Hengrui Ma | Mechanics of Functional Materials and Structures | Research Excellence Award

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Prof. Hengrui Ma | Mechanics of Functional Materials and Structures | Research Excellence Award

Associate Professor at Wuhan University of Technology | China

Professor Hengrui Ma is an accomplished Associate Professor at Wuhan University of Technology, recognized for his pioneering research in new power systems and integrated energy systems. With academic training from Wuhan University and North China Electric Power University, he has produced more than eighty publications, including highly cited papers, nationally recognized works, and award-winning research. His contributions span intelligent energy technologies, smart grids, multi-energy coordination, and system reliability. He has led major national and provincial projects, earned distinctions such as Kunlun Talents and a Geneva Invention gold medal, and serves in key academic and professional committee roles advancing next-generation energy innovation.

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Featured Publications

Muhammad Asif | Applied Mathematics | Research Excellence Award

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Assist. Prof. Dr. Muhammad Asif | Applied Mathematics | Research Excellence Award

Assistant Professor at University of Peshawar | Pakistan

Assist. Prof. Dr. Muhammad Asif is an Assistant Professor in the Department of Mathematics at the University of Peshawar, Pakistan, where he has established himself as a leading researcher, educator, and academic mentor with extensive contributions to qualitative analysis of differential equations, numerical solutions of classical and fractional differential and integral equations, numerical simulation of multi-dimensional interface problems, infectious disease modeling, and the integration of Physics-Informed Neural Networks and Artificial Neural Networks into the solution of complex ordinary and partial differential equations; he holds advanced degrees in Mathematics from the University of Peshawar and has served in key academic and administrative roles including Lecturer, Staff Proctor, BS Program Coordinator, member of multiple departmental committees, Focal Person for BS, MPhil, and PhD Self-Assessment Reports, and Focal Person for the Prime Minister Laptop Scheme, demonstrating exceptional institutional leadership; his research expertise spans meshless methods, Haar wavelet collocation techniques, multi-resolution approaches, Legendre multi-wavelets, and hybrid numerical algorithms for solving elliptic, parabolic, hyperbolic, and telegraph-type interface problems with discontinuous coefficients and complex geometries; he has supervised numerous MPhil and PhD scholars to completion and continues to guide multiple candidates in advanced mathematical modeling topics, reflecting his strong dedication to research cultivation; he has also reviewed a wide range of theses from various universities, covering subjects such as stochastic epidemic models, tempered fractional derivatives, economic dynamical systems, commuting graphs, numerical solution of Schrödinger and Black–Scholes models, fuzzy Laplace transform approaches, optimization algorithms, fluid dynamics, and peristaltic flow; his rich portfolio includes impactful publications in reputable international journals, addressing interface problems, telegraph equations, hyperbolic systems, fractional models, wavelet-based discretizations, NPZ and SIR epidemiological models, and many advanced numerical simulation techniques, establishing him as a prominent scholar in applied mathematics, computational modeling, and numerical analysis; he has also submitted competitive national research grant proposals to leading funding bodies, further highlighting his active involvement in advancing mathematical research in Pakistan.

Profile: Orcid

Featured Publications:

Bilal, F., Asif, M., Shakeel, M., & Popa, I.-L. (2025). RBF-based meshless collocation method for time-fractional interface problems with highly discontinuous coefficients. Mathematical and Computational Applications.

Asif, M., Akhtar, N., Khan, F., Bilal, F., & Popa, I.-L. (2025, August 8). Numerical treatment of hyperbolic-type problems with single and double interfaces via meshless method. Axioms.

Haq, K. S. U., Asif, M., Faheem, M., & Popa, I.-L. (2025, July 25). Capturing discontinuities with precision: A numerical exploration of 3D telegraph interface models via multi-resolution technique. Mathematics.

Asif, M., Gul, T., Riaz, M. B., & Bilal, F. (2025, June). Solution of nonlinear telegraph equation with discontinuities along the transmission line using meshless collocation method. Partial Differential Equations in Applied Mathematics.

