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:

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

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

 

 

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

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

Mr. Omer Tariq | Artificial Intelligence Award | Best Researcher Award

Mr. Omer Tariq | Artificial Intelligence Award | Best Researcher Award 

Mr. Omer Tariq, Korea Advanced Institute of Science and Technology, KAIST, South Korea

Omer Tariq is a Ph.D. candidate at the Korea Advanced Institute of Science and Technology (KAIST), specializing in efficient and privacy-preserving deep learning for AIoT and autonomous systems. With a strong foundation in digital ASIC design, embedded systems, and hardware design, Omer has over seven years of experience in developing and deploying innovative machine learning solutions using TensorFlow, TensorRT, and PyTorch. His research includes advanced robotics software systems, autonomous navigation, and state-of-the-art motion planning algorithms. He has led teams in high-performance SoC/RTL design and verification at the National Electronics Complex, Pakistan, and contributed to satellite imaging systems at SUPARCO. Omer holds a BSc in Electrical Engineering from the University of Engineering and Technology, Taxila, and has published several papers in prominent journals. His technical skills are complemented by a range of certifications in machine learning, data science, and digital signal processing.

Professional Profile:

Summary of Suitability for Best Researcher Award

Omer Tariq is a Ph.D. candidate specializing in efficient and privacy-preserving deep learning for AIoT and Autonomous Systems. His work is highly relevant to current technological advancements and addresses significant challenges in machine learning, robotics, and autonomous systems. His research includes:

Education

Korea Advanced Institute of Science and Technology (KAIST)
Doctor of Philosophy (Ph.D.) in Computer Science
May 2021 – July 2025

  • Majors: Machine Learning & AI
  • CGPA: 3.74/4.3
  • Coursework: Programming for AI, Introduction to Artificial Intelligence, Design and Analysis of Algorithms, Intelligent Robotics, Human-Computer Interaction, Artificial Intelligence and Machine Learning, Technical Writing for Computer Science, Advanced Machine Learning, IoT Datascience

University of Engineering and Technology (UET), Taxila
Bachelor of Science in Electrical Engineering
Nov 2010 – July 2014

  • CGPA: 3.25/4.0
  • Thesis: Computer Vision-Assisted Object Detection and Control Framework for 3-DoF Robotic Arm
  • Area: Microelectronics, Control Systems, and Advanced Computer Architecture

Work Experience

Department of Industrial & Systems Engineering (ISysE), KAIST
Research Assistant
Nov. 2023 – March 2024

  • Designed and developed the electronics and power management module for the DAIM-Autonomous Mobile Robot, enhancing operational efficiency and reliability.
  • Engineered advanced robotics software systems for autonomous navigation and task execution.
  • Implemented state-of-the-art robot motion planning, mapping, and localization (SLAM) algorithms to improve real-time navigation accuracy.

National Electronics Complex, Pakistan (NECOP)
Engineering Manager & Team Lead
Apr. 2019 – Sep. 2022

  • Led verification and validation of high-performance SoC/RTL designs, ensuring system performance and reliability.
  • Spearheaded RTL development and optimization for high-performance IC designs, including logic synthesis, DFT, scan chain insertion, formal verification, and static timing analysis.
  • Managed the use of Synopsys and Cadence EDA tools for front-end and back-end digital IC design processes.

National Space Agency, Pakistan (SUPARCO)
Assistant Manager
Oct. 2014 – Apr. 2019

  • Designed and developed satellite imaging payload systems for national satellite missions.
  • Engineered high-speed, multi-layer PCB designs and conducted signal/power integrity simulations for satellite systems.
  • Developed embedded systems for the Satellite Ku-Band Positioning Unit, enhancing communication and positioning capabilities.

Publication top Notes:

2D Particle Filter Accelerator for Mobile Robot Indoor Localization and Pose Estimation

TabCLR: Contrastive Learning Representation of Tabular Data Classification for Indoor-Outdoor Detection

Compact Walsh–Hadamard Transform-Driven S-Box Design for ASIC Implementations

DeepIOD: Towards A Context-Aware Indoor–Outdoor Detection Framework Using Smartphone Sensors