Xinyu Liu | Regression Analysis | Young Innovator Award

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Dr. Xinyu Liu | Regression Analysis | Young Innovator Award

Peking University | China

Dr. Xinyu Liu is a postdoctoral researcher specializing in Microeconomics, Development Economics, and Finance, with a particular focus on e-commerce, consumption behavior, entrepreneurship, housing demolition, and cross-shareholding in China. Dr. Liu earned a Ph.D. in Management (Agricultural Economics and Management) from Peking University, with a dissertation examining the impact of e-commerce on rural residents’ sales and consumption, and a B.E. in Economics from Southwestern University of Finance and Economics. Currently, Dr. Liu is a postdoctoral fellow at the China International Capital Corporation (CICC) Global Institute and Fudan University, exploring cross-shareholding and firm innovation under the guidance of senior economists. Dr. Liu also served as a short-term consultant at the World Bank, analyzing fertility preferences. With five publications, including in Economic Development and Cultural Change, Cities, and PNAS Nexus, Dr. Liu’s work has been cited 30 times across 30 documents, achieving an h-index of 2. Recognized for academic excellence, Dr. Liu has received multiple awards, including the Peking University Second-Class Scholarship and Best Paper Awards at international conferences. Current research explores digital transformation in agriculture, rural e-commerce expansion, and the economic consequences of housing demolition. Dr. Liu’s research contributes to sustainable and inclusive economic development in China and beyond.

Profile : Scopus

Featured Publications

Wang, X., Ren, Y., Yamauchi, F., Huang, J., & [Author]. (2025). “The power of the anti-corruption campaign: Evidence from cigarette and alcohol consumptions in China.” Economic Development and Cultural Change, 73(2), 941–977.

He, Z., Shi, X., Sun, X., & [Author]. (2024). “Housing demolition and entrepreneurship: Evidence from China.” Cities, 152, 105201.

Wang, X., Min, S., Jin, S., Huang, J., & [Author]. (2025). “The influence of improved wheat and maize varieties on infant mortality in China.” PNAS Nexus, 4(2), pgaf048.

Huang, J., Su, L., Huang, Q., & [Author]. (2022). “Facilitating inclusive ICT application and e-commerce development in rural China.” Agricultural Economics, 53(6), 938–952.

Yu Xiao | Data Science | Research Excellence Award

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Dr. Yu Xiao | Data Science | Research Excellence Award

Beijing Normal University | China

Yu Xiao He is a lecturer at Beijing Normal University with a strong background in decision science and operations research. He received his B.S. degree in Communication Engineering from Sichuan University, Chengdu, China, in 2014, and earned his Ph.D. in Management Science from the National University of Defense Technology, China, in 2020. He worked at the National University of Defense Technology from 2020 to 2022 before joining Beijing Normal University. His research focuses on multi-criteria decision analysis (MCDA) and rank aggregation, as well as graph theory and voting theory, addressing challenges in ranking, consensus building, and decision support. To date, he has published 24 documents, which have collectively received 158 citations, resulting in an h-index of 8, reflecting his growing influence in his fields of expertise. His contributions combine rigorous theoretical development with practical applications, aiming to improve methods for aggregating rankings and supporting complex decision-making processes. Recognized for his interdisciplinary approach, he integrates engineering, management, and social-choice methodologies in his work. Overall, Yu Xiao He is a rising scholar whose research is advancing both the theory and practice of multi-criteria decision-making, ranking aggregation, and graph-based modeling, offering valuable insights for academics and practitioners alike.

Profiles : Scopus | Orcid

Featured Publications

Xiao, Y., Wang, B., Deng, Y., & Wu, J. (2025). “From ratings to rankings: A complementary approach for student evaluations of teaching in higher education.” Studies in Educational Evaluation.

Zhu, H., Xiao, Y., Chen, D., & Wu, J. (2025). “A robust rating aggregation method based on temporal coupled bipartite network.” Information Processing & Management.

Li, G., Xiao, Y., & Wu, J. (2024). “Rank aggregation with limited information based on link prediction.” Information Processing & Management.

Xiao, Y., Zhu, H., Chen, D., Deng, Y., & Wu, J. (2023). “Measuring robustness in rank aggregation based on the error-effectiveness curve.” Information Processing & Management.

Xiao, Y., Deng, H.-Z., Lu, X., & Wu, J. (2021). “Graph-based rank aggregation method for high-dimensional and partial rankings.” Journal of the Operational Research Society.

