Shaohuai Feng | Data Science | Best Researcher Award | 2350

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Dr. Shaohuai Feng | Data Science | Best Researcher Award

Student at Feng CGSS, China

Feng Shaohuai is a dedicated researcher focused on sustainable development 🌍 and carbon neutrality 🌱. His work explores how industrial systems, environmental policies, and technological innovation can drive the low-carbon transition, particularly in emerging economies. Through interdisciplinary approaches, Feng bridges academic research with practical solutions to address global climate challenges. His projects, such as sustainable industrial transformation and data-driven environmental policy models, offer actionable frameworks for achieving long-term sustainability goals 🌿. With a commitment to policy implementation, his research informs industry and government decision-making. Feng’s recent publications in top journals reflect his expertise in environmental governance and low-carbon industrial policies. Despite his impressive academic contributions, there is room for expansion in industry partnerships, patents, and editorial roles 📚. Feng is a rising star in his field, bringing impactful, real-world solutions to pressing global issues and advancing the sustainability agenda 🌟.

Professional Profile

Scopus Profile

Education 🎓

Feng Shaohuai’s academic journey is rooted in the study of sustainability and carbon neutrality 🌍. He holds degrees specializing in environmental governance and low-carbon technologies 🌱, which have shaped his expertise in addressing global climate issues. His education provides a deep understanding of sustainable development challenges, particularly in the context of developing economies 🌏. Feng’s studies have focused on green innovation, energy efficiency, and policy frameworks that support the transition to a low-carbon future 🔋. This educational background enables him to merge theory with practice, crafting real-world solutions that align with global climate goals 🌐. Through his learning, Feng has honed interdisciplinary skills to create strategies that foster sustainability across various sectors, positioning him as a key figure in the field of environmental research 🔬.

Professional Experience 💼

Feng Shaohuai currently serves as a researcher at Universiti Sains Malaysia, where he focuses on sustainable industrial transformation and energy efficiency ⚙️. His professional work bridges the gap between policy, data, and technology, creating practical solutions for sustainable development 🌍. Feng leads projects that develop low-carbon industrial policies and green innovation strategies, aiming to transform industries and promote sustainability in emerging economies 🌱. His role enables him to work with governments, academia, and industry leaders to drive global sustainability agendas. Through his interdisciplinary approach, Feng has made valuable contributions to carbon neutrality and energy efficiency, ensuring that his research delivers real-world impact in the fight against climate change 🌡️.

Research Interest 🔬

Feng Shaohuai’s research is dedicated to carbon neutrality, low-carbon industrial policies, and sustainable development 🌱. He explores the intersection of technological innovation, environmental governance, and market mechanisms to develop solutions that address global sustainability challenges 🌍. His focus is on how data-driven environmental policies can enhance decision-making and improve energy efficiency 🔋. Feng also investigates strategies for sustainable industrial transformation, particularly in developing economies, to foster green innovation and reduce carbon footprints 🌳. His interdisciplinary research combines policy, technology, and industry, aiming to create actionable solutions for global climate goals 🌏. Through this work, Feng seeks to accelerate the transition to a low-carbon future and promote environmental sustainability across sectors 🌐.

Awards and Honors 🏆

While Feng Shaohuai has yet to receive major formal awards, his research has earned recognition in the field of sustainability and carbon neutrality 🌿. His articles in respected journals like Resources Policy and Energy Strategy Reviews showcase his growing influence in the academic world 📚. Feng’s work on low-carbon industrial transformation and environmental policies has contributed to advancing sustainable development goals 🌏. Though not yet awarded, his published research and interdisciplinary approach are a testament to his expertise and potential for future recognition 🌟. As his work continues to influence the fields of green innovation and sustainable development, Feng is well-positioned to receive accolades for his contributions to the low-carbon transition and global climate solutions 🌱.

Conclusion 🌟

Feng Shaohuai is an emerging leader in sustainability research, focusing on carbon neutrality, green innovation, and low-carbon industrial policies 🌿. His academic background and professional expertise enable him to bridge the gap between policy, data, and technology, driving impactful solutions for global sustainability 🌍. Feng’s research on sustainable industrial transformation and energy efficiency plays a pivotal role in shaping strategies that support carbon neutrality and environmental governance 🌱. Through his interdisciplinary approach, Feng is actively contributing to the global shift toward low-carbon futures 🌏. As he continues to collaborate with governments, industries, and researchers, Feng’s work will accelerate climate goals and contribute to a sustainable and green world 🌳.

