Cuifang Wang | Financial Data Analysis | Best Researcher Award

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Ms. Cuifang Wang | Financial Data Analysis | Best Researcher Award

School of Business Administration, Dongbei University of Finance and Economics | China

Author Profile

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🎓 Early Academic Pursuits

Ms. CuiFang Wang began her academic journey with a deep interest in business and finance, which laid the foundation for her doctoral studies. Enrolling at the School of Business Administration, Dongbei University of Finance and Economics, she pursued rigorous training in business theory, economic analysis, and corporate structures. Her early academic pursuits were marked by consistent academic excellence and a passion for understanding the inner workings of firms, particularly in the context of governance and strategy. This formative stage was instrumental in shaping her research orientation and scholarly ambitions.

💼 Professional Endeavors

Although currently a PhD candidate, Ms. Wang has already made meaningful strides in the academic community through her active participation in research collaborations, academic conferences, and peer-reviewed publications. She has worked closely with faculty and research teams on projects examining the intersection of corporate governance and firm performance, enabling her to gain practical insight and professional depth. Her engagement with the academic ecosystem reflects both leadership and intellectual curiosity, positioning her as an emerging scholar in strategic management and governance.

🧠 Contributions and Research Focus

Ms. Wang’s research focuses on corporate governance mechanisms, such as board structures, ownership configurations, and executive compensation, and how these factors influence firm performance and strategic decisions. Her scholarly work bridges the gap between theory and application by offering insights into how governance practices affect organizational effectiveness and market competitiveness. She has published in internationally renowned journals including Applied Economics, International Review of Economics and Finance, and the Asia-Pacific Journal of Accounting & Economics, showcasing her analytical rigor and subject-matter expertise.

🌍 Impact and Influence

Despite being in the early stages of her career, Ms. Wang’s research has already contributed significantly to the ongoing discourse in corporate governance studies, especially in the Asia-Pacific context. Her publications have been recognized by scholars and practitioners alike for addressing practical governance issues within dynamic market environments. Through citations and collaborative work, her influence is beginning to extend beyond national boundaries, positioning her as a promising voice in the global academic community.

📚 Academic Citations

Ms. Wang’s work has garnered growing academic citations, reflecting the relevance and impact of her research topics. Her studies on governance-performance linkages have been referenced in both academic and professional contexts, especially in discussions around improving governance frameworks in emerging economies. As she continues her research, her citation count is expected to rise in step with her academic contributions.

🛠️ Technical Skills

Ms. Wang is proficient in a range of quantitative and analytical tools, which support her empirical research. Her skill set includes econometric modeling, panel data analysis, Stata, R, and SPSS, all of which she uses to test governance theories and evaluate firm performance. She also has experience in conducting meta-analysis, literature reviews, and using qualitative comparative analysis (QCA) techniques.

👩‍🏫 Teaching Experience

In addition to her research, Ms. Wang has contributed to academia through her role as a teaching assistant in courses related to corporate strategy, governance, and business ethics. She brings a learner-focused approach to teaching, combining theoretical concepts with real-world case studies to engage students effectively. Her teaching efforts support the development of future business leaders who understand the critical role of governance in strategic management.

🌟 Legacy and Future Contributions

Looking ahead, Ms. CuiFang Wang aims to deepen her academic contributions by exploring cross-country governance comparisons, sustainability in governance, and the integration of ESG (Environmental, Social, and Governance) factors into performance evaluation frameworks. Her long-term vision includes publishing in top-tier journals, influencing policy-making, and mentoring the next generation of scholars. Her legacy will likely be one of thought leadership, research excellence, and a strong commitment to advancing corporate governance practices worldwide.

📖Publications

Title: Technical Independent Director–CEO Friendliness and Enterprise Dual Innovation: Evidence from China

Authors: Dongshan Ma, Jian Ding, Mingyu Liu, Cuifang Wang
Journal: Applied Economics
Year: 2025
DOI: 10.1080/00036846.2025.2465837

Title: Does the Informal Hierarchy of Independent Directors Have a Corporate Governance Effect? Evidence from China

Authors: Dongshan Ma, Jiayu Zhao, Shengqiang Zhang, Cuifang Wang
Journal: Asia-Pacific Journal of Accounting & Economics
Year: 2023
DOI: 10.1080/16081625.2022.2077778

Title: 独立董事非正式层级影响审计师选择吗 (Translation: Does the Informal Hierarchy of Independent Directors Affect Auditor Selection?)