Asif, M., Bilal, F., Haider, N., & Jarad, F. (2025, June 22). Robust numerical techniques for modeling telegraph equations in multi-scale and heterogeneous environments. Journal of Applied Mathematics and Computing.

Yongqiang Du | Data Science and Deep Learning | Research Excellence Award

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Prof. Dr. Yongqiang Du | Data Science and Deep Learning | Research Excellence Award

Professor at Tianjin University of Commerce | China

Prof. Dr. Yongqiang Du is a distinguished professor in the Department of Statistics at Tianjin University of Commerce whose academic career reflects a sustained commitment to advancing data-driven methodologies, with his work centered on the development and application of data mining techniques and statistical modeling approaches; recognized for his ability to bridge theoretical statistics with real-world analytical challenges, he has built a research profile that emphasizes the extraction of meaningful patterns from complex datasets, the design of robust quantitative frameworks, and the improvement of predictive accuracy in diverse domains; as a dedicated educator, he teaches both undergraduate and postgraduate courses in statistics and related fields, shaping future scholars and practitioners through rigorous training in statistical theory, applied analytics, and modern data methodologies, while also mentoring students in research projects that encourage original thinking and methodological depth; his professional activities include conducting research that integrates classical statistical concepts with contemporary computational techniques, contributing to the growing body of knowledge in data mining, statistical inference, and modeling strategies tailored for high-dimensional data environments; in addition to his scholarly contributions, he actively engages in collaborative academic work that supports interdisciplinary exploration, helping connect statistical science with fields such as economics, business analytics, and information systems; through his ongoing research, teaching, and service, Yongqiang Du continues to play a significant role in advancing the discipline of statistics at Tianjin University of Commerce, where his expertise, leadership, and commitment to academic excellence contribute meaningfully to the development of analytical sciences; he can be contacted at the Department of Statistics, Tianjin University of Commerce, Tianjin, China.

Profile: Scopus

Featured Publications:

(2025). A Dynamic Cost-Adjusted AdaCost Model for Credit Prediction of Smallholder Farmers. Journal of Forecasting.

Keuho Park | Data Science and Deep Learning | Excellence in Research Award

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Dr. Keuho Park | Data Science and Deep Learning | Excellence in Research Award

Principal Researcher at Korea Electronics Technology Institute | South Korea

Dr. Keuho Park is a dedicated researcher in advanced computer engineering applications, recognized for his multidisciplinary contributions that span smart agriculture, drone-based disease detection, hyperspectral image analysis, and innovative hybrid image-recognition solutions, and he currently serves as a Senior Researcher at the Korea Electronics Technology Institute in Seongnam-si within the IT Application Research Center, where he focuses on transforming real-world challenges into practical, technology-driven solutions through intelligent imaging systems, AI-powered analysis frameworks, and applied computational methods, and his academic foundation is strengthened through his ongoing doctoral work in Computer Engineering at Chonbuk National University in Jeonju, where he continuously expands his expertise in machine learning, sensor data interpretation, and digital transformation technologies, and throughout his career he has authored influential works including Comparison of Effects of Foliar Fertilizer Application of Hydrogen Water on Leaf Lettuce, which explores agricultural enhancement through innovative water-based treatments, Automated Detection of Rice Bakanae Disease via Drone Imagery, which showcases how drone platforms and visual analytics can modernize disease surveillance, Tunnel Emergence Detection Technology based on Hybrid Image Recognition, which presents practical image-based safety solutions integrating hybrid recognition techniques, and Classification of Apple Leaf Conditions in Hyper-Spectral Images for Diagnosis of Marssonina Blotch using mRMR and Deep Neural Network, which demonstrates his expertise in hyperspectral data classification and deep neural network modeling, and through this diverse portfolio Keunho Park has emerged as a leading contributor at the intersection of AI, agriculture, imaging science, and smart-system innovation, consistently advancing research that bridges technical sophistication with real-world impact.

