Youngjoo Kwon | Design of Experiments (DOE) | Research Excellence Award

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Prof. Youngjoo Kwon | Design of Experiments (DOE) | Research Excellence Award

Ewha Womans University | South Korea

Dr. Youngjoo Kwon is a highly accomplished professor in the College of Pharmacy and Graduate School of Pharmaceutical Sciences at Ewha Womans University, where she has held influential leadership roles including Director of the Ewha Drug Development Research Core Center, Chair of the Graduate School, and Director of a major convergence education program. After completing her Ph.D. in Analytical Chemistry at the University of Houston and postdoctoral training at Baylor College of Medicine, she established a research laboratory that integrates advanced analytical instrumentation such as HPLC, GC-MS, LC-MS/MS, and NMR with computational modeling and diverse biochemical, molecular, and cellular biology platforms. Her interdisciplinary research spans metabolite profiling of endogenous and xenobiotic compounds, development of isozyme-selective enzyme inhibitors, and elucidation of the non-canonical cytosolic functions of the transcription factor ELF3/ESX, particularly its interaction with MED23 in driving metastasis and drug resistance in various cancers. Additionally, her laboratory develops and evaluates small-molecule modulators against challenging disease targets related to cancer, fibrosis, and neurodegeneration. Over her prolific scientific career, Dr. Kwon has published more than 175 peer-reviewed documents, accumulated over 5,053 citations, and achieved an h-index of 35, underscoring both the breadth and lasting impact of her contributions to pharmaceutical sciences and biomedical research. Her work has appeared in leading journals and has resulted in patents and successful licensing initiatives, demonstrating strong translational value. Dr. Kwon’s achievements have earned her numerous honors from major scientific societies, including awards from the Korean Society of Applied Pharmacology, the Pharmaceutical Society of Korea, and a ministerial award from the Ministry of Trade, Industry and Energy. She is also deeply engaged in national regulatory and scientific policy activities, serving on advisory committees for the Ministry of Food and Drug Safety, the Korea Drug Development Fund, and several national research and technology evaluation boards. In addition, she contributes to the global scientific community through editorial roles in multiple international journals. Her research philosophy-rooted in mechanistic understanding, analytical innovation, and therapeutic development-continues to drive advancements in areas such as KRAS-mutant colorectal cancer, hepatic fibrosis, and metastatic progression, solidifying her standing as a leading scientist shaping next-generation drug discovery and disease-targeted interventions.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Khurshid Hussain | Artificial Intelligence in Statistics | Research Excellence Award

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Mr. Khurshid Hussain | Artificial Intelligence in Statistics | Research Excellence Award

Kiost | South Korea

Mr. Khurshid Hussain is a dynamic researcher whose work spans advanced automotive engineering, semiconductor design, integrated sensing and communications, and AI-driven signal processing, establishing him as a multidisciplinary contributor across next-generation wireless, cybersecurity, and intelligent vehicular systems. He holds a Master’s degree in Advanced Automotive Engineering from Sun Moon University, South Korea, where he specialized in high-performance millimeter-wave circuit design with emphasis on 60 GHz digital variable-gain amplifiers, beamforming architectures, low-power attenuators, and chip-level ISAC systems for secure and intelligent communication. His research extends into geomatics and remote sensing, focusing on multimodal mapping using optical, SAR, and LiDAR streams, change detection, 3D reconstruction, and uncertainty-aware geospatial pipelines, alongside self-supervised and weak-supervised learning approaches for large-scale spatial data modeling. He is the inventor of a patented transistor-array-based variable attenuator and has authored an expanding collection of peer-reviewed publications in leading journals such as Electronics, IEEE Access, Applied Sciences, and IEEE Transactions, addressing topics ranging from radar–communication co-design and ultrasonic 3D beamforming sensors to predictive maintenance of aerospace components, OTFS-based V2X ISAC architectures, and AI-enhanced signal intelligence. His scholarly profile includes 9 documents, 77 citations, and an h-index of 4, reflecting his growing influence in mmWave IC design, wireless sensing, and AI-integrated communication. Khurshid has delivered technical presentations at major international conferences covering maritime IT convergence, high-frequency amplifier design, battery analytics, advanced beamforming, and power-efficient RF front-end systems. His expertise spans Cadence, HFSS, Python, MATLAB, OrCAD, cybersecurity tools, and vector network analyzers, reinforced by experience in transceiver integration, AI-chip convergence, intrusion detection systems, battery research, and embedded engineering. Earlier, he completed his B.Sc. in Electrical Engineering with a focus on IoT-based renewable-energy automation, where he developed sensor-driven, cloud-connected, and energy-efficient systems. Fluent in English and active in multicultural environments, Khurshid is known for his creativity, leadership, communication skills, and passion for innovation, continually advancing secure, intelligent, and energy-efficient technologies for the automotive, wireless, and sensing industries.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Hussain, K., & Yoo, J. (2025). Low-latency marine-based OTFS echo parameter estimation enabled by AI. Sensors, 25(23), Article 7104. DOI: 10.3390/s25237104

