Guoyi Jiang | Environmental Science | Research Excellence Award

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Assist. Prof. Dr. Guoyi Jiang | Environmental Science | Research Excellence Award 

Assistant Professor at Shantou University | China

Assist. Prof. Dr. Guoyi Jiang is a distinguished academic and researcher specializing in environmental and wind engineering with a strong interdisciplinary foundation bridging engineering science and the built environment. He holds advanced academic training in aerospace-related engineering, fluid mechanics, and architectural wind engineering, which has shaped his expertise in complex flow phenomena and environmental aerodynamics. His professional experience spans both national research institutes and university-level teaching and research, where he has contributed significantly to engineering education and applied scientific investigation. His research interests focus on wind engineering, industrial aerodynamics, disaster prevention and mitigation, computational fluid dynamics, large eddy simulation, urban wind and thermal environments, pollutant dispersion, and wind-resistant building design. Through high-quality peer-reviewed publications, his work advances scientific understanding and practical solutions for safer, healthier, and more resilient urban environments. His scholarly output includes 14 documents, achieving 281 citations from 226 documents and an h-index of 7, reflecting sustained research impact, methodological rigor, and recognized contributions to environmental science and engineering.

Citation Metrics (Scopus)

300

200

100

0

Citations
281

Documents
14

h-index
7

Featured Publications

Bilal jan Haji Muhammad | Environmental Science | Best Researcher Award

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Dr. Bilal jan Haji Muhammad | Environmental Science | Best Researcher Award 

PhD Scholar and Researcher at Northeast normal university | Afghanistan

Dr. Bilal Jan Haji Muhammad is a dedicated GIS and Remote Sensing specialist recognized for his strong interdisciplinary expertise across geospatial sciences, geology, and environmental research. With an academic foundation shaped through advanced studies in Cartography, Geographic Information Systems, and Rural Development, he has built a diverse professional background spanning higher education research, hydrogeological engineering, and geo-material analysis. His experience includes troubleshooting and managing GIS/RS systems, conducting spatial modeling, coordinating with data providers, leading geotechnical investigations, mentoring students, and supporting large-scale infrastructure and environmental projects. Throughout his career, Dr. Bilal Jan Haji Muhammad has developed comprehensive command over remote sensing, Google Earth Engine, geostatistics, deep learning for spatial prediction, and R-based environmental modeling. His research portfolio reflects contributions across land use and land cover modeling, geochemical exploration, forest canopy assessment, tectonic interpretation, petrography, ecological monitoring, surface urban heat island dynamics, vegetation analysis, and geoenvironmental process evaluation. He has published academic work in journals such as the Scottish Geographical Journal, Georeview, Journal of Mountain Area Research, Kuwait Journal of Sciences, and GeoJournal, demonstrating impactful scholarship supported by 6 citations, an h-index of 2, and an i10-index of 0. Dr. Bilal Jan Haji Muhammad has also contributed to international scientific forums as an invited speaker and participant, especially in areas linking remote sensing, surface science, and environmental change. His professional development includes specialized training in modern geo-applications, climate-focused GIS, and advanced geospatial techniques using global platforms. Alongside his academic achievements, he has engaged in significant projects in hydrogeology, deep rock drilling, and dam-related geoengineering, expanding his applied technical capacity. His interests extend to environmental sustainability, land degradation assessment, urban ecological dynamics, and the integration of remote sensing with Earth science diagnostics for informed decision-making. Driven by a commitment to scientific rigor, community engagement, and technological innovation, Dr. Bilal Jan Haji Muhammad continues to advance geospatial research and contribute to sustainable development challenges through high-quality analysis, interdisciplinary collaboration, and impactful scholarly work.

Profile: Orcid | Google Scholar

Featured Publications:

1. Muhammad, B. J. H., Ping, W., Mohabbat, M. J., Ahmad, I., & Islam, I. (2025). Modelling and prediction of land use land cover change dynamics based on the land change modeller in Kunar Province, Eastern Afghanistan. Scottish Geographical Journal, 1–24.

2. Ahmad, I., Ping, W., Razzaq, A., Muhammad, B. J. H., & Ali, W. (2024). Assessing urban thermal field variance and surface urban heat island effects: An ecological study in Malakand Division, Pakistan. Georeview, 34(2).

