Zeyang Zhou | Biomedical Engineering | Innovative Research Award

Dr. Zeyang Zhou | Biomedical Engineering | Innovative Research Award

Assistant Researcher at Tianjin University, China

Dr. Zeyang Zhou is a rising scholar in the field of intelligent surgical technologies, currently serving as an Assistant Researcher at the School of Mechanical Engineering, Tianjin University, China. His work bridges advanced engineering with clinical applications, focusing on developing smart surgical navigation systems, mixed reality (MR)/virtual reality (VR)-aided precision surgery, and intelligent medical image processing. With numerous high-quality publications in international journals, Dr. Zhou has made impactful contributions to neurosurgery, brachytherapy, and interventional procedure planning through innovative imaging and modeling techniques.

Publication Profileย 

Scopus

Educational Background ๐ŸŽ“

  • Ph.D. in Mechanical Engineering
    Tianjin University (2023 โ€“ Present)
    With Visiting Research Experience at University of Cambridge, UK

  • M.S. in Mechanical Engineering
    Tianjin University (2017 โ€“ 2019)

  • B.S. in Mechanical Engineering
    Tianjin University (2013 โ€“ 2017)

Professional Experience ๐Ÿ’ผ

  • Assistant Researcher
    School of Mechanical Engineering, Tianjin University
    July 2023 โ€“ Present

  • Postdoctoral Research Fellow
    School of Mechanical Engineering, Tianjin University
    July 2023 โ€“ Present (Note: The dates overlap; this may indicate a dual appointment or transition)

Research Interests ๐Ÿ”ฌ

  • Surgical navigation systems

  • Mixed reality (MR) and virtual reality (VR) in precision and minimally invasive surgery

  • Medical robotics, especially for minimally invasive procedures

  • Intelligent medical image processing and modeling

  • Machine learning applications in surgical planning and guidance

  • Real-time motion modeling in clinical environments

Selected Contributions and Highlights

  • Developed and validated multiple MR-based surgical navigation systems for glioma resection, intracerebral hemorrhage, and brachytherapy.

  • Proposed novel stereo registration methods and machine learning models for respiratory motion compensation and needle insertion planning.

  • Published in reputable journals such as Medical Physics, Computers in Biology and Medicine, Virtual Reality, and Journal of Digital Imaging.

  • Pioneered VR-based surgical simulation systems and compared different immersive environments (e.g., zSpace vs. Vive).

  • Co-authored more than 11 peer-reviewed international publications from 2021 to 2024, reflecting a strong research trajectory.

Conclusion๐ŸŒŸ

Dr. Zeyang Zhou exemplifies an innovative and interdisciplinary researcher at the forefront of surgical engineering. His work in merging real-time imaging, machine learning, and immersive technologies is reshaping precision medicine and intelligent surgery. With a robust academic foundation, growing international collaborations, and a compelling record of publications, Dr. Zhou is well-positioned for continued academic and translational success. Further recognition through national or international awards would be both merited and strategically valuable to support the expansion of his research impact.

Publications ๐Ÿ“š

  • ๐Ÿง  Brain Tumor Resection Segmentation
    Li Y., Jiang S., Yang Z., Wang L., Liu Z., Zhou Z.
    โžค Segmentation of Brain Tumor Resections in Intraoperative 3D Ultrasound Images Using a Semi-supervised Cross nnSU-Net
    ๐Ÿ“˜ International Journal of Imaging Systems and Technology, 2024


  • ๐Ÿ’‰ Needle Insertion Deflection Modeling
    Jiang S., Gao Y., Yang Z., Li Y., Zhou Z.
    โžค Prediction of Needle Insertion Deflection in Soft Tissue Based on Cutting Force
    ๐Ÿ“˜ Computer Methods in Biomechanics and Biomedical Engineering, 2024
    ๐Ÿ”— DOI: 10.1080/10255842.2024.2386326


  • ๐Ÿซ Respiratory Motion Modeling via Neural Network
    Jiang S., Li B., Yang Z., Li Y., Zhou Z.
    โžค A Back Propagation Neural Network-Based Respiratory Motion Modelling Method
    ๐Ÿ“˜ International Journal of Medical Robotics and Computer Assisted Surgery, 2024, 20(3): e2647


  • ๐Ÿค– High-Dimensional Motion Modeling
    Zhou Z., Jiang S., Yang Z., Zhou N., Ma S., Li Y.
    โžค Machine Learning-Based High-Dimensional Respiratory Motion Modeling
    ๐Ÿ“˜ Expert Systems with Applications, 2024, 242: 122757


  • ๐ŸŽฎ VR Simulation for Needle Insertion
    Zhou Z., Yang Z., Jiang S., Jiang B., Xu B., Zhu T., Ma S.
    โžค Personalized VR Training System for Percutaneous Needle Insertion: zSpace vs. Vive
    ๐Ÿ“˜ Computers in Biology and Medicine, 2022, 146: 105585


  • ๐Ÿง  AR for Glioma Resection
    Zhou Z., Yang Z., Jiang S., Zhuo J., Zhu T., Ma S.
    โžค Augmented Reality Surgical Navigation System with Spatial Drift Compensation
    ๐Ÿ“˜ Medical Physics, 2022, 49(6): 3963โ€“3979


  • ๐Ÿงฉ Mixed Reality in Hemorrhage Surgery
    Zhou Z., Yang Z., Jiang S., Zhuo J., Li Y., Zhu T.
    โžค Validation of MR-based Navigation System for Hypertensive Intracerebral Hemorrhage
    ๐Ÿ“˜ Virtual Reality, 2023, 27(3): 2059โ€“2071


  • ๐Ÿงฌ Multimodal Image Navigation
    Zhou Z., Yang Z., Jiang S., Zhuo J., Zhu T., Ma S., Li Y.
    โžค Navigation System for Neurosurgery Based on Mixed Reality
    ๐Ÿ“˜ Visual Informatics, 2023, 7(2): 64โ€“71


  • ๐Ÿง  MR Surgical Navigation for Hemorrhage
    Zhou Z., Yang Z., Jiang S., Zhuo J., Zhu T., Ma S.
    โžค Surgical Navigation for Intracerebral Hemorrhage Using Mixed Reality
    ๐Ÿ“˜ Journal of Digital Imaging, 2022, 35(6): 1530โ€“1543


  • ๐ŸŽฏ Brachytherapy Planning with DVH
    Zhou Z., Yang Z., Jiang S., Yu X., Qi E., Li Y., Zhu T.
    โžค DVH-Based Inverse Planning for LDR Pancreatic Brachytherapy
    ๐Ÿ“˜ International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2022, 17(3): 609โ€“615


  • ๐Ÿ“ Stereo Registration in Brachytherapy
    Zhou Z., Jiang S., Yang Z., Xu B., Jiang B.
    โžค Mixed Reality Surgical Navigation Using Novel Stereo Registration for Brachytherapy
    ๐Ÿ“˜ Virtual Reality, 2021, 25(4): 975โ€“984


 

 

 

 

Huan Chen | Architecture | Best Researcher Award

Dr. Huan Chen | Architecture | Best Researcher Award

Phd student at Zhejiang University, China

Huan Chen is a dedicated researcher specializing in urban environmental studies, particularly focusing on urban ventilation corridors and urban heat island effects. With a strong academic foundation and a growing list of peer-reviewed publications, Chen has made notable contributions to understanding urban spatial patterns, heat risk prediction, and sustainable city planning. His research integrates environmental design, spatial analysis, and computational modeling to address the challenges of urbanization and ecological risk. Chen is currently pursuing advanced research at Zhejiang University under the supervision of Prof. Yang Jianjun.

Publication Profileย 

Scopus

Educational Background ๐ŸŽ“

  • 2022.09 โ€“ Present
    Zhejiang University
    College of Civil Engineering and Architecture
    Major: Architecture
    Research Focus: Urban environmental research
    Thesis: Research on Risk Prediction and Improvement Strategy of Urban Thermal Environment from the Perspective of Spatial Pattern

  • 2017.09 โ€“ 2020.06
    China University of Mining and Technology
    College of Architecture and Design
    Degree: Postgraduate in Landscape Design
    Achievements: Ranked No. 2 in major, No. 1 overall

  • 2013.09 โ€“ 2017.06
    Dalian University of Technology
    College of Architecture and Art
    Degree: Environmental Design (Undergraduate)

Professional Experience ๐Ÿ’ผ

  • Currently engaged in multiple research projects at Zhejiang University related to:

    • Urban heat risk prediction

    • Urban ventilation modeling

    • Spatio-temporal analysis of urban patterns

    • Sustainable city planning

  • Collaborated on high-level computational and spatial simulation studies, often as co-author and contributor in international journals and conferences.