Author: Cuifang Wang
Journal: 广东财经大学学报 (Journal of Guangdong University of Finance and Economics)
Year: 2020

Yao Di | Genomic Data Analytics | Best Researcher Award

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Dr. Yao Di | Genomic Data Analytics | Best Researcher Award

 Northeast Normal University | China

Profile Verified

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🏅 Suitability Summary

Dr. Yao exemplifies the spirit of the Best Researcher Award through her academic rigor, research productivity, and innovative impact. She has led or participated in 14 research projects, published 7 SCI-indexed journal articles, authored 6 books, and holds 2 patents. Her interdisciplinary and industry collaborations have yielded significant outcomes—such as pioneering enzyme-based pollutant degradation and optimizing bioethanol production efficiency. Her ability to deliver practical solutions in both lab and industrial settings reflects her exceptional suitability for this recognition.

🎓  Education and Experience

Dr. Yao Di holds a Bachelor’s degree in Biology (2005) and a Master’s degree in Biochemistry and Molecular Biology, forming a robust academic base for her scientific endeavors. Since 2008, she has been contributing her expertise at the School of Life Sciences, Northeast Normal University, where she currently serves as a Senior Engineer. Her academic journey culminated in a Ph.D. in Cell Biology (2022), reinforcing her deep understanding of life sciences. With over 15 years of professional experience, Dr. Yao has seamlessly integrated her education with research and institutional service, emerging as a versatile and accomplished scientist.

📈 Professional Development

Dedicated to lifelong learning, Dr. Yao is actively engaged in research, teaching, and collaborative ventures. As a member of both the Society of Biochemistry and Molecular Biology and the Society for Cell Biology, she remains at the forefront of scientific innovation. Her collaborations with institutions like the Chinese Academy of Sciences and Dacheng Industrial Group illustrate her commitment to bridging academic theory with real-world application. Through these alliances, she continues to expand her professional network and advance translational science.

🔬 Research Focus

Dr. Yao’s research is centered on polysaccharides, cell metabolism, and polymer hydrolases. Her pioneering studies have identified powerful immunomodulatory effects of natural compounds. One key discovery is an alkali-extracted neutral heteropolysaccharide from Phellinus nigricans, which activates macrophages in immunosuppressed mice—opening new avenues in immunotherapy. Another notable finding is an acidic heteropolysaccharide from Portulaca oleracea L., which helps alleviate sepsis-induced lung injury by suppressing macrophage pyroptosis. These breakthroughs highlight her significant contributions to both biomedicine and environmental biochemistry.

🏆 Honors and Awards

Dr. Yao Di’s outstanding work has resulted in a citation index of 78, 6 published books, and 2 patents either published or pending. Her research has not only achieved academic acclaim but also delivered real-world impact—with three industry consultancy projects successfully implementing her findings in bioenergy and environmental management. Her ability to translate complex research into scalable solutions underscores her leadership in science. By seeking recognition through the Best Researcher Award, Dr. Yao aims to further amplify the visibility and impact of her work in both academic and industrial domains.

📚 Selected Publication

PKM2 functions as a histidine kinase to phosphorylate PGAM1 and increase glycolysis shunts in cancer
  • May 2024
An alkali-extracted neutral heteropolysaccharide from Phellinus nigricans used as an immunopotentiator in immunosuppressed mice by activating macrophages
  • Mar 2024
Effects of Medium Additives on the Mycelial Growth and Polysaccharide Biosynthesis in Submerged Culture of Bjerkandera fumosa
  • Jan 2024
Irradiation effects on characteristics and ethanol fermentation of maize starch
  • Jun 2023
Biodegradation of polyhydroxybutyrate by Pseudomonas sp. DSDY0501 and purification and characterization of polyhydroxybutyrate depolymerase
  • Oct 2019

Lei Li | Environmental Data Analysis | Best Researcher Award

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Prof. Lei Li | Environmental Data Analysis | Best Researcher Award

Tianjin University | China

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✅ Suitability Summary

Prof. Li’s background seamlessly blends practical industry expertise with academic rigor. His early career at PetroChina provided him with hands-on experience in petroleum exploration, which he has effectively translated into his academic roles. His long-standing commitment to teaching and research in seismic interpretation positions him as a valuable contributor to petroleum geoscience education and innovation. His ability to bridge theoretical knowledge with real-world application makes him especially suited for advancing research in subsurface geology and reservoir prediction.

📘 Education & Experience

Prof. Lei Li received his Bachelor of Science degree in Applied Geophysics from Southwest Petroleum University in 2001. He continued his postgraduate studies at the China University of Petroleum (Beijing), earning a Master’s degree in Geology in 2007, followed by a Ph.D. in Petroleum Geosciences in 2010. Professionally, he began his career as a Research Assistant at the Northwest Branch of the Research Institute of Petroleum Exploration and Development (PetroChina) from 2001 to 2005. In 2010, he joined Xi’an Shiyou University as a Teaching Assistant and has since progressed to the position of Professor in the School of Earth Sciences and Engineering, where he has served since 2019.