3. Muhammad, B. J. H., Rahmani, N. R., Mohabbat, M. J., Islam, I., Ahmad, I., & Ping, W. (2025). Integration of remote sensing and geochemical analysis of chromite bodies in Logar Ophiolitic Complex, Southeast Afghanistan. Kuwait Journal of Science, 100427.

4. Muhammad, B. J. H., Ping, W., Mohabbat, M. J., Patmal, M. H., & Ahmad, I. (2024). Morpho-tectonic and satellite image interpretation for identifying Gardez Fault in Afghanistan. Journal of Geoscience, Engineering, Environment, and Technology, 9(2), 221–226.

5. Muhammad, B. J. H., Ping, W., Mohabbat, M. J., Islam, I., & Khattak, S. A. (2025). Examining the relationship among land surface temperature (LST), land use/land cover (LULC) and spectral indices in Kunar Province, Afghanistan. GeoJournal, 90(5), 237.

6. Gebreyesus, M. Z., Zhang, H., Ibrahim, H. M., & Muhammad, B. J. H. (2025). Assessment of land degradation recovery measures and its socioeconomic challenges in the southern region of Eritrea. Singapore Journal of Tropical Geography, 46(3), 410–426.

7. Muhammad, B. J. H., Ping, W., & Mohabbat, M. J. (2024). Integration of GIS and remote sensing for evaluating forest canopy density index in Kunar Province, Afghanistan. Georeview, 34(1), 12.

8. Ping, W., Mohabbat, M. J., Islam, I., & Ahmad, I. (2024). Comparative analysis of mechanical strength and petrographic features of andesite and basalt from Sawabi area, NW Pakistan: Implications for construction engineering. Journal of Mountain Area Research, 9, 92–106.
9. Zerom, M., Hongyan, Z., Ibrahim, H. M., & Muhammad, B. J. H. (2025). Assessing land degradation recovering measures in Southern Region of Eritrea and its socio-economic challenges.

10. Ping, W., & Muhammad, B. J. H. (n.d.). Assessing urban thermal field variance and surface urban heat island effects: An ecological study in Malakand Division. Manuscript version listed online.

Jiahao Fan | Agricultural and Biological Sciences | Best Researcher Award

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Dr. Jiahao Fan | Agricultural and Biological Sciences | Best Researcher Award 

Biological Systems Engineering at University of Wisconsin-Madison | United States

Dr. Jiahao Fan is a highly accomplished researcher whose work lies at the intersection of artificial intelligence, computer vision, and biological systems engineering. His professional journey reflects a commitment to developing innovative, data-driven technologies that enhance agricultural productivity and environmental sustainability. He completed his advanced studies in Biological Systems Engineering with a focus on integrating machine learning and computational modeling into precision agriculture. His educational background also includes strong foundations in machine learning, data mining, and remote sensing, equipping him with the expertise to address complex, multidisciplinary challenges in modern biological sciences. Throughout his research career, Dr. Jiahao Fan has contributed to the advancement of multimodal deep learning frameworks, vision-language modeling, and sensor-based data fusion for agricultural applications. His pioneering projects include developing object detection and segmentation systems for plant monitoring, multimodal feature fusion methods for crop analysis, and efficient retrieval-based prediction algorithms that optimize computational performance in data-limited environments. His academic work demonstrates a deep understanding of artificial intelligence applied to biological processes, leading to several peer-reviewed publications and open-source innovations that support sustainable farming systems. Dr. Jiahao Fan’s research is characterized by technical precision, interdisciplinary collaboration, and a vision to bridge computational sciences with real-world agricultural needs. His efforts have earned notable recognition within the research community, as reflected in his 476 citations by 474 documents, 6 published works, and an h-index of 5, highlighting the scholarly influence and practical value of his contributions. Through his continuous pursuit of excellence in both theory and application, Dr. Jiahao Fan remains dedicated to advancing the frontiers of agricultural automation, digital phenotyping, and sustainable resource management. His work not only enriches the academic discourse in agricultural and biological sciences but also lays the groundwork for future innovations that integrate artificial intelligence with global food security and environmental resilience.

Profile: Scopus | Orcid | Google Scholar

Featured Publications:

  • Fan, J.(2022). Estimation of maize yield and flowering time using multi-temporal UAV-based hyperspectral data. Remote Sensing, 14(13), 3052.

  • Fan, J.(2023). Enhancing maize silage quality assessment through UAV-based high-throughput phenotyping and deep transfer learning. In AGU Fall Meeting, San Francisco.