Publications Top Notes

Unlocking the potential of natural resources, fintech and fiscal policy for carbon neutrality; evidence from N-11 nations

  • Authors: Shaohuai Feng, Mohd Wira Mohd Shafiei, Theam Foo Ng, Jie Ren

  • Year: November 2024

  • Source: Resources Policy 🌍

The intersection of economic growth and environmental sustainability in China: Pathways to achieving SDG

  • Authors: Shaohuai Feng, Mohd Wira Mohd Shafiei, Theam Foo Ng, Yefeng Jiang

  • Year: September 2024

  • Citations: 9 📚

  • Source: Energy Strategy Reviews ⚡

 

Sandipan Mondal | Data Science | Young Scientist Award

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Dr. Sandipan Mondal | Data Science | Young Scientist Award

Post Doctoral Researcher & Adjunct Assistant Professor at National Taiwan Ocean University, India

Dr. Sandipan Mondal is a Post-Doctoral Researcher and Adjunct Assistant Professor at the National Taiwan Ocean University, specializing in fisheries oceanography, climate change effects, species distribution modeling, and marine ecosystem dynamics. His expertise spans fish feeding ecology, taxonomic identification, stable isotope analysis, and fishing gear technology. With a strong research background, he has contributed significantly to habitat modeling and the impact of climate variability on fisheries in the Indian Ocean and Taiwan Strait. Dr. Mondal has an impressive publication record in top-tier journals and has received accolades such as the Young Academician Award and a research grant from the National Science and Technology Council of Taiwan. His ability to integrate advanced computational techniques, machine learning models, and remote sensing in ecological research sets him apart. A dedicated scientist committed to environmental sustainability, he actively collaborates on interdisciplinary projects and participates in academic awards, driving impactful contributions to marine and fishery sciences.

Professional Profile 

Google Scholar
Scopus Profile

Education

Dr. Sandipan Mondal holds a Ph.D. in Fisheries Resource Management from ICAR-Central Institute of Fisheries Education, India. His doctoral research focused on the impact of climate variability on fisheries and marine ecosystems, integrating statistical and computational approaches. Prior to this, he earned a Master’s degree in Fisheries Science with a specialization in Fisheries Resource Management, where he developed expertise in species distribution modeling and fish population dynamics. He also holds a Bachelor’s degree in Fisheries Science, which laid the foundation for his knowledge in aquaculture, fish biology, and marine ecology. His academic journey has been marked by rigorous training in advanced data analysis, remote sensing applications in fisheries, and ecological modeling. Throughout his education, he actively participated in research projects, workshops, and field studies, refining his skills in experimental design and marine biodiversity assessment. His strong academic background and multidisciplinary expertise have enabled him to contribute significantly to fisheries and marine research.

Professional Experience

Dr. Sandipan Mondal is currently a Post-Doctoral Researcher and Adjunct Assistant Professor at the National Taiwan Ocean University. In this role, he conducts research on fisheries oceanography, climate change impacts, and ecosystem-based fisheries management. He has extensive experience in species distribution modeling, stable isotope analysis, and fish feeding ecology, contributing to marine conservation and sustainable fisheries management. Before this, he worked as a Research Associate at ICAR-Central Institute of Fisheries Education, where he engaged in projects related to fisheries stock assessment, climate resilience, and marine habitat modeling. He has also collaborated with international research teams on machine learning applications in ecological studies. Additionally, he has served as a mentor and guest lecturer, sharing his expertise in fisheries science, oceanography, and statistical modeling. His professional journey reflects a strong commitment to interdisciplinary research, academic mentorship, and practical applications of fisheries and marine ecosystem studies.

Research Interest

Dr. Sandipan Mondal’s research interests focus on fisheries oceanography, marine ecosystem modeling, and the impact of climate change on aquatic biodiversity. He specializes in species distribution modeling, habitat suitability analysis, and the use of remote sensing and GIS in fisheries research. His work integrates machine learning techniques and advanced statistical approaches to predict fish population dynamics and assess marine environmental changes. He is particularly interested in the trophic interactions of marine species, stable isotope applications in food web studies, and the sustainability of fisheries resources under changing climatic conditions. His research extends to the development of fishing gear technology, ecological niche modeling, and conservation strategies for commercially important fish species. By combining computational tools and field-based studies, he aims to contribute to sustainable fisheries management and marine biodiversity conservation. His interdisciplinary approach enables him to address complex challenges in fisheries science and oceanographic research.