📈 Professional Development

Throughout his academic journey, Prof. Lei Li has demonstrated a clear trajectory of growth and contribution. He transitioned from the petroleum industry into academia, bringing practical insights into the classroom and research lab. His focus on teaching seismic interpretation has equipped a new generation of geoscientists with critical skills. His advancement from Teaching Assistant to full Professor reflects his dedication to both teaching excellence and impactful research, as well as his leadership within the university’s Earth Sciences faculty.

🔬 Research Focus

Prof. Li’s research interests lie at the intersection of sedimentology and seismic analysis. His primary focus areas include seismic geomorphology, deep-water sedimentation, and reservoir prediction. Additionally, he has a strong interest in tidal sedimentation systems. His work aims to improve the interpretation of complex subsurface structures and contribute to more accurate hydrocarbon reservoir characterization, with a particular emphasis on deep-water environments—an increasingly significant area in global energy exploration.

🏆 Honors & Awards

No specific honors or awards were listed in the current biography. However, Prof. Li’s promotion to full professorship and his continued presence in leading academic and research roles at Xi’an Shiyou University speak to his professional recognition and contributions within the field of petroleum geosciences.

📚 Selected Publication

Seismic geomorphology and sedimentary architectures of mass transport deposits: Cases from Pearl River Mouth Basin and Niger Delta Basin

Authors: L. Lei, L. Bin, W. Yingmin
Journal: Journal of Central South University (Science and Technology)
Year: 2013

Identification and evolution of mass transport complexes and its significance for oil and gas exploration

Authors: L. Lei, W. Yingmin, Z. Lianmei
Journal: Acta Sedimentologica Sinica
Year: 2010

Deep-water gravity flow depositional elements and depositional systems in passive margin: Case studies in deep-water areas of Niger Delta and Baiyun Sag

Authors: L. Lei, W. Yingmin, X. Qiang
Journal: Pearl River Mouth Basin
Year: 2012

Sedimentary patterns and structural control across toe thrust belts, Niger Delta

Authors: Li Lei, W. Yingmin, Z. Lianmei
Journal: Earth Science (Journal of China University of Geosciences)
Year: 2008

Bankfull discharge as a key control on submarine channel morphology and architecture: Case study from the Rio Muni Basin, West Africa

Authors: L. Li, C. Gong, R.J. Steel
Journal: Marine Geology
Year: 2018

Murad Al-Rajab | Artificial Inteligence | Best Research Article Award

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Dr. Murad Al-Rajab | Artificial Inteligence | Best Research Article Award

Abu Dhabi University | United Arab Emirates

PUBLICATION PROFILE

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📘 INTRODUCTION

DR. MURAD AL-RAJAB is a dedicated academic and technology professional whose expertise spans across computer science, data science, artificial intelligence, and sustainable computing. With over a decade of experience in academia and IT leadership, Dr. Al-Rajab is recognized for his ability to bridge the gap between theoretical knowledge and practical application in digital transformation and emerging technologies.

🎓 EARLY ACADEMIC PURSUITS

Dr. Al-Rajab’s academic journey began with a Bachelor of Science in Computer Science from Aman University of Science and Technology in 2005. He later pursued two Master’s degrees: one in Computer Science from the New York Institute of Technology in 2008 and another in Information Systems Management from HCT in 2014. His academic aspirations culminated in earning a PhD in Computer Science from the University of Huddersfield in 2019, marking the foundation for his future contributions to academic research and teaching.

👨‍🏫 PROFESSIONAL ENDEAVORS

Dr. Al-Rajab currently serves as an Assistant Professor at Abu Dhabi University (ADU) since 2020, having also served as a Part-Time Adjunct Assistant Professor from 2019–2020. His prior roles include a Lecturer at Abu Dhabi School of Management (ADSM) and IT Director at ALHOSN University. These roles reflect a unique blend of academic dedication and administrative expertise, showcasing his leadership in both educational and operational spheres.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Al-Rajab’s research interests include machine learning, data science, AI applications, smart systems, and sustainable technology solutions. His work focuses on applying AI to societal challenges—from energy optimization and disaster management to AR-based education and smart tourism. As an active researcher, he explores interdisciplinary frameworks, often combining data-driven models with real-world applications.

