Dr. Lipi Bhuyan

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Dr. Lipi Bhuyan


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I am a researcher and academic specializing in commerce, sustainability, and traditional industries. She holds a Master’s in Commerce from Gauhati University and an M.Phil. from the Department of Commerce, Dibrugarh University. Currently, she is a full-time Ph.D. scholar at Dibrugarh University, focusing on the bell and brass metal industry of Assam, with research on supply chain management, marketing, and sustainable practices.

With nearly two years of teaching experience and extensive field research, I have worked closely with artisans, shopkeepers, and communities to analyze market trends, craft sustainability, and rural business dynamics. Her work bridges traditional knowledge with modern analytical frameworks to promote sustainable growth and cultural preservation.

FUTURE PROJECTS

“Sustainability and Efficiency in the Supply Chain of Assam’s Bell and Brass Metal Industry”

The bell and brass metal industry of Assam represents a significant segment of the region’s traditional handicraft sector, contributing to both cultural heritage and local livelihoods. However, challenges such as fragmented supply chains, resource inefficiencies, and competition from mass-produced alternatives affect its sustainability and operational effectiveness. This study examines the supply chain of Assam’s bell and brass metal industry, focusing on the flow of raw materials, production processes, distribution channels, and market dynamics. Using a combination of field surveys, interviews with artisans and shopkeepers, and secondary data analysis, the research identifies key bottlenecks and areas for improvement. The study also explores strategies for enhancing efficiency, reducing waste, and promoting sustainable practices while preserving traditional craftsmanship. The findings provide actionable insights for policymakers, industry stakeholders, and artisans to strengthen the s


Applications Invited
Academician

“Data-Driven Insights into Indigenous Food Practices and Culinary Traditions of Northeast India”

Northeast India is home to a rich tapestry of indigenous food systems and diverse culinary traditions shaped by unique cultural, ecological, and ethnic influences. Despite their significance, systematic documentation and analysis of these food practices remain limited. This study employs machine learning techniques to analyze patterns, preferences, and relationships within the region’s traditional cuisines. By integrating data from ethnographic records, culinary surveys, and digital repositories, the research identifies key ingredients, cooking methods, and cultural factors that define regional food identities. The findings not only provide data-driven insights into the diversity and evolution of indigenous food practices but also offer implications for preserving culinary heritage, promoting sustainable food systems, and guiding innovation in regional gastronomy. This approach demonstrates the potential of computational tools in bridging traditional knowledge and modern analytical fra


Applications Invited
reseach scholar and academician