Dr. Xiao-Na Pang | Innovative Leadership | Best Researcher Award

Dr. Xiao-Na Pang | Innovative Leadership | Best Researcher Award

Beijing University of Agriculture. China

Profile

Scopus

🌱 Early Academic Pursuits

Xiao-Na Pang embarked on her academic journey at China Agricultural University, one of the most prestigious institutions in agricultural sciences. Her undergraduate studies (2001–2005) laid a strong foundation in the principles of agricultural and food sciences. Demonstrating an exceptional aptitude for research and critical thinking, she pursued a Master’s degree from the same university (2005–2007), focusing on specialized areas of food microbiology and fermentation processes. Her thirst for deeper knowledge and innovative solutions in agricultural science led her to complete her Doctoral degree (2014–2018), where she honed her expertise in the complex interactions of microbiota and their impact on food quality and safety.

👩‍🔬 Professional Endeavors

Since July 2018, Xiao-Na Pang has been a dedicated faculty member at the Beijing University of Agriculture, where she combines her passion for teaching and research. Her professional role involves mentoring young scholars, leading research initiatives, and contributing to the advancement of agricultural science. She is instrumental in fostering a culture of academic excellence and innovation, encouraging interdisciplinary collaboration, and ensuring her students and peers are equipped with the tools to address global challenges in food and agricultural sciences.

🧪 Contributions and Research Focus

Xiao-Na Pang’s research delves into the intricate relationship between microorganisms and the fermentation processes of traditional Chinese foods and beverages, including light-flavor Baijiu and sour bamboo shoots. Her work has provided groundbreaking insights into:

  • The metabolic characteristics of lactic acid bacteria and their interaction with yeast during fermentation.
  • The role of indigenous microbiota in shaping the volatile flavor profiles of traditional Chinese beverages.
  • The influence of environmental microbiota on the flavor and quality of food products during spontaneous fermentation.

Her publications in esteemed journals, such as Food Microbiology, Scientific Reports, and Fermentation, reflect her commitment to advancing the understanding of food microbiology and safety. By bridging traditional fermentation techniques with modern scientific methodologies, she has contributed significantly to preserving cultural heritage while improving product safety and quality.

🏆 Accolades and Recognition

Xiao-Na Pang has gained widespread recognition for her scholarly contributions and innovative research. Her articles, including a comprehensive review of spirit drink safety standards and her exploration of microbial succession in Baijiu production, have been cited by researchers worldwide. Her chapter in Science and Engineering of Chinese Liquor (Baijiu) further underscores her authority in this niche field.

Her commitment to excellence has earned her accolades from her academic peers and institutions, solidifying her reputation as a thought leader in food fermentation and microbiology.

🌍 Impact and Influence

Beyond academia, Xiao-Na Pang’s research has had tangible impacts on the food and beverage industry. Her findings have contributed to:

  • Improving food safety standards and regulations.
  • Enhancing the quality of traditional fermented foods and beverages, preserving their cultural and economic value.
  • Offering sustainable solutions for optimizing fermentation processes, aligning with global goals for environmentally responsible food production.

Her role as an educator also extends her influence, as she mentors the next generation of agricultural scientists and inspires them to innovate responsibly.

🌟 Legacy and Future Contributions

Looking ahead, Xiao-Na Pang aims to expand her research scope to include emerging technologies such as metagenomics and bioinformatics, enabling a deeper understanding of microbial ecosystems. She envisions creating a global platform for collaborative research in food science, uniting experts from different cultural and scientific backgrounds to address pressing challenges in sustainable food production and safety.

Her legacy is one of dedication, innovation, and impact. As a researcher, educator, and mentor, Xiao-Na Pang continues to inspire and pave the way for groundbreaking advancements in agricultural science and food microbiology.

💡 Conclusion

With her blend of academic rigor, innovative research, and commitment to mentorship, Xiao-Na Pang is a trailblazer in the field of food and agricultural sciences. Her work not only honors the traditions of fermentation but also sets the stage for future innovations, ensuring the sustainability and safety of global food systems. Her contributions will undoubtedly leave an indelible mark on both academia and industry.

