About
Dr. Smriti Priya Medhi is an accomplished academic, researcher, and educator in the field of Computer Science and Engineering, with a strong interdisciplinary research orientation spanning Artificial Intelligence, Natural Language Processing, Machine Learning, and intelligent systems. Currently serving as an Assistant Professor in the Department of Computer Science and Engineering at Assam Don Bosco University, Guwahati, she has been contributing to teaching, research, mentoring, and academic innovation since 2015.
A significant milestone in her academic journey is the successful completion of her Ph.D. in Information Technology with specialization in Natural Language Processing from Gauhati University (2019–2026). Her doctoral research reflects her commitment to advancing NLP for low-resource and indigenous languages, an area of substantial importance for inclusive and culturally relevant Artificial Intelligence. Her academic foundation also includes an M.Tech. in Computer Science & Engineering with specialization in Artificial Intelligence from Assam Don Bosco University, completed with a GPA of 8.4/10, and a B.Tech. in Computer Science & Engineering, completed with a GPA of 8.39/10.
Dr. Medhi's research profile demonstrates a clear emphasis on applying emerging AI technologies to real-world challenges. Her work in AI and NLP includes the development of AI-powered authorship attribution models for low-resource languages, contributing to text attribution, language technologies, and indigenous-language NLP research. Her research interests further extend to Machine Learning and Deep Learning, Low-Resource Language Technologies, Computer Vision, Bio-inspired Computing, IoT and Intelligent Systems, Data Science, and Human–AI Interaction.
Another notable aspect of her research portfolio is its interdisciplinary and application-driven nature. She has explored AI for agriculture, including AI and deep learning models for plant disease detection and IoT-based smart-farm monitoring, demonstrating the potential of intelligent technologies for precision agriculture. Her work in AI for healthcare, particularly the development of deep learning approaches for early detection of colon cancer, highlights the application of computational intelligence to critical healthcare challenges. Her contributions to IoT and bio-inspired intelligent systems further demonstrate her ability to connect computational research with environmental monitoring and practical technological applications.
Her professional achievements include 15+ research publications, participation in 10+ international conferences, and two patents, comprising one granted and one published patent. These accomplishments reflect sustained engagement with the research community and dissemination of scholarly work through international platforms, including IEEE and Springer conferences and Scopus-indexed journals and LNCS volumes.
Equally significant is her contribution as an academic mentor and educator. Her profile reflects a sustained commitment to nurturing young minds, promoting research culture, and encouraging innovation among students. Her work demonstrates a meaningful integration of teaching, research, and technology-driven problem solving.
Overall, Dr. Medhi's profile represents a progressive academic journey from foundational engineering education to doctoral-level research and interdisciplinary AI applications. Her strongest distinguishing feature is the translation of AI and NLP research into real-world and socially relevant applications, particularly in low-resource languages, agriculture, healthcare, and intelligent systems. Her trajectory reflects a commitment to advancing inclusive, human-centric, and impact-oriented AI research, positioning her as a promising contributor to the evolving landscape of Artificial Intelligence and Natural Language Processing.
Employment
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Assam Don Bosco University Assistant Professor2015 - Present
Education
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Gauhati University PhD2019 - 2026
Projects & Funding
Projects & funding information is unavailable.
Publications (16)
- An android app for automated diagnosis of cataract using AI-based approaches Save
- Flavornet: An AI driven comprehensive platform for cataloging, identifying and accessing Natural Flavor compounds in Fermented Foods Save
- SOHI: A Dataset Of Offline Handwritten Assamese Signatures Save
- Ensemble Deep Learning for Author Attribution in Assamese Text Documents: A Hybrid Approach Save
- Automatic author attribution of different languages: A review Save
- Neural Network-Based Author Attribution for Assamese Language: Insights from RNN and GRU Architectures Save
- Utilizing CNN-Based architecture for Automated Differentiation between Gram-Positive and Gram-Negative Bacteria Save
- A Machine Learning Approach for Detection and Classification of Colon Cancer using Convolutional Neural Network Architecture Save
- A Guava Leaf Disease Identification Application Save
- Authorship Attribution for Assamese Language Documents: Initial Results Save