Research Interests ๐Ÿ”ฌ

  • Urban environmental planning

  • Urban ventilation corridors

  • Urban heat island mitigation

  • Spatial pattern and risk modeling

  • Microclimate benefits of green infrastructure

  • Computational fluid dynamics in urban analysis

  • Dual-carbon strategies in urban ecosystems

Awards and Honors๐Ÿ†โœจ

Academic Scholarships & Achievements

  • National Scholarship

  • National Encouragement Scholarship

  • First-class Postgraduate Academic Scholarship

  • School Outstanding Student (2019)

  • School Outstanding Student Cadre (2014โ€“2016)

Professional Competitions

  • 1st Prize โ€“ 6th โ€œZijin Awardโ€ Architectural Design & Environmental Art Contest, 2019

  • 2nd Prize โ€“ National 3D Digital Innovation Design Competition (2016, 2018)

  • 3rd Prize โ€“ Zijin Award Xuzhou Division, Livable Village, 2018

  • 2nd Prize โ€“ Jiangsu Soil Architecture Association for Temporary Shelter Design, 2017

  • 2nd Prize โ€“ 10th Xuzhou Architectural Creation Award, 2017

  • National-level Innovation Training Program, 2016

Social & Extracurricular

  • Team Leader โ€“ National Enterprise Social Practice, 2014โ€“2015

  • Vice President โ€“ Student Union, 2019

  • President โ€“ College Self-Strengthening Association, 2015

  • National Outstanding Youth Volunteer, 2014

  • Recreational and Sports Scholarship (2014โ€“2015)

  • Multiple Social Practice Awards (2014โ€“2016)

Conclusion๐ŸŒŸ

Huan Chen stands out as a promising and impactful researcher in the field of urban environmental sustainability. His rigorous academic trajectory, coupled with active participation in cutting-edge research and commendable leadership in academic and extracurricular domains, position him as a valuable contributor to sustainable urban development. His multi-disciplinary expertise bridging architecture, environmental science, and spatial modeling suggests strong potential for future research leadership in smart and healthy city planning.

Publications ๐Ÿ“š

  1. ๐Ÿ“˜ Chen, H., Zheng, Y., Zhou, S. (2025)
    Urban planning priorities analysis based on urban heat risk supply-demand mismatch: A case study of Hangzhou, China
    ๐Ÿ“š Sustainable Cities and Society


  2. ๐ŸŒฌ๏ธ Wang, W., Chen, H., Lai, Y. (2024)
    Modeling airflow dynamics and their effects on PM2.5 concentrations in urban ventilation corridors of Hangzhou
    ๐Ÿ“š Science of The Total Environment, 957, 177794


  3. ๐ŸŒƒ Chen, H., Wang, B., Wang, W., Wang, S. (2023)
    Using Nighttime Light Data to Achieve Precise Estimation of Residents’ Living Carbon Emissions and Landscape Pattern Characteristics
    ๐ŸŽ“ International Conference on Green Building, Civil Engineering and Smart City (Springer, Singapore)


  4. ๐ŸŒฑ Wang, W., Chen, H., Cao, S., Wang, S. (2023)
    Analysis of Urban Dual-Carbon Targets and Countermeasures Based on GeoSOS-FLUS Simulationโ€”A Case of Hangzhou City
    ๐ŸŽ“ International Conference on Green Building, Civil Engineering and Smart City (Springer, Singapore)


  5. ๐ŸŒŠ Wang, W., Chen, H., Wang, S. (2022)
    Integrating multiple models into CFD for fine 3D simulation of urban waterfront wind environments: A case study in Hangzhou
    ๐Ÿ“š Sustainable Cities and Society, 85, 104088


  6. โšก Wang, W., Li, X., Mao, D., Chen, H., Wang, S. (2022)
    Spatio-temporal Characteristics of Carbon Emissions from Energy Consumption in the Yangtze River Delta
    ๐Ÿ“š International Journal of Environmental Research and Public Health, 19(15), 9483


  7. ๐ŸŒฌ๏ธ Wang, W., Wang, D., Chen, H., Wang, B., Chen, X. (2022)
    Identifying urban ventilation corridors through quantitative analysis of ventilation potential and wind characteristics
    ๐Ÿ™๏ธ Building and Environment, 214


  8. ๐Ÿฝ๏ธ Wang, W., Wang, S., Chen, H. (2022)
    Characteristics and Spatial Pattern of the Catering Industry in Four Central Cities of the Yangtze River Delta
    ๐Ÿ“ International Journal of Geo-Information, 11(6), 321


  9. ๐ŸŒก๏ธ Zhou, H., Chen, H., Wu, Y., Zha, J., Sun, J., Hu, D., Luo, P. (2019)
    Horizontal heat impacts of a building on various soil layer depths in Beijing
    ๐ŸŒ Sustainability, 11(7), 1979


  10. ๐ŸŒณ Chen, H., Sun, J.
    Research on Microclimate Benefit of Urban Green Land
    (Upcoming)


  11. ๐Ÿ™๏ธ Chen, H., Guo, F.*
    Research Progress on the Correlation between Urban Morphology and Urban Ventilation
    (Upcoming)


  12. ๐ŸŒก๏ธ Chen, H., Yang, J.*
    Risk Prediction and Improvement Strategy of Urban Thermal Environmentโ€”Capital Cities of the Yangtze River Economic Belt
    (Upcoming)


 

 

 

 

 

Hamid Khodaei | Functional Analysis | Best Researcher Award

Assoc. Prof. Dr. Hamid Khodaei | Functional Analysis | Best Researcher Award

Associate Professor at Malayer University, Iran

Hamid Khodaei is an established Iranian mathematician currently serving as an Associate Professor of Mathematics at Malayer University, Iran. With over a decade of academic experience, he has made significant contributions in the fields of functional equations, stability theory, Banach algebras, and set-valued analysis. Dr. Khodaei is recognized nationally for his research productivity and scholarly excellence, with a broad portfolio of peer-reviewed publications in reputed international journals.

Publication Profileย 

Scopus

Orcid

Educational Background ๐ŸŽ“

  • Ph.D. in Mathematics
    Semnan University, Semnan, Iran
    (Field: Functional Analysis, Stability Theory)

  • M.Sc. in Mathematics
    Semnan University, Semnan, Iran

Professional Experience ๐Ÿ’ผ

  • Associate Professor of Mathematics
    University of Malayer, Malayer, Iran
    (Dates not specified, but currently active)

Research Interests ๐Ÿ”ฌ

Dr. Khodaei’s research interests are deeply rooted in abstract and applied mathematics, particularly:

  • Functional equations and their stability

  • Banach algebras and C*-algebras

  • Non-Archimedean analysis

  • Set-valued analysis and fixed point theory

  • Approximate and hyperstability of mathematical mappings

  • Convex analysis and fuzzy normed spaces

Awards and Honors๐Ÿ†โœจ

  • Distinguished Researcher, Malayer University, 2020
    Awarded for excellence and productivity in mathematical research.

Memberships and Academic Service

  • Reviewer, Mathematical Reviews, American Mathematical Society (USA)

  • Member, Semnan University Center of Excellence in Nonlinear Analysis and Applications, Iran

Scholarly Output

  • 36+ peer-reviewed publications, including recent works in:

    • Acta Mathematica Scientia

    • Results in Mathematics

    • Revista de la Real Academia de Ciencias Exactas

    • Journal of Mathematical Analysis and Applications

    • Bulletin of the Iranian Mathematical Society

    • Mediterranean Journal of Mathematics

His work spans topics such as Jordan derivations, functional inequalities, Eulerโ€“Lagrange equations, and fuzzy systems. He has consistently published in high-impact journals since 2009, demonstrating scholarly continuity and depth.

Conclusion๐ŸŒŸ

Assoc. Prof. Dr. Hamid Khodaei stands out as a prolific and influential researcher in mathematical analysis, particularly in functional equations and stability theory. His strong academic background, consistent research contributions, national recognition, and active role in the academic community underscore his position as a leading figure in his field. He would be a strong candidate for recognition and further academic honors.

Publications ๐Ÿ“š

  1. ๐Ÿงฎ On approximately skew derivations
    Rendiconti del Circolo Matematico di Palermo Series 2, June 2025
    ๐Ÿ”— DOI: 10.1007/s12215-025-01227-3
    ๐Ÿ‘ฅ Authors: Hamid Khodaei, Mehdi Rostami, Ahmad Alinejad


  2. ๐Ÿ“ Perturbations of a system of general functional equations in several variables
    Bulletin des Sciences Mathรฉmatiques, June 2025
    ๐Ÿ”— DOI: 10.1016/j.bulsci.2025.103624
    ๐Ÿ‘ค Author: Hamid Khodaei


  3. ๐Ÿง  Functional inequalities, isomorphisms and derivations on Banach algebras
    Acta Mathematica Scientia, February 2025
    ๐Ÿ”— DOI: 10.1007/s10473-025-0307-3
    ๐Ÿ‘ค Author: Hamid Khodaei


  4. ๐ŸŒ€ Set-valued dynamics related to convex-valued m-mappings
    Aequationes Mathematicae, July 2024
    ๐Ÿ”— DOI: 10.1007/s00010-024-01103-y
    ๐Ÿ‘ค Author: Hamid Khodaei


  5. ๐Ÿ” AMHNMH, AMNM and ADND Pairs
    Results in Mathematics, March 2024
    ๐Ÿ”— DOI: 10.1007/s00025-023-02105-z
    ๐Ÿ‘ฅ Authors: Bahman Hayati, Hamid Khodaei


  6. ๐Ÿ”ƒ On triple ฮธ-centralizers
    International Journal of Nonlinear Analysis and Applications, January 2024
    ๐Ÿ”— DOI: 10.22075/ijnaa.2023.30207.4365
    ๐Ÿ‘ฅ Authors: Bahman Hayati, Hamid Khodaei