📝Notable Publications

Microbial diversity during wine fermentation in Beijing region and its influence on wine flavor

Authors: Wu, Z.-Q., Jiao, M.-L., Li, D.-M., Pang, X.-N., Fan, X.-M.

Journal: LWT

Year: 2025

Analysis of microbial diversity and screening of native excellent yeasts in Huailai vineyard of Hebei province

Authors: Yang, M., Li, D., Pang, X., Duan, X., Fan, X.

Journal: China Brewing

Year: 2024

Correlation between Microorganisms and Volatile Compounds during Spontaneous Fermentation of Sour Bamboo Shoots

Authors: Zhang, X., Wang, Q., Xie, Y., Pang, X., Vriesekoop, F.

Journal: Fermentation

Year: 2024

Plantaricin BM-1 decreases viability of SW480 human colorectal cancer cells by inducing caspase-dependent apoptosis

Authors: Wang, H., Jin, J., Pang, X., Zhang, H., Xie, Y.

Journal: Frontiers in Microbiology

Year: 2023

 

Dr. Chen LIANG | Innovative Leadership | Best Researcher Award

Dr. Chen LIANG | Innovative Leadership | Best Researcher Award

PANZHIHUA University, CHINA

Profile 

Scopus

Early Academic Pursuits 🎓

Chen Liang’s academic journey began with her pursuit of a Master’s degree in Fintech and Risk Control. With a keen interest in regional economy, she quickly established herself as a diligent researcher in the field. Her studies have largely revolved around understanding the dynamics of economic regions in China, including critical areas like the Yangtze River Delta, Pearl River Delta, and the Tianjin-Beijing economic wings. Through rigorous research, she cultivated expertise that would lay a solid foundation for her future professional achievements. Her commitment to her studies has been demonstrated by her multiple research projects and early publications.

Chen Liang’s academic focus on fintech complements her interest in regional economic development, giving her a unique perspective on how financial technologies can enhance or impact regional economies. This dual focus positions her as an innovative thinker in her field, contributing both to economic theory and practical applications.

Professional Endeavors and Research Focus 📊

Professionally, Chen Liang has concentrated her efforts on exploring the various factors that influence regional economic development. Her research delves deeply into the economic structures and growth trends of China’s key economic zones, and she has become proficient in analyzing the interplay between technological advancements, regulatory frameworks, and regional economic stability.

Her academic work includes the publication of one SCI paper, two SSCI papers, and four Chinese-language papers. These publications reflect her dedication to contributing knowledge to both international and local audiences. Furthermore, her involvement in three completed or ongoing research projects further underscores her professional commitment to advancing regional economic studies.

Chen Liang’s research has focused on the application of fintech to regional economic issues, showing how technology-driven solutions can address specific challenges within these economies. This novel approach has made her work particularly relevant in today’s rapidly evolving economic landscape.

Contributions and Research Impact 🏆

Chen Liang’s most significant contributions lie in her research on regional economics, particularly in examining the critical factors driving economic growth and sustainability in China’s most active economic regions. Her work not only emphasizes the importance of economic zones such as the Yangtze River Delta and the Pearl River Delta but also sheds light on how external factors—like government policy, technology, and international trade—affect these zones.

Her published works, including papers in Managerial and Decision Economics, Heliyon, and Energy Reports, highlight her proficiency in analyzing economic data and offering insights into regional economic strategies. Her research findings, particularly on the peer effect of green innovation within manufacturing enterprises, showcase her forward-thinking approach to economic sustainability, emphasizing the role of innovation in regional growth.

Chen Liang’s work has received citations from other scholars in her field, further validating the importance of her research. Her studies on power load forecasting using AC-BiLSTM models also demonstrate her versatility, applying complex machine learning models to solve regional economic problems.

