Mr. Ranran Wang | Artificial Intelligence | Research Excellence Award

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Mr. Ranran Wang | Artificial Intelligence | Research Excellence Award 

Mr. Ranran Wang | Artificial Intelligence | Shandong Agricultural University | China

Mr. Ranran Wang is an accomplished PhD scholar, associate professor, IEEE member, and seasoned academic in mechanical, electronic, and agricultural engineering, widely recognized for his contributions to intelligent detection systems, agricultural mechanization, precision management technologies, and integrated engineering innovations. With a strong educational foundation beginning with a Bachelor of Science in Electrical Engineering from Shandong University of Technology, followed by a master’s degree from the School of Electrical Engineering at Shandong University, and a PhD in Mechanical and Electronic Engineering from Shandong Agricultural University, Wang Ranran further expanded his expertise through postdoctoral research at the Plant Protection Postdoctoral Research Station and international academic collaboration as a visiting scholar at Iwate University in Japan. Professionally, Wang Ranran has maintained a long-standing academic role at the College of Mechanical and Electronic Engineering at Shandong Agricultural University, where he has contributed to teaching, research, academic evaluation, scientific leadership, and interdisciplinary innovation. He has served as a reviewer for multiple journals, a mentor for elite engineering talent programs, an expert reviewer for investment projects, and a key member of numerous provincial and municipal scientific committees. His professional service includes roles such as expert reviewer for forestry, agricultural engineering, water and fertilizer integration facilities, rural revitalization, electric power industry development, and technological innovation alliances, as well as leadership positions including technology commissioner, science and technology mayor, and vice chairman in provincial agricultural technology extension associations.

Citation Metrics (Scopus)

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Featured Publications

Ms. Martina Formichini | Artificial Intelligence | Best Researcher Award

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Ms. Martina Formichini | Artificial Intelligence | Best Researcher Award 

Ms. Martina Formichini | Artificial Intelligence | Sant’Anna School of Advanced Studies | Italy

Ms Martina Formichini is an Italian researcher whose interdisciplinary academic and professional background positions her strongly within the domains of physics, artificial intelligence, remote sensing, and large-scale data analytics. Ms Martina Formichini completed her Bachelor’s Degree in Physics at Sapienza University of Rome, followed by a Master’s Degree in Physics of Biosystems at the same institution, where she developed foundational expertise in top-down visual perception modelling using fMRI and in the application of physical-statistical methods to complex economic and technological networks. She further strengthened her skill set through a Master in Big Data Analytics & Social Mining at the University of Pisa, gaining advanced training in data science, neural networks, scalable architectures, and machine learning for satellite imagery. Professionally, Ms Martina Formichini worked in research collaboration at Sapienza University investigating motif significance in economic-technological networks, later serving as a Programmer at Eustema S.p.A., a Senior Analyst and Solution Developer at Avanade, and an intern at Almaviva S.p.A., where she contributed to deep learning projects in computer vision and environmental monitoring using aerial and satellitar imagery. Her current role as a Ph.D. researcher at Scuola Superiore Sant’Anna focuses on artificial intelligence systems for terrain, vegetation, and soil classification, using segmentation techniques and deep learning frameworks. Her research interests include AI-based remote sensing, environmental monitoring, image segmentation, complex networks, NLP, statistical modelling, and high-performance data processing. Ms Martina Formichini possesses strong skills in machine learning, computer vision, Python ecosystems, SQL, scalable analytics, cloud-based cognitive services, data engineering workflows, and end-to-end predictive modelling. Her collaborative research mindset, leadership in group projects, and experience across academic and industrial settings demonstrate strong potential for impactful multidisciplinary contributions.