Hussain, K., Ali, E. M., Hussain, W., Raza, A., & Elkamchouchi, D. H. (2025). Robust OTFS-ISAC for vehicular-to-base station end-to-end sensing and communication. Electronics, 14(21), Article 4340. DOI: 10.3390/electronics14214340

Hussain, K., Jeon, W., Lee, Y., Song, I., & Oh, I. (2025). CMOS-compatible ultrasonic 3D beamforming sensor system for automotive applications. Applied Sciences, 15(16), Article 9201. DOI: 10.3390/app15169201

Hussain, K., & Oh, I. (2024). Joint radar, communication, and integration of beamforming technology. Electronics, 13(8), Article 1531. DOI: 10.3390/electronics13081531

Hussain, K., & Oh, I. (2024). Review of joint radar, communication, and integration of beam-forming technology. Preprint. DOI: 10.20944/preprints202404.0208.v1

Michael Pitton | Descriptive and Inferential Statistics | Best Researcher Award

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Prof. Dr. Michael Pitton | Descriptive and Inferential Statistics | Best Researcher Award

Medical University of Mainz | Germany

Professor Dr. Michael Pitton is a distinguished German physician-scientist and expert in diagnostic and interventional radiology. A graduate of the Johannes Gutenberg University Mainz, he completed his medical studies and advanced clinical training in internal medicine, cardiology, radiology, and neuroradiology at leading German university hospitals, including the University Medical Center Mainz and the Deutsches Herzzentrum Berlin. His academic achievements include a habilitation on functional and morphological aspects of endovascular aneurysm therapy, followed by his appointment as university lecturer and senior consultant in interventional radiology. Professor Pitton has held successive leadership positions and currently serves as the Acting Director of the Department of Diagnostic and Interventional Radiology and Head of the Section of Interventional Radiology at the University Medical Center Mainz. He also holds European Board Certification in Interventional Radiology (EBIR) and the European Certification for Endovascular Specialists (CIRSE) and is a certified DEGIR instructor across all modules. Combining clinical excellence with managerial insight, he earned a Master of Health Business Administration, reflecting his engagement in healthcare management and innovation. Professor Pitton has an extensive scientific record, with approximately 127 publications, an h-index of around 33, and more than 6,771 citations, underscoring his influence in vascular and interventional radiology. His research contributions have advanced the understanding and treatment of aneurysms, transjugular intrahepatic portosystemic shunt (TIPS) interventions, and image-guided oncologic therapies. Recognized with numerous national and international awards, his work bridges academic medicine, translational research, and health leadership. Professor Pitton exemplifies excellence in clinical radiology, academic scholarship, and interdisciplinary collaboration, contributing significantly to the development of interventional radiology in Europe.

Profiles: Scopus | Orcid

Featured Publications

Graafen, D., Bart, W., Halfmann, M. C., Müller, L., Hobohm, L., Yang, Y., Neufang, A., Espinola-Klein, C., Pitton, M. B., Kloeckner, R., Varga-Szemes, A., & Emrich, T. (2022). In vitro and in vivo optimized reconstruction for low-keV virtual monoenergetic photon-counting detector CT angiography of lower legs.

Gairing, S. J., Kuchen, R., Müller, L., Cankaya, A., Weerts, J., Kapucu, A., Sachse, S., Zimpel, C., Stoehr, F., Pitton, M. B., Mittler, J., Straub, B. K., Marquardt, J. U., Schattenberg, J. M., Labenz, C., Kloeckner, R., Weinmann, A., Galle, P. R., Wörns, M. A., & Foerster, F. (2022.). 13C-Methacetin breath test predicts survival in patients with hepatocellular carcinoma undergoing transarterial chemoembolization.

Müller, L., Hahn, F., Mähringer-Kunz, A., Stoehr, F., Gairing, S. J., Foerster, F., Weinmann, A., Galle, P. R., Mittler, J., Pinto Dos Santos, D., Pitton, M. B., Düber, C., Fehrenbach, U., Auer, T. A., Gebauer, B., & Kloeckner, R. (2022). Prevalence and clinical significance of clinically evident portal hypertension in patients with hepatocellular carcinoma undergoing transarterial chemoembolization.

