Maksym Lazirko | Business Management and Accounting | Best Researcher Award

Prof. Dr. Maksym Lazirko | Business Management and Accounting | Best Researcher Award

Professor | Rutgers University | United States 

Prof. Dr. Maksym Lazirko is an emerging scholar at Rutgers University whose research spans accounting information systems, quantum technologies, emerging technologies, and environmental risk. With a growing academic presence, he has authored 8 publications that collectively reflect 15 citations, an h-index of 2, and an expanding interdisciplinary footprint. His work consistently integrates advanced computational methods with contemporary issues in financial integrity, regulatory compliance, and technological transformation, positioning him at the intersection of accounting innovation and frontier science.Lazirko’s contributions include pioneering studies on quantum computing applications within accounting information systems most notably the article Quantum Computing Standards & Accounting Information Systems which has accrued significant early citation momentum. His research on quantum-inspired cost accounting published in the Journal of Decision Science and Optimization offers an original application of the time-independent Schrödinger equation to model work-in-process dynamics marking a unique methodological advancement. In collaboration with leading scholars such as Miklos A. Vasarhelyi and Deniz Appelbaum he co-developed the “double-helix framework” for proof-of-reserves published in The British Accounting Review contributing to global discourse on cryptocurrency assurance and transparency.His analytical reach extends to metaverse-era AIS applications the integration of AR/VR technology and unsupervised outlier detection in audit analytics using large-scale government spending data. These lines of research demonstrate his commitment to leveraging emerging technologies to strengthen audit quality enhance digital accountability and support data-driven decision-making. His work on Natech disasters co-authored with A. Gates and published in the Journal of Risk Research establishes a continuous monitoring and reporting framework that bridges environmental science with corporate risk governance reflecting broader societal relevance.Lazirko’s scholarly network includes collaborations with researchers across accounting earth sciences computer science and financial technologies highlighting his interdisciplinary orientation. His early but impactful publication record combined with research spanning quantum accounting Web 3.0 compliance metaverse-enabled AIS and environmental risk analytics underscores his potential to influence both academic developments and industry practices. Through these contributions Lazirko advances global conversations on technological governance digital resilience and the evolution of next-generation accounting systems.

Profiles : Scopus | Google Scholar

Featured Publications

1.Lazirko, M. (2023). Quantum computing standards & accounting information systems. arXiv. Cited By :7

2.Lazirko, M. (2025). The quantum dynamics of cost accounting: Investigating WIP via the time-independent Schrödinger equation. Journal of Decision Science and Optimization, 1(1), 35–54. Cited By :4

3.Lazirko, M., Appelbaum, D., & Vasarhelyi, M. (2025). Proof of reserves: A double-helix framework. Cited By : 2

4.Lazirko, M. (2025, June 12). AIS is in the age of the metaverse: Applications of AR/VR technology. VR Technology. Cited By : 2

5.Li, B., Kaplan, B., Lazirko, M., & Kogan, A. (2025). Unsupervised outlier detection in audit analytics: A case study using USA spending data. arXiv.

Lazirko’s work advances the scientific foundations of next-generation accounting systems by integrating quantum technologies, AI, and emerging digital infrastructures, driving global innovation in financial transparency and computational governance.

Prof. Dr. Wei Fang | Analytics Award | Best Researcher Award

Prof. Dr. Wei Fang | Analytics Award | Best Researcher Award

Prof. Dr. Wei Fang, Nanjing University of Information Science & Technology, China

Prof. Dr. Wei Fang is a Professor in the Department of Computer Science at Nanjing University of Information Science & Technology, China, and a member of the State Key Laboratory for Novel Software Technology, Nanjing University. He holds a Ph.D. and M.Sc. in Computer Science from Soochow University. Wei was a visiting scholar at the University of Florida in 2015-2016. His research interests include Artificial Intelligence, Big Data, Data Mining, and Meteorological Information Processing. He has led several research projects funded by the National Natural Science Foundation of China and is an active reviewer for international journals. Wei is a senior member of the CCF and ACM.

Professional Profile:

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Summary of Suitability for Best Researcher Award – Prof. Wei Fang

Prof. Wei Fang of Nanjing University of Information Science & Technology stands out as a highly meritorious candidate for the Best Researcher Award. With a solid academic foundation, national and international research exposure, and extensive contributions in Artificial Intelligence, Big Data, Computer Vision, and Applied Meteorology, his work bridges theoretical innovation with real-world application.

🎓 Education

  • Ph.D. in Computer Science – Soochow University, China

  • M.Sc. in Computer Science – Soochow University, China

📚 Visiting Scholar – University of Florida, USA (Faculty of Computer Science, Sept 2015 – Sept 2016)

💼 Work Experience

  • 👨‍🏫 Professor, Department of Computer Science, NUIST

  • 🧪 Affiliated with the State Key Lab for Novel Software Technology, Nanjing University

  • 🤝 Program Committee Member for multiple international conferences

  • 📝 Reviewer for various international journals

  • 🌍 International Research Scientist

🏆 Achievements & Honors

  • 🧠 Recognized for impactful research in:

    • Artificial Intelligence 🤖

    • Big Data & Cloud Computing ☁️📊

    • Computer Vision 👁️

    • Applied Meteorology 🌦️

  • 🔬 Project Leader of national and industrial research projects funded by:

    • National Natural Science Foundation of China

    • Guodian Nari Nanjing Control System Co., Ltd.

    • Baoshan Iron and Steel Co., Ltd.

  • 🎖️ Senior Member of CCF (China Computer Federation) & ACM

  • 📈 Cited in SCI-indexed journals

Publication Top Notes:

A rapid learning algorithm for vehicle classification

CITED: 562

A Method for Improving CNN-Based Image Recognition Using DCGAN.

CITED: 230

Efficient feature selection and classification for vehicle detection

CITED: 220

A survey of big data security and privacy preserving

CITED: 117

Survey on research of RNN-based spatio-temporal sequence prediction algorithms

CITED: 100