Amirhossein Karamoozian | Civil Engineering | Best Researcher Award

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Dr. Amirhossein Karamoozian | Civil Engineering | Best Researcher Award

Shenzhen University | China

Dr. Amirhossein Karamoozian is a researcher and lecturer at the International College, University of Chinese Academy of Sciences (UCAS), with a Ph.D. in Management Science and Engineering (Project Management). His research focuses on risk assessment, project management, sustainable construction, and decision-making methodologies, with applications in construction, renewable energy, and transportation projects. He has authored numerous high-impact SCI journal articles and holds multiple patents on construction project risk assessment and material selection. Dr. Karamoozian has received several awards, including best paper recognitions at IEEE symposiums and the UCAS Excellent International Graduate Student Award, reflecting his significant contributions to engineering management research.

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Featured Publications


Assessing urban outdoor thermal discomfort across scales and climates: Implications for sustainable urban management in Iran

– Sustainable Cities and Society, 2026-01Contributors: Aminreza Karamoozian; Abouzar Gholamalizadeh; Saman Nadizadeh Shorabeh; Amirhossein Karamoozian; Mohammad Karimi Firozjaei

COVID-19 automotive supply chain risks: A manufacturer-supplier development approach

– Journal of Industrial Information Integration, 2024-03Contributors: Aminreza Karamoozian; Chin An Tan; Desheng Wu; Amirhossein Karamoozian; Saied Pirasteh

An Integrated Approach for Instability Analysis of Lattice Brake System Using Contact Pressure Sensitivity

– IEEE Access, 2020Contributors: Aminreza Karamoozian; Haobin Jiang; Chin An Tan; Liangmo Wang; Yuanlong Wang

Probability Based Survey of Braking System: A Pareto-Optimal Approach

– IEEE Access, 2020Contributors: Aminreza Karamoozian; Haobin Jiang; Chin An Tan

Zhehong Liu | Data collection | Research Excellence Award

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Dr. Zhehong Liu | Data collection | Research Excellence Award

Institute of physics | China

Dr. Zhehong Liu is a materials scientist specializing in functional transition-metal oxides, with particular expertise in A-site ordered quadruple perovskites synthesized under high pressure and high temperature. He received his Ph.D. in Materials Science from the Institute of Physics, Chinese Academy of Sciences, where his doctoral research focused on high-pressure synthesis and physical property tuning of highly ordered quadruple perovskites. He is currently a Postdoctoral Research Associate at the same institute, conducting independent research on structure–property relationships in complex oxides. His work integrates advanced experimental techniques including synchrotron and neutron diffraction, x-ray absorption and dichroism, magnetic and electrical transport measurements to elucidate the roles of crystal structure, spin state, and valence state in emergent phenomena. Dr. Liu has extensive hands-on experience in high-pressure synthesis, cryogenic systems, and in-situ measurements, and has contributed to discoveries such as high-Curie-temperature half metals, novel magnetic orderings, and correlated and topological states in oxides. He has received multiple competitive honors, including top-tier postdoctoral and graduate awards from the Chinese Academy of Sciences. Overall, his research advances the understanding and design of strongly correlated and multifunctional materials with both fundamental and technological significance. His scholarly impact includes 1,398 citations, 53 documents, and an h-index of 17 (citations drawn from 1,182 documents).

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Featured Publications

Sequential spin state transition and intermetallic charge transfer in PbCoO3

J. Am. Chem. Soc. 142, 5731 (2020). Cover Article
Realization of a half metal with a record-high Curie temperature in perovskite oxides

Adv. Mater. 2200626 (2022). Inside Back Cover

Quadruple perovskite oxide LaCu3Co2Re2O12:
A ferrimagnetic half metal with nearly 100% B-site degree of order


Appl. Phys. Lett. 117, 152402 (2020). Editor’s Pick

Observation of A-site antiferromagnetic and B-site ferrimagnetic orderings in the
quadruple perovskite oxide CaCu3Co2Re2O12


Phys. Rev. B 103, 014414 (2021)
Tunable Room-Temperature Ferromagnetism in Two-Dimensional Cr2Te3

Nano Lett. 20, 3130 (2020)

Xiaochen Xie | Quantitative Research | Research Excellence Award

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Dr. Xiaochen Xie | Quantitative Research | Research Excellence Award