Accolades and Recognition 🏅

Though early in her career, Chen Liang has achieved considerable recognition through her published work. Her papers have been published in prestigious journals like Managerial and Decision Economics and Energy Reports, both of which are well-regarded in their respective fields. These publications are a testament to her ability to contribute meaningful insights to complex economic discussions.

Although she has yet to receive major industry awards, her research and academic trajectory suggest that significant accolades may be on the horizon. Her work has caught the attention of other scholars, as evidenced by the growing citations of her work.

Impact and Influence 🌍

Chen Liang’s research has already begun to influence discussions surrounding the regional economy in China. Her studies on green innovation within manufacturing enterprises have highlighted the critical need for sustainable practices in growing economies. Additionally, her work in fintech and its impact on regional economies offers valuable insights that could influence economic policies and corporate strategies in the future.

As a thought leader in regional economics, Chen Liang’s focus on applying fintech to address regional challenges could potentially shape the direction of economic development strategies not only in China but in other rapidly developing regions around the world. Her focus on sustainability and technological integration also aligns with global trends toward greener and more efficient economic models.

Legacy and Future Contributions 🔮

Looking ahead, Chen Liang’s legacy will likely be defined by her continued contributions to regional economics and fintech applications. As she deepens her research and explores new areas of regional development, she is well-positioned to make an even more substantial impact on economic theory and policy.

Her ongoing research projects and her collaborations will play a pivotal role in shaping her future contributions. Given her demonstrated commitment to economic sustainability and technological advancement, she is likely to influence future policy discussions and regional development strategies, especially as the world increasingly moves toward tech-driven economic solutions.

In the years to come, Chen Liang may also extend her research beyond China, offering a comparative analysis of regional economic developments in different parts of the world. This global perspective could significantly enhance her influence and solidify her reputation as a key figure in regional economic studies.

Conclusion 🔑

In summary, Chen Liang’s academic and professional journey is a testament to her dedication and expertise in the field of regional economics. With a robust portfolio of published papers and ongoing research projects, she has already made significant contributions to understanding the economic landscape of China’s key regions. Her innovative approach to integrating fintech with economic research makes her a standout candidate for the Best Researcher Award. As she continues her work, her influence will likely extend beyond academia to shape policies and practices in regional economic development.

📝Notable Publications

 

The moral masking behavior of management after real earnings management: An analysis of management’s integrity commitment

Authors: Liu, F., Liang, C.
Journal: Heliyon
Volume: 10
Issue: 19
Pages: e38748
Year: 2024

Examining the role of artificial intelligence in advancing pollution reduction strategies

Authors: Liu, F., Liang, C.
Journal: Managerial and Decision Economics
Volume: 45
Issue: 5
Pages: 3068–3079
Year: 2024

Short-term power load forecasting based on AC-BiLSTM model

Authors: Liu, F., Liang, C.
Journal: Energy Reports
Volume: 11
Pages: 1570–1579
Year: 2024

Exploring the peer effect of green innovation within manufacturing enterprises

Authors: Liu, F., Liang, C.
Journal: Managerial and Decision Economics
Volume: 45
Issue: 2
Pages: 1104–1118
Year: 2024

Assist Prof Dr. Serdal Damarseçkin | Innovative Leadership | Best Researcher Award|

Assist Prof Dr. Serdal Damarseçkin | Innovative Leadership | Best Researcher Award|

Şırnak University, Turkey

Profile 

Scopus 

Early Academic Pursuits 🎓

Serdal Damarseçkin’s academic journey began with a strong foundation in physics. He earned his bachelor’s degree from Yüzüncü Yıl University, where he completed a program in the Department of Physics between 1999 and 2003. Demonstrating an early passion for understanding the complexities of the universe, Damarseçkin continued his studies at the same university, where he pursued his master’s degree. His master’s thesis, titled “Some Quantum Mechanical Solutions for the Two-Body Interacting Problem with a Screened Coulomb Potential”, reflects his early interest in complex quantum systems, which would later feed into his research in particle physics.