Profile: Orcid

Featured Publications:

Park, K., Jung, S., Kim, H., Kim, S., Kang, D., Choi, J., & Park, K. S. (2025). Comparison of effects of foliar fertilizer application of hydrogen water on leaf lettuce.

Kim, D., Jeong, S., Kim, B., Kim, S., Kim, H., Jeong, S., Yun, G., Kim, K.-Y., & Park, K. (2022). Automated detection of rice Bakanae disease via drone imagery.

Kim, S., Jeong, S., Park, K., Kim, D., Yoo, C.-J., & Shin, J. (2021). Tunnel emergence detection technology based on hybrid image recognition.

Park, K., Hong, Y. K., Kim, G., & Lee, J. (2018). Classification of apple leaf conditions in hyper-spectral images for diagnosis of Marssonina blotch using mRMR and deep neural network.

Liteng Zeng | Elasticity | Research Excellence Award

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Mr. Liteng Zeng | Elasticity | Research Excellence Award

Lecturer at Northwestern Polytechnical University | China

Mr. Liteng Zeng, a dedicated scholar and researcher trained at Northwestern Polytechnical University, has built a strong academic and professional foundation through a life path that began in Hanjing, where his early education at local primary and secondary institutions nurtured both discipline and intellectual curiosity, eventually guiding him toward advanced study in engineering and scientific innovation; throughout his educational progression, he cultivated a passion for aerospace, materials science, and cutting-edge technological development, ultimately completing his doctoral training at Northwestern Polytechnical University under the mentorship of respected faculty who played a central role in shaping his research capabilities and academic rigor; as a committed member of the Communist Party of China, he maintains a strong sense of social responsibility and professional ethics, integrating scientific exploration with broader national and industrial needs; his long-term residence and work in Shanghai have provided him with opportunities to engage in interdisciplinary exchanges, contribute to collaborative research environments, and participate in emerging technological initiatives, while his academic journey reflects continuous growth, adaptability, and perseverance; known for his conscientious work style, strong analytical mindset, and dedication to innovation, he has steadily strengthened his expertise across multiple stages of education and research, supported by mentors such as Li Zucheng, Qi Guowei, Zhang Lichuan, and Hu Yuli; his background in engineering, combined with comprehensive theoretical training and practical research immersion, equips him to contribute meaningfully to the scientific community, pursue advancements that align with national development strategies, and engage in impactful academic or industrial roles where rigorous knowledge, disciplined methodology, and forward-looking vision remain essential to his ongoing professional trajectory.

Profile: Scopus

Featured Publications:

AuthorLastName, A. A., AuthorLastName, B. B., AuthorLastName, C. C., & AuthorLastName, D. D. (2024). Active balancing strategy for AUV power battery pack based on PSO-PID algorithm. Heliyon

Claudio Mirabella | Aerospace Engineering | Research Excellence Award

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Mr. Claudio Mirabella | Aerospace Engineering | Research Excellence Award

PhD Student at Dipartimento di Ingegneria Industriale | Italy

Mr. Claudio Mirabella is a doctoral researcher in Aerospace Engineering at the University of Naples Federico II, where he focuses on pioneering the application of Model-Based Systems Engineering to the digital transformation of aircraft certification processes, with particular emphasis on the full digitalization of EASA Certification Specifications for General Aviation. His work integrates systems engineering, regulatory analysis, and computational modeling to develop operational digital frameworks capable of automating certification artifacts and reducing time-to-compliance for next-generation aircraft, thereby supporting the introduction of innovative propulsion systems including hybrid and electric architectures. Before embarking on his doctoral path, he gained substantial industry experience as an Aircraft Maintenance Engineer at TECNAM Aircraft Manufacturing, contributing to the development, revision, and validation of maintenance manuals, technical illustrations, assembly procedures, and training materials aligned with EASA airworthiness requirements. His academic formation spans a Bachelor’s and Master’s degree in Aerospace Engineering, both completed at the same institution under the supervision of leading scholars in flight mechanics and aircraft systems design. His doctoral training includes specialized coursework in hydrogen-based propulsion, agent-based methodologies, artificial intelligence for gas turbine design, topology optimization, structural health monitoring, game theory, and industrial competitive dynamics, with research contributions to each domain. He has authored multiple scientific works as principal or co-author, addressing digital certification frameworks, MBSE methodologies, STOL aircraft design, lateral-directional performance, and autonomous evaluation tools for conceptual aircraft design. He has served as teaching collaborator in Flight Mechanics and as academic tutor in Industrial Engineering programs, while also maintaining long-standing commitments to voluntary education, STEM mentorship, and private instruction. His broader background includes competitive swimming, multilingual communication skills, and a continued dedication to advancing aerospace safety, sustainability, and regulatory innovation through digital engineering practices.

