Dr. Shuihuan Guo | Agriculture Technology | Research Excellence Award

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Dr. Shuihuan Guo | Agriculture Technology | Research Excellence Award

Henan Agricultural University | China

Dr. Shuihuan Guo is a food science researcher specializing in fruit and vegetable storage, postharvest physiology, and the molecular biology of horticultural crops, with a strong focus on grapes. His work explores the mechanisms underlying stress responses, anthocyanin biosynthesis, quality formation, and the regulation of plant metabolic pathways that influence fruit development and postharvest quality. He has contributed significantly to understanding how environmental cues, hormonal signaling pathways, and gene regulatory networks shape the biochemical and physiological traits of grape berries under both natural and controlled conditions. His research particularly emphasizes drought stress, abscisic acid (ABA) signaling, melatonin biosynthesis, and microRNA-mediated regulatory mechanisms related to berry coloration, metabolite accumulation, and stress tolerance in different grape genotypes. Through integrating advanced molecular techniques with applied cultivation strategies, he aims to enhance fruit quality, improve resilience to abiotic stress, and support sustainable viticulture practices. His scientific contributions are recognized through measurable academic impact, including Scopus metrics of 219 citations, 15 documents, and an h-index of 8, supported by growing citation activity across Google Scholar as well. His publications appear in high-impact journals in horticulture, food chemistry, and plant molecular biology, reflecting his collaborative work and his commitment to advancing postharvest and viticultural science. Overall, his research bridges fundamental molecular insights with practical applications to support high-quality production and efficient cultivation of grapes and other horticultural crops.

Publication Profile

Scopus

Featured Publications 

Guo, S., Zhang, M., Feng, M., et al. (2024). miR156b-targeted VvSBP8/13 functions downstream of the ABA signal to regulate anthocyanin biosynthesis in grapevine fruit under drought. Horticulture Research, 11, 293.

Guo, S., Xu, T., Shi, T., et al. (2020). Cluster bagging promotes melatonin biosynthesis in the berry skins of Vitis vinifera cv. Cabernet Sauvignon and Carignan during development and ripening. Food Chemistry, 305, 125502.

Guo, S., Xu, T., Ju, Y., et al. (2023). MicroRNAs behave differently to drought stress in drought-tolerant and drought-sensitive grape genotypes. Environmental and Experimental Botany, 207, 105233–105248.

Guo, S., Yang, B., Wang, X., et al. (2021). ABA signaling plays a key role in regulated deficit irrigation-driven anthocyanins accumulation in ‘Cabernet Sauvignon’ grape berries. Environmental and Experimental Botany, 181, 104290.

Prof. Dr. Bogdan Kulig | Crop Production | Innovative Research Award

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Prof. Dr. Bogdan Kulig | Crop Production | Innovative Research Award

Agricultural University in Krakow | Poland

Prof. Dr. Bogdan Kulig is a distinguished Professor of Agricultural Sciences at the University of Agriculture in Krakow, specializing in agronomy, crop production, and agroecology. His extensive research focuses on enhancing the productivity and sustainability of legume and oilseed crop cultivation, improving cereal production through precision agriculture, and applying deterministic and mathematical models to plant growth and development. He has authored over 200 scholarly works, including 151 peer-reviewed journal articles and 42 popular science publications, along with several academic textbooks. His research contributions have significantly advanced modern crop science, particularly in developing improved cultivation technologies for large- and small-seeded legumes and oilseed crops such as Abyssinian crambe, oilseed flax, and winter rapeseed. Prof. Kulig has also contributed to academic leadership through mentoring graduate and doctoral students and participating in numerous scientific and organizational committees. His scholarly impact is reflected in his citation metrics, with a Scopus h-index of 12 (464 citations from 41 documents) and a Google Scholar h-index of 17 (1,501 citations and 44 i10-index). His innovative research combining agronomic science and modeling approaches continues to shape sustainable agricultural practices and academic discourse in plant production systems.

Profile

Scopus | ORCID | Google Scholar

Featured Publications

Dacko, M., Oleksy, A., Synowiec, A., Klimek-Kopyra, A., Kulig, B., & Zając, T. (2023). Plant-architectural and environmental predictors of seed mass of winter oilseed rape in southern Poland based on the CART trees regression model. Industrial Crops and Products, 192, 1–8.

Kulig, B., Waga, J., Oleksy, A., Rapacz, M., Kołodziejczyk, M., Wężyk, P., Klimek-Kopyra, A., Witkowicz, R., Skoczowski, A., Podolska, G., & Grygierzec, W. (2023). Forecasting of hypoallergenic wheat productivity based on unmanned aerial vehicles remote sensing approach – Case study. Agriculture, 13, null.