  7. ๐Ÿ”ฅ Heat Kernel Method for Quintic and Sextic Equations in Distributions and Hyperfunctions
    Qualitative Theory of Dynamical Systems, June 2023
    ๐Ÿ”— DOI: 10.1007/s12346-023-00737-8
    ๐Ÿ‘ฅ Authors: Mina Miahi, Farshid Mirzaee, Hamid Khodaei


  8. ๐Ÿ“Š On n-Jordan derivations in the sense of Herstein
    Revista RACSAM, April 2023
    ๐Ÿ”— DOI: 10.1007/s13398-023-01419-5
    ๐Ÿ‘ฅ Authors: Mehdi Rostami, Ahmad Alinejad, Hamid Khodaei


  9. ๐Ÿงฎ Generalized n-Derivations in Non-Archimedean Banach Algebras
    Thai Journal of Mathematics, March 2022
    ๐Ÿ‘ค Author: Hamid Khodaei


  10. ๐Ÿ“˜ A Functional Equation Related to Inner Product Spaces in ล erstnev Probabilistic Normed Spaces
    Series on Computers and Operations Research, August 2024
    ๐Ÿ”— DOI: 10.1142/9789811267048_0002
    ๐Ÿ‘ฅ Authors: Ahmad Alinejad, Hamid Khodaei, Michael Th. Rassias, Hamid Vosoughian


 

 

 

 

Jiarun Wu | Psychology | Best Researcher Award

Dr. Jiarun Wu | Psychology | Best Researcher Award

Lecturer at Guizhou university of traditional Chinese medicine, China

Dr. Jiarun Wu is a dedicated and emerging scholar in the field of sports science, with a strong focus on exercise physiology, sports nutrition, and mental health in adolescents. Currently pursuing his Ph.D. at Universiti Sains Malaysia, Dr. Wu has demonstrated exceptional research productivity through his involvement in numerous interdisciplinary studies. His scholarly work primarily explores the impact of physical activity on psychological well-being, especially during the COVID-19 pandemic. He has published in several high-impact, peer-reviewed journals and contributed to academic books indexed in Scopus. Dr. Wuโ€™s collaborative spirit and cross-cultural research efforts have earned him respect in both Chinese and international academic communities. His work reflects a deep commitment to promoting health and wellness through evidence-based sports science. With several projects either completed or in review, he is steadily building a research portfolio that bridges physical education, public health, and youth development. Dr. Wu combines academic rigor with a passion for social relevance, making him a notable early-career researcher. His achievements underscore his readiness to contribute to both the scholarly community and practical sports interventions, particularly in addressing mental resilience in school-aged youth through innovative physical education methods.

Publication Profileย 

Education

Dr. Wu Jiarunโ€™s educational journey is marked by consistent excellence and a clear focus on sports science and human movement. He earned his Bachelorโ€™s degree in Physical Education from Hainan Normal University in 2014, where he laid the foundation for his academic and professional pursuits in physical fitness and education. Motivated to deepen his expertise, he continued at the same university to pursue a Masterโ€™s degree in Human Movement Science, which he completed in 2017. His postgraduate studies emphasized biomechanics, exercise rehabilitation, and psychological assessment in sports. In 2021, Dr. Wu began his Ph.D. studies in Sports Science at Universiti Sains Malaysia, one of Southeast Asiaโ€™s leading research institutions. His doctoral work focuses on the psychometric assessment of mental resilience and physical literacy in adolescents, particularly in post-COVID-19 contexts. His academic path reflects a continuous and strategic progression toward advanced expertise in exercise science, combining Eastern traditional perspectives with global scientific methodologies. Through each educational phase, Dr. Wu has developed a deep theoretical knowledge base and practical research skills, which now form the backbone of his scholarly identity. His academic record exemplifies commitment, intellectual curiosity, and international engagement in his field.

Professional Experience

Dr. Wu began his academic career in 2017 as a Lecturer at the School of Physical Education and Health, Guizhou University of Traditional Chinese Medicine in China. In this role, he has been actively involved in teaching undergraduate students, developing course materials related to physical fitness testing, and conducting collaborative research projects. His role at the university has allowed him to engage in both teaching and applied research, particularly in exercise physiology and rehabilitation. He has played a key role in integrating modern sports science with traditional Chinese medicine approaches, promoting a more holistic view of health and movement. His current doctoral training at Universiti Sains Malaysia further enriches his international exposure, while still maintaining his academic responsibilities in China. Dr. Wuโ€™s dual affiliation between China and Malaysia reflects a strong commitment to academic networking and interdisciplinary knowledge exchange. Beyond teaching, he has contributed to research capacity building through participation in institutional and provincial-level grant projects. His professional background showcases not only his ability to conduct rigorous research but also to translate those findings into meaningful educational and community-based initiatives. His balanced experience in academia and applied research strengthens his profile as a multifaceted sports science professional.

Research Interest

Dr. Wuโ€™s primary research interests lie at the intersection of exercise rehabilitation, sports psychology, physical literacy, and mental resilience, with a special emphasis on youth populations. He has a particular passion for understanding how physical activity influences mental toughness, emotional well-being, and stress regulation, especially in response to disruptions such as the COVID-19 pandemic. His recent studies have explored topics such as the validation of psychometric tools for assessing mental energy and emotional states among school-aged adolescents, and the use of sports games and music integration to mitigate anxiety and depression. These interests are guided by a broader objective: to promote healthy active lifestyles and support mental health through physical education and structured interventions. Dr. Wu is also engaged in research on sports nutrition and nutrient intake assessment, particularly for athletes and adolescents undergoing physical training. His interdisciplinary research spans psychology, kinesiology, and public health, addressing urgent social issues such as adolescent mental well-being and post-pandemic recovery. Through his work, Dr. Wu aims to contribute to the development of effective strategies that can be implemented in schools and sports institutions, thereby improving the physical and psychological development of young populations.

Research Skills

Dr. Wu possesses a diverse set of research skills that encompass quantitative data analysis, psychometric scale validation, experimental design, and systematic literature reviews. His training has enabled him to design and execute complex randomized controlled trials (RCTs), particularly examining interventions such as music-integrated sports games for improving mental toughness. He has demonstrated strong proficiency in using statistical tools such as SPSS, AMOS, and structural equation modeling (SEM) to analyze behavioral and psychological data. One of his key competencies is the development and validation of measurement instruments for mental resilience, emotional states, and physical literacy. He is skilled in conducting cross-cultural studies, involving adolescent populations in different Chinese provinces, with applications in educational and public health contexts. Dr. Wu also excels in systematic and meta-analytic review methods, as evidenced by his published work synthesizing global data on anxiety and physical activity during the pandemic. Furthermore, he is well-versed in grant writing and proposal development, having secured multiple research grants at both university and national levels. His comprehensive skill set allows him to approach sports science from both theoretical and applied perspectives, making his research both methodologically sound and socially impactful.

Awards and Honors

Dr. Wu has been recognized with several prestigious academic awards and competitive research grants throughout his academic journey, reflecting his scholarly dedication and research potential. Notably, he was awarded the China National Postgraduate Scholarship, a merit-based award granted to outstanding graduate students across the country. In addition, he has been a recipient of research funding from the Guizhou University of Traditional Chinese Medicine, enabling him to pursue innovative research projects in exercise rehabilitation and mental health. Dr. Wu also received support from the Social Sciences and Humanities Research Grant at the University of Guizhou, as well as from the Chinese Ministry of Educationโ€™s Philosophy and Social Science Research Program. These honors not only demonstrate the trust his institutions place in his capabilities but also highlight his ability to secure funding for impactful, socially relevant studies. His projects have contributed to national discussions on adolescent health and the role of physical education in psychological development. As his career progresses, these recognitions mark the beginning of what is likely to be a distinguished trajectory in academic research and policy influence within the fields of sports science and health promotion.

Conclusion๐ŸŒŸ

Dr. Wu Jiarun is a promising early-career researcher with a strong portfolio of peer-reviewed publications in reputable journals, relevant interdisciplinary themes (mental health, sports science), and international academic collaboration. These attributes make him a competitive candidate for emerging researcher or young investigator awards.

However, for a Best Researcher Award (general category), which typically honors sustained, high-impact research leadership over a longer period, Dr. Wu may be more suitable in 1โ€“3 years once citation metrics, independent PI roles, and additional research outcomes mature.