Kostiantyn Kotenko | Operations Research and Statistical Optimization | Best Researcher Award

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Prof. Kostiantyn Kotenko | Operations Research and Statistical Optimization | Best Researcher Award

S.P.Timoshenko Institute of Mechanics | Ukraine

Dr. Kostyantin Kotenko is an Professor in the Department of Theoretical Mechanics at the Kyiv National University of Construction and Architecture (KNUCA), Ukraine, specialising in building structures and civil engineering systems. He holds the degree of Candidate of Technical Sciences (equivalent to PhD) and has developed extensive expertise in the dynamics of layered, or sandwich, shell structures with inhomogeneous fillers. A graduate of KNUCA, Dr. Kotenko’s academic background is rooted in the theory and design of complex structural systems, and his research focuses on the dynamic response and stability of multi-layered shells subjected to transient, impact, and nonstationary loads. Over his career, he has co-authored numerous influential papers in international journals, exploring dynamic responses of domes, cylindrical and conical shells with inhomogeneous elastic cores. His work has earned recognition for its analytical depth and contribution to advancing the field of structural dynamics. According to his Scopus profile, Dr. Kotenko has authored 10 scientific publications, received approximately 16 citations, and holds an h-index of 1, reflecting his active engagement and growing impact in the global research community. At KNUCA, he teaches theoretical mechanics and structural dynamics, supervises postgraduate research, and contributes to academic development through innovative research on layered shell mechanics. His continuing investigations into the stress–strain behaviour and stability of multi-layered systems have practical applications in modern civil and aerospace engineering. Dr. Kotenko’s scholarly contributions, combined with his dedication to education and applied mechanics, establish him as a prominent specialist in the field of dynamic analysis of layered and composite structural shells.

Featured Publications

Rasool Taban | Statistical Modeling and Simulation | Best Researcher Award

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Dr. Rasool Taban | Statistical Modeling and Simulation | Best Researcher Award

University of Lisbon | Portugal

Dr. Rasool Taban, Ph.D, is a distinguished Data Scientist currently affiliated with Technical University Institute – University of Lisbon, where he continues to advance the frontiers of Artificial Intelligence and Data Science. His academic journey began in Computer Engineering and evolved into a profound focus on Artificial Intelligence during his M.Sc. studies at the University of Tehran, where he graduated with honors in Artificial Intelligence and Robotics. His early research centered on developing an automated screening system designed to assist in diagnosing Autism Spectrum Disorder in children, demonstrating his ability to merge technology with meaningful social impact. Dr. Taban recently earned his Industrial Ph.D. at Institute – University of Lisbon, funded by the prestigious Marie Curie BIGMATH project, where his research specialized in addressing one of the most persistent challenges in statistical learning-imbalanced data. He successfully developed three novel balancing techniques, each tailored to optimize performance across different variable classes, making significant contributions to data reliability and analytical accuracy in machine learning models. With two published journal papers indexed in Scopus and SCI, Dr. Taban’s scholarly work reflects both academic rigor and applied innovation. He has also participated in multiple research and industry projects, collaborating with institutions such as the SDG Group, CIF/N26, Evenco International, and CTAD–Tehran Autism Center. His involvement as part of the editorial team for the International Conference on Robotics and Mechatronics (ICRoM) further underscores his leadership in advancing interdisciplinary research. Dr. Taban’s primary research interests include imbalanced data, statistical learning, data science, and financial data modeling. His contributions have not only expanded methodological knowledge in statistical computing but have also bridged the gap between theoretical frameworks and real-world data-driven applications, reflecting his commitment to excellence in both academia and industry.

Profiles:  Google Scholar | Linked In

Featured Publications

Taban, R., Nunes, C., & Oliveira, M. R. (2023). RM-SMOTE: A new robust balancing technique.

Taban, R., Nunes, C., & Oliveira, M. R. (2025). Mixed-robROSE: A novel balancing technique tailored for mixed-type datasets.

Bozorgnia, F., Arakelyan, A., & Taban, R. (2023). Graph-based semi-supervised learning for classification of imbalanced data. Submitted to Conference ENUMATH.

Shahri, M. A., & Taban, R. (2021). ML revolution in NLP: A review of machine learning techniques in natural language processing. Journal of Applied Intelligent Systems & Information Sciences (JAISIS), 2(1), 2.