Profile: Orcid

Featured Publications:

Morra, G., Mirabella, C., Nicolosi, F., & Della Vecchia, P. (in press). Lateral-directional trim for air and ground minimum control speeds evaluation in conceptual design. Aerospace Science and Technology. Advance online publication.

Della Vecchia, P., Cusati, V., & Mirabella, C. (in press). Flight loads evaluation and airworthiness compliance for the V-tail of a medium-altitude long-endurance unmanned platform. Drones. Advance online publication.

Simina Mariana Moroz | Mechanics of Functional and Smart Structures | Research Excellence Award

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Dr .Simina Mariana Moroz | Mechanics of Functional and Smart Structures | Research Excellence Award

PhD Student at Victor Babes University of Medicine and Pharmacy | Romania

Dr .Simina Mariana Moroz is a dedicated cardiologist whose academic and clinical journey began at Colegiul Național “Dragoș Vodă” in Sighetu Marmației, where a strong foundation in mathematics and computer science shaped an analytical and disciplined approach to medical science. She continued her professional development at the “Victor Babeș” University of Medicine and Pharmacy in Timișoara, completing her medical degree in General Medicine and later advancing into doctoral studies while building a respected clinical career in cardiology. Her commitment to cardiovascular medicine is reflected not only in her clinical training but also in her active participation in national and international scientific events, where she consistently presented research focused on transcatheter aortic valve replacement, arterial stiffness, ventricular and valvular function, and cardiometabolic dynamics. Throughout her career, she has delivered multiple poster presentations at prestigious cardiology and hypertension congresses, highlighting topics such as The Impact of Transcatheter Aortic Valve Replacement on the Dynamics of Arterial Hypertension in the Elderly, Gender Disparities and the Impact of Transcatheter Aortic Valve Replacement on Left Ventricular Ejection Fraction in Caucasian Patients, The Influence of Relative Parietal Thickness on Post-Interventional Hemoglobin Levels in Aortic Stenosis After Transcatheter Aortic Valve Replacement, The Role of Estimated Pulse Wave Velocity in Assessing the Impact of TAVR on Arterial Stiffness and Cardiac Function in Aortic Stenosis, and The Impact of TAVR on Valvular and Ventricular Function and Arterial Stiffness in Patients with Aortic Stenosis. She has also authored scientific articles including Crosstalk Between Metabolic Biomarkers and Pulse Wave Analysis in Hypertensive Patients and Clinical Significance of TAPSE/PSAP Ratio in Risk Stratification for Aortic Stenosis Patients Undergoing Transcatheter Aortic Valve Replacement. Beyond medicine, she enjoys reading, painting, tennis, horseback riding, and traveling, maintaining a balanced life enriched by diverse interests and continuous learning.

Profile: Orcid

Featured Publications:

Pescari, D., Mihuta, M. S., Bena, A., & Stoian, D. (2025). Comparative effects of time-restricted eating and the ketogenic diet on QRISK3-assessed cardiovascular risk in individuals with obesity: A longitudinal analysis of metabolic, anthropometric, and lifestyle factors. Nutrients.

Mihuta, C., Socaci, A., Hogea, P., Tudorache, E., Mihuta, M. S., & Oancea, C. (2025). Comparative insights into COVID-19 and tuberculosis: Clinical manifestations, inflammatory markers, and outcomes in pulmonary versus extrapulmonary tuberculosis and SARS-CoV-2 co-infection. Journal of Clinical Medicine.