Lan Xie | COVID-19 Analysis | Research Excellence Award

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Assoc. Prof. Dr. Lan Xie | COVID-19 Analysis | Research Excellence Award

Tsinghua University | China

Assoc. Prof. Dr. Lan Xie is a leading researcher in drug discovery and traditional Chinese medicine (TCM) integration with modern biomedical technologies. She earned her M.D. in Clinical Medicine from Peking University and a Ph.D. in Biology from Tsinghua University. Dr. Xie completed postdoctoral training at Tsinghua University and a visiting scholar program at the University of Pittsburgh. She has held faculty positions at Tsinghua University since 2014, currently serving as Associate Professor at the School of Basic Medical Sciences. Her research focuses on combining TCM with systems biology, multi-omics, and artificial intelligence to develop novel therapeutic strategies. She pioneered the Molecular Materia Medica database and an intelligent TCM formulation algorithm leveraging gene expression profiles and dysregulated disease pathways. Her work has been recognized with numerous awards, including the Huaxia Medical Science and Technology Award, International Award for Contribution to Chinese Medicine, and multiple Tsinghua University teaching excellence awards. Dr. Xie’s research achievements encompass high-throughput TCM bioactive component screening, single-cell omics-based mechanistic studies, and pathway-guided intelligent drug formulation. With 1,716 citations by 47 documents, 47 publications, and an h-index of 24, her contributions continue to advance modern medicine by bridging traditional knowledge and cutting-edge technology.

Profile : Scopus

Featured Publications

“A universal gene expression signature-based strategy for the high-throughput discovery of anti-inflammatory drugs.” Inflammation Research. 2025.

“Identification of the fruit of Brucea javanica as an anti-liver fibrosis agent working via SMAD2/SMAD3 and JAK1/STAT3 signaling pathways.” Journal of Pharmaceutical Analysis. 2025.

“Pulsatilla chinensis functions as a novel antihyperlipidemic agent by upregulating LDLR in an ERK-dependent manner.” Chinese Medicine United Kingdom. 2024.

“Mechanism study of Xiaoyao San against nonalcoholic steatohepatitis-related liver fibrosis based on a combined strategy of transcriptome analysis and network pharmacology.” Pharmaceuticals. 2024.

Helen Thouless | Qualitative Research | Research Excellence Award

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Dr. Helen Thouless | Qualitative Research | Research Excellence Award

St MAry’s University Twickenham | United Kingdom

Dr. Helen Thouless is a Senior Lecturer in Primary Mathematics at St Mary’s University, Twickenham, with a PhD in Learning Sciences from the University of Washington (2014), where her dissertation examined whole-number place-value understanding in children with dyslexia. She also holds a Masters in Teaching (University of Washington, 2001) and a BA in Psychology (Reed College, 1995). With extensive experience in both US and UK schools, she has taught primary mathematics, special education, and early years settings, including international experience in Tanzania. Her research focuses on mathematics learning for children with learning difficulties, early-years patterning, and inclusive pedagogy, employing methodologies such as clinical interviews, observations, video analysis, and action research. She has authored books including The Power of Pattern: Patterning in the Early Years and co-edited Enabling Mathematics Learning of Struggling Students. Dr. Thouless has contributed to numerous peer-reviewed publications on early mathematics, pattern recognition, and special education, with an h-index of 1, 5 published documents, and 3 citations across key works. She supervises PhD and EdD students, contributes to teacher education programs, and holds leadership roles in educational organizations promoting mathematics inclusion. Her work bridges research and practice, aiming to make mathematics accessible, conceptually rich, and engaging for all learners.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Ockelford, A., McCarthy, S., Gifford, S., Thouless, H., Kirk, S., & Thorpe, M. (2025). “Towards a new taxonomy of pattern-making in the visuo-spatial domain in early childhood based on zygonic theory and the Sounds of Intent framework of musical development.” Music & Science.

Thouless, H., Xin, Y. P., & Tzur, R. (2022). Enabling mathematics learning of struggling students: International perspectives.

Thouless, H., Borthwick, A., & Gifford, S. (2021). The power of pattern: Patterning in the early years.

Thouless, H., Gifford, S., Moses, K., & James, R. (2020). “Reasoning about patterns.” Mathematics Teaching.

