Hye Su Jeong | Pharmacoepidemiology | Research Excellence Award

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Dr. Hye Su Jeong | Pharmacoepidemiology | Research Excellence Award

SK Bioscience, South Korea

Dr. Hye Su Jeong is an epidemiologist and medical informatics specialist with a PhD from Korea University, where her research focused on signal detection of COVID-19 vaccine adverse events, following a master’s degree in Epidemiology and Health Informatics and a bachelor’s degree in Nursing. She is currently an RWE Specialist in Medical Affairs at SK bioscience, leading real-world evidence studies on vaccine safety, effectiveness, and healthcare utilization while supporting regulatory-aligned post-marketing research and cross-functional medical strategies. Previously, she served as a postdoctoral researcher under the BK21 L-HOPE Program, contributing to learning health system and smart health city research with international collaborations. Her extensive pharmacovigilance experience includes work as a nurse at the National Medical Center’s Drug Safety Monitoring Center, where she established and managed adverse event monitoring systems and conducted national-level vaccine and drug safety studies, including COVID-19 vaccines and remdesivir. Earlier, she worked as a Clinical Research Coordinator at Seoul National University Hospital, managing phase 2–4 clinical trials, multicenter studies, and regulatory audits. Dr. Jeong has presented widely at international conferences and has received multiple honors, including the Best Paper Award from the Korean Society for Pharmacoepidemiology and Risk Management and the Korea University Graduate School Excellent Thesis Award.

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Emmanuel Ugwu | Seed Science and Technology | Young Scientist Award

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Mr. Emmanuel Ugwu | Seed Science and Technology | Young Scientist Award

Center for Dryland Agriculture, Nigeria

Mr. Emmanuel Ugwu is an experienced agronomist and seed science professional currently serving as Coordinator of the Horticultural Learning Site at the Centre for Dryland Agriculture, Bayero University, Kano, where he oversees farm operations, labor management, budgeting, reporting, and sustainable horticultural practices. He also works as a freelance agricultural consultant and researcher, providing technical, research, crop, and livestock advisory services while linking farmers to markets nationwide. Previously, he worked as an Agronomist with the Maize Technical Team at Value Seeds Limited, leading seed production, quality assurance, soil testing, pest and disease management, field trials, and farmer training across Kaduna State. His career includes roles as Agronomist/Extension Team Lead, Farm Manager, Graduate Intern in Ghana, and Graduate Assistant at Nnamdi Azikiwe University, with strong experience in crop improvement, seed production, farm management, and extension services. He holds an MPhil in Seed Science and Technology from the University of Ghana and a First Class Bachelor’s degree in Crop Science from the University of Nigeria, Nsukka. He is professionally certified in vegetable production, crop advisory training, soybean agronomy, and integrated pest management through internationally recognized programs.

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Georgios Nikolaou | Agricultural Engineering | Research Excellence Award

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Dr. Georgios Nikolaou | Agricultural Engineering | Research Excellence Award

Department of Agriculture (DOA), Cyprus

Dr. Georgios Nikolaou is an Agronomist specializing in Irrigation Engineering and Greenhouse Technologies, with professional experience since 2005 at the Ministry of Agriculture, Rural Development and Environment. His expertise includes the design, inspection, and auditing of large-scale pressurized irrigation systems, irrigation scheduling based on evapotranspiration modelling, and environmental control of plant production units. He holds a PhD from the University of Thessaly focused on greenhouse microclimate effects on hydroponic irrigation scheduling in Mediterranean conditions, complemented by strong research skills in phyto-sensing and precision agriculture. In addition, he earned an MBA from the Cyprus International Institute of Management, strengthening his competencies in strategic planning, decision-making, and agricultural cluster development. His academic foundation includes BSc and MSc degrees from Aristotle University of Thessaloniki, with extensive experience in crop production, irrigation planning, and sustainable farming practices. In recognition of his scientific excellence, he was awarded the EMS Tromp Award for Outstanding Achievement in Biometeorology in 2025.

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Maikel Leon | Artificial Intelligence | Research Excellence Award

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Assoc. Prof. Dr. Maikel Leon | Artificial Intelligence | Research Excellence Award

University of Miami, United States

Assoc. Prof. Dr. Maikel Leon is an accomplished academic and AI specialist with a Ph.D. in Computer Science focused on artificial intelligence applied to transportation from Hasselt University, Belgium, and summa cum laude degrees from the Central University of Las Villas, Cuba. Since 2015, he has been a faculty member at the Department of Business Technology, Miami Herbert Business School, University of Miami, teaching and coordinating a wide range of courses in business analytics, programming, machine learning, databases, and artificial intelligence for business. His academic career spans institutions in the United States and Cuba, reflecting strong international teaching and research experience. Dr. Leon is an active reviewer and program committee member for leading journals and conferences, including IEEE Transactions on Fuzzy Systems and FLAIRS. He has received prestigious honors such as the Best Paper Award at the IEEE ICTAI Conference and the Cuban National Academy of Sciences Award for outstanding research. Beyond academia, he is a frequent media commentator on AI, a certified professional in generative AI and cloud technologies, and a leader in innovative teaching, entrepreneurship, and international collaboration initiatives.

