Aneetha Sukhari | Tech Innovations | Best Researcher Award

Dr. Aneetha Sukhari | Tech Innovations | Best Researcher Award

Senior lecturer, at University of South Africa, South Africa.

Dr. Aneetha Sukhari is a distinguished academic, researcher, and Chartered Accountant with over two decades of experience in the accounting and auditing sector. Currently serving as a Senior Lecturer at the University of South Africa, she leads undergraduate modules in auditing, emphasizing 4IR, Africanisation, and integrated reporting. Her academic journey is underpinned by a commitment to quality education, student success, and transformation in higher education. Dr. Sukhari’s PhD research bridges artificial intelligence with accounting, while her previous roles at PricewaterhouseCoopers and the Auditor General’s office reflect her robust foundation in both public and private sector auditing. She has published in international journals, supervised master’s research, and actively participates in strategic academic committees, including those on AI curriculum integration. Her current work explores the intersection of digitalization, sustainability, and AI in financial reporting—making her a key thought leader in redefining the future of accounting sciences.

Professional Profile

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ORCID

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🎓 Education

Dr. Sukhari earned her PhD in Accounting and 4IR from the University of Johannesburg (2024), where her thesis explored the value relevance of business model and 4IR disclosures in integrated reports. She holds a Master’s in Accounting Sciences (2016) from the University of Pretoria, focusing on integrated reporting’s influence on business model disclosures. She passed both Part 1 and Part 2 of the South African Institute of Chartered Accountants’ qualifying exams (2009 & 2010), and completed her Bachelor of Accounting Sciences (Honours) at the University of South Africa in 2005. Her foundational degree, a BCom in Accounting, was awarded by the University of KwaZulu-Natal in 2002. Dr. Sukhari has also attended an extensive range of professional training programs in AI, ethics, governance, and strategic thinking, ensuring her qualifications are continually aligned with evolving industry standards and global trends.

💼 Experience

Dr. Sukhari has been a Senior Lecturer at the University of South Africa since 2014, where she manages large-scale undergraduate auditing programs, supports thousands of students annually, and leads module development that integrates cutting-edge topics like artificial intelligence and decolonisation. Prior to academia, she served as a Technical Specialist at the Auditor General of South Africa (2009–2014), developing audit methodologies and advising audit teams on regulatory and accounting matters. Her career began at PricewaterhouseCoopers (2005–2009) as a Trainee Accountant, where she handled high-profile audits for public and private institutions. Dr. Sukhari’s career reflects a balance between academic leadership, applied technical expertise, and ongoing contributions to curriculum development and professional training. She is also active in numerous professional and university committees, including those focused on AI integration, disability inclusion, and Africanised education.

🔬 Research Interest

Dr. Aneetha Sukhari’s research passion lies at the dynamic intersection of accounting, digital transformation, and corporate transparency. 🧠💡 Her current focus revolves around the value relevance of 4IR and digitalization disclosures in integrated reports. She explores how emerging technologies—like artificial intelligence, automation, and digitization—can reshape corporate reporting to better serve investors, stakeholders, and regulators. Her doctoral and postdoctoral research emphasizes business model disclosure quality, pushing for enhanced accountability and transparency in financial communication. 📊 Other interests include curriculum transformation, the Africanisation of accounting standards, ethical auditing practices, and smart auditing in the public sector. Through her publications, conference presentations, and committee memberships, Dr. Sukhari actively contributes to both the theoretical and practical advancement of the accounting field in the context of the Fifth Industrial Revolution. Her goal is to make accounting education and research more inclusive, futuristic, and socially responsive. 🌍📘

Awards and Honors

Dr. Sukhari has been the recipient of the College of Accounting Sciences Research Award twice—first for completing her Master’s degree in 2019, and again in 2020 for her first academic journal publication. Additionally, she has secured competitive research grants through the Academic Qualification Improvement Program (AQIP), receiving R1.2 million (2016–2017) and R2.7 million (2020–2022), which supported her advanced research in AI and integrated reporting. She is a peer reviewer for reputable journals, serves on editorial boards, and is a recognized speaker at international conferences. Her leadership and committee roles—particularly in AI curriculum transformation and feminist theory in academia—underscore her reputation as an influential voice in transforming accounting education and research. These accolades, combined with her extensive mentorship of postgraduate students, highlight her standing as an exemplary and impactful researcher in her field.

