university of zanjan, Iran

Author Profile

🌱 Early Academic Pursuits

Dr. Fatemeh Rajaei’s journey into the environmental sciences began with a deep-rooted interest in nature, ecology, and sustainability. Her academic foundation was laid at Tarbiat Modares University (TMU) in Tehran, one of Iran’s premier research institutions. She first earned her Master of Science degree in Environmental Sciences in 2006. Her thesis, titled “Ecological Risk Assessment of Organochlorine Pesticides (OCPs) and Polychlorinated Biphenyls (PCBs) Residual in Bird”, reflected a strong commitment to understanding the complex and often hidden threats posed by persistent organic pollutants in natural ecosystems. This early research showcased her emerging expertise in ecotoxicology and risk assessment, which would go on to form a cornerstone of her academic and professional work.

Dr. Rajaei continued her studies at TMU, completing her Ph.D. in Environmental Sciences in 2011. Her doctoral research, “Simulation of Management Scenarios of Land Use and Landscape Metrics Changes for Surface Water Quality Improvement in Tajan Watershed,” marked a significant leap into integrated environmental modeling. Through advanced simulation techniques and spatial analysis, she examined how land use and landscape changes influence water quality, laying the groundwork for her lifelong pursuit of ecosystem protection and sustainable resource management.

🧪 Professional Endeavors

After completing her Ph.D., Dr. Rajaei joined the University of Zanjan, where she currently serves as an Assistant Professor in the Department of Environmental Science, Faculty of Science. In this role, she has become a pivotal figure in advancing environmental education and research in Iran. Her teaching and mentorship span several core areas, including ecotoxicology, watershed-scale water resource modeling, geographic information systems (GIS), remote sensing (RS), and environmental impact assessment (EIA).

Her research work is housed within simulation laboratories and field studies, bridging computational modeling with real-world ecological phenomena. She contributes substantially to both undergraduate and graduate training, equipping the next generation of environmental scientists with the tools and frameworks necessary to confront complex environmental challenges.

🔬 Contributions and Research Focus

Dr. Rajaei’s research encompasses a diverse yet interconnected set of environmental themes. She is particularly known for her work in ecotoxicology, focusing on the effects of contaminants such as pesticides and industrial pollutants on ecosystems. Her expertise in watershed-scale water resource modeling enables the simulation of land use scenarios and hydrological impacts, providing essential insight for policy planning and conservation.

Another vital aspect of her work lies in climate change adaptation and landscape ecology. She has been involved in modeling land use changes, optimizing spatial patterns for ecological sustainability, and assessing ecosystem services to ensure environmental balance in development projects. Her application of multi-criteria decision support systems (MCE-DSS) has supported environmentally sound decision-making in complex planning contexts.

Furthermore, she actively utilizes GIS and remote sensing tools to analyze and visualize environmental data, empowering her research with precision and scalability. Her contributions to Environmental Impact Assessments (EIA) of various plans, policies, and infrastructure projects underscore her commitment to sustainable development.

🏆 Accolades and Recognition

Throughout her career, Dr. Rajaei has earned respect and admiration within academic and governmental circles for her pioneering work. While her awards may not always be publicly listed, her impact is reflected in her appointments, student mentorship, and collaborative research roles. Her faculty profile at the University of Zanjan showcases her continued involvement in interdisciplinary projects that address pressing environmental issues in Iran and beyond.

Her leadership in environmental science education has not gone unnoticed, and she frequently contributes to scholarly discussions, seminars, and national forums focused on water management, biodiversity, and sustainable land use.

🌍 Impact and Influence

Dr. Fatemeh Rajaei’s influence extends beyond academia. Her applied research supports local and regional environmental policy-making, particularly concerning water resource protection, land development, and ecosystem health. Her modeling work informs decisions related to land suitability and environmental sustainability, especially in rural and semi-arid regions that are vulnerable to the dual threats of climate change and land degradation.

Through her academic contributions, Dr. Rajaei inspires students, professionals, and community leaders to approach environmental problems with scientific rigor and holistic thinking. Her interdisciplinary skill set makes her a vital voice in Iran’s environmental planning and education ecosystem.

🌟 Legacy and Future Contributions

Looking forward, Dr. Rajaei is poised to leave a lasting legacy in the field of environmental science. Her expertise in simulation modeling, landscape optimization, and decision-support systems offers scalable solutions to global sustainability challenges. As climate change accelerates and land resources become increasingly contested, her work in modeling and evaluating ecosystem services will be crucial to shaping adaptive, forward-looking policies.