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Tarek Khalil | Surgical pathology | Research Excellence Award

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Mr. Tarek Khalil | Surgical pathology | Research Excellence Award

Ninewells, United Kingdom

Mr. Tarek Khalil is a disciplined and highly motivated surgical trainee at Ninewells Hospital, deeply committed to excellence in patient care and to continuous clinical and academic development. He adopts a proactive approach to surgery, consistently striving for improvement, with experience enriched through multiple audits and quality improvement projects, national and international presentations, peer-reviewed research publications, and ongoing studies aimed at advancing surgical knowledge and patient outcomes. He possesses strong statistical proficiency, with the ability to conduct diverse quantitative analyses to support evidence-based research. Alongside his clinical work, he demonstrates leadership and teaching excellence as a faculty member of the Royal College of Surgeons of Edinburgh, delivering teaching on the Core Surgical Training preparation course since 2020. He is also the developer and lead instructor of an international Duke Elder examination course at the University of Dundee, established in 2019, which has attracted participants from the UK, Europe, North America, and the Middle East, running annually in both in-person and online formats. The course has raised approximately £1,000 per year, all of which has been donated to charitable causes, reflecting his strong commitment to education, mentorship, and social responsibility.

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Lijuan Du | Agricultural and Biological Sciences | Research Excellence

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Mrs Lijuan Du | Agricultural and Biological Sciences | Research Excellence Award 

Institute of Quality Standards & Testing Technique, Yunnan Academy of Agricultural Sciences | China

Du Lijuan is an accomplished Associate Researcher at the Institute of Quality Standards and Testing Technology, Yunnan Academy of Agricultural Sciences, with more than fifteen years of professional experience dedicated to agricultural product quality, food safety, and standards development. Born in February 1981, she holds a Master of Engineering degree from the China National Research Institute of Food Fermentation Industries, where she received advanced training in food science, processing technologies, and quality evaluation systems. Her career reflects a strong commitment to safeguarding food quality and promoting sustainable agricultural development, particularly within the context of China’s rapidly evolving agri-food sector. Since joining the Yunnan Academy of Agricultural Sciences in 2009, Du Lijuan has played a vital role in strengthening quality assurance systems for agricultural products. Her research focuses on food safety testing methodologies, quality standards formulation, traceability technologies, and identity identification of characteristic and geographical indication agricultural products. She has been deeply involved in advancing green and organic agricultural production, with particular emphasis on plateau characteristic products unique to Yunnan Province. Through her work, she contributes directly to improving consumer trust, regulatory compliance, and the market competitiveness of agricultural products. A significant aspect of her professional achievements lies in standards formulation and policy support. She has led the development of two Industry Standards of the Ministry of Agriculture and Rural Affairs, namely Green Food – Edible Fungi and Green Food – Seasoning Oil, and has participated in the formulation of additional national and group standards. These contributions have had a lasting impact on the normalization, safety, and quality control of green food products in China. Her innovative capacity is further demonstrated by her role as first inventor of four authorized patents, reflecting her ability to translate research outcomes into practical technological solutions. Du Lijuan has been actively involved in numerous provincial science and technology programs, including projects supporting the construction of the “Green Food Brand,” quality and safety supervision systems, and traceability platforms for organic and geographically indicated agricultural products.

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Christian Schachtner | Data Science | Research Excellence Award

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Prof. Dr. Christian Schachtner | Data Science | Research Excellence Award

Full Professor at Hochschule RheinMain, Germany

Prof. Dr. Christian Schachtner has made significant scholarly contributions through his monographs and editorial work in the fields of smart governance, smart cities, and digital transformation in the public sector. In 2025, he edited Smart Public Governance, a volume in the Kohlhammer Publishing series, scheduled for publication in the first quarter of 2026. He also co-edited, with M. Brunzel, the Handbook Smart Cities / Smart Regions, likewise forthcoming from Kohlhammer Publishing in early 2026. His edited book The European Smart City Movement  Case Studies from Around Europe, published by Springer in Chur, presents comprehensive insights into smart city practices across Europe. In the same year, he authored CDOs im öffentlichen Sektor – Perspektiven auf Chief Digital Officers und Strategien zur digitalen Transformation, published by Springer, which explores the evolving role of Chief Digital Officers in public administration. Collectively, these works highlight his expertise in digital governance, urban innovation, and strategic public-sector transformation.