Research Focus

Dr. Aneetha Sukhari’s research lies at the intersection of accounting, artificial intelligence, sustainability, and curriculum transformation. Her scholarly work investigates the value relevance of business model and digitalization disclosures in integrated reports, particularly using natural language processing (NLP) techniques. Her PhD work reflects a pioneering effort in aligning accounting practices with Fourth Industrial Revolution (4IR) advancements. She is actively involved in projects exploring AI’s role in public sector governance, feminist and Africanist approaches to curriculum design, and how emerging technologies can support the United Nations Sustainable Development Goals in Africa. Her supervision of master’s theses further aligns with her interests in corporate responsibility, CSR disclosures, and financial governance in both private and public institutions. Through her research, Dr. Sukhari is advancing the frontiers of accounting science and shaping its relevance in an AI-driven, globally conscious future.

📚 Top Noted Publications

Dr. Sukhari’s publications focus on the intersection of integrated reporting, business model disclosures, and digitalization within the evolving corporate reporting landscape. Her works include:

📘 1. Sukhari, A., Coetsee, D. & Ade-Ibijola, A. (2023)

Title: The value relevance of digitalization disclosure in integrated reports: A South African perspective
Journal: The International Journal of Digital Accounting Research, Volume 23, pp. 69–96
DOI: [Check publisher’s site]
Cited by: 7 articles

Abstract Summary:
This paper investigates how digitalization-related disclosures in integrated reports affect the value relevance of information provided to investors in South Africa. Using a sample of integrated reports from South African firms, the study evaluates the extent, quality, and investor response to digitalization disclosures.

Key Contributions:

  • Highlights the growing importance of digital transformation in corporate reporting.

  • Demonstrates that meaningful disclosure of digitalization strategies and initiatives correlates positively with firm valuation metrics.

  • Offers insights for regulators and practitioners on improving reporting standards for digital innovation.

📘 2. Sukhari, A. & Villiers, C. (2018)

Title: The influence of integrated reporting on business model and strategy disclosures
Journal: Australian Accounting Review, Volume 29, Issue 4, pp. 708–725
DOI: https://doi.org/10.1111/auar.12241
Cited by: 45 articles

Abstract Summary:
This study explores how the adoption of integrated reporting has influenced the disclosure of business models and strategies by companies. It provides evidence from publicly listed companies that adopted the International Integrated Reporting Framework (IIRF).

Key Contributions:

  • Shows that integrated reporting leads to improved transparency in business model and strategic disclosures.

  • Discusses how IR encourages a more holistic and forward-looking approach to corporate communication.

  • Identifies challenges and variations in implementation across firms and sectors.

Conclusion

Dr. Aneetha Sukhari is eminently suitable for the Best Researcher Award. She demonstrates a rare blend of academic rigor, professional experience, innovative research in 4IR and digital auditing, leadership in curriculum transformation, and an impactful presence in both higher education and public sector governance.

 

TaiLong Lv | Computer Science and Artificial Intelligence | Best Researcher Award

TaiLong Lv | Computer Science and Artificial Intelligence | Best Researcher Award

Mr Lu Tailong, Xi’an University of Posts and Telecommunications, China

Based on the provided information, Mr. Tailong Lv appears to have a solid academic and research background, but whether he is a suitable candidate for the Best Researcher Award would depend on various factors such as the scope of his contributions, the significance of his research, and his overall impact. Below is an analysis of his qualifications:

Publication profile

Orcid

Educational Background

Mr. Tailong Lv holds a Bachelor’s degree in Automation from Henan University of Urban Construction and is currently pursuing a Master’s degree in Mechanical Engineering at Xi’an University of Posts and Telecommunications. His educational background shows strong technical skills in automation and mechanical engineering, which are highly relevant to his research on human activity recognition.

Research Projects

His primary research involves developing a deep learning-based neural network for human activity recognition. This project is technically sophisticated, as it focuses on optimizing neural networks to improve accuracy in recognizing both simple and complex human actions. This level of complexity shows his ability to handle advanced machine learning and AI concepts, making his research valuable in fields like robotics, healthcare, and automation.