Pescari, D., Mihuta, M. S., Bena, A., & Stoian, D. (2025). Independent predictors of circulating trimethylamine N-oxide (TMAO) and resistin levels in subjects with obesity: Associations with carotid intima-media thickness and metabolic parameters. Nutrients.

Mihuta, C., Socaci, A., Hogea, P., Tudorache, E., Mihuta, M. S., & Oancea, C. (2024). Colliding challenges part 2: An analysis of SARS-CoV-2 infection in patients with extrapulmonary tuberculosis versus SARS-CoV-2 infection alone. Medicina.

Jietao Xu | Data Science and Deep Learning | Research Excellence Award

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Mr. Jietao Xu | Data Science and Deep Learning | Research Excellence Award

Student at College of Petroleum Engineering | China

Mr. Jietao Xu is an emerging researcher in the fields of spinal surgery outcomes, minimally invasive neurosurgical techniques, and musculoskeletal pathology, currently advancing his academic training in Petroleum and Natural Gas Engineering at China University of Petroleum – Beijing following his foundational undergraduate education in Petroleum Engineering at Chongqing University of Science and Technology. Despite his primary academic trajectory in petroleum engineering, he has significantly contributed to interdisciplinary medical research, particularly neurosurgery and spine-related clinical meta-analyses, demonstrating strong analytical capability, methodological rigor, and collaborative research strength. His scholarly work encompasses a range of influential studies, including Full-endoscopic posterior lumbar interbody fusion via an interlaminar approach versus minimally invasive transforaminal lumbar interbody fusion: a preliminary retrospective study, Incidence of subsidence of seven intervertebral devices in anterior cervical discectomy and fusion: a network meta-analysis, Percutaneous endoscopic lumbar discectomy for lumbar disc herniation with modic changes via a transforaminal approach: a retrospective study, Minimum 2-year efficacy of percutaneous endoscopic lumbar discectomy versus microendoscopic discectomy: a meta-analysis, The LncRNA H19/miR-1-3p/CCL2 axis modulates lipopolysaccharide (LPS) stimulation-induced normal human astrocyte proliferation and activation, and Full-endoscopic lumbar discectomy for lumbar disc herniation with posterior ring apophysis fracture: a retrospective study. Xu’s publication portfolio reflects his ability to engage in high-impact, data-driven medical research that bridges clinical needs and quantitative evaluations, reinforcing his competence in evidence synthesis, outcome assessment, and biomedical data interpretation. With an interdisciplinary background that blends engineering-level problem solving with clinical research exposure, he continues to broaden his scientific profile while maintaining strong collaborative ties across engineering and medical research communities. His consistent contributions position him as a promising young scholar with a unique cross-disciplinary perspective and strong potential for continued research excellence.

Profile: Google Scholar

Featured Publications:

Li, Y., Dai, Y., Wang, B., Li, L., Li, P., Xu, J., Jiang, B., & Lü, G. (2020). Full-endoscopic posterior lumbar interbody fusion via an interlaminar approach versus minimally invasive transforaminal lumbar interbody fusion: A preliminary retrospective study. World Neurosurgery, 144, e475–e482.

Xu, J., He, Y., Li, Y., Lv, G. H., Dai, Y. L., Jiang, B., Zheng, Z., & Wang, B. (2020). Incidence of subsidence of seven intervertebral devices in anterior cervical discectomy and fusion: A network meta-analysis. World Neurosurgery, 141, 479–489.e4.

Xu, J., Li, Y., Wang, B., Guo-Hua, L., Wu, P., Dai, Y., Jiang, B., Zheng, Z., & Xiao, S. (2019). Percutaneous endoscopic lumbar discectomy for lumbar disc herniation with Modic changes via a transforaminal approach: A retrospective study. Pain Physician, 22(6), E601.

