Ms. Vidushi Sharma | Automation | Women Researcher Award

Ms. Vidushi Sharma | Automation – Project Manager at Artech LLC, United States

Vidushi Sharma is a distinguished technology leader and researcher with over 15 years of impactful experience across diverse industries including banking, healthcare, retail, and finance. She is known for blending cutting-edge research in Artificial Intelligence (AI), Machine Learning (ML), and Robotic Process Automation (RPA) with enterprise-scale digital transformation. Sharma has consistently demonstrated the ability to drive innovation and implement technology solutions that deliver measurable results. Her unique blend of academic rigor and practical leadership makes her a prominent figure in the global digital landscape.

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Education:

Vidushi Sharma holds a Bachelor’s degree in Information Technology, which provided a solid foundation in computer science and systems engineering. She further enhanced her managerial acumen with a Postgraduate Diploma in Human Resource Management, facilitating her ability to lead teams and manage organizational change. In addition to formal academic qualifications, she has earned several professional certifications including Google Cloud, SAFe Agile, Artificial Intelligence and Machine Learning, ITIL v3, and UiPath RPA, making her a highly versatile and forward-thinking researcher and practitioner.

Experience:

With a professional journey spanning over 15 years, Sharma has served in senior leadership and technology roles at top-tier companies such as Citigroup, Vanguard, Tech Mahindra, NCR Corporation, IBM, and Hewitt Associates. In her current role as Program Delivery Manager at Citigroup, she leads global transformation initiatives involving automation, AI, and cloud migration. Her career includes successfully managing large-scale digital projects, transforming business operations through DevOps, and enhancing productivity through RPA and intelligent automation. Her proven expertise in tools like JIRA, Confluence, and ServiceNow supports Agile and scalable project delivery.

Research Interest:

Vidushi Sharma’s research interests center on the integration of Artificial Intelligence and Robotic Process Automation into traditional business workflows, particularly in sectors such as healthcare, fintech, retail, and HR. Her work explores how intelligent systems can optimize operations, improve decision-making, and provide cost-efficient solutions. She also investigates human-machine collaboration, ethical AI deployment, and the scalability of automation across sectors. Her early research in epidemiology and chemistry highlights her interdisciplinary strength and scientific curiosity, enabling her to address complex problems with holistic approaches.

Awards:

Sharma’s innovative contributions have been widely recognized. She received the Outstanding Digital Innovation of the Year 2024 award from Asia International Research, which acknowledges groundbreaking work in automation and AI for enterprise solutions. Other honors include the Standing Ovation Award, Bravo Award, and Achiever’s Award from industry leaders, affirming her excellence in program management, team leadership, and strategic innovation. Her consistent receipt of team and individual awards across her career reflects her dedication to excellence, collaboration, and transformative leadership.

Publications:

🧬 “Epidemiology of Chronic Suppurative Otitis Media and Deafness in a Rural Area” – The Indian Journal of Pediatrics, 1995, Cited by 61
🧪 “Synthesis, Characterization and Biological Activity of a Novel Schiff Base” – Journal of Molecular Structure, 2024, Cited by 9
💻 “Online Education During COVID-19 Pandemic: Challenges and Solutions” – Turkish Online Journal of Qualitative Inquiry, 2021, Cited by 3
🤖 “AI and RPA in Financial Services – Enhancing Fraud Prevention” – International Journal of Multidisciplinary Research in Global Environment (IJMRGE), 2024
🏪 “The Future of Automation in FinTech: Hyper-Automating Operations” – International Journal of Innovative Research in Computer and Technology (IJIRCT), 2025
🏥 “AI-Powered RPA in Healthcare – Improving Patient Outcomes” – IJMRGE, 2024
🛒 “Impact of Automation on Retail Logistics – AI Solutions for Supply Chains” – International Journal of Scientific Research and Engineering Management (IJSREM), 2023

Conclusion:

Vidushi Sharma represents a unique blend of research intelligence, technological mastery, and leadership capability. Her journey from early scientific research to pioneering AI and automation in global enterprises demonstrates her adaptability and vision. Through her work, she exemplifies the transformative power of women in research and innovation. Her commitment to advancing knowledge and solving real-world problems positions her as an ideal recipient of the Women Researcher Award. Sharma’s contributions are not just impactful—they are inspirational, paving the way for future generations of female scientists and tech leaders.

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.

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.