Awards and Honors

Dr. Sandipan Mondal has received several prestigious awards and honors in recognition of his outstanding contributions to fisheries and marine sciences. He was honored with the Young Academician Award for his groundbreaking research in fisheries oceanography and climate change impacts. He has also been awarded a research grant by the National Science and Technology Council of Taiwan, supporting his innovative work in species distribution modeling and marine ecosystem dynamics. His academic excellence has been acknowledged through multiple best paper and presentation awards at international awards. Additionally, he has been a recipient of merit-based scholarships and fellowships during his academic journey. His commitment to research and innovation has positioned him as a leading expert in fisheries resource management. These accolades reflect his dedication to advancing marine science and his continuous pursuit of solutions for sustainable fisheries and environmental conservation.

Conclusion

Dr. Sandipan Mondal is a dedicated marine scientist whose expertise in fisheries oceanography, climate change impacts, and ecosystem modeling has significantly contributed to the field of fisheries and marine research. His strong academic background, combined with extensive research experience, has allowed him to integrate advanced computational tools and ecological theories to address critical challenges in fisheries management. Through his interdisciplinary approach, he has made notable contributions to marine conservation, sustainable fisheries practices, and climate adaptation strategies. His work has been recognized through numerous awards, grants, and publications in high-impact journals. Beyond research, he is actively involved in academic mentorship and collaborative projects, driving innovation and knowledge exchange in the scientific community. With a passion for environmental sustainability and marine biodiversity conservation, Dr. Mondal continues to explore new frontiers in fisheries science, aiming to bridge the gap between research and practical applications for the benefit of global aquatic ecosystems.

Publications Top Noted

1.

  • Title: Habitat suitability modeling for the feeding ground of immature albacore in the southern Indian Ocean using satellite-derived sea surface temperature and chlorophyll data
  • Authors: S Mondal, AH Vayghan, MA Lee, YC Wang, B Semedi
  • Year: 2021
  • Citations: 26
  • Source: Remote Sensing 13 (14), 2669

2.

3.

  • Title: Long-term observations of sea surface temperature variability in the Gulf of Mannar
  • Authors: S Mondal, MA Lee
  • Year: 2023
  • Citations: 10
  • Source: Journal of Marine Science and Engineering 11 (1), 102

4.

  • Title: Seasonal distribution patterns of Scomberomorus commerson in the Taiwan Strait in relation to oceanographic conditions: An ensemble modeling approach
  • Authors: S Mondal, MA Lee, JS Weng, KE Osuka, YK Chen, A Ray
  • Year: 2023
  • Citations: 9
  • Source: Marine Pollution Bulletin 197, 115733

5.

  • Title: Ensemble modeling of black pomfret (Parastromateus niger) habitat in the Taiwan Strait based on oceanographic variables
  • Authors: S Mondal, MA Lee, YK Chen, YC Wang
  • Year: 2023
  • Citations: 9
  • Source: PeerJ 11, e14990

6.

  • Title: Habitat modeling of mature albacore (Thunnus alalunga) tuna in the Indian Ocean
  • Authors: S Mondal, MA Lee
  • Year: 2023
  • Citations: 8
  • Source: Frontiers in Marine Science 10, 1258535

7.

8.

  • Title: Ensemble three-dimensional habitat modeling of Indian Ocean immature albacore tuna (Thunnus alalunga) using remote sensing data
  • Authors: S Mondal, YC Wang, MA Lee, JS Weng, BK Mondal
  • Year: 2022
  • Citations: 8
  • Source: Remote Sensing 14 (20), 5278

9.

  • Title: Long-term variation of sea surface temperature in relation to sea level pressure and surface wind speed in the southern Indian Ocean
  • Authors: S Mondal, MA Lee, YC Wang, B Semedi
  • Year: 2022
  • Citations: 7
  • Source: Journal of Marine Science and Technology 29 (6), 784-793

10.

  • Title: Changes in properties of polyamide netting materials exposed to different environments
  • Authors: S Mondal, SN Thomas, B Manoj Kumar
  • Year: 2019
  • Citations: 7
  • Source: J Fish Res. 2019; 3 (2): 1-3. J Fish Res 2019 Volume 3 Issue 2

11.

  • Title: Impact of climatic oscillations on marlin catch rates of Taiwanese long-line vessels in the Indian Ocean
  • Authors: S Mondal, A Ray, KE Osuka, RI Sihombing, MA Lee, YK Chen
  • Year: 2023
  • Citations: 6
  • Source: Scientific Reports 13 (1), 22438

12.