Xu, J., Li, Y., Wang, B., Lv, G., Li, L., Dai, Y., Jiang, B., & Zheng, Z. (2020). Minimum 2-year efficacy of percutaneous endoscopic lumbar discectomy versus microendoscopic discectomy: A meta-analysis. World Neurosurgery, 138, 19–26.

Li, P., Li, Y., Dai, Y., Wang, B., Li, L., Jiang, B., Wu, P., & Xu, J. (2020). The LncRNA H19/miR-1-3p/CCL2 axis modulates lipopolysaccharide (LPS) stimulation-induced normal human astrocyte proliferation and activation. Cytokine, 131, 155106.

Oluwaseun Ajayi | Impact Mechanics and Dynamic Material Behavior | Best Researcher Award

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Dr. Oluwaseun Ajayi | Impact Mechanics and Dynamic Material Behavior | Best Researcher Award

Senior Lecturer at Obafemi Awolowo University | Nigeria

Dr. Oluwaseun Ajayi is a multidisciplinary engineer whose career spans mechanical engineering, electrical engineering, mechatronics, embedded systems, and advanced manufacturing, building a reputation for innovative contributions to human–machine interaction, digital twin development, computer numerical control technologies, and robotics-driven automation. His academic foundation was established through successive degrees in technology, mechanical engineering, and advanced research, which shaped his expertise in system dynamics, computational design, and intelligent materials. He serves as a Research Fellow in Electrical Engineering at Tshwane University of Technology, Pretoria, and as a Senior Lecturer in Mechanical Engineering at Obafemi Awolowo University, Ile-Ife, where he leads research in embedded systems, haptics, mechatronics, and CAD-driven automation, while supervising postgraduate researchers across mechanical and electrical engineering. His professional portfolio includes establishing 3D Printing and Mechatronics Laboratories, pioneering curriculum development for mechatronics and aerospace engineering, and extensive teaching in design, mechanics, CAD/CAM, and advanced machine design. He has contributed significantly to industry through consultancy in CAD technologies, additive manufacturing, and engineering design services. His scholarly output includes patents on brake-fluid testing apparatus and CNC manufacturing methods, book chapters on sorting robotics and multifunctional coatings, and numerous journal articles covering 3D printing mechanics, digital twin methodologies, haptic system design, composite materials, structural failure analysis, robotics-based force estimation, adaptive modeling, and intelligent embedded systems. His research supervision includes work on hybrid additive-subtractive manufacturing, digital twin internal controls for haptics, mathematical modeling of haptic platforms, and haptic feedback systems for heavy-industry applications. Through teaching, research, consultancy, laboratory development, and scholarly publications, he has advanced modern engineering education and technological innovation across multiple disciplines.

Profile: Google Scholar

Featured Publications:

Idusuyi, N., Babajide, I., Ajayi, O. K., & Olugasa, T. T. (2014). A computational study on the use of an aluminium metal matrix composite and aramid as alternative brake disc and brake pad material. Journal of Engineering, 2014(1), Article 494697.

Ajayi, O. K., Malomo, B. O., Samuel, P. D., Adeleye, A., & Babalola, S. A. (2021). Failure modeling for titanium alloy used in special purpose connecting rods. Materials Today: Proceedings, 45, 4390–4397.

Adeyi, O., Adeyi, A. J., Oke, E. O., Ajayi, O. K., Oyelami, S., Otolorin, J. A., Areghan, S. E., & Isola, B. F. (2022). Adaptive neuro fuzzy inference system modeling of Synsepalum dulcificum L. drying characteristics and sensitivity analysis of the drying factors. Scientific Reports, 12(1), 13261.

Ajayi, O. K., Malomo, B. O., Adebayo, D., Owolabi, H. A., Omidiji, B. V., & Adeniyi, A. V. (2023). Energy absorption of polyurethane filled Al 6061 honey comb sandwiched structure. Mechanics of Advanced Materials and Structures.

Ige, E. O., Adetunla, A., Awesu, A., & Ajayi, O. K. (2022). Sensitivity analysis of a smart 3D-printed hand prosthetic. Journal of Robotics, 2022(1), Article 9145352.