Publications ๐Ÿ“š

  • The impact of COVID-19 on studentsโ€™ anxiety and its clarification: a systematic review
    Year: 2023
    Citations: 18

  • Validation of the Athletic Mental Energy Scale for Chinese School-Age Adolescents
    Year: 2024
    Citations: 1

  • Examining the Relationship Between Physical Literacy and Resilience Against COVID-19-Induced Negative Mental States in Chinese Adolescents
    Year: 2024
    Citations: 1

  • Alleviating Adolescent Stress, Anxiety, and Fear Through Music and Sports Games During the COVID-19 Pandemic: A Randomized Controlled Trial
    Year: 2025

  • The Impact of Tai Chi Combined with Music-Assisted Intervention on Depression and Anxiety Among College Students
    Year: 2025

  • Psychometric Properties of the Chinese Version Physical Literacy Assessment Questionnaire Among High School Students in Gansu, China
    Year: 2025

  • Anxiety, Depression and Stress Impact of the COVID-19 Pandemic and Physical Activities: Systematic Review and Future
    Year: 2024

  • Physical Education and Sport Anxiety State Scale: Psychometric Properties of the Chinese Version
    Year: 2024

  • A Feasibility Study on Using Sports Games to Enhance Mental Toughness of Chinese Adolescents
    Year: 2023

ร‡iฤŸdem CoลŸkun Dilcan | Environmental Science | Best Researcher Award

Dr. ร‡iฤŸdem CoลŸkun Dilcan | Environmental Science | Best Researcher Award

Instructor at Ankara University Water Management Institute, Turkey

Dr. ร‡iฤŸdem CoลŸkun Dilcan is a dynamic environmental engineer and researcher at Ankara Universityโ€™s Water Management Institute. With a strong foundation in environmental engineering and a passion for integrated water resources management, she has established herself in the emerging intersection of artificial intelligence, climate science, and water systems. Her research addresses pressing global issues, including water-energy-climate nexus, wastewater reuse, and reservoir evaporation forecasting. She actively participates in national and international scientific communities, contributing to research projects, conference organizations, and peer-reviewed publications. As a reviewer and invited speaker, she continues to influence the academic and practical realms of water management. Dr. Dilcanโ€™s unique ability to blend data-driven modeling with real-world environmental challenges has earned her recognition, including awards from TรœBฤฐTAK and COST Action. She exemplifies the new generation of interdisciplinary researchers driving sustainability and innovation in environmental systems. ๐ŸŒ๐Ÿ’ง๐Ÿ“Š

Publication Profileย 

๐ŸŽ“ Education

Dr. ร‡iฤŸdem CoลŸkun Dilcan pursued her entire academic journey in environmental engineering. She earned her B.Sc. (2009) and M.Sc. (2012) from Dokuz Eylรผl University, specializing in environmental systems analysis. Her growing interest in advanced modeling and sustainability led her to Hacettepe University, where she completed her Ph.D. in 2023, focusing on the use of artificial intelligence in water resources management. Her doctoral research integrated modern computational methods with environmental system analysis, reflecting her commitment to innovative approaches for addressing global environmental challenges. Her educational path combines a solid technical base with an advanced skillset in predictive modeling, climate adaptation strategies, and sustainable water solutions. This academic background underpins her current work and fuels her ongoing research in climate-resilient water technologies. ๐ŸŽ“๐Ÿ“š๐Ÿ’ก

๐Ÿ‘ฉโ€๐Ÿ’ผ Professional Experience

Dr. Dilcan began her professional journey as a Specialist at Ankara Universityโ€™s Water Management Institute (2013โ€“2018), where she contributed to various national water projects and policy-related research. In 2018, she was promoted to Instructor, a role that combines teaching, applied research, and academic leadership. She has also acted as a consultant on projects related to industrial wastewater treatment and has developed strategic water management frameworks for the defense and agricultural sectors. Additionally, Dr. Dilcan has been involved in organizing and leading national and international scientific conferences and training sessions, making her a recognized contributor to Turkey’s water research and education landscape. Her experience spans technical expertise, interdisciplinary research collaboration, and policy advisory roles, placing her at the forefront of environmental engineering practice in academia and beyond. ๐Ÿข๐Ÿ”ฌ๐ŸŒ

๐Ÿ”ฌ Research Interests

Dr. ร‡iฤŸdem CoลŸkun Dilcanโ€™s research lies at the crossroads of sustainability, environmental modeling, and artificial intelligence. Her core interests include water-energy-climate nexus modeling, reservoir evaporation forecasting, urban water system resilience, and climate change adaptation in water management. She explores how advanced computational toolsโ€”like artificial neural networksโ€”can enhance predictive capabilities in environmental systems. She is particularly invested in sludge disintegration, wastewater reuse, and energy recovery via anaerobic digestion, demonstrating a systems-level approach to circular water and waste management. By addressing real-world challenges through integrated models, her work supports sustainable decision-making under uncertainty. Her evolving research direction strongly aligns with the global shift toward data-driven environmental engineering, climate-resilient infrastructure, and sustainable development goals. ๐Ÿ”„๐ŸŒฆ๏ธ๐Ÿง 

๐Ÿง  Research Skills

Dr. Dilcan possesses a versatile set of research skills that blend technical proficiency with scientific communication. She is an expert in artificial neural networks (ANNs), machine learning algorithms, and MATLAB-based modeling for environmental systems. Her skills in data analysis, water quality modeling, and climate scenario forecasting equip her to handle complex environmental datasets and produce actionable insights. She is also skilled in proposal writing, project coordination, and academic publishing, with experience in both national and international multi-institutional research teams. Furthermore, she regularly delivers technical seminars and training sessions, underlining her ability to translate research into education and policy. Her strength lies in connecting modeling techniques with applied environmental solutions, making her a critical thinker and impactful researcher. ๐Ÿ“Š๐Ÿ”๐Ÿ’ป

๐Ÿ… Awards and Honors

Dr. ร‡iฤŸdem CoลŸkun Dilcan has been recognized for her excellence in interdisciplinary research and contributions to environmental science. In 2023, she received the prestigious TรœBฤฐTAK UBYT Incentive Award for her international publications on climate-based water modeling. That same year, she was awarded the Inclusive Target Countries Grant by COST Action CA20138 for her novel methodology on powerplant water consumption prediction, presented at the EWRA 2023 Congress in Greece. She has also been invited to serve on scientific committees, including the MDST2024 Conference and the Environmental Education Congress 2025, demonstrating her leadership in academic communities. Her work as a reviewer for international journals like Water Resources Management further showcases her peer recognition. These accolades reflect both the scientific quality and the societal relevance of her research. ๐Ÿ†๐Ÿ“ข๐ŸŒŸ

Conclusion๐ŸŒŸ

ร‡iฤŸdem CoลŸkun Dilcan is a highly promising, emerging researcher with a multidisciplinary focus on sustainable water resource management, artificial intelligence, and climate-related challenges. Her active publication record, project involvement, and professional contributions make her a strong candidate for early-career or emerging researcher awards.

For Best Researcher Award (if it targets mid- to senior-level academics), she is borderline-eligible but still competitive, especially given her recent Ph.D., impactful research themes, and increasing leadership in scientific events.

Publications ๐Ÿ“š

  • Ahi, Y., CoลŸkun Dilcan, ร‡., Kรถksal, D.D., GรผltaลŸ, H.T. (2023)
    Reservoir evaporation forecasting based on climate change scenarios using artificial neural network model
    Water Resources Management 37 (6), 2607โ€“2624
    Cited by: 23

  • Dilcan, ร‡.C., ร‡apar, G., Korkmaz, A., ฤฐritaลŸ, ร–., Karaaslan, Y., Selek, B. (2018)
    ฤฐรงme suyu ลŸebekelerinde gรถrรผlen su kayฤฑplarฤฑnฤฑn dรผnyada ve รผlkemizdeki durumu
    Anahtar Dergisi 354, 10โ€“18
    Cited by: 18

  • ร‡apar, G., Dilcan, ร‡.C., AkลŸit, C., Arslan, ลž., ร‡elik, M., Kodal, S. (2016)
    Evaluation of irrigation water quality in GรถlbaลŸฤฑ District
    Journal of Agricultural Sciences 22 (3), 408โ€“421
    Cited by: 8

  • Coskun Dilcan, C., Aydinalp Koksal, M. (2024)
    A novel modeling approach on the waterโ€“electricityโ€“climate nexus in the context of resource sustainability
    Clean Technologies and Environmental Policy
    Cited by: 3

  • ร‡apar, G., CoลŸkun, ร‡., Arslan, ลž. (2020)
    Assessment of livestock drinking water quality: A case study in a special environmental protection area
    Erciyes รœniversitesi Fen Bilimleri Enstitรผsรผ Dergisi 36 (1), 61โ€“75
    Cited by: 2

  • Dilcan, C.C., Koksal, M.A. (2025)
    A novel approach to resource management within the water-electricity-climate nexus perspective
    Science of The Total Environment 991, 179921

  • CoลŸkun Dilcan, ร‡., ร–zgenรง, E., Ahi, Y. (2025)
    Methods and Techniques for Microplastic Detection and Identification in Water and Wastewaterโ€”A Methodology Review
    In: Microplastics in Wastewater, Springer

  • ร‡apar, G., CoลŸkun Dilcan, ร‡., Arslan, ลž., AkลŸit, C., ร‡elik, M., Kodal, S., YetiลŸ, รœ. (2017)
    GรถlbaลŸฤฑ ร–zel ร‡evre Koruma Bรถlgesinde Yeraltฤฑ Suyu Kalitesinin DeฤŸerlendirilmesi
    International Congress Proceedings

  • CoลŸkun, ร‡. (2012)
    Mesophilic anaerobic digestibility of pre-treated sludges
    PQDT-Global (Thesis/Dissertation)

Hongbo Cai | Digital Economics | Best Researcher Award

Prof. Hongbo Cai | Digital Economics | Best Researcher Award

Director at Financial office of Beijing Normal University, China

Prof. Hongbo Cai is a distinguished economist and academic leader at Beijing Normal University, serving as a Professor at the Business School and holding key administrative roles including Director of the Financial Office and former Vice Dean. With a rich academic background and extensive research contributions, Prof. Caiโ€™s work spans international trade, labor and environmental economics, and digital economic transformation. His scholarly output includes publications in top-tier international journals and leading Chinese academic outlets, alongside leadership in major national research projects.