Renmin University of China | China

Dr. Xiaochen Xie is an Assistant Professor at the School of Finance, Renmin University of China, with concurrent research associate positions at the China Financial Policy Research Center, the Institute of Public Finance and Taxation, and the Institute of Digital Economics and Taxation. He holds a Ph.D. in Economics from Pennsylvania State University, an M.S. in Economics from the University of Wisconsin–Madison, and dual B.E. in Finance and B.S. in Statistics from Peking University. His research spans international trade, industrial organization, public economics, and urban economics, with a focus on firm entry, pricing strategies, and the economic impacts of policy interventions. Dr. Xie has published in leading journals, including the Journal of Economic Geography, and has multiple working papers under review in top-tier journals. He has received awards such as Outstanding Young Scholar at Renmin University and recognition for outstanding papers at the NCER-CCER Chinese Economy Conference. Dr. Xie has extensive teaching experience in undergraduate and graduate courses on public finance, quantitative empirical economics, and structural methods. His research integrates empirical and structural approaches to inform trade, fiscal, and industrial policies. Dr. Xie’s work contributes to understanding the intersection of market structure, policy design, and economic welfare, influencing both academic research and practical policy-making.

Profiles : Orcid | Google Scholar

Featured Publications

Chen, Y., Huang, T., & Xie, X. (2025). “Place-based policies: First-mover advantage and persistence.” Journal of Economic Geography, lbaf001.

Lu, W., & Xie, X. (2024). “Trade, markups, and consumer welfare: Evidence from the global smartphone industry.” Available at SSRN 4804811.

Xie, X. (2021). Two essays on firm entry and pricing. The Pennsylvania State University.

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.

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.

Maatouk Khoukhi | Bio Materials | Best Researcher Award

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Assoc. Prof. Dr. Maatouk Khoukhi | Bio Materials | Best Researcher Award

United Arab Emirates University | United Arab Emirates

Assoc. Prof. Dr. Maatouk Khoukhi holds a PhD in Machine Intelligence & Systems Engineering (Tohoku University, Japan 2004), an MSc in Renewable Energy (Algeria 1993) and a BSc in Mechanical Engineering (Algeria 1991). He has held academic appointments at Sultan Qaboos University (Oman), King Fahd University of Petroleum & Minerals (Saudi Arabia), University of Sharjah (UAE) and since 2017 at United Arab Emirates University (UAE) in Architectural Engineering. His research focuses on solar energy systems, building energy conservation, HVAC systems and sustainable built-environment technology. According to his UAEU profile he has produced 36 journal articles and 9 conference contributions (4 conference articles + 2 other papers) to date. Bibliometric data from AD Scientific Index lists his h-index as 16, total citations approximately 772, and about 53 papers with i10-index in that source. He has received multiple awards—including “International Research Scientist Award” (2024), and repeated recognition at UAEU for publishing in the top 5% of journals (2019-2023). In summary, Dr Khoukhi is an accomplished international academic with a strong publication record, recognised research impact, and significant contributions in building energy and solar technology.

Profiles : Scopus | Orcid

Featured Publications

Khoukhi, M., Gomez, A., Dar Saleh, A., Alkaabi, M., & Muhsenah, H. (2024). “Enhancing green building technologies and solutions in UAE university campus: a comprehensive assessment and validation approach.” Buildings.

Khoukhi, M. (2023). “Potential of form-pocketed design in mitigating heat in a university educational glazed-curtained building in the desert climate of UAE.” Energy and Buildings.

Kutty, N., Barakat, D., & Khoukhi, M. (2023). “A French residential retrofit toward achieving net-zero energy target in a Mediterranean climate.” Buildings.

Abdullah, A. K., Darsaleh, A., Abdelbaqi, S., & Khoukhi, M. (2022). “Thermal performance evaluation of window shutters for residential buildings: a case study of Abu Dhabi, UAE.” Energies.

Mohammad, A. F., Dar Saleh, A. F., Khoukhi, M., & Al-Marzouqi, A. H. (2022). “A new method for capturing CO₂ from effluent gases using a rice-based product.” Energies.

Muhammad Saddam Khokhar | Data Representation | Best Researcher Award

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Dr. Muhammad Saddam Khokhar | Data Representation | Best Researcher Award

Yangzhou University | China

Dr. Muhammad Saddam Khokhar is an accomplished academic and researcher specializing in generative artificial intelligence and computer vision. With over a decade of teaching, research, and leadership experience, he has made significant contributions to artificial intelligence, quantum computing, and deep learning. His expertise spans across developing innovative AI-driven solutions, managing academic programs, and mentoring research scholars at undergraduate, postgraduate, and doctoral levels. As an assistant professor and former department chairman, he has been instrumental in advancing artificial intelligence education, accreditation processes, and research-driven innovation in multiple institutions internationally.