Taban, R., Parsa, A., & Moradi, H. Tip-toe walking detection using CPG parameters from skeleton data gathered by Kinect. In International Conference on Ubiquitous Computing and Ambient Intelligence (pp. 9).

Ding Xiangyu | Statistical Applications in Engineering | Best Researcher Award

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Prof. Ding Xiangyu | Statistical Applications in Engineering | Best Researcher Award

Nanchang Hangkong University | China

Prof. Ding Xiangyu is a distinguished scholar and the Dean of the School of Power and Energy at Nanchang University of Aeronautics, where he has established himself as a leading expert in the field of aeroengine technology and engineering. With an academic career marked by innovation, precision, and dedication, Professor Ding has devoted decades to advancing research on surface treatment and sealing structures for aeroengines, contributing significantly to the reliability, performance, and longevity of modern propulsion systems. His research has been instrumental in addressing critical challenges in high-temperature sealing, material fatigue, and efficiency optimization within the aerospace industry. Professor Ding has successfully led and participated in numerous high-impact research projects supported by prestigious funding bodies such as the Jiangxi Provincial Natural Science Foundation, the National Natural Science Foundation of China, the AVIC Independent Innovation Fund, and several defense-related horizontal projects that bridge academic theory with industrial application. His leadership and expertise have positioned him as a pivotal figure in fostering collaboration between academia, government, and the aerospace sector, driving forward China’s capabilities in aeronautical power engineering. As the chief editor of the authoritative textbook Principles of Aeroengines, Professor Ding has also made substantial contributions to the academic community by shaping the next generation of aerospace engineers and researchers. His textbook serves as a foundational reference for students and professionals alike, reflecting his deep understanding of engine thermodynamics, aerodynamics, and mechanical design. Beyond his academic and research achievements, he is widely recognized for his visionary leadership in developing the School of Power and Energy into a center of excellence for innovation and applied research. Under his guidance, the school has enhanced its focus on interdisciplinary education, experimental research, and international collaboration, aligning closely with global trends in sustainable and intelligent propulsion technologies. Professor Ding’s academic influence, technical expertise, and leadership continue to inspire advancements in the field of aeroengine engineering, contributing meaningfully to China’s aerospace progress and reinforcing his reputation as one of the foremost authorities in the field. His lifelong commitment to research excellence and educational leadership underscores his invaluable role in shaping both the technological and academic landscape of aerospace power and energy systems.

Profiles:  Orcid

Featured Publications

Wang, Y., Ding, X., Yu, S., Wang, S., Wu, Z., Yuan, Y., & Wang, C. (2025). Study on the effect of laser impact strengthening on the service performance of ZL101A aluminum alloy. Journal of Materials Engineering and Performance.

Gong, Z., Zhang, T., Chen, Y., Lu, J., Ding, X., Zhang, S., Lan, M., Shen, Y., & Wang, S. (2024). Effect of laser shock peening on stress corrosion cracking of TC4/2A14 dissimilar metal friction stir welding joints. Journal of Materials Research and Technology.

Ding, X., Zhang, J., Yu, S., Jiang, Z., Zhong, J., Ma, S., Wang, S., Li, H., & Wang, C. (2024). The effect of laser shock peening on the rotating bending fatigue resistance of S51740 stainless steel. Journal of Materials Science.

Ding, X., Li, H., Jiang, Z., Zhang, J., Ma, S., Zhong, J., Wang, S., & Wang, C. (2023). Prediction of surface residual stresses after laser shock processing on TC4 titanium alloy using different neural network agent models. Coatings.

Ding, X., Ma, S., Zhang, J., Jiang, Z., Li, H., Wang, S., Wang, C., & Zhong, J. (2023). Numerical simulation and process study on laser shock peening of 1Cr18Ni9Ti material. Crystals.

Palidan Muhetaer | Statistical Computing and Programming | Best Researcher Award

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Assoc Prof. Dr. Palidan Muhetaer | Statistical Computing and Programming | Best Researcher Award

Xinjiang University of Finance & Economics | China

Profiles: Scopus 

Featured Publications

Fan, Y., Qian, Y., Gong, W., Chu, Z., Qin, Y., & Muhetaer, P. (2024). Multi-level interactive fusion network based on adversarial learning for fusion classification of hyperspectral and LiDAR data

Deepak Kumar | Design of Experiments (DOE) | Best Researcher Award

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Mr. Deepak Kumar | Design of Experiments (DOE) | Best Researcher Award