Thouless, H., & Gifford, S. (2019). “Dotty triangles.” For the Learning of Mathematics.

Chao Li | Data Processing | Research Excellence Award

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Dr. Chao Li | Data Processing | Research Excellence Award

Qingdao Technical College | China

Dr. Chao Li is an engineering scholar and lecturer whose work bridges professional education and applied research in advanced sensing technologies. He holds a doctoral degree in engineering and completed his undergraduate studies in industrial equipment and control engineering, where he built a strong foundation in intelligent systems. Since 2019, he has focused extensively on indoor mapping and positioning, integrating theoretical innovation with engineering-driven problem-solving. His research experience includes serving as a core contributor to multiple provincial key R&D initiatives and collaborations with major technology enterprises, where he helped develop applied solutions for real-world industrial environments. He has published several SCI-indexed journal articles as a first or corresponding author and holds an invention patent that reflects the practical impact of his work. In addition to research, he is dedicated to teaching and curriculum development in professional courses, promoting hands-on learning and interdisciplinary thinking. His academic achievements demonstrate a commitment to advancing positioning technologies, enhancing industry–academia collaboration, and addressing emerging challenges in smart manufacturing and intelligent monitoring. Looking ahead, he aims to continue deepening his contributions to indoor mapping and positioning, driving innovation that supports both scientific development and technological progress.

Profile : Orcid

Featured Publications

Li, C., Chai, W., Zhang, M., Sun, Z., Shao, G., & Li, Q. (2023). “A novel visual-aided method to enhance the inertial navigation system of an intelligent vehicle in indoor environments.” IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/TIM.2023.3293884

Chai, W., Li, C., & Li, Q. (2023). “Multi-sensor fusion-based indoor single-track semantic map construction and localization.” IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2022.3226821

Li, C., Chai, W., Wu, Q., Li, J., Lin, F., Li, Z., & Li, Q. (2022). “A graph optimization enhanced indoor localization method.” In 2022 International Conference on Computers, Information Processing and Advanced Education (CIPAE). https://doi.org/10.1109/cipae55637.2022.00055

Li, C., Chai, W., Yang, X., & Li, Q. (2022). “Crowdsourcing-based indoor semantic map construction and localization using graph optimization.” Sensors. https://doi.org/10.3390/s22166263

Chai, W., Li, C., Zhang, M., Sun, Z., Yuan, H., Lin, F., & Li, Q. (2021). “An enhanced pedestrian visual-inertial SLAM system aided with vanishing point in indoor environments.” Sensors. https://doi.org/10.3390/s21227428

JianHua Xie | Engineering | Excellence in Research

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Prof. Dr. JianHua Xie | Engineering | Excellence in Research

Xinjiang Agricultural University | China

Prof. Dr. Xie Jianhua is a Professor of Engineering and a supervisor of both master’s and doctoral students, specializing in agricultural engineering and machinery. She is an active member of the Chinese Society of Agricultural Engineering and the Chinese Society of Agricultural Machinery. She holds a Ph.D. in Engineering and has led and participated in numerous national and provincial research projects, including the National Natural Science Foundation of China project on the working mechanism of rod-tooth type film collecting and unloading mechanisms, as well as projects on intelligent monitoring of crop production and mechanization of sugar beet planting and harvesting. Prof. Xie has published over 60 academic papers, with more than 20 indexed in SCI/EI journals. Her work has received 307 citations across 228 documents, with an h-index of 10. She has obtained 10 invention patents, over 10 utility model patents, and 4 software copyrights. Her research focuses on intelligent agricultural machinery, mechanization of crop production, automation, and innovative system design for agricultural processes. She has been recognized with multiple awards, including a First Prize for Provincial and Ministerial Technological Invention, a Second Prize for Science and Technology Progress, and multiple Third Prizes for Science and Technology Progress and regional excellence. Prof. Xie’s work combines engineering innovation with practical agricultural applications, making significant contributions to modern agricultural mechanization.

Profile : Scopus

Featured Publications

Design and Experimental Investigation of Pneumatic Drum-Sieve-Type Separator for Transforming Mixtures of Protaetia Brevitarsis Larvae. Agriengineering, 2025.

Design and Experimental Evaluation of a Rotary Knife-Type Device for Chopping Film-Mixed Residues. Agriculture (Switzerland), 2025.