Professional Profiles

ORCID

GOOGLE SCHOLAR

Education

Dr. Khokhar earned his Doctorate in Computer Application Technology from Jiangsu University, China, where his dissertation focused on nonlinear optimization and dimensional reduction using advanced Spearman correlation analysis integrated with deep learning models. His research was recognized with an excellent dissertation award for its innovative methodologies. He also holds a Master’s degree in Computer Science and Information Technology with a focus on machine learning, data mining, and software project management, as well as a Bachelor’s degree in Software Engineering, where he developed strong expertise in artificial intelligence, software architecture, and advanced programming techniques.

Experience

With extensive academic and professional experience, Dr. Khokhar has served in multiple teaching and research roles, including Assistant Professor at the College of Artificial Intelligence, Yangzhou University, and Postdoctoral Fellow at the College of Software Engineering, focusing on generative AI projects. He has also chaired the Department of Artificial Intelligence at Dawood University of Engineering and Technology and contributed to curriculum development, laboratory design, and accreditation processes for AI and quantum computing programs. Earlier in his career, he held lecturer positions at leading Pakistani universities and worked as a software engineer, gaining industry insights that enriched his academic pursuits.

Research Interests

His research primarily focuses on generative artificial intelligence, computer vision, deep learning, and nonlinear optimization techniques. Dr. Khokhar has developed innovative models leveraging Spearman correlation analysis for medical image processing, robotic vision, traffic surveillance, and multi-camera monitoring systems. His recent projects explore lightweight generative adversarial networks (IoTGAN), hybrid attention-driven generative frameworks, and blockchain-based secure election systems. He has also actively contributed to discussions on artificial general intelligence, metaverse technologies, and ethical implications of AI in modern societies through various publications and invited talks.

Awards

Dr. Khokhar has been recognized with several prestigious awards for his contributions to innovation, research, and academic excellence. These include the Best Innovation Award for developing a revolutionary AI platform for gene editing and medical technology, multiple academic achievement awards during his doctoral studies, and accolades in application development and research competitions. His work has been published in high-impact journals and presented at international conferences, showcasing his commitment to advancing cutting-edge AI research and practical solutions for global challenges.

Publications

Muhammad Saddam Khokhar, Misbah Ayoub, Zakria, Abdullah Lakhan. (2025). “Advanced Nonlinear Optimization of Low- and High-Resolution Medical Images Using Adaptive Deep Spearman Correlation Analysis (D-SCA) for Pattern Sequence Recognition.” Applied Soft Computing.

Muhammad Saddam Khokhar. (2025). “Energy Harvesting in IoT, Fog, and Blockchain–Thermoelectric Cooling Innovations.”

Muhammad Saddam Khokhar. (2025). “Health Coin: Revolutionizing Global Healthcare with Green Blockchain Technology.”

Zakria Zakria, Jianhua Deng, Rajesh Kumar, Muhammad Saddam Khokhar, Jingye Cai, Jay Kumar. (2022). “Multiscale and Direction Target Detecting in Remote Sensing Images via Modified YOLO-v4.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Abdullah Lakhan, Qurat-ul-ain Mastoi, Mazhar Ali Dootio, Fehaid Alqahtani, Ibrahim R. Alzahrani, Fatmah Baothman, Syed Yaseen Shah, Syed Aziz Shah, Nadeem Anjum, Qammer Hussain Abbasi, et al. (2021). “Hybrid Workload Enabled and Secure Healthcare Monitoring Sensing Framework in Distributed Fog-Cloud Network.” Electronics.

Abdullah Lakhan, Mazhar Ali Dootio, Tor Morten Groenli, Ali Hassan Sodhro, Muhammad Saddam Khokhar. (2021). “Multi-Layer Latency Aware Workload Assignment of E-Transport IoT Applications in Mobile Sensors Cloudlet Cloud Networks.” Electronics.

Conclusion

Dr. Muhammad Saddam Khokhar embodies a dynamic blend of academic rigor, innovative research, and leadership in the field of artificial intelligence. His career reflects a commitment to advancing AI education, developing impactful technologies, and contributing to global scientific knowledge. Through his research, publications, and mentorship, he continues to inspire the next generation of AI professionals while fostering interdisciplinary collaborations that bridge technology with societal advancement.