Professional Profiles: ORCID  

 Selected Publications

A Comparative Analysis of Deep Learning-Based Segmentation Techniques for Terrain Classification in Aerial Imagery

Deep Learning-Based Segmentation for Terrain Classification in Aerial Imagery

Dr. Munyaradzi Duve | Artificial Intelligence | Best Researcher Award

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Dr. Munyaradzi Duve | Artificial Intelligence | Best Researcher Award

Dr. Munyaradzi Duve, University of Johannesburg, South Africa

Dr. Munyaradzi Duve is a distinguished academic and researcher in the field of accounting and taxation, currently serving as a Postdoctoral Research Fellow in the Department of Accountancy at the University of Johannesburg (2025–2027). He holds a Ph.D. in Economic and Management Sciences with a focus on Taxation from North-West University, South Africa, with his doctoral research examining the implications of presumptive taxation practices in Zimbabwe. Dr. Duve also holds a Master of Commerce in Accounting, a Bachelor of Commerce Honours degree in Accounting, and a Postgraduate Diploma in Higher and Tertiary Education. With over a decade of lecturing experience at Great Zimbabwe University (2010–2024), he has taught and supervised in areas such as financial reporting, taxation, auditing, and financial management. He has held key academic leadership roles, including serving as Chairperson of the Department of Accounting, and has played a pivotal role in curriculum development, departmental management, and community engagement. A Certified Public Accountant and a candidate at the Chartered Institute of Management Accountants (CIMA), Dr. Duve has published in peer-reviewed journals, reviewed academic articles, examined postgraduate theses, and actively contributed to national budget advisory and university audit committees. His research, teaching, and leadership continue to influence accounting education and policy development in Zimbabwe and beyond.

Professional Profile:

GOOGLE SCHOLAR

ORCID

Summary of Suitability for Best Researcher Award – Dr. Munyaradzi Duve

Dr. Munyaradzi Duve is a highly qualified and impactful researcher in the field of accounting and taxation, with a demonstrated commitment to advancing knowledge and practice in economic and fiscal policy within developing country contexts, particularly Zimbabwe. His academic and professional journey is distinguished by deep expertise, practical relevance, and meaningful scholarly contributions.

🎓 Education

  • 🧑‍🎓 PhD in Economic and Management Sciences (Taxation)
    North-West University, South Africa – August 2023
    📘 Thesis: The context and role of presumptive taxation: implications of current taxation practices in Zimbabwe.

  • 📚 Master of Commerce in Accounting
    Midlands State University, Zimbabwe – 2011
    📘 Dissertation: The effects of tax incentives on the growth of the manufacturing sector in Zimbabwe.

  • 🧾 Post-Graduate Diploma in Higher and Tertiary Education
    Great Zimbabwe University – December 2018

  • 💼 Bachelor of Commerce Honours in Accounting
    Great Zimbabwe University – August 2008

💼 Work Experience

  • 🧑‍🏫 Lecturer, Great Zimbabwe University (2010 – 2024)
    Taught: Financial Reporting, Taxation, Auditing, Cost & Management Accounting, Financial Management
    📋 Duties: Teaching, research, supervision, examination, committee participation

  • 🧑‍🔬 Postdoctoral Research Fellow, University of Johannesburg (2025 – 2027)
    Department of Accountancy – Continuing research and academic development

🏆 Achievements & Contributions

  • 📄 Published multiple peer-reviewed journal articles in accounting & taxation

  • 📚 Authored book chapters on small business taxation

  • 🌐 Presented research at national and international conferences

  • 👨‍🏫 Supervised undergraduate and postgraduate theses

  • 🛠️ Developed new courses and revised existing ones

  • 🎤 Guest lectured in collaboration with ACCA, ZIMRA, and Chartered Accountants Academy

  • 📊 Organised seminars and outreach programs

  • 👥 Served on university senate and academic committees

  • 🤝 Bridged interdisciplinary research in taxation and economic development

🧑‍💼 Leadership & Administration

  • 🏛️ Chairperson, Dept. of Accounting, Great Zimbabwe University (2023–2024)
    Oversaw curriculum, staff, budgeting, and departmental operations