Publication Profileย 

Scopus

Educational Background ๐ŸŽ“

  • Ph.D. in Economics
    Xiamen University, Xiamen, China
    September 2004 โ€“ June 2009

  • Bachelor of Arts in Economics
    Fuzhou University, Fuzhou, China
    September 2000 โ€“ July 2004

Professional Experience ๐Ÿ’ผ

  • Director, Financial Office, Beijing Normal University
    December 2023 โ€“ Present

  • Vice Dean, Business School, Beijing Normal University
    July 2019 โ€“ April 2024

  • Professor, Business School, Beijing Normal University
    August 2018 โ€“ Present

  • Associate Professor, Business School, Beijing Normal University
    August 2013 โ€“ July 2018

  • Assistant Professor, Business School, Beijing Normal University
    August 2009 โ€“ July 2013

Research Interests ๐Ÿ”ฌ

  • International Trade

  • Digital Economics

  • Labour Economics

  • Environmental Economics

Research Projects and Grants

Prof. Cai has been Principal Investigator (PI) on several national-level funded research projects, including:

  • Major Project, China National Social Science Foundation (21&ZD086)
    2022โ€“2024

  • China National Science Foundation Projects
    2022โ€“2024 (72073013)
    2018โ€“2022 (71773007)
    2015โ€“2017 (71403024)

Awards and Honors๐Ÿ†โœจ

  • Leadership of major national research grants from Chinaโ€™s top academic funding bodies indicates high recognition in the academic community.

  • Multiple publications in top Chinese economic journals such as ็ปๆตŽ็ ”็ฉถ, ็ฎก็†ไธ–็•Œ, and ไธญๅ›ฝๅทฅไธš็ปๆตŽ highlight scholarly prestige.

  • Appointment to senior roles including Vice Dean and Director of Financial Office demonstrates institutional recognition and trust.

Conclusion๐ŸŒŸ

Prof. Hongbo Cai is a highly accomplished economist whose academic, administrative, and research excellence makes him a leading figure in Chinaโ€™s economics research community. His scholarship is not only academically rigorous but also policy-relevant, addressing vital issues such as digital transformation, labor dynamics, environmental sustainability, and trade. With extensive national funding, influential publications, and leadership experience, Prof. Cai is well-positioned for academic awards, policy advisory roles, and future scholarly impact.

Publications ๐Ÿ“š

๐Ÿงณ Migrants and exports: Decomposing the link
๐Ÿ“˜ Journal of World Business, 56(2), 101166, 2021.
๐Ÿ‘ฅ Co-authors: Meng, Y. & Chakraborty, S.


๐Ÿข Employee Ownership and Firm Digital Transformation
๐Ÿ“˜ British Journal of Management, 2024.
๐Ÿ‘ฅ Co-authors: Dong, M., Choi, Y., Ma, P., & Cui, L.


๐Ÿ’ผ Competition in the Labor Market: The Wage Effect of Employer Concentration in China
๐Ÿ“˜ Industrial Relations: A Journal of Economy and Society, 2024.
๐Ÿ‘ฅ Co-authors: Liu, J., Carl Lin.


๐Ÿ™๏ธ Administrative Division Adjustment and Environmental Pollution: Evidence from City-County Mergers in China
๐Ÿ“˜ China Economic Review, 84, 102141, 2024.
๐Ÿ‘ฅ Co-authors: Ma, H., Zou, J., Zhang, L.


๐ŸŒฑ Unveiling the Green Path: How Urban Openness Reduces Pollution
๐Ÿ“˜ Journal of Environmental Management, 370, 122378, 2024.
๐Ÿ‘ฅ Co-authors: Zhong, C., Liu, L., Xue, R., Shan, Y.


๐Ÿ˜๏ธ Capitalization of Social Infrastructure into Housing Values
๐Ÿ“˜ Economic Modelling, 107, 105706, 2022.
๐Ÿ‘ฅ Co-authors: Ouyang, Y., Yu, X., Li, Z.


๐Ÿ”„ Are We in a Deโ€Globalization Process? Evidence from Global Trade (2007โ€“2017)
๐Ÿ“˜ Global Challenges, 5(8), 2000096, 2021.
๐Ÿ‘ฅ Co-authors: Li, X., Shen, C., Chen, Q.


๐Ÿ’ก Tax Incentives and Heterogeneous Innovation in Enterprises
๐Ÿ“˜ Economic Research Journal, 2025.
๐Ÿ‘ฅ Co-authors: Tang Chengjian, Mao Jian.


๐Ÿ“ฆ Application of Digital Technology and Export Performance of Enterprises โ€” A Case Study of Enterprises in Zhongguancun National Innovation Demonstration Zone
๐Ÿ“˜ Management World, 2024.
๐Ÿ‘ฅ Co-author: Han Jinyong.


๐Ÿ”— Tax Incentives, Supply Chain Spillovers, and Digital Transformation
๐Ÿ“˜ Economic Research Journal, 2023.
๐Ÿ‘ฅ Co-authors: Tang Chengjian, Han Jinyong.


๐ŸŒ How Does the “Belt and Road” Initiative Promote Trade Development in Ethnic Minority Regions? โ€” A Complex Network Perspective
๐Ÿ“˜ Management World, 2021.
๐Ÿ‘ฅ Co-authors: Ti Huiying, Lei Cong.


๐Ÿ‘ด Population Aging and the Transformation of Urban Export Trade
๐Ÿ“˜ China Industrial Economics, 2022.
๐Ÿ‘ฅ Co-author: Han Jinyong.


๐Ÿฆ Tax Avoidance Motives, Mechanisms, and Scale of Chinese Enterprisesโ€™ Outward Foreign Direct Investment: Theory and Evidence
๐Ÿ“˜ The Journal of World Economy, 2022.
๐Ÿ‘ฅ Co-authors: Ouyang Yanyan, Li Zijian.


๐Ÿšš The Emission Reduction Effect of Enterprise Relocation โ€” Also on the “Pollution Haven Hypothesis” and the “Porter Hypothesis”
๐Ÿ“˜ Economic Perspectives, 2022.
๐Ÿ‘ฅ Co-authors: Han Jinyong, Zhong Tenglong.


๐Ÿ›ฃ๏ธ Transportation Infrastructure Upgrades and the Location Choices of Polluting Enterprises
๐Ÿ“˜ China Industrial Economics, 2021.
๐Ÿ‘ฅ Co-authors: Zhong Chao, Han Jinyong.


๐Ÿฆ The Establishment of Urban Commercial Banks and the Formation of Zombie Enterprises
๐Ÿ“˜ China Industrial Economics, 2020.
๐Ÿ‘ฅ Co-authors: Song Yanfei, Ma Hongqi.


 

 

 

 

 

Meysam Moravedji | Zoonoses | Outstanding Scientist Award

Dr. Meysam Moravedji | Zoonoses | Outstanding Scientist Award

Veterinarian Researcher at Islamic Azad University, Sanandaj Branch, Sanandaj, Iran

Dr. Meysam Moravedji is an experienced veterinary internist specializing in large animal medicine, with a particular focus on equine and ruminant health. He serves as an Assistant Professor at the Faculty of Veterinary Medicine, Islamic Azad University, Sanandaj Branch, Iran. With over 15 years of academic, clinical, and research experience, he has made significant contributions to veterinary education, large animal clinical services, zoonotic disease research, and rural animal health outreach. He has actively collaborated with major scientific institutions such as the Pasteur Institute of Iran and the Razi Vaccine and Serum Research Institute.

Publication Profileย 

Scopus

Google Scholar

Educational Background ๐ŸŽ“

  • DVSc in Large Animal Internal Medicine
    Shahid Chamran University of Ahvaz, Iran โ€“ 2013

  • DVM (Doctor of Veterinary Medicine)
    Islamic Azad University, Karaj Branch, Iran โ€“ 2007

Professional Experience ๐Ÿ’ผ

  • Assistant Professor, Dept. of Clinical Sciences, Faculty of Veterinary Medicine, Islamic Azad University, Sanandaj Branch (2010โ€“Present)

  • Head, Large Animal Clinic (2023โ€“2024)

  • Director, Mobile Veterinary Clinic (2021โ€“Present)

  • Veterinary Health Officer, Faculty Farms (2017โ€“2018)

  • Member, Faculty Research Council (2017โ€“2018, 2020โ€“2021)

  • University Graduate Studies Representative (2017โ€“2018)

  • Permanent Member, Specialized Council, Clinical Sciences Department (2010โ€“Present)

  • Lecturer, Continuing Education Programs for Veterinary Councils in multiple provinces

  • Owner and Part-time Veterinary Practitioner, Large Animal Clinic, Sanandaj (2020โ€“Present)

  • Project Collaborator, Pasteur Institute of Iran and Razi Institute

Research Interests ๐Ÿ”ฌ

  • Zoonotic Diseases and Public Health

  • Large Animal Internal Medicine

  • Equine Medicine: colic, cardiology, ophthalmology

  • Emerging and Re-emerging Infectious Diseases

  • Tick-Borne Diseases

  • Fluid Therapy in Large Animals

  • Animal Modeling for Equine Digestive Disorders

  • Veterinary Clinical Sciences and Biosecurity

Awards and Honors๐Ÿ†โœจ

  • Head, Horse Medicine Panel, 4th Iranian Congress of Companion Animal Medicine (2025)