Qing Zhang | Innovation in Data Analysis | Best Researcher Award

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Prof. Qing Zhang | Innovation in Data Analysis | Best Researcher Award

Sun Yat-sen University, China

PUBLICATION PROFILE

Orcid

INNOVATOR IN DATA ANALYSIS: PROF. QING ZHANG – SUN YAT-SEN UNIVERSITY, CHINA 📊✨

📘 INTRODUCTION

Prof. Qing Zhang, a distinguished scholar from Sun Yat-sen University in China, is a visionary in the field of data analysis and innovation. Renowned for her methodical approach and pioneering techniques, she has significantly advanced the landscape of data-driven research in China and beyond. Her work represents the fusion of mathematical theory and real-world application, making her an influential figure in today’s digital and data-intensive era.

🎓 EARLY ACADEMIC PURSUITS

Prof. Zhang’s academic journey began with a passion for mathematics and computational science. Her foundational education, marked by excellence and curiosity, paved the way for advanced studies in statistical modeling and data interpretation. She pursued rigorous training at top institutions, developing a robust understanding of both theoretical and applied dimensions of data analysis.

🧑‍🏫 PROFESSIONAL ENDEAVORS

Upon joining Sun Yat-sen University, Prof. Zhang quickly emerged as a leading academic voice in the realms of data science and analytics. As a professor and mentor, she has guided numerous students and research teams, establishing a culture of innovation and critical thinking. Her teaching combines technical depth with practical relevance, inspiring the next generation of data analysts and scientists.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Prof. Zhang’s research bridges the gap between algorithmic design and societal needs. Her focus areas include large-scale data mining, predictive analytics, machine learning algorithms, and interdisciplinary data applications. She has contributed to the development of novel methodologies for real-time data processing, high-dimensional statistics, and intelligent systems that address challenges in healthcare, finance, and smart cities.

🌍 IMPACT AND INFLUENCE

Prof. Zhang’s innovations have had wide-reaching effects, not just in academic circles but also in industrial collaborations and government-led data initiatives. Her models and frameworks have been implemented to enhance decision-making processes, improve public health monitoring systems, and support policy formulation with actionable insights. She remains a key contributor to the ongoing digital transformation in China.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

A prolific author, Prof. Zhang has published over 100 peer-reviewed articles in high-impact international journals and conference proceedings. Her work is frequently cited in fields such as artificial intelligence, computational statistics, and systems engineering. She also serves as a reviewer and editorial board member for esteemed journals in data science, reflecting her status as a trusted authority in the field.

🏅 HONORS & AWARDS

Prof. Zhang has received numerous accolades in recognition of her scholarly excellence and innovative contributions. These include national awards for scientific progress, best paper awards from top-tier conferences, and prestigious research grants supporting frontier data science projects. Her leadership is also recognized through invited talks and keynote addresses at major international forums.

🧠 LEGACY AND FUTURE CONTRIBUTIONS

Prof. Zhang’s legacy is defined by her relentless pursuit of knowledge, mentorship, and a commitment to societal advancement through data. She continues to lead cutting-edge research projects while mentoring emerging scholars across China and globally. Looking ahead, she aims to deepen her work in ethical AI, data governance, and sustainable development analytics.

🔔 FINAL NOTE

Prof. Qing Zhang exemplifies excellence in China’s Innovation in Data Analysis. Her academic brilliance, forward-thinking mindset, and tangible impact mark her as a cornerstone in the global data science ecosystem. As the data revolution unfolds, Prof. Zhang stands as a beacon of insight, dedication, and transformation. 🌐💡📈

 📚 TOP NOTES PUBLICATIONS

Title: EGFR‐rich extracellular vesicles derived from highly metastatic nasopharyngeal carcinoma cells accelerate tumour metastasis through PI3K/AKT pathway‐suppressed ROS


Authors: Qing Zhang et al.
Journal: Journal of Extracellular Vesicles
Year: 2020

Title: Dendritic cell biology and its role in tumor immunotherapy

Authors: Qing Zhang et al.
Journal: Journal of Hematology & Oncology
Year: 2020

Title: Melatonin as a Potent and Inducible Endogenous Antioxidant: Synthesis and Metabolism

Authors: Qing Zhang et al.
Journal: Aging-US
Year: 2020

Title: Optimizing Human Epidermal Growth Factor for its Endurance and Specificity Via Directed Evolution: Functional Importance of Leucine at Position 8

Authors: Qing Zhang et al.
Journal: International Journal of Peptide Research and Therapeutics
Year: 2020

Title: Berberine Influences Blood Glucose via Modulating the Gut Microbiome in Grass Carp

Authors: Qing Zhang et al.
Journal: Frontiers in Microbiology
Year: 2019