  • Fan, J.(2023). Uncrewed aerial vehicle (UAV)-based high‐throughput phenotyping of maize silage yield and nutritive values using multi-sensory feature fusion and multi-task learning with attention mechanism. Remote Sensing, 17(21), 3654.

  • Fan, J.(2025). Mitigating NDVI saturation in imagery of dense and healthy vegetation. ISPRS Journal of Photogrammetry and Remote Sensing, 227,

  • Fan, J.(2022). Multi-temporal estimation of maize yield and flowering time using UAV-based hyperspectral data. Proceedings of the North American Plant Phenotyping Network (NAPPN) Annual Conference.

Rodrigo Zarate Torres | Environmental Science | Innovative Research Award

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Dr.Rodrigo Zarate Torres | Environmental Science | Innovative Research Award 

Profesor Investigador at Colegio de Estudios Superiores de Administración| Colombia

Dr. Rodrigo Zárate Torres is a distinguished academic leader, educator, and researcher whose work bridges leadership, emotional intelligence, sustainability, and organizational innovation. He currently serves in an academic leadership capacity at the Colegio de Estudios Superiores de Administración (CESA) in Colombia, where he contributes to the advancement of management education and research. He holds a Doctor of Strategic Leadership (DSL) with a focus on Global Management, a Master of Business Administration (MBA) in Marketing and International Business, and a degree in Industrial Engineering. Throughout his career, Dr. Rodrigo Zárate Torres has held key academic and administrative positions, including director, dean, and researcher, in institutions recognized for academic excellence. His extensive experience encompasses strategic leadership development, higher education accreditation, and organizational consulting, with contributions to both local and international academic collaborations. His research, widely cited across the global scholarly community, includes 18 publications, 118 citations by 110 documents, and an h-index of 7, demonstrating the quality and impact of his work. Dr. Rodrigo Zárate Torres’s scholarly interests focus on the intersections of emotional intelligence, leadership behavior, organizational culture, and sustainable management, emphasizing how human factors drive innovation and performance in diverse institutional contexts. He has published numerous studies in high-impact journals, exploring psychometric validation, leadership styles, and the role of emotional and spiritual intelligence in organizational success. Recognized as a “Senior Researcher” by Colciencias, he has also received awards for excellence in teaching and research, including international recognition for his contributions to project management and academic development. His active involvement in editorial boards, research groups, and professional associations has further enhanced his influence in shaping management education and leadership scholarship in Latin America and beyond. Dr. Rodrigo Zárate Torres’s academic vision integrates strategic foresight, ethical leadership, and emotional competence as foundational elements of sustainable development and institutional excellence. His enduring dedication to research, mentorship, and leadership continues to inspire innovation and social responsibility within academia and the broader organizational landscape.

Profile: Scopus | Orcid | GoogleScholar

Featured Publications:

  • Zárate-Torres, R. A., & Matviuk, S. (2012). Emotional intelligence and leadership practices in Colombian organizations. Cuadernos de Administración, 28(47), 91–104.

  • Acosta-Prado, J. C., Zárate-Torres, R. A., & Pautt Torres, G. M. (2015). Characterization of emotional intelligence in Colombian managers. Universitas Psychologica, 14(3), 815–832.

  • Zárate-Torres, R. A., Rey-Sarmiento, C. F., & Acosta-Prado, J. C. (2022). Impact of leadership practices on manager’s pathways to goal attainment: The mediating effect of emotional intelligence. International Journal of Organizational Analysis,

  • Zárate-Torres, R. A., Rey-Sarmiento, C. F., Acosta-Prado, J. C., Gómez-Cruz, N. A., Rodríguez Castro, D. Y., & Camargo, J. (2025). Influence of leadership on human–artificial intelligence collaboration. Behavioral Sciences, 15(7), 873.

  • Zárate-Torres, R. A., Rey-Sarmiento, C. F., & Acosta-Prado, J. C. (2025). Social impact of happiness on transformational leadership in students from Colombian universities. Frontiers in Psychology.

  • Zárate-Torres, R. A. (2023). How good is the Myers-Briggs Type Indicator for predicting leadership? Frontiers in Psychology,

  • Zárate-Torres, R. A., Acosta-Prado, J. C., & Garzón Catrillón, M. A. (2016). Attributes and emotional intelligence in Colombian followers. Revista Espacios, 37(25), 18.