🌍 IMPACT AND INFLUENCE

Through organizing initiatives like Software Engineering Days, Cybersecurity Days, and Blockchain Hackathons (2021–2024), Dr. Al-Rajab has become a catalyst for tech-driven dialogue and student engagement. As Leader of the ADU Computing Club and Coordinator of field trips and social activities, he promotes academic enrichment and community building. His work also includes committee contributions to ICASF 2024, the ADU IMT Steering Committee, and more.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Al-Rajab has published several impactful journal articles and conference papers in recent years. His works include:

  • “Sustainable EnergySense” (2024, Discover Sustainability), addressing energy efficiency through machine learning.

  • “QUALITY POINTPAL” (2024), redefining social networking with AI.

  • A highly innovative study on crescent moon visibility prediction published in both Scientific Reports (2023) and Journal of Big Data (2024).

  • He also contributed to cancer detection, traffic flow forecasting, and gene classification using AI models.
    Notably, his 2024 paper on AI for Real-Time Disaster Management, presented at CITS in Spain, reflects his ongoing commitment to societal impact through research.

🏅 HONORS & AWARDS

Dr. Al-Rajab has received multiple awards for excellence and innovation. In 2024, he was honored with the Best Scientific Research Contribution Award by the University of Wollongong, Dubai. He also received the Best Presentation Award at an international research conference in Canada (2020) and was recognized as Best Presenter at HCT in 2013.

🧑‍💻 CERTIFICATIONS & PROFESSIONAL MEMBERSHIP

A certified IBM Data Science Practitioner Instructor and a Huawei Certified ICT Associate in AI, Dr. Al-Rajab continuously sharpens his skillset through professional certifications in IoT, Enterprise Design Thinking, and Applied Data Science. He is also a proud member of the British Computer Society – The Chartered Institute for IT, reinforcing his engagement in the global tech community.

🧠 PROFESSIONAL DEVELOPMENT

He actively participates in workshops and training sessions including AI in education, reflective STEM strategies, quantitative research design, and leadership programs. These continuous learning efforts demonstrate his passion for staying ahead in both pedagogy and technology.

💡 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Al-Rajab’s legacy is deeply embedded in nurturing innovation, enhancing educational experiences, and fostering sustainable digital transformation. With an eye on the future, his upcoming initiatives and research are expected to further integrate AI for societal good, especially in education, healthcare, and smart living.

📝 FINAL NOTE

Dr. Murad Al-Rajab exemplifies the modern academic—visionary, innovative, and community-driven. His balanced contributions in research, teaching, leadership, and student empowerment make him a key figure in the region’s academic and technological advancement. As technology evolves, so does his mission: to build smarter, more sustainable futures through the power of education and innovation.

 📚 TOP NOTES PUBLICATIONS

Title: Examining applying high performance genetic data feature selection and classification algorithms for colon cancer diagnosis

    • Authors: M. Al-Rajab, J. Lu, Q. Xu

    • Journal: Computer Methods and Programs in Biomedicine

    • Year: 2017

Title: Parking problems in Abu Dhabi, UAE toward an intelligent parking management system “ADIP: Abu Dhabi Intelligent Parking”

    • Authors: S.A. Alkheder, M.M. Al Rajab, K. Alzoubi

    • Journal: Alexandria Engineering Journal

    • Year: 2016

Title: A framework model using multifilter feature selection to enhance colon cancer classification

    • Authors: M. Al-Rajab, J. Lu, Q. Xu

    • Journal: PLOS ONE

    • Year: 2021

Title: Quality Pointpal: AI-enhanced redefinition of social networking for sustainable digital usage and genuine human connections

    • Authors: O.O. Ahmed, S.I.T. Islam, S.I. Hamdan, M. Al-Rajab, I. Alqatawneh, A. Al-Sartawi, et al.

    • Journal: Operational Research in Engineering Sciences: Theory and Applications

    • Year: 2024

Title: AI-Powered Smart Book: Enhancing Arabic Education in Palestine with Augmented Reality

    • Authors: M. Al Rajab, S. Odeh, S. Hazboun, E. Alheeh

    • Journal: International Symposium on Ambient Intelligence

    • Year: 2023

xian Zhang | Geosciences | Best Researcher Award

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Dr. xian Zhang | Geosciences | Best Researcher Award

Hunan University of Finance and Economics | China

 PUBLICATION PROFILE

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INTRODUCTION 🧑‍🏫

Dr. Xian Zhang is a distinguished academic in the field of information technology and management, currently serving as a Lecturer at the School of Information Technology and Management, Hunan University of Finance and Economics since 2023. With a robust educational background and a strong research profile, Dr. Zhang has made significant contributions to the field of electromagnetic data processing and signal identification. His research spans a wide range of topics, particularly focusing on the processing of magnetotelluric data and noise elimination methods.

