr. Nuno Almeida | Universidade do Algarve | Portugal

Dr. Nuno Miguel Forra Almeida is an academic and professional psychologist specializing in Work, Social, and Organizational Psychology. He serves as an Assistant Guest Lecturer at the Faculty of Human and Social Sciences of the University of Algarve (FCHS-UAlg) and holds specialist recognition from the Portuguese Psychologists Association (OPP) as well as EuroPsy qualification from the European Federation of Psychologists’ Associations (EFPA). He is also affiliated with FAROTESTE – Psychological Assessment.Currently pursuing a Ph.D. in Psychology at the University of Algarve, his research focuses on electoral abstention among young people, integrating psychological, behavioral, political, and communicational dimensions. He is actively involved as a Collaborating Researcher in two research centers: the Center for Research in Psychology (CIP) at Universidade Autónoma de Lisboa and the University Center for Psychological Research (CUIP) at the University of Algarve. In addition, he contributes to the OPP’s pool of psychologists for crisis and catastrophe intervention. Dr. Almeida has a robust academic background, holding a Master’s degree in Social and Organizational Psychology and a Bachelor’s degree in Psychology from the University of Algarve. His professional development includes extensive specialized training across diverse domains such as ergonomics, psychological evaluation, neuro-linguistic programming, information security, artificial intelligence workflows, and intervention with vulnerable populations including refugees and LGBTQ individuals. His teaching and research are complemented by practical involvement in supervision of academic and professional internships, psychometric testing, and consultancy in work and organizational settings. Through his academic and professional trajectory, he demonstrates a strong commitment to evidence-based practice, innovation in psychological assessment, and the integration of digital tools in psychological research and education. His scholarly and professional interests converge on understanding human behavior in social and organizational contexts, promoting psychological well-being in workplaces, and exploring the psychological underpinnings of civic engagement and political participation among youth.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Almeida, N., & Giger, J.-C. (2025). Unraveling the heterogeneity of electoral abstention: Profiles, motivations, and paths to a more inclusive democracy in Portugal. Social Sciences, 14(10), 601.

Giger, J.-C., Piçarra, N., Pochwatko, G., Almeida, N., & Almeida, A. S. (2025). Intention to work with social robots: The role of perceived robot use self-efficacy, attitudes towards robots, and beliefs in human nature uniqueness. Multimodal Technologies and Interaction, 9(2), 9.

Giger, J.-C., Piçarra, N., Pochwatko, G., Almeida, N., Almeida, A. S., Costa, N., & Duradoni, M. (2024). Development of the Beliefs in Human Nature Uniqueness Scale and its associations with perception of social robots. Human Behavior and Emerging Technologies, Article ID 5569587.

Gonçalves, G., Sousa, C., Fernandes, M. J., Almeida, N., & Sousa, A. (2023). Restorative effects of biophilic workplace and nature exposure during working time: A systematic review. International Journal of Environmental Research and Public Health, 20(21), 6986.

Almeida, N., & Giger, J.-C. (2025, January 23). The absent vote: Unraveling social representations of electoral abstention among students and non-student voters. In X Jornadas Internacionais de Iniciação à Investigação Científica em Psicologia (J3ICP).

 

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

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.

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.