 

Zainib Babar | Agricultural and Biological Sciences | Best Researcher Award

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Dr.Zainib Babar | Agricultural and Biological Sciences | Best Researcher Award 

PhD at Shanghai Jiao Tong University | China 

Dr. Zainib Babar is an emerging scholar in agricultural and biological sciences, specializing in plant–microbe interactions, molecular biology, and plant immunity. Her academic foundation includes advanced training in horticulture, molecular genetics, and plant biotechnology, culminating in a doctoral degree from a leading institution where her research focused on identifying and characterizing conserved RxLR effectors of Plasmopara viticola that target host proteins involved in grapevine immune signaling. Her work provides critical insights into the molecular basis of plant resistance, contributing to the development of sustainable strategies for crop protection and productivity improvement. She possesses strong expertise in both experimental and computational biology, including gene cloning, protein purification, quantitative reverse transcription PCR, yeast hybridization, protein modeling, and bioinformatics analysis using R-Studio, Tb-tools, and ITASSER. Her prior research experience includes work on CRISPR/Cas-mediated genome editing in cotton for viral resistance, reflecting her commitment to addressing global agricultural challenges through genetic innovation. Dr. Zainib Babar has served as a lecturer, sharing her knowledge in biochemistry and molecular sciences, and has participated in numerous international conferences, symposiums, and workshops on plant biotechnology and genomics. Her scholarly output includes publications in reputable journals such as the Journal of Biomolecular Structure and Dynamics and Frontiers in Molecular Biosciences, where she has contributed to studies on protein–pathogen interactions and computational drug discovery. She has been recognized with multiple academic awards, including prestigious scholarships for her research excellence and participation in global scientific training programs. With 226 citations by 189 documents, 5 publications, and an h-index of 5, Dr. Zainib Babar demonstrates a growing international reputation for scientific innovation and collaboration. Her research continues to focus on the molecular mechanisms of plant defense and the application of biotechnology to enhance crop resilience and food security. Through her dedication to advancing knowledge at the intersection of molecular biology and agricultural science, she exemplifies the next generation of researchers striving to create sustainable solutions for the global agricultural sector.

Profile: Scopus | Orcid | Google Scholar

Featured Publications:

Babar, Z., Khan, A., Hussain, A., Liu, J., Wu, W., Fu, P., & Lu, J. A highly conserved oomycete effector PvRxLR15 hijacks Vv14-3-3ω to suppress plant immunity. Horticulture Research.

Babar, Z., Hussain, A., Khan, A., & Lu, J. NLR-driven plant immunity: Mechanisms, regulation, evolution, and application.

Khan, A., Babar, Z., & Lu, J. The LWY motif of PvRxLR111 is required for VvSGT1-mediated resistance in grapevines.

Babar, Z., Khan, M., Zahra, M., Anwar, M., Noor, K., Hashmi, H. F., Suleman, M., & Wei, D.-Q. (2020). Drug similarity and structure-based screening of medicinal compounds to target macrodomain-I from SARS-CoV-2 to rescue the host immune system: A molecular dynamics study. Journal of Biomolecular Structure and Dynamics, 39(18), 1–15.

Khan, A., Ali, S. S., Khan, M. T., Saleem, S., Ali, A., Suleman, M., Babar, Z., Shafiq, A., Khan, M., & Wei, D.-Q. (2020). Combined drug repurposing and virtual screening strategies with molecular dynamics simulation identified potent inhibitors for SARS-CoV-2 main protease (3CLpro). Journal of Biomolecular Structure and Dynamics, 39(10), 1–12.

Khan, A., Khan, M., Saleem, S., Babar, Z., Ali, A., Khan, A. A., Sardar, Z., Hamayun, F., Ali, S. S., & Wei, D.-Q. (2020). Phylogenetic analysis and structural perspectives of RNA-dependent RNA polymerase inhibition from SARS-CoV-2 with natural products. Interdisciplinary Sciences: Computational Life Sciences, 12(3), 1–14.

Khan, A., Junaid, M., Li, C.-D., Saleem, S., Hamayun, F., Shamas, S., Ali, S. S., Babar, Z., & Wei, D.-Q. (2020). Dynamics insights into the gain of flexibility by Helix-12 in ESR1 as a mechanism of resistance to drugs in breast cancer cell lines. Frontiers in Molecular Biosciences, 6, 159

Luis Tamassia | Environmental Science | Best Researcher Award

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Dr. Luis Tamassia | Environmental Science | Best Researcher Award

Global Innovation ruminants lead at dsm-firmenich, Switzerland.