Kulig, B., & Klimek-Kopyra, A. (2023). Sowing date and fertilization level are effective elements increasing soybean productivity in rainfall deficit conditions. Agriculture, 13, null.

Kulig, B., Oleksy, A., & Zając, T. (2010). Mathematical modeling of plant growth and development. University of Agriculture Press.

Kulig, B., Klimek-Kopyra, A., & Oleksy, A. (2020). Plant cultivation. University of Agriculture Press.

Dr. Adina Aniculaesei | Technology | Best Researcher Award

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Dr. Adina Aniculaesei | Technology | Best Researcher Award

Dr. Adina Aniculaesei , Postdoctoral Researcher, Department of Computer Science and Engineering, University of Gothenburg and Chalmers University of Technology, Sweden.

Adina Aniculăesei is a passionate researcher and expert in automated safety‑critical systems, currently based in Gothenburg, Sweden. Born in Iași, Romania, she has dedicated her career to making autonomous vehicles and mobile robots safer, focusing on verification, formal methods, and runtime validation. Through years of multidisciplinary research and teaching, she has shaped the future of software engineering for intelligent transportation and collaborative robotics. Her deep knowledge of formal verification and system modeling has positioned her as a leading voice in the realm of dependable and trustworthy autonomous platforms, making significant impacts in both academia and industry.

Publication Profile

Google Scholar

🎓 Education Background

Adina earned her Doctorate (Dr. rer. nat.) in Computer Science from the Clausthal University of Technology, Germany, in 2024, graduating magna cum laude. She holds an M.Sc. in Computer Science from the Technical University of Braunschweig (2011) and a B.Sc. in Computer Science from Alexandru Ioan Cuza University, Romania (2007). An Erasmus–Socrates scholar, she enriched her studies with a year at the Technical University of Braunschweig. Her rigorous training combined formal methods, software engineering, and automated test case generation, making her adept at tackling complex, safety‑critical domains.

💼 Professional Experience

Adina Aniculăesei has worked as a Postdoctoral Researcher at the University of Gothenburg and Chalmers University of Technology (since October 2024), focusing on translating formal behavioral specifications into ROS2 nodes for collaborative robot applications. Previously, she served as a Doctoral Researcher and Research Assistant at TU Clausthal, leading industry collaborations, teaching, and mentoring students. Her experience includes roles across software and systems engineering, with a strong focus on safety, formal verification, and automated test generation for automotive and robotics domains, making her a sought‑after expert and educator in the field.

🏅 Awards and Honors

Throughout her academic journey, Adina Aniculăesei has been recognized for excellence and dedication. She received the Siemens Master Program Scholarship (2007–2009) and the Erasmus–Socrates Scholarship (2005–2006). Her doctoral studies earned her the magna cum laude distinction upon defending her Ph.D. thesis at Clausthal University of Technology in 2024. Additionally, she holds technical certifications including ISAQB Certified Professional for Software Architecture and ISTQB Certified Tester Foundation Level, highlighting her commitment to mastering both theoretical and practical elements of her field.

🔍 Research Focus

Adina Aniculăesei’s research centers on formal verification, automated test generation, and runtime monitoring for automated safety‑critical and collaborative multi‑agent systems. She explores methods for specifying, verifying, and validating complex operational design domains (ODDs) for autonomous vehicles and mobile robots. Her expertise includes formal methods (SPIN, NuSMV, PRISM), test case generation, model checking, and AI‑based environment perception, making her work pivotal in shaping next‑generation transportation and robotics technologies.

✅ Conclusion

With a profound background in formal methods, automated test generation, and verification of safety‑critical systems, Adina Aniculăesei has established herself as an influential expert in both academia and industry. Her dedication to mentoring students, publishing impactful research, and collaborating with international institutions has positioned her as a thought leader in software engineering for dependable, trustworthy, and safe autonomous technologies.

📚 Publication Top Notes

  • Towards a holistic software systems engineering approach for dependable autonomous systems – Proceedings of the 1st International Workshop on Software Engineering for AI (2018). Cited by 70
  • Towards the verification of safety‑critical autonomous systems in dynamic environments – arXiv preprint (2016). Cited by 42
  • Automated generation of requirements‑based test cases for an adaptive cruise control system – IEEE Workshop on Validation, Analysis and Evolution of Software Tests (2018). Cited by 24
  • UML‑based analysis of power consumption for real‑time embedded systems – IEEE 10th International Conference on Trust, Security and Privacy in Computing and Communications (2011). Cited by 24
  • Graceful degradation of decision and control responsibility for autonomous systems based on dependability cages – 5th International Symposium on Future Active Safety Technology Toward Zero Accidents (2019). Cited by 14