She is also expected to continue mentoring future environmental leaders, shaping academic discourse, and contributing to international collaborations that bridge science, policy, and sustainability. Her legacy will be marked by her dedication to scientific excellence, ecological stewardship, and a deep commitment to improving the quality of life through environmental responsibility.

📝Notable Publications

**Trace elements in barnacle, egg contents, and egg shells of the critically endangered hawksbill turtle (Eretmochelys imbricata) from the Persian Gulf, Iran**

Author(s): [Author names are not specified in your message; please provide them if known]
Journal: Environmental Research
Year: 2025

Prof. Yonglin Chen| Innovative Leadership | Best Research Article Award

Posted on 17/05/202517/05/2025 by Leadership and Management

Prof. Yonglin Chen| Innovative Leadership | Best Research Article Award

Anhui Jianzhu University, China

Author Profile

Scopus

🌱 Early Academic Pursuits

Chen Yonglin’s academic journey began with a Bachelor of Engineering in Mechanical Design, Manufacturing, and Automation from Shenyang Ligong University (2011–2015). His foundational studies in mechanical engineering equipped him with a robust understanding of design principles and industrial automation. He further pursued a Master’s degree in Mechanical Engineering from Inner Mongolia University of Technology (2015–2018), where he was recognized as an Outstanding Student Cadre, highlighting his leadership potential.

🌐 Professional Endeavors

Chen Yonglin embarked on his professional journey as a Junior Researcher at the Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (2018–2020). During this period, he contributed to combustion performance detection projects in collaboration with China Tobacco, where he developed algorithms for image segmentation and key target detection in complex environments. His expertise in computer vision and algorithm design laid the foundation for his transition to a research-focused career.

In 2023, Chen Yonglin joined Anhui University as a Teaching and Research Faculty in the School of Electronics and Information Engineering. Here, he engages in teaching Python and artificial intelligence while conducting cutting-edge research in these fields.

🔬 Contributions and Research Focus

Chen’s research is primarily centered on artificial intelligence, medical imaging, and disease prediction. His notable contributions include a contrastive learning framework for Alzheimer’s disease classification using brain 18F-FDG PET (published in IEEE Journal of Biomedical and Health Informatics, JCR Q1, IF:7.7) and a multi-feature fusion model for Alzheimer’s prediction using EEG signals (Frontiers in Neuroscience, JCR Q2, IF:4.3). His ongoing work on multi-feature fusion learning for Alzheimer’s prediction using PET images is under review at IEEE Transactions on Medical Imaging (JCR Q1, IF:10.6).

🏆 Accolades and Recognition

Chen’s excellence has been recognized through several prestigious awards, including:

🥈 1st Runner-up in the Huawei Cloud PRCV Alzheimer’s Disease Classification Challenge (2021, National Level).
🥉 2nd and 3rd Prizes in the China Graduate Electronics Design Competition (North China Division, 2017 and 2018).
🎖️ Award from iFLYTEK Co., Ltd. (2024).

🌟 Impact and Influence

Beyond his research, Chen has served as a reviewer for high-impact journals such as Computers in Biology and Medicine, Physics in Medicine and Biology, and Scientific Reports. His role as an organizer and judge for the Disease Prediction Challenge (2020–Present) demonstrates his commitment to advancing medical AI research. The challenge, in partnership with iFLYTEK, has drawn over 2,000 teams (10,000+ participants) from institutions such as USTC, UESTC, and JDAI.

🚀 Legacy and Future Contributions

As Chen Yonglin continues his academic and research journey, his work in artificial intelligence and medical imaging is expected to make significant contributions to early disease detection and diagnosis. With his proven expertise and leadership in medical AI, he is poised to further influence the field, driving innovations that can enhance healthcare outcomes globally.”)}

📝Notable Publications

An annotated heterogeneous ultrasound database

Authors: Yuezhe Yang, Yonglin Chen, Xingbo Dong, Zhe Jin, Yong Dai

Journal: Scientific Data

Year: 2025

Prof. Dr. Xiaofeng Dai | Authentic Leadership | Best Researcher Award

Posted on 17/03/2025 by Leadership and Management

Prof. Dr. Xiaofeng Dai | Authentic Leadership | Best Researcher Award

Xi’an Jiaotong University Medical College First Affiliated Hospital: The First Affiliated Hospital of Xi’an Jiaotong University, China

Author Profile

Scopus

Early Academic Pursuits 🎓

Dai Xiaofeng’s academic journey exemplifies a commitment to interdisciplinary research and innovation. His early studies took him to Tampere University of Technology, Finland, where he pursued a master’s degree in bioinformatics, and the Chinese Academy of Agricultural Sciences, where he earned a master’s degree in molecular biology. These foundational studies provided him with a solid background in computational and biological sciences, setting the stage for his later achievements. He further advanced his expertise by obtaining a Ph.D. in computational systems biology from Tampere University of Technology, focusing on genome-wide association studies (GWAS) and molecular mechanisms. Not content with a singular academic trajectory, he pursued a second Ph.D. in econometrics from Aalto University, Finland, where he applied computational biological methods to economic modeling. His doctoral education in genetics at the University of Helsinki added yet another layer to his multidisciplinary expertise.