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Lyubka Pashova | Earth and Planetary Sciences | Research Excellence Award | 25942

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Assoc. Prof. Dr Lyubka Pashova | Earth and Planetary Sciences | Research Excellence Award

National Institute of Geophysics, Geodesy and Geography – Bulgarian Academy of Sciences | Bulgaria

Assoc. Professor Lyubka Pashova is a distinguished geodesist and geoscientist at the National Institute of Geophysics, Geodesy and Geography (NIGGG), Bulgarian Academy of Sciences, where she has been serving as an Associate Professor since 2012. With a strong academic foundation rooted in engineering geodesy, cartography, and photogrammetry, she brings over three decades of professional and research experience to the advancement of modern geosciences. She earned her M.Sc. in Geodesy, Cartography and Photogrammetry from the University of Architecture, Civil Engineering and Geodesy (UACEG), Sofia, and later completed her Ph.D. in General, Higher and Applied Geodesy at the Bulgarian Academy of Sciences. Assoc. Prof. Pashova’s research is internationally recognized for its interdisciplinary scope and societal relevance. Her core scientific interests focus on geodetic reference coordinate and height systems, local and regional geodynamic processes, sea level change and its linkage to climate change, and the application of advanced mathematical, statistical, and intelligent methods for geospatial data analysis. A defining feature of her work is the integration of GNSS, satellite remote sensing, UAV photogrammetry, GIS, and big data analytics to address complex natural hazards such as earthquakes, floods, landslides, and tsunamis, particularly in the Balkan and Black Sea regions. She has played key roles in numerous national, European, NATO, and ESA-funded projects, both as a participant and as a project manager. Notably, she has managed projects related to tsunami hazard and risk assessment in the Black Sea and contributed significantly to initiatives on flood risk management, Copernicus services, digital geodetic twins, and disaster preparedness. Her leadership extends to supervising doctoral students, coordinating interdisciplinary teams, and contributing to the development of research infrastructure and capacity building in geodesy and geospatial sciences.

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Global TEC maps based on GNSS data: 1. Empirical background TEC model

– Journal of Geophysical Research: Space Physics , 2013


Conceptual framework for educational disaster centre “Save the Children Life”

– The International Archives of the Photogrammetry, Remote Sensing and Spatial, 2015 | Cited by 225

 

Shengchao Liu | Computer Science | Research Excellence Award

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Dr. Shengchao Liu | Computer Science | Research Excellence Award

The Chinese University | Hong Kong

Shengchao Liu is a tenure-track Assistant Professor in the Department of Computer Science and Engineering at The Chinese University of Hong Kong, whose research lies at the intersection of machine learning, geometry, and scientific discovery. His work focuses on developing foundation models and physics-inspired learning frameworks for molecules, proteins, and materials, with the long-term goal of accelerating discovery in chemistry, biology, and materials science. By integrating multi-modal data, symmetry principles, and domain knowledge, his research bridges theoretical advances in AI with real-world experimental impact. A central theme of Dr. Liu’s research is geometric and symmetry-informed representation learning. He has pioneered group-equivariant and manifold-constrained generative models that respect the underlying physical laws of molecular and material systems. His contributions include SE(3)-invariant pretraining methods, group-symmetric stochastic differential equation models, and rigid flow matching techniques, which have significantly improved the fidelity and interpretability of molecular generation and dynamics modeling. These methods form a unifying framework for learning across molecules, proteins, and crystalline materials, as demonstrated in his influential works at ICLR, ICML, NeurIPS, and AISTATS. Dr. Liu’s work is deeply collaborative and interdisciplinary. He has worked closely with leading researchers across academia and industry, including Mila, UC Berkeley, NVIDIA Research, and national laboratories. As a Principal Investigator, he has led NERSC-supported projects on foundation models for material discovery, leveraging large-scale GPU resources to push the frontier of generative AI for science. His research has also contributed widely used open-source resources, including geometric graph learning benchmarks and toolkits adopted by the broader AI-for-science community.

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Pre-training Molecular Graph Representation with 3D Geometry

– International Conference on Learning Representations , 2021 | Cited by 574


N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules

– Advances in Neural Information Processing Systems, 2019 | Cited by 295


A text-guided protein design framework

– Nature Machine Intelligence, 2025 | Cited by 225