  • Title: Detecting the feeding habitat zone of albacore tuna (Thunnus alalunga) in the southern Indian Ocean using multisatellite remote sensing data
  • Authors: S Mondal, YC Lan, MA Lee, YC Wang, B Semedi, WY Su
  • Year: 2022
  • Citations: 5
  • Source: Journal of Marine Science and Technology 29 (6), 794-807

13.

  • Title: Habitat modelling of escolar fish (Lepidocybium flavobrunneum, Smith 1843) in the southwestern Indian Ocean using remote sensing data
  • Authors: RI Sihombing, A Ray, S Mondal, MA Lee
  • Year: 2024
  • Citations: 4
  • Source: International Journal of Remote Sensing 45 (23), 8722-8741

14.

15.

  • Title: Fishery-based adaptation to climate change: The case of migratory species flathead grey mullet (Mugil cephalus L.) in Taiwan Strait, Northwestern Pacific
  • Authors: MA Lee, S Mondal, SY Teng, ML Nguyen, P Lin, JH Wu, BK Mondal
  • Year: 2023
  • Citations: 4
  • Source: PeerJ 11, e15788

16.

  • Title: Distribution patterns of grey mullet in the Taiwan Strait in relation to oceanographic conditions
  • Authors: SY Teng, S Mondal, QH Lu, P Lin, MA Lee, LG Korowi
  • Year: 2024
  • Citations: 2
  • Source: Journal of Marine Science and Engineering 12 (4), 648

17.

  • Title: Modeling of swordtip squid (Uroteuthis edulis) monthly habitat preference using remote sensing environmental data and climate indices
  • Authors: A Haghi Vayghan, A Ray, S Mondal, MA Lee
  • Year: 2024
  • Citations: 2
  • Source: Frontiers in Marine Science 11, 1329254

18.

  • Title: Total catch variability in the coastal waters of Taiwan in relation to climatic oscillations and possible impacts
  • Authors: MA Lee, S Mondal, JH Wu, M Boas
  • Year: 2022
  • Citations: 2
  • Source: Journal of Taiwan Fisheries Society 49 (2), 127-143

19.

  • Title: Cyclic variation in fishing catch rates influenced by climatic variability in the waters around Taiwan
  • Authors: MA Lee, S Mondal, JH Wu, YH Huang, M Boas
  • Year: 2022
  • Citations: 2
  • Source: Journal of Taiwan Fisheries Society 49 (2), 113-125

20.

  • Title: The influence of sea surface temperature on the distribution of albacore tuna (Thunnus alalunga) in the southern Indian Ocean
  • Authors: S Mondal, MA Lee
  • Year: 2018
  • Citations: 1
  • Source: Journal of Fisheries Society Taiwan 45 (4), 253-260

Athanasios Angeioplastis | Data Science | Best Researcher Award

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Prof. Athanasios Angeioplastis | Data Science | Best Researcher Award

PhD Candidate at IHU, Greece

Athanassios Aggioplastis is a dedicated researcher and educator with extensive experience in electrical engineering, informatics, and communications. Currently a PhD candidate at Aristotle University of Thessaloniki, he has a strong academic background and a passion for advancing knowledge in his field. With 17 years as an Informatics Teacher and 12 years of higher education teaching at the Technological Educational Institute (TEI) of Serres, he has significantly contributed to academic development. His professional experience spans over two decades as a freelancer in electrical engineering, complemented by involvement in scientific article writing and training program development for COPMED. Fluent in English (C2) and French (C1), he has the potential for international collaborations. While he has published research on athlete training program management, expanding his research impact through more high-impact publications, funded projects, and collaborations would further strengthen his academic profile and enhance his recognition in the research community.

Professional Profile 

Scopus Profile

Education

Athanassios Aggioplastis has pursued a strong academic foundation in electrical engineering and informatics. He is currently a PhD candidate at Aristotle University of Thessaloniki, specializing in Electrical and Computer Engineering. His academic journey also includes studies at the International Hellenic University in the Department of Information and Communication Engineering, further solidifying his expertise in advanced computational systems. Through his doctoral research, he is focused on developing innovative methodologies in engineering and informatics. His education has equipped him with a multidisciplinary perspective, enabling him to bridge theoretical knowledge with practical applications. With a strong commitment to lifelong learning, he continues to engage in academic and professional development, positioning himself as a knowledgeable researcher in his field. His educational background provides a robust foundation for his contributions to teaching, industry applications, and scientific research, making him a valuable member of the academic and engineering communities.