EARLY ACADEMIC PURSUITS 🎓

Dr. Zhang embarked on his academic journey with a focus on computer science and engineering. He earned his D.D. from Shaoyang University in 2016, followed by an M.D. from Hunan Normal University in 2019. His academic pursuits culminated in a Ph.D. from Central South University in 2022, laying a strong foundation for his future research endeavors. These early years of study instilled in him a deep understanding of data analysis and computational methods, which he later applied to his work on electromagnetic data.

PROFESSIONAL ENDEAVORS 💼

Since 2023, Dr. Zhang has been contributing to the academic community as a Lecturer at the School of Information Technology and Management, Hunan University of Finance and Economics. His professional career has been characterized by a commitment to both teaching and groundbreaking research. In his role, he imparts knowledge to future professionals in the field, shaping the next generation of experts in data analysis and information technology.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Zhang’s research is centered on signal processing, with a particular emphasis on magnetotelluric and electromagnetic data. His work on separating magnetotelluric signals, utilizing advanced computational techniques like composite multiscale dispersion entropy and orthogonal matching pursuit, has garnered recognition within the scientific community. Additionally, his exploration of machine learning techniques, such as grey wolf optimization and detrended fluctuation analysis, has brought innovative approaches to electromagnetic signal identification and noise reduction.

IMPACT AND INFLUENCE 🌍

Dr. Zhang’s research has not only advanced the field of electromagnetic signal processing but also impacted the methods used in geophysics, specifically in noise elimination and feature extraction from complex data sets. His work has influenced both theoretical developments and practical applications in geophysical exploration. Furthermore, his interdisciplinary approach bridges the gap between data science, physics, and engineering, offering insights into improving electromagnetic signal processing technologies.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Zhang’s scholarly contributions are well-documented in numerous peer-reviewed journals. His work has been published in prestigious journals, including Earth Planets and Space, Acta Geophysica, Oil Geophysical Prospecting, Machine Learning: Science and Technology, and Geophysical Prospecting. His notable journal articles cover a wide range of topics, from noise removal techniques to advanced signal processing methods using machine learning algorithms. These publications have significantly contributed to the body of knowledge in the areas of signal processing and geophysical exploration.

HONORS & AWARDS 🏆

Dr. Zhang’s exceptional research efforts have been recognized with various accolades, including the prestigious Hunan Xiaohe Science and Technology Talent Award in 2024. This recognition underscores his outstanding contributions to science and technology, particularly in the realm of geophysical data processing and electromagnetic signal analysis. His work continues to inspire and influence future research in these fields.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

As Dr. Zhang continues to develop his research and academic career, his contributions to signal processing and electromagnetic data analysis are expected to have lasting effects on both academia and industry. His future work is poised to further bridge the gap between theoretical research and practical applications, particularly in environmental monitoring, resource exploration, and technological advancements in data processing. His legacy will be defined by his ability to solve complex scientific problems and inspire innovation in data-driven technologies.

FINAL NOTE 📝

Dr. Xian Zhang’s career reflects a deep commitment to advancing the field of electromagnetic signal processing. His impressive academic background, coupled with his ongoing professional contributions, solidifies his role as a leading figure in his field. With a growing portfolio of research, honors, and impactful publications, Dr. Zhang’s work continues to push the boundaries of what is possible in data analysis and signal processing. His future endeavors are sure to influence both academia and practical applications across various industries.

TOP NOTES PUBLICATIONS 📚

Controlled-source electromagnetic noise attenuation via a deep convolutional neural network and high-quality sounding curve screening mechanism

    • Authors: Yecheng Liu, Diquan Li, Jin Li, Xian Zhang

    • Journal: GEOPHYSICS

    • Year: 2025

Noise Elimination for Wide Field Electromagnetic Data via Improved Dung Beetle Optimized Gated Recurrent Unit

    • Authors: Zhongyuan Liu, Xian Zhang, Diquan Li, Shupeng Liu, Ke Cao

    • Journal: Geosciences

    • Year: 2025

Coordinate Attention-Temporal Convolutional Network for Magnetotelluric Data Processing

    • Authors: Jin Li, Hong Cheng, Jiayu Wang, Xian Zhang, Jingtian Tang

    • Journal: IEEE Transactions on Geoscience and Remote Sensing

    • Year: 2024

Intelligent processing of electromagnetic data using detrended and identification

    • Authors: Xian Zhang, Diquan Li, Bei Liu, Yanfang Hu, Yao Mo

    • Journal: Machine Learning: Science and Technology

    • Year: 2023

Deep structure of the Rongcheng geothermal field, Xiongan New Area: Constraints from resistivity data and boreholes