  • 🧭 School Work-Related Learning Coordinator (2018–2022)
    Designed internship placement frameworks and assessment tools

🏅 Awards, Honors & Professional Engagements

  • 📜 Certified Public Accountant (CPA-Z) (2015)
    Institute of Certified Public Accountants of Zimbabwe

  • 📈 Strategic Level Candidate, Chartered Institute of Management Accountants (CIMA) (Ongoing)

  • 🔍 External Examiner: 10 Master’s Dissertations, 1 PhD Thesis

  • 📑 Journal Reviewer: Reviewed 9 journal articles

  • 💼 Budget Review Committee Member, Ministry of Local Government, Zimbabwe (2023–Present)

  • 🔎 Audit Committee Member, Great Zimbabwe University (2023–Present)

Publication Top Notes:

Unmooring tax compliance: The impact of information technology in the Zimbabwean small firms under presumptive taxation

Exploring Sustainability in Startups: A Systematic PRISMA Review

Artificial Intelligence and Emerging Technologies

Determinants of Small Business Tax Compliance Behaviour: Evidence From Zimbabwean Small Businesses

Bridging sustainable development gap in the gold mining sector of Zimbabwe

The influence of simplicity, fairness and transparency perceptions on presumptive tax compliance

A critical review of presumptive tax systems in developing countries characteristics: a review of the empirical literature

Prof. Dr. Cedric Sueur | Artificial intelligence | Best Researcher Award

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Prof. Dr. Cedric Sueur | Artificial intelligence | Best Researcher Award 

Prof. Dr. Cedric Sueur, Université de Strasbourg, France

Cédric Sueur is a French ethologist and primatologist renowned for his contributions to the study of animal behavior and social ecology. He is a Full Professor at the University of Strasbourg and a Fellow of the Institute for Advanced Study, as well as a member of the French Academic Institute. He holds a Ph.D. in Ethology from Louis Pasteur University, Strasbourg, and the Free University of Brussels, along with an HDR qualification to supervise doctoral theses. Throughout his career, he has held prestigious academic positions, including Associate Professor at the University of Strasbourg, Visiting Professor at Kyoto University, Sun Yat-sen University, and Lille Catholic University. His research has been widely recognized, earning him numerous accolades such as the Changjiang Scholar Program award, the Adolphe Wetrems Award from the Royal Academies for Science and the Arts of Belgium, and recognition among the world’s top 2% of scientists by Stanford University. With a strong academic and research background, Sueur continues to contribute significantly to the field of ethology and primatology.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award – Cédric Sueur

Cédric Sueur is a highly accomplished researcher in Ethology and Primatology, making him a strong contender for the Best Researcher Award. His outstanding academic background, extensive research contributions, prestigious honors, and leadership in the scientific community establish him as an influential figure in his field.

🎓 Education

  • 2014: HDR, Habilitation to Supervise Doctoral Theses

  • 2008: PhD in Ethology – Primatology, Louis Pasteur University, Strasbourg & Free University of Brussels

  • 2005: Master’s Degree, University Louis Pasteur, Strasbourg (With Honours)

  • 2003: Bachelor’s in Organisms’ Biology, University 14USTL, Lille (With Honours)

💼 Work Experience

  • Since 2024: Full Professor, University of Strasbourg

  • Since 2021: Invited Professor, Lille Catholic University

  • 2011-2024: Associate Professor, University of Strasbourg (Outstanding since 2022)

  • 2022 (Jan-Mar): Invited Professor, Kyoto University Institute for Advanced Study

  • 2016 (Jul-Aug): Invited Professor, Sun-Yat Sen University, China (Changjiang Scholar Program award)

  • 2008-2012: Research Associate, Unit of Social Ecology, Free University of Brussels

  • 2010-2011: Research Fellow, Primate Research Institute, Kyoto University

  • 2009-2010: Research Associate, Ecology & Evolutionary Biology, Princeton University