Professional Endeavors and Research Focus 🔬

Following his extensive academic training, Dai Xiaofeng embarked on a research career that took him to the Finnish Center for Molecular Medicine and Helsinki Central Hospital, where he conducted postdoctoral research in GWAS and anti-cancer molecular mechanisms. These experiences allowed him to refine his expertise in genetic research and translational medicine. Upon his return to China, he established a pioneering research group at Xi’an Jiaotong University’s First Affiliated Hospital, focusing on the medical applications of Cold Atmospheric Pressure Plasma (CAP). His work in this domain has led to significant advancements in precision and translational medicine. He has investigated the multimodal anti-cancer molecular mechanisms of CAP and proposed a CAP redox balance model. His research also extends to the development of multi-dimensional anti-cancer tools, including the establishment of the first CAP database both domestically and internationally. He has played a crucial role in developing high-throughput, minimally invasive, and portable CAP medical devices, ensuring that these technologies can be effectively translated from research to real-world medical applications. His efforts to overcome technological barriers in CAP active preservation have further cemented his reputation as a leader in the field.

Contributions and Publications 📚

Dai Xiaofeng’s contributions to scientific literature are substantial. He has authored 104 SCI-indexed papers as the first and/or corresponding author, with his work appearing in top-tier journals such as Signal Transduction and Targeted Therapy, Redox Biology, Progress in Polymer Science, Biotechnology Advances, Advanced Science, Free Radical Biology and Medicine, Computational Biology and Medicine, Trends in Biotechnology, and Trends in Genetics. His research, spanning over 110 internationally published articles, has amassed a total impact factor of 746, highlighting the significance of his findings in both medical and engineering disciplines.

Accolades and Recognition 🏆

Dai Xiaofeng’s innovative research has earned him numerous accolades. His groundbreaking work in CAP translational medicine has been recognized through prestigious research grants and awards, both in China and internationally. His expertise has led to invitations to speak at global conferences on plasma medicine, molecular biology, and biomedical engineering. In addition to his academic honors, his collaborations with leading medical institutions and engineering firms have further reinforced the importance of his research. His contributions to national healthcare policies, particularly through his work on CAP-based therapeutic applications, demonstrate his influence beyond academia.

Impact and Influence 🌟

Dai Xiaofeng’s interdisciplinary research has had a profound impact on multiple fields. His work in CAP-based cancer treatment has introduced non-invasive therapeutic modalities, offering new hope to patients. His contributions to medical device innovation have led to the development of cutting-edge plasma-based tools, which are poised to revolutionize the treatment landscape. His emphasis on translational medicine ensures that groundbreaking research is not confined to laboratories but reaches the clinical setting, where it can benefit real patients. Beyond his own research, he has dedicated himself to mentoring young scientists, fostering a new generation of researchers capable of bridging multiple scientific disciplines.

Legacy and Future Contributions 🌐

Dai Xiaofeng’s legacy is one of innovation, interdisciplinary collaboration, and a relentless pursuit of scientific advancement. Looking ahead, he aims to expand CAP-based therapeutics into broader clinical applications, ensuring that these technologies become a staple in modern medical treatment. His future work will focus on the integration of artificial intelligence into CAP devices, optimizing their therapeutic potential. Strengthening collaborations between academia, industry, and healthcare providers remains a priority, as does advocating for policy changes that support the integration of CAP technology into mainstream medical practice. Through his pioneering research, Dai Xiaofeng continues to shape the future of biomedical science, leaving an indelible mark on the fields of medicine, engineering, and computational biology.