  • Organizer, Joint Scientific Meeting with Pasteur Institute and Razi Institute (2024)

  • Keynote Speaker, Iranian Congress of Companion Animal Medicine

  • Recognized for community service to rural and underprivileged farmers

Professional Services and Engagements

  • Peer Reviewer for:

    • BMC Veterinary Research

    • International Journal of Veterinary Science and Research

    • Iranian Journal of Veterinary Clinical Sciences

    • Journal of Large Animal Clinical Science Research

  • Symposium Organizer and Speaker:

    • Iranian Congress of Companion Animal Medicine

    • Scientific Meetings with national research institutes

  • Community Outreach:

    • Free veterinary care for farmers in Kurdistan Province

    • Educational workshops for rural livestock owners

    • Veterinary consulting for Eram Zoo (Tehran)

Conclusion๐ŸŒŸ

Dr. Meysam Moravedji exemplifies an outstanding veterinary academic and practitioner with an exceptional record of clinical service, teaching, and research in large animal internal medicine. His extensive contributions to equine health, zoonotic disease research, and rural veterinary service have had meaningful impacts at institutional and community levels. He is a strong candidate for recognition in scientific and professional award platforms, particularly those honoring contributions in veterinary medicine, public health, and translational animal research. Future endeavors could include expanding his international research collaborations and further publications in high-impact veterinary journals.

Publications ๐Ÿ“š

  • ๐Ÿ“„ Molecular detection, epidemiology and phylogenetic evaluation of Babesia ovis in apparently healthy goats
    ๐Ÿงฌ FI Asia Taqddus, Muhammad Naeem, Hira Muqaddas, Ceylan Ceylan, Onur Ceylan, …
    ๐Ÿ›๏ธ Research in Veterinary Science, 191, 105672.


  • ๐Ÿ“„ Detection of Various Rickettsial Species in Ticks Collected from Small Ruminants in Western Iran
    ๐Ÿงช M Moravedji, M Latifian, M Rahravani, E Mostafavi, H Seyfi, …
    ๐Ÿ›๏ธ Vector-Borne and Zoonotic Diseases, 24(11), 730โ€“737.


  • ๐Ÿ“„ Determination of seroprevalence of brucellosis in livestock and high-risk population in Kurdistan, Western Iran
    ๐Ÿงซ S Aghamohammad, M Rastin, E Mostafavi, AH Anaraki, M Rahravani, …
    ๐Ÿ›๏ธ Comparative Immunology, Microbiology and Infectious Diseases, 93, 101942.
    ๐Ÿ”ข Cited by: 7


  • ๐Ÿ“„ Clinical, hematological and molecular evaluation of piroplasma and Anaplasma infections in small ruminants and tick vectors from Kurdistan province, western Iran
    ๐Ÿ‘ M Rahravani, M Moravedji, E Mostafavi, MM Mozoun, AH Zeeyaie, …
    ๐Ÿ›๏ธ Research in Veterinary Science, 159, 44โ€“56.
    ๐Ÿ”ข Cited by: 4


  • ๐Ÿ“„ Molecular detection of Brucella abortus and Brucella melitensis in domestic ruminants and their ticks in selected areas of western Iran
    ๐Ÿ”ฌ M Moravedji, M Beig, N Baseri, M Rahravani, M Latifian, S Esmaeili
    ๐Ÿ›๏ธ Iranian Journal of Veterinary Research, 24(3), 270.
    ๐Ÿ”ข Cited by: 2


  • ๐Ÿ“„ The epidemiological survey of Coxiella burnetii in small ruminants and their ticks in western Iran
    ๐Ÿ M Rahravani, M Moravedji, E Mostafavi, M Mohammadi, H Seyfi, N Baseri, …
    ๐Ÿ›๏ธ BMC Veterinary Research, 18(1), 292.
    ๐Ÿ”ข Cited by: 28


  • ๐Ÿ“„ Molecular detection of Francisella tularensis in small ruminants and their ticks in western Iran
    ๐Ÿ”ฌ M Rahravani, M Moravedji, E Mostafavi, N Baseri, H Seyfi, M Mohammadi, …
    ๐Ÿ›๏ธ Comparative Immunology, Microbiology and Infectious Diseases, 83, 101779.
    ๐Ÿ”ข Cited by: 13


  • ๐Ÿ“„ Seroepidemiology of leptospirosis in livestock and workers of high-risk occupation in Kurdistan, Iran
    ๐Ÿ’‰ S Aghamohammad, AH Anaraki, M Rahravani, M Rastin, RA Sadaf, …
    ๐Ÿ›๏ธ Comparative Immunology, Microbiology and Infectious Diseases, 82, 101758.
    ๐Ÿ”ข Cited by: 3


  • ๐Ÿ“„ Francisella tularensis survey among ranchers and livestock in western Iran
    ๐Ÿ„ HA Cohan, M Jamshidian, M Rohani, M Moravedji, E Mostafavi
    ๐Ÿ›๏ธ Comparative Immunology, Microbiology and Infectious Diseases, 74, 101598.
    ๐Ÿ”ข Cited by: 6


  • ๐Ÿ“„ Study the impairments in clinical and microscopic diagnosis of theileriosis among small ruminant population in Kurdistan province
    ๐Ÿงช H Seifi, M Moravedji, S Esmaeili, E Mostafavi
    ๐Ÿ›๏ธ Journal of Large Animal Clinical Science Research (JLACSR), 9(1), 53โ€“66.


  • ๐Ÿ“„ Surveillance of Francisella tularensis in surface water of Kurdistan province, west of Iran
    ๐Ÿ’ง HA Cohan, M Jamshidian, M Rohani, M Moravedji, E Mostafavi
    ๐Ÿ›๏ธ Comparative Immunology, Microbiology and Infectious Diseases, 69, 101419.
    ๐Ÿ”ข Cited by: 5


  • ๐Ÿ“„ Investigation the Frequency of Pathological Lesions of Sheep Rumen in Sanandaj Slaughter
    ๐Ÿ‘ M Moravedji, L Akradi, M Khezai
    ๐Ÿ›๏ธ Journal of Veterinary Research


  • ๐Ÿ“„ Investigation of the frequency of pathological lesions of sheep rumen in Sanandaj slaughter
    ๐Ÿงซ H Khanbabaie, M Moravedji, L Akradi, M Khezri


  • ๐Ÿ“„ Survey of the Microscopic Prevalence of the Abomasal Ulcer Types in Slaughtered Sheep of Slaughter House of Sanandaj County
    ๐Ÿ” S Fathi, M Moravedji, L Akradi
    ๐Ÿ›๏ธ Journal of Large Animal Clinical Science Research (Journal of Veterinary …)


 

 

 

 

Temitayo Fagbola | Renewable Energy Prediction | Best Researcher Award

Dr. Temitayo Fagbola | Renewable Energy Prediction | Best Researcher Award

Lecturer at University of Hull, England, United Kingdom

Dr. Temitayo Matthew Fagbola is an internationally recognized academic and researcher in Artificial Intelligence (AI), currently a Teaching Fellow at the University of Hull, United Kingdom. His work centers around applied AI in healthcare, computer vision, natural language processing, and AI ethics. With a career spanning Nigeria, South Africa, and the UK, Dr. Fagbola has published widely on generative AI, semantic segmentation, medical image analysis, and ethical AI. He has also been involved in editorial roles and numerous technical committees, demonstrating leadership in both academic research and professional service.

Publication Profileย 

Google Scholar

Educational Background ๐ŸŽ“

  • Postgraduate Certificate in Academic Practice, University of Hull, UK (2023โ€“2024)

  • Ph.D. in Computer Science, Ladoke Akintola University of Technology, Nigeria (2012โ€“2015)

  • M.Sc. in Computer Science, University of Ibadan, Nigeria (2009โ€“2011)

  • B.Tech. (Hons.) in Computer Science, Ladoke Akintola University of Technology, Nigeria (2002โ€“2007)

Professional Experience ๐Ÿ’ผ

  • Teaching Fellow, Centre of Excellence in Data Science, AI and Modelling, University of Hull, UK (2022โ€“Present)

  • Senior Lecturer, Federal University Oye-Ekiti, Nigeria (2021โ€“2022)

  • Honorary Research Associate, Durban University of Technology, South Africa (2020โ€“2022)

  • Postdoctoral Fellow, Durban University of Technology, South Africa (2018โ€“2019)

  • Lecturer / Assistant Lecturer, Federal University Oye-Ekiti, Nigeria (2012โ€“2018)

Research Interests ๐Ÿ”ฌ

  • Applied Artificial Intelligence in Healthcare: including denoising autoencoders, diffusion-based models, and cancer prognosis.

  • Generative AI and Large Language Models (LLMs): especially for medical imaging, ethical conversational agents, and knowledge graphs.

  • Natural Language Processing: topic modeling, sentiment analysis, question answering.

  • Computer Vision: semantic segmentation, image generation and classification.

  • AI Ethics: safety, transparency, and responsible AI development.