  • 2007-2008: Lecturer in Ethology, Strasbourg University

🏆 Awards & Honors

  • 2025: Selected for the Lumexplore Prize by the French Society of Explorers 🏅

  • 2025: Selected for the François Sommer Prize 🏆

  • 2024-2029: Member of the “Institut Universitaire de France” 🎖️

  • 2023: Best Communication Prize at Aramos Congress 🏅

  • 2023: Named Best Scientist by Research.com 🌍

  • 2022: Listed among the World’s Top 2% of Scientists by Stanford University 📊

  • 2022: Named Best Scientist by Research.com 🏅

  • 2019: Adolphe Wetrems Award from the Royal Academies for Science and the Arts of Belgium 🏆

  • 2019-2024: Fellow of the Institut Universitaire de France 🎖️

  • 2017: Primates Social Impact Award 🏅

  • 2016: Changjiang Scholar Program Award (Visiting Professor at Sun-Yat Sen University, China) 🇨🇳

  • 2014: Excellence Award from the French Minister of Higher Education and Research 🎓

  • 2013: Young Scientist Award from the French Society for the Study of Animal Behaviour (SFECA) 🏅

  • 2012: 3 papers among the Top 5 Cited Papers in International Journal of Primatology 📜

  • 2012: Fellow of the University of Strasbourg Institute for Advanced Study (USIAS) 🎓

  • 2010: JSPS Alumni (Japan Society for the Promotion of Science) 🇯🇵

  • 2009: Fulbright Alumni 🇺🇸

  • 2009: Prize of the Society of Biology of Strasbourg for Best Thesis 📜

  • 2009: “Le Monde de la Recherche Universitaire” Prize for Best Thesis 🎓

  • 2006-2010: Member of the European Doctoral College of Strasbourg 🌍

Publication Top Notes:

GITED:775
GITED:364
GITED:278
GITED:262
GITED:192
GITED:179
GITED:168

Assoc Prof Dr. Izabela Rojek | Artificial Intelligence | Best Researcher Award

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Assoc Prof Dr. Izabela Rojek | Artificial Intelligence | Best Researcher Award 

Assoc Prof Dr. Izabela Rojek, Kazimierz Wielki University, Poland

Dr. Izabela Rojek is a prominent academic and researcher serving as the Head of the Department of Data Processing Methods and Tools and the Dean of the Faculty of Computer Science at Kazimierz Wielki University in Bydgoszcz, Poland. She holds the qualifications of Ph.D., D.Sc.Eng., and Associate Professor. Dr. Rojek’s research is centered on engineering sciences, specifically in Technical Informatics, Telecommunications, and Mechanical Engineering. Her extensive scientific output includes five books, 190 articles and chapters in monographs, and over 6000 points in the Ministry of Science and Higher Education (MNiSW) ranking, with a Hirsch index of 18 (Web of Science and Scopus) and 20 (Google Scholar). She has been recognized with 15 national and international awards, including four UKW Rector’s Awards and three foreign medals for outstanding inventions. Dr. Rojek’s contributions extend to 20 grants and innovation projects, and she actively participates in the Manufacturing Engineering Committee of the Polish Academy of Sciences, where she chairs the Manufacturing Digitisation Section.

Professional Profile:

 

Suitability for Best Researcher Award:

Izabela Rojek is an exemplary candidate for the Best Researcher Award due to her outstanding contributions to the field of engineering sciences, particularly in Technical Informatics and Telecommunications. Her extensive publication record, high citation metrics, and significant involvement in national and international research projects highlight her impact on the field. Her leadership roles and innovative research further demonstrate her exceptional qualifications for this award.

Education:

  • Ph.D. in Engineering Sciences from Kazimierz Wielki University
  • D.Sc.Eng. (Doctor of Science in Engineering)
  • Associate Professor (Assoc. Prof.)