 

Ting Xie | Mechanics of Functional and Intelligent Materials | Materials Mechanics Industry Impact Award

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Dr. Ting Xie | Mechanics of Functional and Intelligent Materials | Materials Mechanics Industry Impact Award

Research Assistant at Peking Union Medical College Hospital | China

Dr. Xie Ting is a biomedical scientist whose interdisciplinary research spans molecular endocrinology, metabolic regulation, lipidomics, biobanking science, and translational physiology. She earned her doctoral training at the School of Biomedical Sciences of The Chinese University of Hong Kong, following advanced research work at the University of Chinese Academy of Sciences, Institute of Microbiology, and earlier foundational scientific training at The Central South Forestry University of Science and Technology. She has since contributed to the Peking Union Medical College Hospital Clinical Biobank, where she advances high-level clinical research through precision biospecimen science, multi-omics data generation, and mechanism-oriented disease exploration. Her scholarly contributions include extensive work on metabolic signaling and lipid biology, such as in Fibroblast Growth Factor 21 Protects Against Lipotoxicity-Induced Pancreatic β-Cell Dysfunction via Regulation of AMPK Signaling and Lipid Metabolism and Fibroblast Growth Factor 21: A Regulator of Metabolic Disease and Health Span, as well as innovative investigations in vascular pathology highlighted by Plasma Lipidomics Analysis Reveals the Potential Role of Lysophosphatidylcholines in Abdominal Aortic Aneurysm Progression and Formation and The Potential Role of Plasma Fibroblast Growth Factor 21 as a Diagnostic Biomarker for Abdominal Aortic Aneurysm Presence and Development. Her integrative cellular and molecular work extends further through studies such as Glucokinase Inactivation Ameliorates Lipid Accumulation and Exerts Favorable Effects on Lipid Metabolism in Hepatocytes, Integration of Proteomics and Metabolomics Reveals Energy and Metabolic Alterations Induced by Glucokinase Partial Inactivation in Hepatocytes, and The Relationship Between HIF1α and Clock Gene Expression in Patients with Obstructive Sleep Apnea. She has also contributed significantly to biobanking methodology through The Interference of RNA Preservative and Post-Collection Interval on RNA Integrity from Different Mice Tissues. Earlier in her career, she produced impactful enzymology and protein-engineering studies including Site-Saturation Mutagenesis of Central Tyrosine 195 Leading to Diverse Product Specificities of an α-Cyclodextrin Glycosyltransferase, Structural Basis of a Mutant Y195I α-Cyclodextrin Glycosyltransferase with Switched Product Specificity, and Increasing of Product Specificity of γ-Cyclodextrin by Mutating the Active Domain of α-Cyclodextrin Glucanotransferase. Through major national research fundings, invited presentations at global scientific congresses, and multiple academic honors, Dr. Xie Ting continues to advance the molecular understanding of metabolic disorders, vascular disease, endocrine biology, and clinical biobank innovation through publication-driven scientific excellence.

Profile: Scopus | Orcid

Featured Publications:

Genes Xie, T., Zhu, H., Wang, X., Li, F., Wang, A., Zhang, Y., Zhang, S., & Guo, D. (2025). The interference of RNA preservative and post-collection interval on RNA integrity from different mice tissues. Genes.

International Journal of Molecular Sciences Xie, T., Lei, C., Song, W., Wu, X., Wu, J., Li, F., Lv, Y., Chen, Y., Liu, B., & Zheng, Y. (2023). Plasma lipidomics analysis reveals the potential role of lysophosphatidylcholines in abdominal aortic aneurysm progression and formation. International Journal of Molecular Sciences, 24(12), 10253.

Nature and Science of Sleep Xie, T., Guo, D., Luo, J., Guo, Z., Zhang, S., Wang, A., Wang, X., Wang, X., Cao, W., Su, L., & others. (2022). The relationship between HIF1α and clock gene expression in patients with obstructive sleep apnea. Nature and Science of Sleep, 14, 381–392.