Professional Experience

Athanassios Aggioplastis has an extensive professional background spanning education, engineering, and research. With 17 years of experience as an Informatics Teacher at the 2nd General Lyceum of Serres, he has played a vital role in shaping the next generation of students in computer science. In higher education, he has contributed 12 years of teaching as both an hourly and seconded lecturer at the Technological Educational Institute (TEI) of Serres, specializing in Informatics and Communications. Alongside his academic career, he has worked for over 20 years as a freelance electrical engineer, applying his technical expertise in real-world projects. His professional experience extends to research-oriented roles, including scientific article writing and training program development for COPMED, demonstrating his ability to integrate academic knowledge with industry needs. His diverse experience highlights his versatility and dedication to both education and applied engineering solutions.

Research Interest

Athanassios Aggioplastis’s research interests lie at the intersection of electrical engineering, informatics, and applied computational systems. His work explores innovative methodologies in computer engineering, information and communication technologies, and their real-world applications. His published research on athlete training program management reflects a multidisciplinary approach, integrating technology with performance optimization. He is particularly interested in developing intelligent systems that enhance efficiency in various domains, including engineering applications, data-driven decision-making, and automation. His ongoing PhD research is expected to contribute novel insights into electrical and computer engineering. While his research portfolio is still expanding, his engagement with scientific writing and program development demonstrates a keen interest in advancing technological innovation. By broadening his research scope to include collaborative projects, high-impact publications, and funded initiatives, he has the potential to make significant contributions to the field and establish himself as a leading researcher in computational engineering.

Awards and Honors

While Athanassios Aggioplastis has built an impressive career in education and engineering, there is no documented record of significant research awards or honors in his profile. His long-standing contributions to academia, including 17 years of secondary school teaching and 12 years of higher education instruction, reflect a strong commitment to education and mentorship. His involvement in industry and scientific writing showcases his dedication to advancing knowledge and training programs. While he may not yet have received formal research accolades, his growing engagement in doctoral research and interdisciplinary applications could position him for future recognition. Participation in prestigious awards, securing research grants, and publishing in high-impact journals could enhance his academic standing and open opportunities for receiving awards. By actively contributing to the global research community and increasing his visibility in the field, he has the potential to earn accolades that reflect his expertise and contributions to electrical and computer engineering.

Conclusion

Athanassios Aggioplastis is a dedicated academic and professional with extensive experience in teaching, engineering, and research. As a PhD candidate, he is actively working to enhance his expertise in electrical and computer engineering while balancing a robust teaching career. His experience as a lecturer and secondary school educator highlights his dedication to knowledge dissemination. His research interests focus on applied informatics and computational engineering, with potential for growth in interdisciplinary collaborations. Although his current publication record and research accolades are limited, expanding his contributions through high-impact journal articles, research funding, and professional networking could significantly elevate his profile. His multilingual proficiency and industry background further position him for international research opportunities. While he is not yet a leading figure in research awards, his continuous academic and professional advancements indicate strong potential for future contributions and recognition in his field.

Publications Top Noted

  • Title: Predicting Student Performance and Enhancing Learning Outcomes: A Data-Driven Approach Using Educational Data Mining Techniques

    • Authors: Athanasios Angeioplastis, John Aliprantis, Markos Konstantakis, Alkiviadis Tsimpiris
    • Year: 2025
    • Citation: Computers 2025, 14(3), 83
    • Source: MDPI Computers Journal

  • Title: Predicting Student Specializations: A Machine Learning Approach Based on Academic Performance

    • Authors: Athanasios Angeioplastis, Nikolaos Papaioannou, Alkiviadis Tsimpiris, Angeliki Kamilali, Dimitrios Varsamis
    • Year: 2024
    • Citation: Journal of e-Learning and Knowledge Society, 20(2), 19-27
    • Source: Journal of e-Learning and Knowledge Society

  • Title: State-of-the-Art CNN Architectures for Assessing Fine Motor Skills: A Comparative Study

    • Authors: Konstantinos Strikas, Nikolaos Papaioannou, Ioannis Stamatopoulos, Athanasios Angeioplastis, Alkiviadis Tsimpiris, Dimitrios Varsamis, Paraskevi Giagazoglou
    • Year: 2023
    • Citation: WSEAS Transactions on Advances in Engineering Education, 20, 44-51
    • Source: WSEAS Transactions

