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

Ruochen Li | Artificial Intelligence | Best Researcher Award

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Ruochen Li | Artificial Intelligence | Best Researcher Award

Dr. Ruochen Li, BOHUA UHD Co., Ltd. , China.

Ruochen Li, PhD candidate at Macau University of Science and Technology, specializes in Artificial Intelligence with a focus on no-reference video quality assessment, cross-modal audio-visual retrieval, and image-based sound source localization. With expertise in cutting-edge AI technologies like PyTorch, TensorFlow, and MindSpore, Li has achieved groundbreaking research in video quality evaluation and audio-visual content correlation, earning recognition in top-tier journals. He has also received a prize in the National Artificial Intelligence Competition for his contributions to ultra-high-definition video processing. 📊📹🔍

Publication Profile

Scopus

Education and Experience

  • 🎓 PhD in Artificial Intelligence (2021-2024), Macau University of Science and Technology.
  • 🎓 Master’s in Control Engineering (2016-2019), Jiangsu University of Science and Technology.
    • Supervisor: Associate Prof. Shuxia Ye.
  • 🎓 Bachelor’s in Control Engineering (2012-2016), Jiangsu University of Science and Technology.
  • 📑 Research Participant: National Ultra-High Definition Video Innovation Center.
  • 📑 Research Contributor: China Science and Technology Information Research Institute.

Suitability For The Award

Dr. Ruochen Li is an accomplished researcher specializing in artificial intelligence, video quality assessment, and audio-visual event retrieval. With a Ph.D. in Artificial Intelligence from Mauca University of Science and Technology and extensive expertise in PyTorch, TensorFlow, and MindSpore, Li has contributed significantly to advancing multimedia technologies. Their innovations include state-of-the-art datasets, algorithms like Reformer, and multimodal fusion techniques with applications in accessibility, entertainment, and surveillance. Recognized through high-impact publications and awards, including third prize in the National Artificial Intelligence Competition, Ruochen Li exemplifies excellence in research and innovation, making them a strong candidate for prestigious honors such as the Best Researcher Award.

Professional Development

Ruochen Li’s professional journey is defined by innovations in AI and deep learning. He developed the UHD-VQ5k dataset and proposed novel algorithms for ultra-high-definition video quality assessment, utilizing advanced models like Resformer. His work in audio-visual content analysis, featured in his doctoral dissertation, emphasizes the integration of audio-visual features using deep neural networks. As a key participant in national projects, he has contributed to cloud-based UHD video platforms and AI policy analysis. His collaborations and publications underscore his commitment to advancing AI research and applications. 📊🤖📈

Research Focus

Ruochen Li’s research revolves around Artificial Intelligence applications in multimedia. His expertise spans no-reference video quality assessment, where he develops datasets and benchmarks for UHD video, to cross-modal audio-visual retrieval, enhancing machine understanding of multimodal content. His work also extends to image-based sound source localization, integrating audio-visual data for precise event detection. Through pioneering algorithms, Li bridges gaps between modalities, advancing the interplay of audio and video content in deep learning applications. His contributions drive progress in multimedia AI. 🎥🔊🧠

Awards and Honors

  • 🏆 Prize Winner: National Artificial Intelligence Competition.
  • 🏅 CET-6 Certificate: Scored 490.
  • 🏅 CET-4 Certificate: Scored 552.

Publication Top Notes

  • 📜 SgLFT: Semantic-guided Late Fusion Transformer for Video Corpus Moment Retrieval – Neurocomputing, 2024. 📚
  • 📜 Ultrahigh-definition Video Quality Assessment: A New Dataset and Benchmark – Neurocomputing, 2024, 📊
  • 📜 TA2V: Text-Audio Guided Video Generation – IEEE Transactions on Multimedia, 2024, 🎥🎶
  • 📜 Cross-Modality Knowledge Calibration Network for Video Corpus Moment Retrieval – IEEE Transactions on Multimedia, 2024,  🌐📑
  • 📜 Maximizing Mutual Information Inside Intra- and Inter-Modality for Audio-Visual Event Retrieval – International Journal of Multimedia Information Retrieval, 2023, 🔗🎧

Dr. Zhe Yuan | Deep Learning Awards | Best Researcher Award

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Dr. Zhe Yuan | Deep Learning Awards | Best Researcher Award 

Dr. Zhe Yuan, xidian University, China

Zhe Yuan is a Ph.D. student at Xidian University, Xi’an, Shaanxi, specializing in cutting-edge research in image processing, small object detection using deep learning, and unmanned aerial vehicle (UAV) technology. He earned his Master’s degree from Shaanxi University of Technology (2019-2022) and has industry experience as a Testing Engineer at TPRI (2022-2023). His research contributions include pioneering techniques for small target detection in UAV remote sensing images, emphasizing advanced multi-scale fusion attention mechanisms and adaptive weighted feature fusion. Zhe has published multiple influential works in renowned journals, such as Remote Sensing, and collaborated on projects addressing dynamic electromagnetic forces in water-lubricated bearings, showcasing his interdisciplinary expertise. His innovative research has been cited and recognized internationally, reinforcing his position as a promising researcher in his field.