Awards and Scholarships

Mr. Tailong Lv has been recognized with scholarships from Xi’an University of Posts and Telecommunications in 2022 and 2023. These awards demonstrate his academic excellence and indicate that he is a strong performer within his institution.

Publication

His publication, “Multihead-Res-SE Residual Network with Attention for Human Activity Recognition,” is an impressive achievement. This peer-reviewed article, published in Electronics, showcases his contribution to deep learning and neural networks. Collaborative work with other experts also highlights his ability to work in a team and contribute to impactful research.

Skills

His proficiency in Python and deep learning neural networks, as well as his fluency in English, are essential skills for international collaboration and publishing. These competencies make him a versatile researcher capable of tackling modern challenges in AI and automation.

Conclusion

Mr. Tailong Lv has demonstrated academic excellence, technical expertise, and research accomplishments that make him a strong candidate for research-based recognition. However, the Best Researcher Award typically requires groundbreaking contributions or a significant body of work. While he shows promise, his current profile might be better suited for emerging researcher or early-career researcher awards rather than the highest accolades in research.

Publication top notes

Multihead-Res-SE Residual Network with Attention for Human Activity Recognition

 

Yasin Fatemi | Computer Science and Artificial Intelligence | Best Researcher Award

Yasin Fatemi | Computer Science and Artificial Intelligence | Best Researcher Award

Mr Yasin Fatemi, Auburn University, United States

Based on the details provided, Mr. Yasin Fatemi is a highly suitable candidate for a Researcher of the Year Award.

Publication profile

google scholar

Educational Background 📚

Mr. Fatemi has a robust academic foundation with a Ph.D. in Industrial and Systems Engineering from Auburn University, where he has maintained a perfect GPA of 4.0. His ongoing M.Sc. in Data Science further complements his expertise, and he also holds an M.Sc. and B.Sc. in Industrial and Systems Engineering from Tarbiat Modares University and the University of Kurdistan, respectively. This diverse and interdisciplinary educational background supports his innovative research in healthcare and systems optimization.

Research Experience and Contributions 🔬

Mr. Fatemi’s research is both extensive and impactful. His recent work involves using machine learning and network analysis to address critical healthcare issues such as low birth weight prediction, racial disparities in maternal outcomes, and cardiovascular death among liver transplant recipients. These projects showcase his ability to apply advanced analytical methods to real-world problems, significantly contributing to the fields of healthcare and data science. His studies have utilized cutting-edge techniques such as Recursive Feature Elimination, SHapley Additive exPlanations (SHAP), and network feature analysis, highlighting his technical prowess and innovation.

Publications and Academic Output 📝

Mr. Fatemi has authored several peer-reviewed articles, contributing to reputable journals like Frontiers in Public Health and Journal of Multidisciplinary Healthcare. His research on the stress and compensation perceptions of frontline nurses during the COVID-19 pandemic, as well as his work on hospital smart notification systems, demonstrates his commitment to improving healthcare environments and outcomes. His publications reflect his ability to tackle diverse and pressing issues, making him a significant contributor to the academic community.

Technical and Academic Skills 🛠️

Mr. Fatemi’s technical skills are impressive, encompassing data analysis tools like Python, R, and SQL, and specialized software for simulation and optimization. His expertise in machine learning, statistical learning, and network analysis is evident in his research outputs, further establishing his credibility as an innovative researcher.

Conclusion

Mr. Yasin Fatemi’s strong educational background, extensive research experience, and impactful contributions to healthcare and data science make him an excellent candidate for a Best Researcher Award. His ability to apply complex analytical techniques to critical issues in healthcare and his consistent academic excellence underscore his suitability for this recognition.

Publication top notes

Investigating frontline nurse stress: perceptions of job demands, organizational support, and social support during the current COVID-19 pandemic

Listening to the Voice of the hospitalized child: comparing children’s experiences to their parents

The Cost of Frontline Nursing: Investigating Perception of Compensation Inadequacy During the COVID-19 Pandemic

ChatGPT in Teaching and Learning: A Systematic Review

Machine Learning Approach for Cardiovascular Death Prediction among Nonalcoholic Steatohepatitis (NASH) Liver Transplant Recipients

Evaluating a Hospital Smart Notification System in a Simulated Environment: The Method

Machine Learning Approaches for Cardiovascular Death Prediction Among Nash Liver Transplant Recipients