📝Notable Publications

Spermidine antagonizes the anti-cancer effect of cold atmospheric plasma and induces transit G0/G1 cell cycle arrest of triple negative breast cancers
Authors: L. Shen, X. Lv, Y. Li, X. Dai
Journal: Free Radical Biology and Medicine
Year: 2025
Cold atmospheric plasma potentiates ferroptosis via EGFR(Y1068)-mediated dual axes on GPX4 among triple negative breast cancer cells
Authors: X. Dai, Z. Xu, X. Lv, M. Xi, T. Li
Journal: International Journal of Biological Sciences
Year: 2025
Cold atmospheric plasma restores skewed macrophage polarization in triple negative breast cancers via enhancing KAT6A acetylation
Authors: K. Zhu, Q. Lv, X. Lu, Y. Wang, X. Dai
Journal: Free Radical Biology and Medicine
Year: 2025
Metal-organic frameworks: potential synergies with cold atmospheric plasmas for cancer control
Authors: X. Dai, Y. Yang
Journal: Journal of Materials Chemistry B
Year: 2024
Magnetic nanoparticles and possible synergies with cold atmospheric plasma for cancer treatment
Authors: X. Dai, Y. Dai, Y. Zheng, Y. Lv
Journal: RSC Advances
Year: 2024

Yongzhi Wang-Innovative Leadership-Best Researcher Award – 2646

Posted on 20/04/202420/04/2024 by Leadership and Management

Dr. Yongzhi Wang-Innovative Leadership-Best Researcher Award

Texas A&M University-Corpus Christi-United States

Author Profile

Google Scholars

Early Academic Pursuits

Yongzhi Wang's academic journey reflects a deep-rooted passion for computer science and a relentless pursuit of knowledge. Beginning with a Bachelor of Engineering in Computer Science from Xidian University, China, he laid the groundwork for a stellar academic career. His Master's degree, also from Xidian University, further honed his expertise, setting the stage for his doctoral studies at Florida International University (FIU) in the United States.

Professional Endeavors

Yongzhi Wang's professional journey is marked by significant roles in academia and industry. His tenure as a Research Assistant and Teaching Assistant at FIU, coupled with his role as a Staff Software Engineer at IBM in China, provided him with a comprehensive understanding of both theoretical concepts and practical applications in computer science. Transitioning into academia, he served as an Assistant Professor at Xidian University in China before joining Park University in the United States, where he ascended to the position of Associate Professor.

Contributions and Research Focus

Yongzhi Wang's contributions to the field of computer science are multifaceted, spanning research, teaching, and program development. His research focus revolves around cybersecurity, cloud computing, and data integrity, as evidenced by his numerous publications in prestigious journals and conferences. His expertise in constructing secure computing frameworks in cloud environments has garnered recognition, including awards such as the Trending Article in IEEE Transactions on Computers and the Best Paper Award at the International Conference on Networking and Network Applications.

Accolades and Recognition

Yongzhi Wang's contributions have been widely recognized, with accolades such as the Distinguished Faculty Scholar Award at Park University and the Dissertation Year Fellowship at FIU. His media coverage and presence in prestigious conferences reflect the impact of his research on the broader academic and industry communities.

Impact and Influence on Innovative Leadership

Yongzhi Wang's work has had a tangible impact on the field of cybersecurity and cloud computing, influencing best practices and frameworks for ensuring data integrity and security in distributed computing environments. His research grants and collaborations with institutions both in the US and China underscore his global influence and collaborative spirit in advancing computer science.

Yongzhi's leadership extends beyond academia into industry collaborations and grant initiatives, showcasing his strategic vision and proactive approach to driving change and making a meaningful impact. His leadership style fosters a culture of curiosity, experimentation, and continuous learning, empowering individuals and teams to explore new avenues and contribute meaningfully to the ever-evolving landscape of computer science and technology. In essence, Yongzhi Wang's innovative leadership is not just about achieving success in the present but laying the groundwork for a future where innovation is at the forefront of progress and transformation.

Legacy and Future Contributions

Yongzhi Wang's legacy lies in his commitment to excellence in research, education, and innovation. His ongoing contributions to academia through teaching advanced courses and developing academic programs in cybersecurity pave the way for future generations of computer scientists. His vision for a secure and robust computing environment continues to drive his research endeavors, promising further breakthroughs and advancements in the field.

Innovative leadership is not just about implementing new ideas but fostering a culture of creativity, collaboration, and continuous improvement. Yongzhi Wang exemplifies innovative leadership through his pioneering research in cybersecurity and cloud computing. His ability to conceptualize and develop secure computing frameworks in cloud environments has not only pushed the boundaries of knowledge but also translated into tangible solutions that address real-world challenges. As an educator, Yongzhi's innovative leadership shines through his development of academic programs in cybersecurity and his dynamic teaching approach, which inspires students to think critically and explore cutting-edge technologies.

Citations

Citations 573 409
h-index 11 10
i10-index 14 12