Mr. Qirui Zhang | Digital Agriculture | Research Excellence Award
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View Scopus Profile View ORCID Profile
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.
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.
Agricultural University in Krakow | Poland
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.
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.
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.
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.
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.
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.
PhD Candidate, Central China Normal University, China
SABITEKA Micheline is a passionate academic and emerging researcher in the field of Educational Technology and Artificial Intelligence in Education. She is currently pursuing her Ph.D. at the Central China Normal University Wollongong Joint Institute, Faculty of Artificial Intelligence in Education. Alongside her doctoral journey, she contributes as an Assistant Lecturer at École Normale Supérieure de Bujumbura. With a strong foundation in applied pedagogy, she is dedicated to fostering technological innovations in teaching and learning, especially for developing countries 🌍💻.
Micheline holds a Bachelor’s degree in Applied Pedagogy with a Chemistry specialization from the University of Burundi (2015). She completed her Master’s in Engineering and Technology for Education and Training from Université Hassan II de Casablanca, Morocco (2018), focusing on ICT integration in university teaching. Currently, she is a Ph.D. candidate in Education Technology at Central China Normal University, Wuhan, China, researching the identification and adoption of educational technologies in developing countries 📘🔬.
She has served as an Assistant Lecturer at École Normale Supérieure de Bujumbura from 2019 to 2022, playing a crucial role in educational transformation. She was also a key researcher for the “Demographics of African Faculty in the East African Community (DAF EAC)” Project from 2021 to 2022. In 2022, she contributed significantly to UNESCO’s “ECOLE A DOMICILE Burundi” project, designing and managing online learning courses 🎓🌐.
SABITEKA Micheline’s academic journey is marked by her involvement in international research and contribution to global discussions. She has published in leading journals like Sustainability and IEEE. Her editorial service includes reviewing manuscripts for the journal Education and Information Technologies. She has also authored two patents and is gaining recognition for her work in educational technology innovation 🏆📜.
Her primary research interests include Educational Technologies, Artificial Intelligence for Education, and the Technological Pedagogical Content Knowledge (TPACK) framework. Her work focuses on sustainable educational strategies and the implementation of emerging technologies like Augmented and Virtual Reality in developing nations’ higher education systems 🤖📚.
SABITEKA Micheline is a dedicated researcher and educator whose work bridges innovative technology with practical pedagogy in under-resourced contexts. Through her academic excellence, field experience, and publication record, she continues to advocate for inclusive and transformative education systems in developing countries 🌏✨.
Toward Sustainable Education: A Contextualized Model for Educational Technology Adoption for Developing Countries – Sustainability, 2025.
Cited by: 2 articles
Adoption of Teaching Strategies Leveraging on Augmented Reality & Virtual Reality in Higher Education in Less Developing Countries: A Case of BURUNDI – IEEE Conference on Intelligent Education and Intelligent Research (IEIR), 2023.
Cited by: 2 articles