Luis Fernando Monteiro Tamassia is a Brazilian‑Italian veterinarian whose career bridges science and agribusiness. After earning his Doctor of Veterinary Medicine, he immersed himself in pasture management and animal nutrition, steadily ascending from feedlot consultant to global innovation leader in Switzerland 🇨🇭. Two decades of guiding multidisciplinary teams—from R&D labs to commercial front lines—have honed his talent for turning bench discoveries into practical solutions that boost cattle performance, farmer profitability and worldwide livestock sustainability efforts ♻️. Fluent in English and Spanish, with German in progress, Luis thrives in multicultural settings, forging alliances across academia, industry and digital‑tech start‑ups. Today, as Global Head of Innovation for Ruminants at dsm‑firmenich, he channels his passion for humane, climate‑smart food production into next‑generation vitamins, enzymes and data‑driven feed strategies, inspiring colleagues to pair scientific rigor with entrepreneurial spirit. 🌟

Professional Profile:

Scopus

Google Scholar

Suitability For Best Researcher Award – Dr. Luis Tamassia

Dr. Luis Fernando Monteiro Tamassia stands out as a multidisciplinary leader whose contributions bridge veterinary science, animal nutrition, agribusiness innovation, and sustainability. With over 25 years of experience, he has transformed scientific insights into commercial solutions that improve livestock health, environmental outcomes, and global food systems. His journey from feedlot consultant in Brazil to Global Head of Innovation for Ruminants at dsm-firmenich in Switzerland showcases his international influence, strategic vision, and scientific rigor.

Education 🎓📚

Luis built a robust scientific foundation at three leading Brazilian institutions. He first completed his Doctor of Veterinary Medicine at the Federal University of Uberlândia, mastering anatomy, physiology and herd health. Seeking deeper production insight, he undertook an Animal Scientist Specialization at the Federal University of Goiás, where he evaluated feedlot bulls for genetic merit 📊🐂. His academic journey culminated in an M.Sc. in Agronomy (Animal Nutrition & Pasture) at USP‑ESALQ, investigating Rhodes‑grass morphology, chemistry and digestibility 🌾🔬. Continuous leadership programs and international management courses now complement these degrees, equipping him to translate complex nutrition science into market impact.

Professional Development 🚀

Over a 25‑year span, Luis has cultivated a rare blend of scientific acuity and commercial savvy, evolving from regional technical advisor to C‑suite innovation strategist 🌟. He sharpened frontline skills at Tortuga, steering feedlot sales teams across São Paulo, Rio and Espírito Santo before managing two research centers and quality programs serving four factories 🔧🏭. Promoted to Director of Innovation & Applied Science for Latin America at DSM, he supervised 25 scientists, delivered 45+ projects annually and drove double‑digit innovation‑sales growth 📈. Since 2019, Switzerland has been his base for global influence: first as Innovation Lead and now as Global Head of Innovation for Ruminants at dsm‑firmenich. There he orchestrates cross‑functional squads that fuse digital tools, precision farming, feed additives and sustainability analytics into market‑ready packages, championing open‑innovation networks with universities and startups 🌐🤝. Frequent symposium keynotes and multicultural immersion continually refine his professional edge.

Research Focus 🔬🐂

Luis’s research orbit centers on sustainable ruminant nutrition—the nexus where animal physiology, feed chemistry and environmental stewardship converge 🌍. He interrogates how vitamins, minerals, enzymes and eubiotics modulate rumen microbiota, oxidative stress and nutrient utilization, striving to boost meat and milk yields while shrinking methane footprints ♻️. His teams prototype precision‑feeding algorithms and digital decision tools that transform on‑farm data into custom ration strategies 📲📊. Another avenue explores mineral matrices and plant‑based bio‑actives as antibiotic alternatives, safeguarding animal health without compromising productivity 🚫💊✅. Fertility enhancement, heat‑stress mitigation and trace‑element bioavailability complete his holistic agenda, weaving genetics, pasture dynamics and gut‑health biomarkers into actionable blueprints. He collaborates with climatologists and data scientists to map emission hotspots and quantify life‑cycle impacts 🌡️🧬. Field trials across Europe and Brazil validate insights, empowering stakeholders to accelerate climate‑smart livestock systems and advance UN SDG 12 🌱📑.