 

 

Atabek Atabekov | Artificial Neural Networks | Best Researcher Award

Atabek Atabekov | Artificial Neural Networks | Best Researcher Award

Dr Atabek Atabekov, RUDN, Russia

Dr. Atabek Atabekov, born on May 28, 1992, in Moscow, is a distinguished professional with expertise in law and economics. He holds a PhD in Economic Sciences and a Master’s in Administrative and Financial Law from RUDN University. Dr. Atabekov has held notable positions, including Deputy Head of the Department of Target Programs at the Central Research Institute “ELECTRONICS” and Deputy Head of Department at the Federal Antimonopoly Service. He is currently an Associate Professor at RUDN University and an advisor to the CEO at GAZPROM VNIIGAZ LLC. A finalist in the 2023 Leaders of Russia Competition, he has received multiple commendations for his work. 🏆📚🤖

Publication profile

Scopus

Education

A dedicated scholar at the Federal State Autonomous Educational Institution of Higher Education “RUDN University,” specializing in legal regulation of artificial intelligence, is set to publicly defend their doctoral research on 09/25/24 📚🤖. They hold multiple degrees from RUDN University, including a Master’s in Administrative and Financial Law (2019) 🎓, a Ph.D. in Economic Sciences (Innovation and Biotechnology, 2017) 🌱🔬, and a Translator in Professional Activity (2014) 🌐. Additionally, they have degrees in Jurisprudence (2014) ⚖️ and Accounting and Auditing (2014) 💼. This diverse educational background highlights their multifaceted expertise and dedication to their field.

Experience

📚 With a robust academic and professional background, this individual has been an Associate Professor in the Department of Administrative and Financial Law at RUDN University since January 2019. 📊 From Dec. 2017 to Feb. 2019, they served as Deputy Head of the Department of Target Programs at the Central Research Institute “ELECTRONICS.” Prior to this, they held roles at the Federal Antimonopoly Service and GAZPROM VNIIGAZ LLC. 🎓 Their academic achievements include a PhD in Economic Sciences (2017) and a Master’s in Administrative and Financial Law (2019) from RUDN University, with ongoing doctoral research in the legal regulation of artificial intelligence. 💼

Research focus

Atabekov A.’s research focus centers on the legal and public sector implementation of artificial intelligence (AI). This includes examining current practices and potential common measures for AI deployment across continents and regions. Atabekov explores the legal status and definitions of AI, analyzing how various countries incorporate AI in their public sectors. His work, often conducted in collaboration with others like Yastrebov O., also delves into the evolving legislation around AI. His contributions aim to understand and guide the integration of AI within societal frameworks, ensuring legal and ethical considerations are addressed. 🌍⚖️🤖📜.

Publication top notes

Public Functions Implementation by Artificial Intelligence: Current Practices and Prospects for Common Measures within Particular Periods across Continents and Regions

Artificial Intelligence in Contemporary Societies: Legal Status and Definition, Implementation in Public Sector across Various Countries

Legal status of artificial intelligence across countries: Legislation on the move

 

 

Simon Wong | Computer Science and Artificial Intelligence | Best Researcher Award

Simon Wong | Computer Science and Artificial Intelligence | Best Researcher Award

Dr Simon Wong, College of Professional and Continuing Education, the Hong Kong Polytechnic University, Hong Kong

Dr. Simon Wong is a distinguished educator with a Doctor of Education from the University of Leicester, UK. His extensive academic background includes an M.Phil. from PolyU and a Bachelor’s in Computer Science from the University of Minnesota, USA. Dr. Wong serves as a lecturer at CPCE, PolyU, and holds professional certifications in financial technology and Oracle. His industrial experience spans roles as a senior consultant and software engineer. Dr. Wong has led numerous academic programs and research initiatives, specializing in subjects like database systems, e-commerce, and cloud computing. He is a committed member of professional organizations and has significantly contributed to academic management and leadership. 🌟🎓💼

Publication profile

Orcid

Academic Qualifications

Dr.  holds a Doctor of Education from the University of Leicester, UK (2012), where they researched effective online learning in Hong Kong higher education institutions, supervised by Prof. Paul Cooper 🎓📚. They also earned a Master of Philosophy from PolyU (1997), focusing on designing and analyzing a bypass construction algorithm for self-healing asynchronous transfer mode networks under the guidance of Dr. K. C. Chang and Prof. Keith Chan 📘💡. Additionally, they graduated with distinction in Computer Science from the University of Minnesota, Twin Cities, USA (1993) 🎓💻.