Indian Institute of Technology | India

Mr. Deepak Kumar is a dedicated engineer-researcher driving frontier work in fluid mechanics, multiphase flows, atomization, and energy sustainability. He completed his B.Tech in Aeronautical Engineering from Gautam Buddha Technical University, followed by an M.Tech in Aerospace Engineering from the Indian Institute of Technology Kanpur and is nearing completion of his Ph.D. in Aerospace Engineering at IIT Kanpur, where he has built a strong academic and experimental foundation. His industry-relevant research spans primary breakup of jets in cross-flow and swirling air, twin-fluid injectors for fluidized bed catalytic cracking risers sponsored by HPCL, throttleable rocket injectors developed for ISRO, and urea-deposition and thermal-decomposition studies for SCR after-treatment systems sponsored by Cummins. Before entering academia, he served as Senior Project Associate and Project Engineer at IIT Kanpur and is currently a faculty member at VIT University, Bhopal. He is proficient in advanced experimental diagnostics such as LDV/PDPA, PIV, high-speed imaging, 3D hot-wire anemometry, and sensor-based DAQ systems, and is skilled in software tools like LabView, TecPlot 360, ANSYS Workbench, and ICEM-CFD, along with programming expertise in C++, MATLAB, and Python. His research output includes multiple peer-reviewed journal papers and numerous international conference presentations, recognized with a Best Paper Award for his work on twin-fluid injectors for modern FCC systems. He has also mentored students as a tutor and teaching assistant in fluid mechanics and rate processing on both IIT Kanpur and NPTEL platforms. According to available bibliometric sources, his h-index stands at approximately 1, with 4 total citations and 17 published documents, highlighting his growing impact in the fields of alternative fuels, atomization, and flow diagnostics. Dr. Kumar continues to pursue innovation aimed at addressing global energy-sustainability challenges while inspiring the next generation of engineers and researchers.

Profiles: Scopus |  Orcid

Featured Publications

Kumar, D., & Kushari, A.. Spray dynamic in twin-fluid atomizer with tangentially air intake. Journal of Fluid Mechanics, 897, 112–125.

Kumar, D., Sikroria, T., & Kushari, A. Droplet dynamics of liquid jet in swirling crossflow air at elevated pressure environment. Journal of Engineering for Gas Turbines and Power.

Kumar, D., & Kushari, A. Spray dynamic in twin-fluid atomizer with tangentially air intake. Chemical Engineering & Technology.

Kumar, D., Sikroria, T., & Kushari, A. Experimental study on liquid jet trajectory in cross flow of swirling air at elevated pressure condition. Journal of Engineering for Gas Turbines and Power.

Kumar, D., Kushari, A., Kumar, P., & Mishra, H. Droplet size distribution in twin fluid nozzle for modern FCC riser. Journal of Fluid Flow, Heat and Mass Transfer.

Aladji Abatchoua Madi Madi Ibram | Multivariate Statistical Analysis | Best Researcher Award

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Dr. Aladji Abatchoua Madi Madi Ibram | Multivariate Statistical Analysis | Best Researcher Award

University of Ebolowa | Cameroon

Dr. Aladji Abatchoua Madi Madi Ibram is a distinguished academic and researcher currently serving as the Head of the Department of Biological Sciences Applied to Agriculture at the University of Ebolowa, Cameroon. He holds a Ph.D. in Genetics and Plant Breeding, with a specialized focus on genetic variability, plant improvement, and sustainable agricultural development. As a lecturer, he teaches a wide range of subjects including Mendelian and Morganian genetics, quantitative traits genetics, and seed production. His research primarily emphasizes improving crop yield and nutritional quality in economically important plants, thereby contributing to both food security and human health. Dr. Aladji Abatchoua’s scientific contributions have been recognized across several reputed platforms such as Springer, BMC, Nature Portfolio, Scientific American, Palgrave Macmillan, and Adis. He has published over 14 research papers in internationally indexed journals, showcasing his dedication to advancing plant genetics and breeding. His collaborative research with the University of Ngaoundéré and the University of Yaoundé 1 has further enhanced the understanding of genotype–environment interactions, particularly in crops like sesame and peanut, to identify stable and high-yielding varieties suitable for diverse agro-ecological zones. Beyond his research endeavors, he actively contributes to the academic community as a reviewer for several international journals, including the Journal of Plant Sciences, International Journal of Genetics and Genomics, and Journal of Plant Studies, ensuring the maintenance of high-quality peer-reviewed publications. His commitment to scientific excellence has been acknowledged through multiple certificates of excellence in peer reviewing from reputable international journals such as BP International and the Journal of Experimental Agriculture International. Through his academic leadership, innovative research, and dedication to agricultural advancement, Dr. Aladji Abatchoua Madi Madi Ibram continues to play a pivotal role in fostering agricultural innovation and scientific integrity in Cameroon and beyond.