Awards & Honors 🏆

Recognition has accompanied Luis’s path from ranch to boardroom. He earned the coveted “Best in Beef Cattle Production” BeefExpo Award in 2015 🐂🥇, celebrating the tangible gains he delivered in feedlot efficiency and carcass quality. As a sought‑after speaker at international congresses and symposia 🌐🎤, he routinely receives top‑rated speaker badges and invitations to scientific steering committees. Leadership of innovation teams has secured internal accolades at DSM and dsm‑firmenich for revenue‑driving product launches 🚀💡, while peer communities frequently cite his book chapters and 50+ publications for advancing sustainable ruminant farming 📚🌱—each honor underscoring his commitment to uniting animal welfare, producer prosperity and environmental stewardship.

Publication Top Notes

1. Nutritional strategies in ruminants: A lifetime approach

Authors: J McGrath, SM Duval, LFM Tamassia, M Kindermann, RT Stemmler, TS Acedo, et al.
Journal: Research in Veterinary Science, Vol. 116, Pages 28–39
Cited by: 170
Year: 2018
Summary:
This comprehensive review explores nutritional strategies for ruminants across different stages of life—from neonatal to adult stages. It emphasizes the importance of early-life nutrition, precision feeding, and sustainable practices to improve health, productivity, and environmental outcomes in ruminant livestock. Key focus areas include gastrointestinal development, feed efficiency, immune function, and long-term metabolic programming.

2. Feeding the combination of essential oils and exogenous α-amylase increases performance and carcass production of finishing beef cattle

Authors: MAP Meschiatti, VN Gouvêa, LA Pellarin, CDA Batalha, MV Biehl, TS Acedo, et al.
Journal: Journal of Animal Science, Vol. 97(1), Pages 456–471
Cited by: 64
Year: 2019
Summary:
This study investigates the synergistic effects of essential oils and exogenous α-amylase on beef cattle. Results showed significant improvements in feed efficiency, average daily gain, and carcass yield. The inclusion of these additives enhanced nutrient digestibility and rumen fermentation.

3. Effect of selected feed additives to improve growth and health of dairy calves

Authors: LFL Salazar, LA Nero, MEM Campos-Galvão, CS Cortinhas, TS Acedo, et al.
Journal: PLOS ONE, Vol. 14(5), Article e0216066
Cited by: 54
Year: 2019
Summary:
This research evaluates the impact of various feed additives—including prebiotics, probiotics, and organic acids—on the health and development of dairy calves. Findings revealed improved weight gain, reduced incidence of diarrhea, and enhanced gut health markers.

4. Effects of a blend of essential oils and exogenous α-amylase in diets containing different roughage sources for finishing beef cattle

Authors: LB Toseti, RS Goulart, VN Gouvêa, TS Acedo, GSFM Vasconcellos, et al.
Journal: Animal Feed Science and Technology, Vol. 269, Article 114643
Cited by: 37
Year: 2020
Summary:
This paper examines how different roughage types interact with feed additives like essential oils and α-amylase in beef cattle diets. The study found that these additives enhance nutrient absorption and performance across various forage bases, supporting dietary flexibility in feedlot operations.

5. Effect of organic sources of minerals on fat-corrected milk yield of dairy cows in confinement

Authors: TA Del Valle, EF Jesus, PG Paiva, VP Bettero, F Zanferari, TS Acedo, et al.
Journal: Revista Brasileira de Zootecnia, Vol. 44(3), Pages 103–108
Cited by: 20
Year: 2015
Summary:
The study evaluates the efficacy of organic vs. inorganic mineral sources in dairy cow diets under confinement. It concludes that organic minerals improve milk yield, particularly 3.5% fat-corrected milk, and support better reproductive performance and mineral bioavailability.

✅ Conclusion

Luis Fernando Monteiro Tamassia exemplifies the qualities of a Best Researcher Award recipient. His distinguished career demonstrates scientific depth, innovation leadership, and a deep commitment to sustainable agriculture. His influence spans continents and disciplines, making him not only a leading researcher but a visionary catalyst for global agri-food transformation. Awarding him would recognize not just past accomplishments, but also his ongoing contribution to a more sustainable and ethical future in animal science.