  • Title: Parallel Feature Subset Selection Wrappers Using k-Means Classifier

    • Authors: Nikolaos Papaioannou, Alkiviadis Tsimpiris, Christos Talagozis, Leonidas Fragidis, Athanasios Angeioplastis, Sotirios Tsakiridis, Dimitrios Varsamis
    • Year: 2023
    • Citation: WSEAS Transactions on Information Science and Applications, 20, 10
    • Source: WSEAS Transactions

  • Title: Comparative Analysis of Convolutional Neural Networks for Early Diagnosis of Plant Diseases and Pests in a Multiclass Dataset

    • Authors: Nikolaos Papaioannou, Alkiviadis Tsimpiris, Aristea Kounani, Ioannis Stamatopoulos, Athanasios Angeioplastis, Dimitrios Varsamis
    • Year: 2023
    • Citation: International Journal of Computing and Optimization, 10(1), 41-53
    • Source: International Journal of Computing and Optimization

  • Title: Comparative Analysis of Focus Group Insights on Sports Inclusion for Individuals with Intellectual Disabilities in Italy, Bulgaria, and Ireland

    • Authors: Muhammad Farooq, Maria Grazia Pirina, Roberto Solinas, Athanasios Angeioplastis
    • Year: 2024
    • Source: ResearchGate

  • Title: A Procedure for Optimization of Placement Products in Large Industrial Areas of a Greek Soft Drinks Company

    • Authors: Sotirios Tsakiridis, Alkiviadis Tsimpiris, Athanasios Angeioplastis, Dimitrios Varsamis
    • Year: 2024
    • Source: ResearchGate

  • Title: A Procedure with MySQL Python for Developing Data Warehouse and Analytics Using Data from a Greek Soft Drinks Company

    • Authors: Sotirios Tsakiridis, Alkiviadis Tsimpiris, Athanasios Angeioplastis, Dimitrios Varsamis
    • Year: 2024
    • Source: ResearchGate

  • Title: Exploring the Intersection of Artificial Intelligence, Sport Education, and Disabilities: A Bibliometric Analysis and Future Research Predictions

    • Authors: Muhammad Farooq, Maria Grazia Pirina, Roberto Solinas, Athanasios Angeioplastis
    • Year: 2024
    • Source: ResearchGate

  • Title: Data Analysis of Student Performance on Database Course Using Orange Data Mining Software

    • Authors: Athanasios Angeioplastis, Alkiviadis Tsimpiris, Dimitrios Varsamis, Roberto Solinas
    • Year: 2024
    • Source: ResearchGate

  • Title: Teaching Mathematics with Educational Robotics

    • Authors: Athanasios Angeioplastis, Argyrios Koureas, Alkiviadis Tsimpiris, Roberto Solinas
    • Year: 2024
    • Source: ResearchGate

  • Title: Analytics with Oracle APEX for Enhanced Data Warehouse Management: A Case Study of a Greek Soft Drinks Company

    • Authors: Sotirios Tsakiridis, Alkiviadis Tsimpiris, Athanasios Angeioplastis, Dimitrios Varsamis
    • Year: 2024
    • Source: ResearchGate

  • Title: Statistical Analysis of Demographic Data and Student Performance in the Courses of the Bachelor’s Degree Program at the Department of Computer, Informatics and Telecommunications Engineering – International Hellenic University with ORACLE APEX Statistics

    • Authors: Athanasios Angeioplastis, Eleftherios Panagis, Sotirios Tsakiridis, Dimitrios Varsamis
    • Year: 2024
    • Source: ResearchGate

  • Title: Data Analysis of Student’s Performance on “Database” Course with ORACLE APEX Statistics

    • Authors: Athanasios Angeioplastis, Alkiviadis Tsimpiris, Dimitrios Varsamis, Robert Leskovar
    • Year: 2023
    • Source: ResearchGate

 

 

Meichen Feng | Data Science | Best Researcher Award

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Prof. Meichen Feng | Data Science | Best Researcher Award

Professor at Shanxi Agricultural University, China.