Profiles:  Orcid

Featured Publications

Aladji Abatchoua Madi Madi Ibram. (2025). Genetic analysis of common bean (Phaseolus vulgaris L.) for root traits, yield components and seed yield. Journal of Applied Genetics.

Guo Tian | Machine Learning and Statistics | Best Researcher Award

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Assoc Prof. Dr. Guo Tian | Machine Learning and Statistics | Best Researcher Award

Tsinghua University | China

Assoc Prof. Dr. Guo Tian is an accomplished young chemical engineer whose research lies at the frontier of sustainable catalysis and CO₂/CO conversion. He earned his Bachelor’s degree in Chemical Engineering under Prof. Xuezhi Duan at the East China University of Science and Technology and pursued his doctoral studies in Chemical Engineering at Tsinghua University under the guidance of Prof. Fei Wei. Following his doctoral training, he joined Southwest Jiaotong University as an Associate Professor and Principal Investigator. At only twenty-five years of age, Guo has led pioneering work on high-pressure thermo-catalytic systems, including the design of a reactor capable of stable operation at up to 60 bar integrated with surface-enhanced infrared absorption spectroscopy (SEIRAS) for in-situ monitoring of reaction intermediates. His studies have revealed critical mechanistic pathways in CO/CO₂ conversion using bifunctional catalysts, identifying oxygenate intermediates as key to improving the traditional methanol-to-hydrocarbons (MTH) mechanism. Drawing inspiration from biological systems, he has advanced the concept of bio-inspired multifunctional catalysts and introduced the innovative idea of “catalytic shunt” strategies to enhance selectivity and efficiency. Combining experimental research with density-functional theory (DFT) and micromodel simulations, his work bridges molecular-level understanding with reactor-scale engineering. Dr. Tian has authored numerous influential publications in high-impact journals such as Nature Sustainability, Nature Communications, ACS Catalysis, and the Journal of the American Chemical Society. Notable among these are “Efficient syngas conversion via catalytic shunt” (Nature Sustainability), and “Upgrading CO₂ to sustainable aromatics via perovskite-mediated tandem catalysis” (Nature Communications). According to his Scopus profile, he has authored 14 documents, accumulated around 297 citations, and holds an h-index of 9, reflecting a strong and growing impact in the field. His expertise includes thermochemical measurement and data analysis, catalytic materials design, reactor and reaction-system development, in-situ spectroscopy (SEM, XRD, XPS, XAS), and DFT-based theoretical modeling. Integrating theory, advanced characterization, and engineering innovation, Guo Tian’s vision focuses on transforming CO₂ and CO into high-value sustainable fuels such as aviation fuel components, contributing to global carbon-neutral energy goals. Through his scientific rigor, leadership, and creativity, he has rapidly emerged as a rising star in heterogeneous catalysis and sustainable chemical engineering.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

M. Zhao, Q. Wu, X. Chen, H. Xiong, G. Tian, L. Yan, F. Xiao, & F. Wei. (2025). Entropy-governed zeolite intergrowth. Journal of the American Chemical Society.

Z. Wang, X. Liu, G. Tian, Z. Wang, L. Li, F. Lu, Y. Yu, Z. Li, F. Wei, & C. Zhang. (2025). Research advances in coal-based syngas to aromatics technology. Clean Energy, 9(5), 136–152.

J. He, G. Tian, D. Liao, Z. Li, Y. Cui, F. Wei, C. Zeng, & C. Zhang. (2025). Mechanistic insights into methanol conversion and methanol-mediated tandem catalysis toward hydrocarbons. Journal of Energy Chemistry.

H. Xiong, Y. C. Wang, X. Liang, M. Zhao, G. Tian, G. Wang, L. Gu, & X. Chen. (2025). In situ quantitative imaging of nonuniformly distributed molecules in zeolites. Journal of the American Chemical Society, 147(32), 28965–28972.

Z. Li, J. Chen, G. Xu, Z. Tang, X. Liang, G. Tian, F. Lu, Y. Yu, Y. Wen, & J. Yang. (2025). Constructing three-dimensional covalent organic framework with aea topology and flattened spherical cages. Chemistry of Materials, 37(5), 1942–1948.