His pursuit of academic excellence culminated in his doctoral studies at CERN, in partnership with Çukurova University, between 2011 and 2018. His PhD thesis, “Search for New Particles Decaying to Dijet at √𝑠 = 13 TeV Proton-Proton Collisions with Data Scouting Technique at CMS”, marked the beginning of his significant contributions to high-energy physics, especially in the field of new physics.

Professional Endeavors in Particle Physics 🚀

Damarseçkin’s career has been largely shaped by his involvement with CERN, where he participated in groundbreaking projects within the Compact Muon Solenoid (CMS) experiment, one of the largest and most complex particle detectors at the Large Hadron Collider (LHC). His research focused on the search for new physics beyond the Standard Model, investigating two-jet resonances, dark matter, extra dimensions, and potential supersymmetric particles.

In addition to his work on new particle searches, Damarseçkin contributed to detector calibration and development. From 2013 to 2017, he was involved in the installation and upgrade of the CMS detector, a critical task in ensuring the precision and reliability of experimental data. His expertise in CMS HCAL (hadron calorimeter) calibration with test beam data from 2014 to 2017 further highlights his technical proficiency in refining the tools used to explore fundamental particles.

Contributions and Research Focus 🔬

Damarseçkin’s contributions to particle physics are deeply rooted in his exploration of two-jet resonance phenomena at √𝑠 = 13 TeV proton-proton collisions, carried out with the data scouting technique. His technical notes reflect this focus, showcasing key studies such as:

Searches for dijet resonances in pp collisions at √𝑠 = 13 TeV using up to 36 fb⁻¹ of data.
Calo scouting at 13 TeV, a pioneering technique that allows for more efficient analysis of large datasets, crucial in searching for rare phenomena like new particle decays.
In addition to particle physics, Damarseçkin’s research interests extend to the field of renewable energy. His international publications demonstrate his engagement in hydrogen energy research, a key area in sustainable energy development. His articles on hydrogen production and solar energy systems—such as the paper on hydrogen production from ZnCl2 salt and the integration of solar ponds with parabolic trough collectors—illustrate his cross-disciplinary approach to scientific inquiry, bridging the gap between physics and energy sustainability.

Accolades and Recognition 🏆

Damarseçkin’s work in high-energy physics and renewable energy has garnered recognition within the scientific community. His research on new particles and energy systems has led to several international publications in highly regarded journals. The paper on hydrogen production from ZnCl2 salt, published in the International Journal of Hydrogen Energy in 2024, is a testament to his contribution to advancing hydrogen energy technologies. His ability to address both fundamental physics questions and real-world energy challenges positions him as a versatile and impactful researcher.

Impact and Influence 🌍

Serdal Damarseçkin’s work at CERN has not only contributed to the discovery of new particles but also advanced the methodologies used in particle physics experiments. His involvement in the calibration and development of the CMS detector ensured the precision of one of the world’s most advanced scientific instruments, impacting countless research projects that rely on the LHC’s data.

In renewable energy, his focus on hydrogen energy—one of the most promising clean energy solutions—illustrates his commitment to addressing global energy challenges. His innovative approach to integrating solar energy technologies with hydrogen production reflects a forward-thinking vision for sustainable energy systems.

Legacy and Future Contributions ✨

Looking ahead, Damarseçkin’s legacy will likely be shaped by his dual contributions to both high-energy physics and renewable energy. His work on the search for new particles in proton-proton collisions remains a cornerstone of efforts to expand our understanding of the universe’s fundamental forces and particles. Simultaneously, his research into sustainable energy systems holds significant promise in the fight against climate change and the global transition to clean energy.

As Damarseçkin continues his research, he will undoubtedly leave a lasting impact in both fields, fostering a new generation of scientists who will build upon his contributions to physics and energy research. His interdisciplinary expertise positions him to be a leader in the quest for both new scientific discoveries and innovative solutions to global challenges.