    • Authors: Yunqi Zhu, Diquan Li, Yanfang Hu, Xian Zhang, Fu Li, Feng Ma, Guiling Wang

    • Journal: Geothermics

    • Year: 2023

 

Mays S. Tareq | Laser-Tissue interaction | Best Researcher Award

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Dr. Mays S. Tareq | Laser-Tissue interaction | Best Researcher Award

University of Technology | Iraq

PUBLICATION PROFILE

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👨‍🎓 INTRODUCTION

Dr. Mays Sameer Tareq is an accomplished academic and researcher in the field of Laser and Optoelectronics Engineering. Born on October 18, 1987, in Baghdad, Iraq, Dr. Tareq has dedicated his career to advancing laser technologies and their applications in biomedical engineering. With a strong academic foundation and a focus on cutting-edge research, his contributions have greatly influenced his field, particularly in laser-induced breakdown spectroscopy (LIBS) and its applications in dental science.

🎓 EARLY ACADEMIC PURSUITS

Dr. Tareq’s academic journey began with a Bachelor’s degree in Laser and Optoelectronics Engineering from the University of Technology in 2009. His thirst for knowledge led him to pursue a Master’s degree in the same field, completed in 2015, where he explored the fabrication of photodetectors using pulsed laser deposition. He continued his academic excellence with a PhD from Al-Nahrain University in 2025, where his dissertation focused on a novel approach for analyzing nanomaterials in human teeth using LIBS technology.

💼 PROFESSIONAL ENDEAVORS

Since 2016, Dr. Tareq has been teaching in the Department of Biomedical Engineering, where he imparts knowledge on laser technology, biomaterials, and bioacoustics. His role as an educator has included developing specialized lectures, practical experiments, and supervising student projects. Dr. Tareq has also participated in numerous conferences, showcasing his expertise in laser applications and advancing educational methodologies within his field.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS


Dr. Tareq’s research is primarily focused on laser technologies and their biomedical applications. His work has significantly contributed to the development of photodetectors and the analysis of dental materials using LIBS. Through innovative studies, he has explored the influence of lasers on dental enamel, the migration of heavy metals from dental fillings, and the use of nanoparticles in enhancing laser-induced breakdown spectroscopy for more accurate material analysis.

🌍 IMPACT AND INFLUENCE

Dr. Tareq’s research has had a profound impact on dental science and materials engineering. His work on laser interactions with dental materials has led to advancements in both laser technology and biomedical diagnostics. By developing novel techniques to analyze the properties of dental samples, Dr. Tareq’s research is helping to improve the safety and effectiveness of dental treatments. His work has also influenced other industries, contributing to the broader scientific community.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Tareq’s research has been widely recognized and published in renowned journals, including Journal of Optics, Lasers in Medical Science, and Journal of Materials Science: Materials in Electronics. Some of his key publications include:

  • “Preparation and characteristics study of CuAlO2/Si heterojunction photodetector by pulsed laser deposition” (2017).

  • “In vitro studies the influence of Nd:YAG laser on dental enamels” (2024).

  • “Nanoparticle Enhanced Laser Induced Breakdown Spectroscopy (NELIBS) Analysis of Human Teeth” (2024).

He has also filed patents for his innovative work on photodetectors and laser treatments in dentistry.

🏅 HONORS & AWARDS

Dr. Tareq’s work has garnered numerous accolades over the years, recognizing his groundbreaking contributions to both academia and practical applications in the fields of laser technology and biomedical engineering. His innovative studies have been celebrated in academic and industry circles, earning him a respected place among experts in his field.

🌱 LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Dr. Tareq’s research will continue to shape the landscape of laser science and biomedical engineering. His commitment to advancing laser applications in healthcare ensures his ongoing influence in the academic and medical communities. As his work progresses, Dr. Tareq will undoubtedly leave a lasting legacy in the fields of biomedical optics, materials science, and nanotechnology.

🔚 FINAL NOTE

Dr. Mays Sameer Tareq’s career exemplifies a deep commitment to advancing science and technology. His research, teaching, and innovative contributions to laser applications in healthcare have had a significant impact on both the scientific community and society. His future endeavors promise to continue driving advancements in laser science and medical engineering, solidifying his place as a leader in his field.

