Dr. Munyaradzi Duve | Artificial Intelligence | Best Researcher Award

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:

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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.

πŸŽ“ Education

  • πŸ§‘β€πŸŽ“ PhD in Economic and Management Sciences (Taxation)
    North-West University, South Africa – August 2023
    πŸ“˜ Thesis: The context and role of presumptive taxation: implications of current taxation practices in Zimbabwe.

  • πŸ“š Master of Commerce in Accounting
    Midlands State University, Zimbabwe – 2011
    πŸ“˜ 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

  • πŸ’Ό Bachelor of Commerce Honours in Accounting
    Great Zimbabwe University – August 2008

πŸ’Ό Work Experience

  • πŸ§‘β€πŸ« Lecturer, Great Zimbabwe University (2010 – 2024)
    Taught: Financial Reporting, Taxation, Auditing, Cost & Management Accounting, Financial Management
    πŸ“‹ Duties: Teaching, research, supervision, examination, committee participation

  • πŸ§‘β€πŸ”¬ Postdoctoral Research Fellow, University of Johannesburg (2025 – 2027)
    Department of Accountancy – Continuing research and academic development

πŸ† Achievements & Contributions

  • πŸ“„ Published multiple peer-reviewed journal articles in accounting & taxation

  • πŸ“š Authored book chapters on small business taxation

  • 🌐 Presented research at national and international conferences

  • πŸ‘¨β€πŸ« Supervised undergraduate and postgraduate theses

  • πŸ› οΈ Developed new courses and revised existing ones

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

  • πŸ“Š Organised seminars and outreach programs

  • πŸ‘₯ Served on university senate and academic committees

  • 🀝 Bridged interdisciplinary research in taxation and economic development

πŸ§‘β€πŸ’Ό Leadership & Administration

  • πŸ›οΈ 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

πŸ… Awards, Honors & Professional Engagements

  • πŸ“œ Certified Public Accountant (CPA-Z) (2015)
    Institute of Certified Public Accountants of Zimbabwe

  • πŸ“ˆ Strategic Level Candidate, Chartered Institute of Management Accountants (CIMA) (Ongoing)

  • πŸ” External Examiner: 10 Master’s Dissertations, 1 PhD Thesis

  • πŸ“‘ Journal Reviewer: Reviewed 9 journal articles

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

  • πŸ”Ž Audit Committee Member, Great Zimbabwe University (2023–Present)

PublicationΒ 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

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.Β πŸ“ŠπŸ“ΉπŸ”

Publication Profile

Scopus

Education and Experience

  • πŸŽ“Β PhD in Artificial IntelligenceΒ (2021-2024), Macau University of Science and Technology.
  • πŸŽ“Β Master’s in Control EngineeringΒ (2016-2019), Jiangsu University of Science and Technology.
    • Supervisor: Associate Prof. Shuxia Ye.
  • πŸŽ“Β Bachelor’s in Control EngineeringΒ (2012-2016), Jiangsu University of Science and Technology.
  • πŸ“‘Β Research Participant: National Ultra-High Definition Video Innovation Center.
  • πŸ“‘Β 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.Β πŸ“ŠπŸ€–πŸ“ˆ

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.Β πŸŽ₯πŸ”ŠπŸ§ 

Awards and Honors

  • πŸ†Β Prize Winner: National Artificial Intelligence Competition.
  • πŸ…Β CET-6 Certificate: Scored 490.
  • πŸ…Β CET-4 Certificate: Scored 552.

Publication Top Notes

  • πŸ“œΒ SgLFT: Semantic-guided Late Fusion Transformer for Video Corpus Moment RetrievalΒ – Neurocomputing, 2024.Β πŸ“š
  • πŸ“œΒ Ultrahigh-definition Video Quality Assessment: A New Dataset and BenchmarkΒ – Neurocomputing, 2024,Β πŸ“Š
  • πŸ“œΒ TA2V: Text-Audio Guided Video GenerationΒ – IEEE Transactions on Multimedia, 2024,Β πŸŽ₯🎢
  • πŸ“œΒ Cross-Modality Knowledge Calibration Network for Video Corpus Moment RetrievalΒ – IEEE Transactions on Multimedia, 2024,Β Β πŸŒπŸ“‘
  • πŸ“œΒ Maximizing Mutual Information Inside Intra- and Inter-Modality for Audio-Visual Event RetrievalΒ – International Journal of Multimedia Information Retrieval, 2023,Β πŸ”—πŸŽ§