Awards and Honors๐Ÿ†โœจ

  • Fellow of the Higher Education Academy (FHEA), UK (2024)

  • Winner, Excellence in Feedback, University of Hull (2023)

  • Finalist, Excellence in Teaching, University of Hull (2023)

  • Honorary Research Associate, Durban University of Technology, South Africa (2020โ€“2022)

  • Postdoctoral Research Fellowship, DUT, South Africa (2018โ€“2019)

  • Multiple Travel Grants: NeurIPS, Deep Learning IndabaX, ACM FAT*, ACM SIGKDD, and ESA workshops

  • Best Paper Award, International Journal of Computer Science and Engineering (2014)

Conclusion๐ŸŒŸ

Dr. Temitayo Fagbola stands out as a multidisciplinary researcher and educator whose work bridges advanced AI technologies and practical applications in healthcare and education. His scholarly contributions, spanning over 20 peer-reviewed journal articles and edited volumes, are supported by his active participation in global AI conferences, grant-winning projects, and service to academic communities. His combination of academic leadership, international collaborations, and impactful publications makes him an exceptional candidate for recognition in the field of Artificial Intelligence and Computer Science.

Publications ๐Ÿ“š

  • ๐Ÿ–ฅ๏ธ Computer-based test (CBT) system for university academic enterprise examination
    ๐Ÿ“š International Journal of Scientific & Technology Research, 2(8), 2013
    ๐Ÿ‘จโ€๐Ÿ’ผ Authors: M. Fagbola Temitayo, A. Adigun Adebisi, O. Oke Alice
    ๐Ÿ”ข Cited by: 109


  • โ˜๏ธ The Impact and Challenges of Cloud Computing Adoption on Public Universities in Southwestern Nigeria
    ๐Ÿ“š International Journal of Advanced Computer Science and Applications (IJACSA), 2014
    ๐Ÿ‘จโ€๐Ÿ’ผ Authors: FTMDCY Oyeleye Christopher Akin
    ๐Ÿ”ข Cited by: 93*


  • ๐Ÿง  Hybrid GA-SVM for efficient feature selection in e-mail classification
    ๐Ÿ“š Computer Engineering and Intelligent Systems, 3(3), 2012
    ๐Ÿ‘จโ€๐Ÿ’ผ Authors: F. Temitayo, O. Stephen, A. Abimbola
    ๐Ÿ”ข Cited by: 51


  • ๐Ÿ“– Cloud Computing: Master the Concepts, Architecture and Applications with Real-world examples and Case studies
    ๐Ÿ“š Book, 2019
    ๐Ÿ‘จโ€๐Ÿ’ผ Authors: M.M. Kamal Kant Hiran, Ruchi Doshi, Temitayo Fagbola
    ๐Ÿ”ข Cited by: 37*


  • ๐Ÿ˜ท Smart face masks for Covid-19 pandemic management: A concise review of emerging architectures, challenges and future research directions
    ๐Ÿ“š IEEE Sensors Journal, 23(2), 2022
    ๐Ÿ‘จโ€๐Ÿ’ผ Authors: T.M. Fagbola, F.I. Fagbola, O.J. Aroba, R. Doshi, K.K. Hiran, S.C. Thakur
    ๐Ÿ”ข Cited by: 21


  • ๐Ÿค– Towards the development of artificial intelligence-based systems: Human-centered functional requirements and open problems
    ๐Ÿ“š 2019 International Conference on Intelligent Informatics and Biomedical Sciences, 2019
    ๐Ÿ‘จโ€๐Ÿ’ผ Authors: T.M. Fagbola, S.C. Thakur
    ๐Ÿ”ข Cited by: 20


  • ๐Ÿ“† Hybrid Metaheuristic Feature Extraction Technique for Solving Timetabling Problem
    ๐Ÿ“š International Journal of Scientific and Engineering Research, USA, 3(8), 2012
    ๐Ÿ‘จโ€๐Ÿ’ผ Authors: O.E.O.O.A.C. Olabiyisi Stephen O., Fagbola Temitayo M.
    ๐Ÿ”ข Cited by: 19


  • ๐Ÿ“ฑ Development of Mobile-Interfaced Machine Learning-Based Predictive Models for Improving Studentsโ€™ Performance in Programming Courses
    ๐Ÿ“š International Journal of Advanced Computer Science and Applications, 9(5), 2018
    ๐Ÿ‘จโ€๐Ÿ’ผ Authors: F.T.M.A.I.A.O.A.O.O.O.E.A.O.B.E. Funmilola
    ๐Ÿ”ข Cited by: 15*


  • ๐Ÿ“ง An optimized feature selection technique for email classification
    ๐Ÿ“š International Journal of Scientific & Technology Research, 3(10), 2014
    ๐Ÿ‘จโ€๐Ÿ’ผ Authors: O. Oludare, O. Stephen, O. Ayodele, F. Temitayo
    ๐Ÿ”ข Cited by: 15


  • ๐Ÿ›ฐ๏ธ A survey on migration process of mobile agent
    ๐Ÿ“š Proceedings of the World Congress on Engineering and Computer Science, 2016
    ๐Ÿ‘จโ€๐Ÿ’ผ Authors: M.O. Oyediran, T.M. Fagbola, S.O. Olabiyisi, E.O. Omidiora, A.O. Fawole
    ๐Ÿ”ข Cited by: 13


  • ๐Ÿง‘โ€๐Ÿซ Special issue: Towards a higher education of the future: Transformational roles of edge intelligence
    ๐Ÿ“š Array, 22, 100332, 2024
    ๐Ÿ‘จโ€๐Ÿ’ผ Authors: R. Doshi, Y.C. Hu, L. Garg, T. Fagbola
    ๐Ÿ”ข Cited by: 12


  • ๐Ÿฅ An SAP enterprise resource planning implementation using a case study of hospital management system for inclusion of digital transformation
    ๐Ÿ“š International Journal of Computer Information Systems and Industrial Management Applications, 2023
    ๐Ÿ‘จโ€๐Ÿ’ผ Authors: O.J. Aroba, A.O. Owoputi, T.M. Fagbola
    ๐Ÿ”ข Cited by: 11


  • ๐Ÿ“ฐ News article classification using Kolmogorov complexity distance measure and artificial neural network
    ๐Ÿ“š International Journal of Technology, 10(4), 2019
    ๐Ÿ‘จโ€๐Ÿ’ผ Authors: T.M. Fagbola, C.S. Thakur, O. Olugbara
    ๐Ÿ”ข Cited by: 11


  • โ˜๏ธ An exploratory study of cloud and ubiquitous computing systems
    ๐Ÿ“š World Journal of Engineering and Pure & Applied Sciences, 2(5), 2012
    ๐Ÿ‘จโ€๐Ÿ’ผ Authors: S.O. Olabiyisi, T.M. Fagbola, R.S. Babatunde
    ๐Ÿ”ข Cited by: 11


  • ๐Ÿ‡ณ๐Ÿ‡ฌ Lexicon-based Bot-aware Public Emotion Mining and Sentiment Analysis of the Nigerian 2019 Presidential Election on Twitter
    ๐Ÿ“š Conference/Journal Paper, 2019
    ๐Ÿ‘จโ€๐Ÿ’ผ Authors: T.M. Fagbola, S.C. Thakur
    ๐Ÿ”ข Cited by: 10


 

 

 

 

Azharuddin Shaik | Number Theory | Best Researcher Award

Mr. Azharuddin Shaik | Number Theory | Best Researcher Award

PhD Scholar at Indian Institute of Information Technology Guwahati, India

Shaik Azharuddin is a promising young mathematician with deep expertise in hypergeometric and Appell series across finite fields, complex numbers, and pp-adic settings. Currently pursuing his Ph.D. at IIIT Guwahati under Dr. Gautam Kalita, his research explores intricate connections between special functions, algebraic curves (notably elliptic curves), and modular forms. Azharuddinโ€™s scholarly output includes multiple high-impact publications in internationally reputed journals such as The Ramanujan Journal, Research in Number Theory, Finite Fields and Their Applications, and Journal of Mathematical Analysis and Applications. He has also actively participated in major mathematical conferences and international workshops, further enhancing his academic profile.

Publication Profileย 

Google Scholar

Educational Background ๐ŸŽ“

  • Ph.D. in Mathematics
    Indian Institute of Information Technology (IIIT) Guwahati, India
    (August 2021 โ€“ Present)
    Supervisor: Dr. Gautam Kalita
    Thesis: Hypergeometric and Appell series over finite fields and in pp-adic settings; and their connections to algebraic curves.

  • M.Sc. in Mathematics
    University of Mysore, Mysore, India
    (August 2017 โ€“ May 2019)

  • Integrated B.Sc.Ed. in Mathematics, Physics, and Chemistry
    Regional Institute of Education, Mysore, India
    (August 2013 โ€“ July 2017)

Professional Experience ๐Ÿ’ผ

  • Ph.D. Research Scholar
    Department of Mathematics, IIIT Guwahati
    (2021 โ€“ Present)
    Focused on advanced research in number theory, specifically special functions over various fields and their algebraic and geometric implications.

Research Interests ๐Ÿ”ฌ

  • Hypergeometric and Appell series over:

    • Complex numbers

    • Finite fields

    • pp-adic numbers

  • Connections of these series to:

    • Algebraic curves (especially elliptic curves)

    • Modular forms

  • Transformations, summation identities, and trace formulas in arithmetic geometry and number theory.

Awards and Honors๐Ÿ†โœจ

  • CSIR-UGC JRF Qualification โ€” Cleared in June 2020, recognizing academic excellence and research potential in mathematical sciences.