Experience

With extensive experience in the tech industry, the individual served as a Senior Consultant at Oracle Systems Hong Kong Ltd (Aug 2000 – Sep 2003) 🏢, a Software Engineer at Skyworld Technology Ltd (Jun 1993 – May 1994) 💻, and a Consultant at the Microcomputer Laboratory, University of Minnesota (Sep 1991 – Mar 1993) 📊. Since Sep 2003, they have been a Lecturer at CPCE, PolyU 📚, and previously held roles as a Lecturer (Sep 1998 – Aug 2000) 👨‍🏫, Demonstrator (Sep 1996 – Aug 1998) 🔬, and Research Student (Jun 1994 – Jun 1996) 🎓 in the Department of Computing at PolyU.

Awards

With an illustrious career marked by numerous accolades and significant research contributions, I have received the Best Paper Awards in 2018, 2019, and 2023 🎉📚. I have successfully led and contributed to various high-impact projects, including those funded by the Quality Education Fund and CPCE 🏆💡. My roles have ranged from Associate Academic Director to Co-Investigator and Consultant, focusing on innovative technologies like AI, blockchain, and machine learning 🤖🔗. My work has significantly advanced educational technology and pedagogy, earning over HK$2 million in funding for projects aimed at improving learning experiences and outcomes 🎓💼.

Research focus

Simon Wong’s research focus is on the integration of blockchain technology in supply chain management, emphasizing sustainability. His work includes examining the adoption of blockchain integrated with cloud-based systems and machine learning to enhance sustainable practices in supply chains. Through critical literature reviews and case studies, Wong investigates the technical sustainability and implications of blockchain technology. His research aims to provide insights into the practical applications and benefits of blockchain for improving transparency, efficiency, and sustainability in supply chain operations. 🌐📦🔗📊🌿

Publication top notes

A Critical Literature Review on Blockchain Technology Adoption in Supply Chains

A Case Study of How Maersk Adopts Cloud-Based Blockchain Integrated with Machine Learning for Sustainable Practices

Technical Sustainability of Cloud-Based Blockchain Integrated with Machine Learning for Supply Chain Management

Sustainability of Blockchain Technology in Supply Chains: Implications from a Critical Literature Review

 

William Lawless | Computer Science and Artificial Intelligence | Best Researcher Award

William Lawless | Computer Science and Artificial Intelligence | Best Researcher Award

Dr William Lawless, Paine College, United States

W.F. Lawless is a pioneering mechanical engineer known for blowing the whistle on nuclear waste mismanagement in 1983. He earned his PhD in 1992, focusing on organizational failures among leading scientists. Invited to join the DOE’s citizens advisory board at Savannah River Site, he coauthored key recommendations for environmental remediation. His research centers on autonomous human-machine teams, and he has edited nine influential books on AI, including the award-nominated Human-Machine Shared Contexts. With over 300 peer-reviewed publications, he has organized multiple symposia and special issues, contributing significantly to the field of artificial intelligence. 🔬🤖📚

Publication profile

Orcid

Research focus

William Lawless’s research focuses on the dynamics of human-machine collaboration, particularly in the context of autonomy and uncertainty. His work explores how knowledge, risk perception, and interdependence influence the effectiveness of autonomous teams. By examining models that integrate quantum-like principles, he aims to enhance our understanding of decision-making processes within complex systems. His publications highlight the essential tension between knowledge and uncertainty, proposing new frameworks for improving human-machine interactions. This interdisciplinary approach bridges technology and human factors, contributing significantly to fields like robotics, artificial intelligence, and human-computer interaction. 🤖📊🔍

Publication top notes

Shannon Holes, Black Holes, and Knowledge: The Essential Tension for Autonomous Human–Machine Teams Facing Uncertainty

A Quantum-like Model of Interdependence for Embodied Human–Machine Teams: Reviewing the Path to Autonomy Facing Complexity and Uncertainty

Risk Determination versus Risk Perception: A New Model of Reality for Human–Machine Autonomy