Feng Meichen is a distinguished professor at Shanxi Agricultural University, specializing in crop ecology, precision agriculture, and agricultural information technology. As the Deputy Dean of the College of Agriculture, she has led 22 research projects, authored 82 SCI/Scopus-indexed papers, and secured 18 patents, demonstrating a strong commitment to advancing sustainable agriculture. With 988 citations and an H-index of 19, her work has significantly impacted agricultural innovation and technology. She has published 5 books, contributed to multiple academic committees, and serves on the editorial boards of leading agricultural journals. Her research focuses on improving crop yield, resource efficiency, and environmental sustainability, benefiting both academia and local farming communities. While her expertise is well-recognized in China, expanding global collaborations could further enhance her research impact. With a remarkable career in agricultural research and innovation, Feng Meichen is an outstanding candidate for the Best Researcher Award.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Feng Meichen holds an advanced degree in agriculture and crop ecology, equipping her with a deep understanding of agricultural information technology, precision farming, and ecological sustainability. Her academic journey has been dedicated to exploring innovative agricultural techniques that improve productivity while ensuring environmental sustainability. Through extensive research and continuous professional development, she has gained expertise in 3S technology (GIS, GPS, and remote sensing) and its application in modern agriculture. Her education has provided a strong foundation for her contributions to precision agriculture, crop management, and smart farming technologies. With a commitment to advancing agricultural science, she has successfully integrated academic knowledge with practical applications, benefiting both researchers and farming communities. Her ability to translate theoretical concepts into real-world solutions has made her a recognized leader in the field of crop science and agricultural technology.

Professional Experience

As a Professor and Deputy Dean at the College of Agriculture, Shanxi Agricultural University, Feng Meichen has established herself as a leader in agricultural research and education. She has successfully led 22 major research projects, contributing to advancements in crop ecology, precision farming, and smart agriculture. Her expertise extends beyond academia, as she actively collaborates with government agencies, research institutions, and industry leaders to develop sustainable farming practices. She has authored 82 peer-reviewed journal articles, secured 18 patents, and published 5 books, showcasing her multidisciplinary expertise. Additionally, she serves on the editorial boards of prestigious agricultural journals, including the Journal of Smart Agriculture and Shanxi Agricultural Sciences. She is also a member of multiple professional committees, influencing agricultural policies and research directions in China. Her extensive academic, research, and administrative experience highlights her dedication to advancing agricultural science and technology for long-term sustainability.

Research Interests

Feng Meichen’s research focuses on crop ecology, precision agriculture, and agricultural information technology, with an emphasis on sustainable and smart farming solutions. She integrates 3S technology (GIS, GPS, remote sensing) with crop production models to enhance agricultural efficiency, resource management, and environmental conservation. Her work aims to optimize crop yield, reduce environmental impact, and improve agricultural decision-making processes. She is particularly interested in applying artificial intelligence and big data analytics to develop predictive models for crop health monitoring and precision irrigation systems. Her research extends to organic dryland agriculture, where she explores climate-resilient farming techniques. By collaborating with industry experts, policymakers, and farmers, she ensures that her research findings have practical applications that benefit the agricultural sector. Her commitment to advancing smart agriculture technologies positions her as a pioneering researcher in the field of modern agriculture.

Awards and Honors

Feng Meichen has received multiple awards and recognitions for her outstanding contributions to agricultural science and research. As a Deputy Chief Expert in the Shanxi Modern Agricultural Specialty Grain Industry Technology System, she has played a pivotal role in shaping agricultural policies and technologies. Her patents and scientific contributions have earned her recognition at national and provincial levels. She has been honored by Shanxi Agricultural University and various academic organizations for her contributions to precision farming, agricultural technology development, and ecological sustainability. She is a member of several prestigious agricultural committees, including the China Modern Agriculture Graduate School and the Chinese Society of Crops. Through her active involvement in academic and industry collaborations, she continues to make a lasting impact on the agricultural sector. Her dedication to agricultural innovation and sustainability has established her as a leading researcher and academician.

Conclusion

Feng Meichen is a highly accomplished researcher, academic leader, and innovator in agricultural science. With extensive research contributions, patents, and leadership roles, she has significantly advanced the fields of crop ecology, precision agriculture, and smart farming technologies. Her work has not only improved crop productivity and resource efficiency but also contributed to sustainable farming practices that benefit both academic research and practical applications. While her impact is widely recognized in China, expanding international collaborations and industry partnerships could further elevate her global research influence. Her dedication to scientific excellence, innovation, and sustainability makes her an outstanding candidate for the Best Researcher Award.