  • Indirect Recognition โ€” His co-authored paper in Finite Fields and Their Applications contributed to Dr. Gautam Kalita receiving the A.K. Agarwal Best Publication of the Year 2024 by the Society for Special Functions and their Applications.

Conclusion๐ŸŒŸ

Shaik Azharuddin demonstrates significant promise in the field of pure mathematics, particularly number theory and arithmetic geometry. His rigorous academic training, productive research output, and active engagement with international conferences and workshops position him as a rising scholar. With several publications in high-quality journals and a research focus aligned with contemporary mathematical challenges, he is well-prepared to contribute to both academia and collaborative research environments. As he nears the completion of his Ph.D., his profile reflects readiness for advanced research positions or postdoctoral opportunities globally.

Publications ๐Ÿ“š

  1. ๐Ÿงฎ A family of algebraic curves and Appell series over finite fields
    โœ๏ธ S. Azharuddin, G. Kalita
    ๐Ÿ“ฐ The Ramanujan Journal, Vol. 64(3), pp. 823โ€“834
    ๐Ÿ“… 2024 | ๐Ÿ”— Cited by: 3


  2. ๐Ÿ”„ Transformations for Appell series over finite fields and traces of Frobenius for elliptic curves
    โœ๏ธ G. Kalita, S. Azharuddin
    ๐Ÿ“ฐ Finite Fields and Their Applications, Vol. 92, Article ID: 102301
    ๐Ÿ“… 2023 | ๐Ÿ”— Cited by: 3


  3. ๐Ÿ”ข Fโ‚„-Appell series in p-adic settings and their connections to algebraic curves
    โœ๏ธ S. Azharuddin, G. Kalita
    ๐Ÿ“ฐ Journal of Mathematical Analysis and Applications, Article ID: 129601
    ๐Ÿ“… 2025 | ๐Ÿ“Œ Status: Published


  4. โž• A summation transformation formula for Gaussian hypergeometric series and twisted Kloosterman sheaf sums
    โœ๏ธ G. Kalita, S. Azharuddin, F. Sayed
    ๐Ÿ“ฐ Research in Number Theory, Vol. 11(1), Article 22
    ๐Ÿ“… 2025 | ๐Ÿ“Œ Status: Published


  5. ๐Ÿง  A transformation and certain special values of hypergeometric series over finite fields
    โœ๏ธ G. Kalita, S. Azharuddin
    ๐Ÿ“ฐ The Ramanujan Journal, Vol. 66(33), pp. 1โ€“15
    ๐Ÿ“… 2025 | ๐Ÿ“Œ Status: Published


 

 

 

 

Wei Cheng | Intelligent Maintenance | Best Researcher Award

Prof. Wei Cheng | Intelligent Maintenance | Best Researcher Award

Professor at Xi’an Jiaotong University, China

Prof. Wei Cheng is a prominent figure in the field of mechanical engineering with deep expertise in intelligent systems for nuclear power and smart agricultural technologies. Currently a Full Professor and Doctoral Supervisor at Xiโ€™an Jiaotong University, he has demonstrated an exceptional trajectory in academia, national-level research, and policy advisory roles. His research contributions span nuclear power intelligent decision-making, predictive maintenance, and smart manufacturing, supported by extensive funding and recognized by national media and scientific communities.

Publication Profileย 

Scopus

Educational Background ๐ŸŽ“

  • Postdoctoral Research (2012.12 โ€“ 2015.09)
    Mechanical Engineering, Xi’an Jiaotong University

  • Ph.D. in Mechanical Engineering (2008.09 โ€“ 2012.12)
    Xiโ€™an Jiaotong University

    • Joint Ph.D. at University of Michigan, Ann Arbor (2011.02 โ€“ 2012.10)

  • M.Eng. in Mechanical Engineering (2006.09 โ€“ 2008.08)
    Xiโ€™an Jiaotong University

  • B.Eng. in Mechanical Engineering (2002.09 โ€“ 2006.06)
    Xiโ€™an Jiaotong University

Professional Experience ๐Ÿ’ผ

  • 2022 โ€“ Present:

    • Full Professor / Doctoral Supervisor, School of Mechanical Engineering, Xiโ€™an Jiaotong University

    • Deputy Director, CNNC-XJTU Joint Lab for Nuclear Power Intelligent Decision & Predictive Operation

    • Chief Scientist, Smart Agriculture Technology & Equipment Research Center

  • 2018 โ€“ 2020:
    Associate Director, Department of Scientific Research, Xiโ€™an Jiaotong University

  • 2017 โ€“ 2018:
    Project Manager, High-Tech Department, Ministry of Science and Technology of China

  • 2015 โ€“ 2021:
    Associate Professor / Doctoral Supervisor, Xiโ€™an Jiaotong University

Research Interests ๐Ÿ”ฌ

  • Nuclear power intelligent decision-making systems

  • Smart maintenance and predictive operation technology

  • Intelligent equipment for smart agriculture

  • Digital twin and intelligent diagnostics

  • Standardization in intelligent manufacturing

Awards and Honors๐Ÿ†โœจ

  • “Wang Kuancheng Young Scholar” distinction

  • Chief author of national strategy documents (e.g., China’s Manufacturing Power Strategy 2035)

  • Research highlighted in People’s Daily and Shaanxi Daily

  • Recognized expert in national standardization committees

Key Research Achievements

  • Led 24 competitive research projects, with over ยฅ24 million in funding

  • PI of the National S&T Major Project and National Key R&D Program

  • Secured 3 NSFC grants and 17 provincial/ministerial-level projects

  • Developed 1 nuclear power intelligent system and contributed to 5 national/industry standards

  • Published 70+ papers (40+ SCI, 20+ EI indexed)

  • Filed 50+ patents and 11 software copyrights

Conclusion๐ŸŒŸ

Prof. Wei Cheng stands out as a highly accomplished and visionary academic in mechanical engineering, with a solid track record in cross-disciplinary innovation, high-impact research, and leadership in national policy planning. His achievements in nuclear power, smart agriculture, and predictive maintenance not only advance scientific frontiers but also align with strategic industrial goals. He is a strong candidate for research excellence awards and continued leadership roles in shaping Chinaโ€™s intelligent manufacturing landscape.

Publications ๐Ÿ“š

๐Ÿ“„ Article
MelNet: An End-to-End Adaptive Network with Adjustable Frequency for Preprocessing-Free Broadband Acoustic Emission Signals
๐Ÿ“š Information Fusion, 2025
๐Ÿ”— Full text: Unavailable
๐Ÿ“Š Citations: 0


๐Ÿ“„ Article
Efficient Belief Rule-Based Network for Planetary Gearbox Wear State Characterization Using Multi-Channel Lubricant Debris Information
๐Ÿ“š Information Fusion, 2025
๐Ÿ”— Full text: Unavailable
๐Ÿ“Š Citations: 0


๐Ÿ“„ Article
Gas Turbine Harmonic Detection and Modal Identification Based on Underdetermined Blind Source Separation
๐Ÿ“š Journal of Sound and Vibration, 2025
๐Ÿ”— Full text: Unavailable
๐Ÿ“Š Citations: 0


๐Ÿ“„ Article
Class-Imbalanced Pattern Recognition in Pipeline Weld Cracks Damage via Feature Characterization and Sample Enhancement
๐Ÿ“š Measurement โ€“ Journal of the International Measurement Confederation, 2025
๐Ÿ”— Full text: Unavailable
๐Ÿ“Š Citations: 0


๐Ÿ“„ Article
Microleakage Acoustic Emission Monitoring of Pipeline Weld Cracks Under Complex Noise Interference: A Feasible Framework
๐Ÿ“š Journal of Sound and Vibration, 2025
๐Ÿ”— Full text: Unavailable
๐Ÿ“Š Citations: 1


๐Ÿ“š Review
Diagnostics and Prognostics in Power Plants: A Systematic Review
๐Ÿ“ Journal Name Not Specified, 2025
๐Ÿ”— Full text: Unavailable
๐Ÿ“Š Citations: 1


๐Ÿ“„ Article
Macro Guidanceโ€“Micro Avoidance Model for On-Site Personnel Emergency Evacuation Strategy in Nuclear Power Plants Under Fear Psychology
๐Ÿ“š Physica A: Statistical Mechanics and Its Applications, 2025
๐Ÿ”— Full text: Unavailable
๐Ÿ“Š Citations: 0


๐Ÿ“„ Article
Gradient Consistency Strategy Cooperative Meta-Feature Learning for Mixed Domain Generalized Machine Fault Diagnosis
๐Ÿ“š Knowledge-Based Systems, 2025
๐Ÿ”— Full text: Unavailable
๐Ÿ“Š Citations: 1


๐Ÿ“„ Article
EI-ISOA-VMD: Adaptive Denoising and Detrending Method for Nuclear Circulating Water Pump Impeller
๐Ÿ“š Measurement โ€“ Journal of the International Measurement Confederation, 2025
๐Ÿ”— Full text: Unavailable
๐Ÿ“Š Citations: 4


๐Ÿ“„ Article
A Model-Based Deep Learning Approach to Interpretable Impact Force Localization and Reconstruction
๐Ÿ“š Mechanical Systems and Signal Processing, 2025
๐Ÿ”— Full text: Unavailable
๐Ÿ“Š Citations: 4