 TOP NOTES PUBLICATIONS 📚

  • Heavy metal migration from dental filling materials to calcified oral tissues: an in vitro analysis using LIBS and ICP-MS techniques

    • Authors: Mays S. Tareq; Tagreed K. Hamad

    • Journal: Odontology

    • Year: 2025

  • Quantitative Analysis Of Gallstones By Utilize LIBS Technique With ICP-MS And Standard Methods: An In Vitro Study

    • Authors: Lara A. Kadhim; Mays S. Tareq

    • Journal: Journal of Optics

    • Year: 2025

  • Nanoparticle Enhanced Laser Induced Breakdown Spectroscopy (NELIBS) Analysis Of Human Teeth By Using ZnO And Al2O3 Nanoparticles

    • Authors: Mays S. Tareq; Tagreed K. Hamad

    • Journal: Journal of Optics

    • Year: 2024

  • Quantitative analysis of human teeth by using LIBS technology with different calibration methods: in vitro study

    • Authors: Mays S. Tareq; Tagreed K. Hamad

    • Journal: Journal of Optics

    • Year: 2024

Wenbin Zhang | Educational Data Analysis | Best Researcher Award

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Prof. Wenbin Zhang | Educational Data Analysis | Best Researcher Award

Sir Run Run Shaw Hospital, Zhejiang University School of Medicine | China

Publication Profile

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Summary 📝

Dr. Wenbin Zhang is a Professor and Chief Physician at Sir Run Run Shaw Hospital, Zhejiang University School of Medicine. With extensive experience in cardiology, he specializes in interventional diagnosis and treatment of complex coronary heart disease, refractory hypertension, and heart failure. His research focuses on hypertension-related myocardial remodeling and the inflammatory mechanisms of atherosclerosis, contributing significantly to the understanding of cardiovascular diseases.

Education 🎓

Dr. Zhang completed his medical education and training at Zhejiang University School of Medicine, where he later became a professor and doctoral supervisor. He continues to shape future medical professionals through his commitment to education and research.

Professional Experience 💼

Dr. Zhang serves as a chief physician and teacher in the cardiology department, focusing on critical illnesses. He is an expert in the management of cardiovascular conditions, including coronary heart disease and heart failure. His professional journey also includes leadership roles in medical education and reforms in clinical practice.

Academic Citations 📚

With nearly 70 journal publications in high-impact medical journals such as SCI and Scopus, Dr. Zhang’s research has made notable contributions to the field of cardiology. His work on myocardial remodeling and atherosclerosis has been widely recognized within the scientific community.

Technical Skills 🛠️

Dr. Zhang is highly skilled in interventional cardiology, including coronary angioplasty and the treatment of refractory hypertension. His expertise also extends to molecular biology techniques, providing critical insights into cardiovascular disease mechanisms.

Teaching Experience 👨‍🏫

As a medical professor, Dr. Zhang is deeply involved in curriculum development and the reform of medical education. He actively integrates innovative teaching methods to improve students’ clinical skills and academic performance, ensuring they are well-prepared for the challenges of modern medicine.

Research Interests 🔬

Dr. Zhang’s primary research interests include the molecular mechanisms of hypertension-related myocardial remodeling and the inflammatory pathways that drive atherosclerosis. His work is paving the way for future therapeutic strategies in cardiovascular disease management.

Top Notes Publications 📚

Variability in Plasma Lipids Between Intensive Statin Therapy and Conventional-Dose Statins Combined with Ezetimibe Therapy in Patients with Coronary Atherosclerosis Disease

    • Authors: Jinhua Jin, Liwen Shan, Manjun Wang, Lu Liu, Tian Xu, Duanbin Li, Zhezhe Chen, Xianglan Liu, Wenbin Zhang, Ya Li

    • Journal: International Heart Journal

    • Year: 2023

Liver enzymes mediate the association between aldehydes co-exposure and hypertriglyceridemia

    • Authors: Duanbin Li, Zhezhe Chen, Yu Shan, Tianli Hu, Xulin Hong, Jun Zhu, Yunhui Zhu, Guosheng Fu, Min Wang, Wenbin Zhang

    • Journal: Ecotoxicology and Environmental Safety

    • Year: 2023

Polydopamine (PDA) coatings with endothelial vascular growth factor (VEGF) immobilization inhibiting neointimal formation post zinc (zn) wire implantation in rat aortas

    • Authors: Jiayin Fu, Qiongjun Zhu, Zhezhe Chen, Jing Zhao, Shaofei Wu, Meng Zhao, Shihui Xu, Dongwu Lai, Guosheng Fu, Wenbin Zhang

    • Journal: Biomaterials Research

    • Year: 2023

Erythrocyte parameters, anemia conditions, and sex differences are associated with the incidence of contrast-associated acute kidney injury after coronary angiography

    • Authors: Xihong Li, Qingqing Chen, Xinrui Yang, Duanbin Li, Changqing Du, Jun Zhang, Wenbin Zhang

    • Journal: Frontiers in Cardiovascular Medicine

    • Year: 2023

Biomimetic and NOS‐Responsive Nanomotor Deeply Delivery a Combination of MSC‐EV and Mitochondrial ROS Scavenger and Promote Heart Repair and Regeneration

    • Authors: Ning Zhang, Mengkang Fan, Yongchao Zhao, Xiaolong Hu, Qiongjun Zhu, Xiaolu Jiao, Qingbo Lv, Duanbin Li, Zheyong Huang, Guosheng Fu, et al.