📝Notable Publications

Dr. Omar Soufi | Innovative Leadership | Best Researcher Award

Dr. Omar Soufi | Innovative Leadership | Best Researcher Award

Mohammed V University of Rabat Mohammadia School of Engineering, Morocco

🔗 Professional Profiles

🌟 Summary

Dr. Omar Soufi is a seasoned data scientist with a doctorate in computer engineering, specializing in artificial intelligence. He has a wealth of experience in data science, spatial remote sensing, and geographic information systems (GIS), offering exceptional data analysis skills and developing business intelligence solutions to drive organizational advancements and strategic performance.

🎓 Education

  • 2023: Ph.D. in Computer Engineering (Artificial Intelligence) – EMI Rabat
    • Thesis: Deep Learning for Enhancing Satellite Image Quality and Star Sensor Processing
  • 2020: Engineering Degree in Information Systems Engineering – Polytechnique Grenoble, ENSIMAG
  • 2020: Engineering Degree in Software Engineering and Quality – EMI Rabat
  • 2015: Diploma of University Studies – ARM Merkèns
  • 2014: Bachelor’s in Mechanical Engineering – ARM Merkèns
  • 2011: Baccalaureate in Life and Earth Sciences – 1ER LMR

💼 Professional Experience

  • 2024-Present: Head of AI Missions
  • 2022-2023: Head of Geomatics & Decision Support Tools
  • 2020-2021: Head of BI & Decision Support Tools
  • 2017-2019: Team Leader at Decision Support Center
  • 2016: Project Manager at IT Department

🔬 Research Interests

  • Data Science: Advanced data analysis, business intelligence development, trend evolution in AI.
  • Artificial Intelligence: Deep learning applications in satellite image super-resolution and remote sensing.
  • GIS: Development of thematic cartographic applications and spatial data analysis.

📚 Academic Projects

  • E-learning platform development
  • Big Data architecture implementation
  • Pedagogical resource recommendation system
  • Web application for data visualization and processing
  • Distributed system for streaming data processing

🌐 Languages

  • Arabic, French, English, Spanish

📜 Certifications

  • IA, DL, ML from A to Z
  • Power BI Data Analyst Associate
  • QlikSense Data Analytics
  • Scientific Python
  • Google Data ML

Professional Skills

  • Programming: Python, R, JavaScript, C, Java, Scala
  • Web Technologies: HTML, CSS, PHP, JEE, APIs
  • Databases: SQL, NoSQL
  • Deep Learning: Scikit-learn, OpenCV, Keras, TensorFlow
  • Big Data: Hadoop, Spark, Elasticsearch, Kafka
  • GIS: QGIS, ArcGIS, GeoServer
  • Project Management: Agile methodologies, UML, Merise, Scrum

Dr. Soufi’s extensive expertise and proactive approach position him as a leading figure in leveraging AI and data science for strategic innovation and operational excellence.

Notable Publications

Paper Tittle: Benchmark of deep learning models for single image super-resolution (SISR)
  • Author: Omar Soufi, Zineb Aarab, Fatima-Zahra Belouadha
  • Year: 2022
  • Citations: 9
Paper Tittle: Study of Deep Learning-based models for Single Image Super-Resolution
  • Author: Omar Soufi, Fatima-Zahra Belouadha
  • Journal: Revue d’Intelligence Artificielle
  • Year: 2022
  • Citations: 4
Paper Tittle: Deep learning technique for image satellite processing
  • Author: Omar Soufi, Fatima-zahra Belouadha
  • Journal: Intelligent Methods In Engineering Sciences
  • Year: 2023
  • Citations: 2
Paper Tittle: Enhancing Accessibility to High-Resolution Satellite Imagery: A Novel Deep Learning-Based Super-Resolution Approach
  • Author: Omar Soufi, Fatima Zahra Belouadha
  • Journal: Journal of Environmental Treatment Techniques
  • Year: 2023
  • Citations: 1
Paper Tittle: FSRSI: New Deep Learning-Based Approach for Super-Resolution of Multispectral Satellite Images
  • Author: Omar Soufi, Fatima Zahra Belouadha
  • Journal: Ingenierie des Systemes d’Information
  • Year: 2023
  • Citations: 1