Xiaole Han | Blockchain | Best Researcher Award

Mr. Xiaole Han | Blockchain | Best Researcher Award

Mr. Xiaole Han | Blockchain – PHD student at SEGi University, Malaysia

Han Xiaole is a dedicated researcher and innovator in the field of blockchain technology and its application in supply chain management. With a solid background in engineering and a research-driven mindset, Han has been instrumental in advancing the practical implementation of blockchain systems to improve operational efficiencies across industries. His work bridges technical engineering with management science, reflecting a unique interdisciplinary strength that sets him apart. Han combines his hands-on experience in blockchain R&D with academic rigor, aiming to promote sustainable technological adoption and policy development in emerging economies.

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Education

Han is currently pursuing a Ph.D. in Management Science at SEGi University, where his academic journey is focused on the study of blockchain adoption within supply chain management, particularly for small and medium-sized enterprises (SMEs). His thesis, titled “Blockchain Adoption in Supply Chain Management: Multi-Level Determinants and Policy Implications”, explores the intersection of technology, organizational behavior, and policy. Under the supervision of Dr. Gooi Leong Mow, Han has employed sophisticated methodologies such as Partial Least Squares Structural Equation Modeling (PLS-SEM) and multi-level modeling to investigate the barriers and enablers of blockchain adoption from individual, organizational, and societal perspectives.

Experience

From 2018 to 2020, Han worked as a Blockchain R&D Engineer at the HPB Foundation, where he led several core initiatives. He played a key role in the development of High-Performance Blockchain (HPB) hardware, specifically the BOE acceleration engine, which significantly improved transaction throughput, achieving over 5,000 transactions per second with latency below 100 milliseconds. Additionally, he designed a dual-layer consensus mechanism that balanced decentralization with performance, and created smart contract protocols to enhance data traceability and integrity within supply chains. His technical contributions not only improved blockchain performance but also aligned with real-world industry needs, making his work highly impactful in the enterprise context.

Research Interest

Han’s research interests lie at the intersection of blockchain technology, supply chain management, and innovation policy. He is particularly interested in how blockchain can be sustainably adopted across different levels of an organization and society, including technological readiness, organizational capability, user perception, and regulatory frameworks. His research investigates how SMEs can overcome barriers to adopting emerging technologies and leverage blockchain to gain competitive advantage through enhanced transparency, traceability, and trust. Han’s academic work contributes to filling critical gaps in technology adoption models by integrating multi-level analytical frameworks with blockchain-specific trust and governance mechanisms.

Award

Han Xiaole has been nominated for the [Award Name Placeholder] based on his contributions to blockchain research and innovation. His work exemplifies a blend of theoretical depth and practical application, making a significant contribution to the advancement of supply chain resilience through technology. This nomination reflects his exceptional research impact, technological creativity, and potential for future leadership in the field of management science and digital innovation.

Publications 📚

“Multi-Level Determinants of Sustainable Blockchain Adoption in SCM”Sustainability, 2025. 🌱🔗DOI: 10.3390/su17062621 | Cited by 23 articles (Google Scholar, 2025) | Integrates individual, organizational, and societal frameworks with blockchain trust models to explain adoption patterns.

Conclusion

Han Xiaole’s career reflects a powerful synergy between advanced research and real-world application. His contributions to blockchain technology, particularly in the context of supply chain management, demonstrate both visionary thinking and technical acumen. Through rigorous academic inquiry and practical innovation, he has helped shape the conversation around sustainable and scalable blockchain adoption. With a strong publication record, technical expertise, and a deep understanding of industry dynamics, Han continues to make a lasting impact in the fields of digital transformation and management science. His work not only advances academic theory but also provides actionable insights for businesses and policymakers navigating the digital economy.

 

Sajad Zandi | Distributed Network | Best Researcher Award

Mr. Sajad Zandi | Distributed Network | Best Researcher Award

Mr. Sajad Zandi ,University of technology Sydney, Australia

Sajad Zandi is affiliated with the University of Technology Sydney in Australia. He specializes in [mention his field or area of expertise, if known]. With a background in [mention any relevant educational or professional background], Mr. Zandi contributes to [mention any notable contributions or areas of focus]. His research interes

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Education:

Master of Electrical Engineering – Telecommunication,Malayer University, Hamadan, Iran,Sep. 2014 – Sep. 2017,GPA: 17.33 out of 20,Bachelor of Telecommunication Engineering (Transmission),Safahan Institute of Higher Education, Esfahan, Iran,Sep. 2009 – Jul. 2011,GPA: 16.76 out of 20,Associate of Telecommunication – Data Communication,Hormozgan University, Hormozgan, Iran,Jan. 2007 – Sep. 2009,GPA: 16.30 out of 20

Experience:

Researcher, R&D Department,SINA Innovative Communications System Company, Tehran, Iran,Dec. 2021 – Present,Technical Project Manager,Nokia-OM International Company, Tehran, Iran,Nov. 2017 – Dec. 2019,Researcher,Nabius International Institution, Esfahan, Iran,Jul. 2011 – Sep. 2014

Research Focus:

Your recent research collaborations are primarily focused on:,Diffusion algorithms in signal processing,Adaptive filters for sparse system identification over distributed networks,Demand-side management algorithms,Robust algorithms for impulsive noise environments

Skills:

Operating Systems: Proficient in Microsoft Windows and Linux,Programming Languages: C, C++, Java, Matlab, R, Python,Scientific Software: LabVIEW,Signal Processing: Deep learning, machine learning, computer vision,Other Skills: Technical project management, wireless network administration

Awards:

  • Reviewing Journal of Signal Processing Award (Mar. 2023)
  • TOEFL iBT (home edition): Overall score 102 (Dec. 2021)

 publications:

    • You have several publications in reputable journals, including IEEE Transactions and Springer journals, focusing on various aspects of signal processing, adaptive filters, and demand-side management algorithms.

    References:

    • Dr. Mehdi Korki
      • Senior Researcher, School of Science, Swinburne University of Technology, Australia
      • Email: mkorki@swin.edu.au
    • Dr. Vahideh Montazeri
      • Assistant Professor, Department of Artificial Intelligence, Smart University of Medical Sciences, Tehran, Iran