Design and Experiment of Rotary Knife-Axial Flow Drum Combined Device for Chopping and Separating Film Residue Mixture. Nongye Jixie Xuebao (Transactions of the Chinese Society for Agricultural Machinery), 2025.

Daxiong Ji | Data Analysis | Research Excellence Award

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Dr. Daxiong Ji | Data Analysis | Research Excellence Award

Zhejiang University | China

Dr. Daxiong Ji is an Associate Professor at the Institute of Marine Electronics and Intelligent Systems, Ocean College, Zhejiang University, and a Senior Member of IEEE. He earned his Ph.D. in Pattern Recognition and Intelligent Systems from the University of Chinese Academy of Sciences and a B.S. in Automation from Wuhan Polytechnic University. Dr. Ji has held visiting scholar positions at the University of Melbourne, University of Plymouth, and University of Victoria, collaborating internationally on advanced marine robotics research. His expertise spans automatic control, artificial intelligence applications, autonomous marine robotics, electrical engineering, and intelligent systems. He has supervised numerous undergraduate, master’s, and doctoral students, leading courses on Marine Robot Design, Marine Intelligent Systems, and Professional Practices. Dr. Ji has received multiple honors, including the First Prize of Zhejiang Provincial Teaching Achievement Award, recognition as an Excellent Moral Education Mentor, and awards for scientific and technological achievements from the Chinese Academy of Sciences. He has led and participated in numerous national and international research projects, focusing on autonomous navigation, fault diagnosis, and data-driven control of underwater vehicles. Dr. Ji is also an accomplished inventor with multiple patents in underwater robotics and autonomous systems. His research has been widely published in top journals, reflecting significant contributions to marine intelligent systems.

Profiles : Orcid | Google Scholar

Featured Publications

Ji, D.; Ogbonnaya, S.G.; Hussain, S.; Hussain, A.F.; Ye, Z.; Tang, Y.; Li, S. Three-Dimensional Dynamic Positioning Using a Novel Lyapunov-Based Model Predictive Control for Small Autonomous Surface/Underwater Vehicles. Electronics, 2025, 14(3), 489.

Xu, L.; Ji, D. Online Fault Diagnosis Using Bioinspired Spike Neural Network. IEEE Transactions on Industrial Informatics, 2024.

Zhou, J.; Ye, Z.; Zhao, J.; Ji, D.; Peng, Z.; Lu, G.; Tadda, M.A.; Shitu, A.; Zhu, S. Multi-detector and Motion Prediction-Based High-Speed Non-Intrusive Fingerling Counting Method. Biosystems Engineering, 2024, 218, 1–15.

Ji, D.; Wang, R. Path Following of QAUV Using Attitude-Velocity Coupling Model. Ocean Engineering, 2024, 293, 116885.

Ji, D.; Cheng, H.; Zhou, S.; Li, S. Dynamic Model-Based Integrated Navigation for a Small and Low-Cost Autonomous Surface/Underwater Vehicle. Ocean Engineering, 2023, 273, 114091.

Lining Huang | Bioinformatics | Research Excellence Award

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Mr. Lining Huang | Bioinformatics | Research Excellence Award

The Second Hospital of Hebei Medical University | China

Dr. Huang is a distinguished researcher and attending physician specializing in perioperative neuroscience, with a Ph.D. in anesthesiology from Hebei Medical University. His career has centered on elucidating the molecular pathways through which blood–brain barrier dysfunction contributes to neurocognitive decline in aging surgical populations. Integrating molecular biology, neuroimaging, immunology, and microbiome science, he has established a multidisciplinary research program that advances understanding of the vascular–immune mechanisms driving perioperative neurocognitive disorders. From anesthesia-induced neurotoxicity in early studies to complex “vascular-immune–microbiome” interactions in recent work, his contributions span preclinical models, translational investigations, and clinical cohort studies. He has served as principal investigator on more than ten major funded projects, including multiple National Natural Science Foundation of China grants, and has earned notable distinctions such as the Hebei Province Science and Technology Progress Award and several first-prize Hebei Medical Science Awards. His commitment to academic scholarship includes translating Miller’s Anesthesia, editing national textbooks, and co-authoring expert consensus guidelines that shape anesthesiology education and practice nationwide. With a portfolio of influential publications and six national patents in airway-management innovations, Dr. Huang continues to advance therapeutic development and scientific knowledge in surgical brain protection and perioperative cognitive health.