Work Experience:

  • Kazimierz Wielki University, Bydgoszcz
    • Head of the Department of Data Processing Methods and Tools
    • Dean of the Faculty of Computer Science

Additional Roles and Experience:

  • Member of the Manufacturing Engineering Committee of the Polish Academy of Sciences
  • Chair of the Manufacturing Digitisation Section of this Committee
  • Participation in the implementation of the IFS Applications IT system, including solution design, data migration, and training material preparation

Research and Contributions:

  • Authored 5 books and over 190 articles and chapters in monographs
  • Achieved over 6000 points in MNiSW (Polish Ministry of Science and Higher Education) evaluation
  • Total Impact Factor (IF) above 120
  • Hirsch index: h=18 (573 citations, Web of Science), h=18 (717 citations, Scopus), h=20 (1097 citations, Google Scholar)
  • Involved in 20 grants and innovation projects and 10 research topics
  • Recipient of 15 national and international awards, including 4 UKW Rector’s Awards and 3 foreign medals for outstanding inventions

Publication top Notes:

 

Enhancing 3D Printing with Procedural Generation and STL Formatting Using Python

Green Energy Management in Manufacturing Based on Demand Prediction by Artificial Intelligence—A Review

Use of Machine Learning to Improve Additive Manufacturing Processes

Review of the 6G-Based Supply Chain Management within Industry 4.0/5.0 Paradigm

Utilizing Selected Machine Learning Methods for Conicity Prediction in the Process of Producing Radial Tires for Passenger Cars

Ms. Hind MEZIANE | Artificial Intelligence | Best Scholar Award

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Ms. Hind MEZIANE | Artificial Intelligence | Best Scholar Award 

Ms. Hind MEZIANE, ACSA Lab, Faculty of Sciences, University Mohammed First, Oujda, Morocco

Hind Meziane is a dedicated researcher and Ph.D. candidate in Computer Science at the ACSA Laboratory, Department of Mathematics, Faculty of Sciences, Mohammed Premier University, Oujda, Morocco. Her academic journey began with a Baccalaureate in Science (Science Mathematics Option B) from Mehdi Ben Berka High School in Oujda in 2012. She then pursued higher education at Mohammed Premier University, obtaining a DEUG in Mathematics and Computer Science (2012-2014), a LICENSE in Mathematics and Computer Science (2014-2016), and a Specialized Master’s in Computer Engineering with Honors (2017-2019).

Professional Profile:

Summary of Suitability for Best Scholar Award

Hind Meziane is a highly accomplished researcher whose work primarily focuses on the security of Internet of Things (IoT) systems. She is currently pursuing a Ph.D. in Computer Science at Mohammed Premier University and has an impressive academic background, including a specialized master’s degree in Computer Engineering and a bachelor’s degree in Mathematics and Computer Science. Her research contributions are well-documented through various publications in reputable international journals and conference proceedings.

🎓 Education:

  • 2019-Present: Doctorate (PhD) in Computer Science at Mohammed Premier University, Faculty of Sciences, Oujda.
  • 2017-2019: Specialized Master in Computer Engineering, with Honors, at Mohammed Premier University, Faculty of Sciences, Oujda.
  • 2014-2016: LICENSE in Mathematics and Computer Science from Mohammed Premier University, Faculty of Sciences, Oujda.
  • 2012-2014: DEUG in Mathematics and Computer Science from Mohammed Premier University, Faculty of Sciences, Oujda.
  • 2011-2012: Baccalaureate in Science, Mathematics Option B from Mehdi Ben Berka High School, Oujda.

Publication top Notes:

A survey on performance evaluation of artificial intelligence algorithms for improving IoT security systems

A Comparative Study for Modeling IoT Security Systems

Modeling IoT based Forest Fire Detection System with IoTsec

A Study of Modelling IoT Security Systems with Unified Modelling Language (UML)

Classifying security attacks in iot using ctm method

Internet of Things: Classification of attacks using CTM method