Publications Top Noted

2025 Publications

🔹 Evaluating the Potential of Airborne Hyperspectral Imagery in Monitoring Common Beans with Common Bacterial Blight at Different Infection Stages

  • Authors: Binghan Jing, Jiachen Wang, Xin Zhang, Xiaoxiang Hou, Kunming Huang, Qianyu Wang, Yiwei Wang, Yaoxuan Jia, Meichen Feng, Wude Yang et al.
  • Year: 2025
  • DOI: 10.1016/j.biosystemseng.2025.02.002
  • Source: Biosystems Engineering (Crossref)

🔹 Potential Impacts of Climate Change on the Spatial Distribution Pattern of Naked Oats in China

  • Authors: Zhenwei Yang, Xujing Yang, Yuheng Huang, Yalin Zhang, Yao Guo, Meichen Feng, Mingxing Qin, Ning Jin, Muhammad Amjad, Chao Wang et al.
  • Year: 2025
  • DOI: 10.3390/agronomy15020362
  • Source: Agronomy (Crossref)

2024 Publications

🔹 A Model for the Detection of β-Glucan Content in Oat Grain Based on Near Infrared Spectroscopy

  • Authors: Yang Z., Cheng Z., Su P., Wang C., Qin M., Song X., Xiao L., Yang W., Feng M., Zhang M.
  • Year: 2024
  • DOI: 10.1016/j.jfca.2024.106105
  • Source: Journal of Food Composition and Analysis (Scopus – Elsevier)

🔹 Combined Use of Spectral Resampling and Machine Learning Algorithms to Estimate Soybean Leaf Chlorophyll

  • Authors: Gao C., Li H., Wang J., Zhang X., Huang K., Song X., Yang W., Feng M., Xiao L., Zhao Y. et al.
  • Year: 2024
  • DOI: 10.1016/j.compag.2024.108675
  • Source: Computers and Electronics in Agriculture (Scopus – Elsevier)

🔹 Efficient Prediction of SOC and Aggregate OC Components by Continuous Wavelet Transform Spectra Under Different Feature Selection Methods

  • Authors: Yang S., Wang Z., Ji C., Hao Y., Liang Z., Yan X., Qiao X., Feng M., Xiao L., Song X. et al.
  • Year: 2024
  • DOI: 10.1016/j.compag.2023.108550
  • Source: Computers and Electronics in Agriculture (Scopus – Elsevier)

🔹 Prediction of the Potential Distribution and Analysis of the Freezing Injury Risk of Winter Wheat on the Loess Plateau Under Climate Change

  • Authors: Qing Liang, Xujing Yang, Yuheng Huang, Zhenwei Yang, Meichen Feng, Mingxing Qing, Chao Wang, Wude Yang, Zhigang Wang, Meijun Zhang et al.
  • Year: 2024
  • Source: Journal of Integrative Agriculture

2023 Publications

🔹 AMF Inoculation Positively Regulates Soil Microbial Activity and Drought Tolerance of Oat

  • Authors: Li Y., Li L., Zhang B., Lü Y.-F., Feng M.-C., Wang C., Song X.-Y., Yang W.-D., Zhang M.-J.
  • Year: 2023
  • DOI: 10.11674/zwyf.2022561
  • Source: Journal of Plant Nutrition and Fertilizers (Scopus – Elsevier)

🔹 Analyzing Protein Concentration from Intact Wheat Caryopsis Using Hyperspectral Reflectance

  • Authors: Zhang X., Hou X., Su Y., Yan X., Qiao X., Yang W., Feng M., Kong H., Zhang Z., Shafiq F. et al.
  • Year: 2023
  • DOI: 10.21203/rs.3.rs-2887647/v1
  • Source: Research Square

🔹 Hyperspectral Monitoring of Growth and Physiology Parameters of Winter Wheat Based on Different Quantification Methods

  • Authors: Wang Z.-G., Yang S., Feng M.-C., Yang W.-D., Liang Q., Yang X.-J., Yan X.-B., Sun X.-K., Qin M.-X., Wang C. et al.
  • Year: 2023
  • DOI: 10.2139/ssrn.4535833
  • Source: SSRN

🔹 Identification of Structural Variations Related to Drought Tolerance in Wheat (Triticum aestivum L.)

  • Authors: Zhao J., Li X., Qiao L., Zheng X., Wu B., Guo M., Feng M., Qi Z., Yang W., Zheng J.
  • Year: 2023
  • DOI: 10.1007/s00122-023-04283-4
  • Source: Theoretical and Applied Genetics (Scopus – Elsevier)