Professional Profile:

SCOPUS

ORCID

Suitability for the Research for Best Researcher Award

Zhe Yuan has demonstrated exceptional contributions to fields such as image processing, small object detection using deep learning, and UAV technology. His research showcases a clear focus on impactful and innovative solutions, aligning well with the criteria for the Research for Best Researcher Award. Below is a summary of his suitability.

Education 🎓

  • Ph.D. Student (2023/09–Present): Xidian University
  • Testing Engineer (2022/06–2023/07): TPRI
  • Master’s Degree (2019/09–2022/06): Shaanxi University of Technology

Research Directions 🔬

  • Image Processing 🖼️
  • Small Object Detection Using Deep Learning 🤖
  • Unmanned Aerial Vehicle (UAV) Technology 🚁

Publication top Notes:

Dynamic variation mechanism of electromagnetic force for loading device of water⁃lubricated bearing

Small Object Detection in UAV Remote Sensing Images Based on Intra-Group Multi-Scale Fusion Attention and Adaptive Weighted Feature Fusion Mechanism

YuanZ,NWang,Wang P,et al. Research on Non- contact Electromagnetic Loading Device for Water- lubricated Bear ng[J]. Journal of Physics: Conference Series, 2020, 1624(6):062020 (7pp).

Dynamic electromagnetic force variation mechanism and energy loss of a non-contact loading device for a water-lubricated bearing

Research on Non-contact Electromagnetic Loading Device for Water-lubricated Bearing

Prof. Hsin-Yuan Chen | AI Awards | Outstanding Scientist Award

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Prof. Hsin-Yuan Chen | AI Awards | Outstanding Scientist Award

Prof. Hsin-Yuan Chen, Zhejiang University, China

H.Y. J. Chen is an accomplished researcher with expertise spanning multiple fields including bioengineering, materials science, and guidance system technologies. Holding a Web of Science ResearcherID (JSL-7102-2023) , Chen has an impressive H-index of 58, with over 11,000 citations accumulated from works published between January 2000 and March 2024. Some of Chen’s notable contributions include studies on biochar anodes for lithium-ion batteries, computational fluid dynamics (CFD) analysis of cormorant takeoff mechanisms, and innovations in van der Waals semiconductor photodetectors. Chen’s interdisciplinary work also extends into preprints and collaboration on machine learning applications in conformal field theories.

Professional Profile:

Scopus

Suitability Summary for Research for Outstanding Scientist Award

Researcher: H.Y. J. Chen

Summary:

H.Y. J. Chen stands out as a highly suitable candidate for the Research for Outstanding Scientist Award due to his exceptional contributions and interdisciplinary expertise across multiple scientific domains. Chen’s research spans bioengineering, materials science, and guidance system technologies, showcasing a profound impact on these fields.

🎓Education:

H.Y. J. Chen is an accomplished researcher with expertise in bioengineering, materials science, and guidance system technologies. Chen earned both his Master’s and Bachelor’s degrees, as well as a Ph.D., from National Cheng Kung University, Taiwan.

Publication Top Notes:

  • Protective Effects of an Oligo-Fucoidan-Based Formula Against Osteoarthritis Development via iNOS and COX-2 Suppression Following Monosodium Iodoacetate Injection
    • Citations: 0
  • Hinokitiol Inhibits Breast Cancer Cells In Vitro Stemness-Progression and Self-Renewal with Apoptosis and Autophagy Modulation via the CD44/Nanog/SOX2/Oct4 Pathway
    • Citations: 1
  • Alleviating 3-MCPD-Induced Male Reproductive Toxicity: Mechanistic Insights and Resveratrol Intervention
    • Citations: 1
  • Hinokitiol as a Modulator of TLR4 Signaling and Apoptotic Pathways in Atopic Dermatitis
    • Citations: 1
  • Integrating Explainable Artificial Intelligence and Blockchain to Smart Agriculture: Research Prospects for Decision Making and Improved Security
    • Citations: 7