Profile : Scopus

Featured Publications

SPP1-mediated crosstalk between macrophages and fibroblasts promotes benign airway stenosis. (2025). Archives of Biochemistry and Biophysics.

Association between preoperative blood–brain barrier permeability and postoperative delirium in older patients undergoing cardiac surgery: a pilot study. (2025). Aging Clinical and Experimental Research.

Central neuropeptides as key modulators of astrocyte function in neurodegenerative and neuropsychiatric disorders. (2025).

Neonatal sevoflurane exposure disrupted fatty acids metabolism, leading to hypomyelination and neurological impairments. (2025). Biomedicine and Pharmacotherapy.

Wentao Chen | Data Analysis | Research Excellence Award

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Mr. Wentao Chen | Data Analysis | Research Excellence Award

Nanjing University of Information Science and Technology | China

Mr. Wentao Chen is a dedicated geography researcher currently pursuing a master’s degree with a strong academic foundation in geographical science, remote sensing, and spatial data analysis. Building upon his undergraduate training in earth science, geomorphology, meteorology, ecology, and GIS, he has developed a solid interdisciplinary background that supports his growing expertise in coastal and environmental studies. His research experience includes participation in major national projects, such as investigations into coastline evolution under global change and studies on carbonate leaching processes and carbon sequestration in coastal soil chronosequences. As the first author of a peer-reviewed article in Remote Sensing, he contributed significant insights into tidal mudflat sediment-thickness identification using ground-penetrating radar, demonstrating improved methodological accuracy through advanced signal-processing techniques. His academic performance has been recognized with multiple scholarships and awards, reflecting consistent commitment and scholarly potential. His primary research interests lie in coastal geomorphology, environmental remote sensing, and GIS-based spatial analysis, with a particular focus on coastal dynamic processes and subsurface structural characterization. Continually motivated to expand his technical and research capabilities, he aims to contribute meaningful scientific understanding to the fields of coastal environmental change and geospatial technology.

Profile : Orcid

Featured Publication

Chen, W., Zhao, C., Zheng, G., Zhu, J., & Li, X. (2025). “Identification of the Sediment Thickness Variation of a Tidal Mudflat in the South Yellow Sea via GPR.” Remote Sensing.

 

Min Zhang | Medical Imaging Analytics in Radiation Oncology | Best Innovation Award

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Prof. Min Zhang | Medical Imaging Analytics in Radiation Oncology | Best Innovation Award

Peking University People’s Hospital | China

Dr. Min Zhang is an accomplished radiation oncologist and academic leader with comprehensive medical training, including integrated bachelor’s–master’s studies and a Ph.D. in Oncology from Peking University Health Science Center. With extensive experience in thoracic, breast, and bone tumor radiotherapy, she has developed strong expertise in precision treatment planning and AI-assisted dose calculation. As an Associate Chief Physician and Associate Professor at Peking University People’s Hospital, she leads multiple provincial-level research projects focused on synthetic CT–based dose computation and GPU-accelerated Monte Carlo algorithms. Her scholarly contributions include first-author and corresponding-author publications in high-impact SCI journals, book translation work for a major neurosurgery textbook, and several granted patents in radiotherapy devices and positioning systems. She also participates in industry-funded research and actively collaborates with multidisciplinary teams across oncology specialties. Her professional memberships in regional radiation oncology and neuro-oncology committees reflect her engagement in advancing clinical standards and scientific exchange. Recognized for her commitment to innovation and improved patient outcomes, Dr. Zhang continues to contribute significantly to the evolution of evidence-based radiotherapy. Her sustained efforts in research, technological optimization, and clinical practice underscore her dedication to improving cancer treatment efficacy and shaping the future of radiation oncology.

Profile : Orcid

Featured Publications

Zhang, M., Gao, X., Gao, T., Li, H., Sheng, X., Su, M., & Jia, C. (2025). “A retrospective study on Mohs micrographic surgery combined with adjuvant radiotherapy in the treatment of extramammary Paget’s disease: analysis of 87 patients.” Postgraduate Medical Journal.

Zhang, M. “Accuracy study of deep learning-based synthetic CT images for adaptive radiotherapy of pelvic tumors.” Current Radiopharmaceuticals.

Zhang, M. “Co-translator of the radiotherapy-related sections.” In Oxford Textbook of Neurological Surgery (ISBN: 978-7-5659-3071-3).