    • Journal: Advanced Science

    • Year: 2023

Muhammad Ahsan Saleem | Additive Manufacturing | Best Researcher Award

Published on by Research Data Analysis

Mr. Muhammad Ahsan Saleem | Additive Manufacturing | Best Researcher Award

Nanjing University of Science and Technology , China

Professional Profile👨‍🎓

Early Academic Pursuits🎓

Muhammad Ahsan Saleem embarked on his academic journey in Mechatronics Engineering at the University of Engineering and Technology, Taxila, Pakistan, earning his Bachelor of Science degree in 2013. His passion for interdisciplinary studies led him to pursue a Master of Engineering in Mechanical Engineering at Nanjing University of Science and Technology, China, where he further advanced to a Doctor of Engineering in the same field. This strong foundation highlights his unwavering commitment to academic excellence and innovation.

Professional Endeavors 💼

Ahsan’s professional career spans roles in research and industry, blending technical expertise with practical applications. At Nanjing University of Science and Technology, he has been instrumental in project planning, performance metrics development, and leveraging machine learning to enhance experimental research. His tenure as a Mechatronics Engineer at Enginesound Automation Technology in Shanghai demonstrated his capability to design and implement cutting-edge solutions such as flexible bend control devices for textile machines and performance analysis tools for electric motors. Earlier, at Attock Refinery Limited, Pakistan, he contributed to HVAC systems’ compliance and operational efficiency.

Contributions and Research Focus🔬

Ahsan’s research contributions emphasize advancing 3D printing technologies and exploring innovative materials. His work on optimizing inkjet printing processes has led to significant improvements in dimensional precision and edge roughness. Additionally, his investigations into high-viscosity ink jetting behavior and the development of 3D-printed electrical resistors underscore his interdisciplinary approach. Projects like silicon carbide’s influence on selective laser processing and functional electronics printing further cement his role as a pioneer in material science and engineering.

Impact and Influence🌍

Through impactful research and professional achievements, Ahsan has influenced the fields of mechanical engineering and material science. His advancements in experimental design, coupled with data-driven methodologies, have contributed to new standards in precision manufacturing and electronics. His dedication to innovation fosters collaboration, driving significant contributions to engineering and technological progress globally.

Academic Cites and Technical Skills📜

Ahsan boasts a diverse technical skill set, ranging from programming (C++, Python, MATLAB) to simulation tools like SolidWorks and Simulink. His proficiency in machine learning and data analysis is evident in certifications from leading institutions, including Stanford University, IBM, and the University of Michigan. These skills are complemented by his expertise in microcontroller programming and platform integration using Raspberry Pi and Arduino.

Teaching and Mentorship Experience👨‍🏫

Ahsan’s dedication to academia extends beyond research, as evidenced by his volunteering roles. At the School of International Education, NJUST, he mentored freshmen and organized sports events, fostering a supportive environment for students. His involvement with the Environment Protection Society at UET highlights his commitment to community and educational outreach.

Legacy and Future Contributions✨

Ahsan’s ongoing endeavors in computer vision, image processing, and exploratory data analysis align with his vision to harness cutting-edge technologies for real-world impact. His interdisciplinary approach, combining mechanical engineering with data science and material innovation, sets a strong precedent for future contributions in sustainable technologies and precision engineering. He aspires to leave a lasting legacy as a researcher, mentor, and innovator driving advancements across industries.

Top Noted Publication 📖

  • Influence of Silicon Carbide on Direct Powder Bed Selective Laser Process (Sintering/Melting) of Alumina
    • Authors: Rehman, A.U., Saleem, M.A., Liu, T., Pitir, F., Salamci, M.U.
    • Journal: Materials
    • Year: 2022
  • Quantized Event-triggered Feedback Control under Fuzzy System with Time-varying Delay and Actuator Fault
    • Authors: Aslam, M.S., Qaisar, I., Saleem, M.A.
    • Journal: Nonlinear Analysis: Hybrid Systems
    • Year: 2020