The CLC Lab (Culture–Language–Life Computing Lab) is a research group in the Department of Computer Science and Engineering at the Indian Institute of Information Technology Kottayam. The lab brings together faculty members, research scholars, and students who are interested in exploring interdisciplinary research at the intersection of computing, culture, language, and life sciences.
The lab aims to develop computational approaches that address real-world problems spanning cultural heritage, language technologies, and healthcare informatics. By combining ideas from artificial intelligence, machine learning, natural language processing, and data science, the lab seeks to create innovative solutions that contribute to both scientific research and societal impact.
The CLC Lab encourages collaborative research and discussion among scholars from diverse backgrounds. Current and ongoing projects in the lab include the automatic interpretation of Kathakali mudras, Ayurgenomics, and speech and text processing in Indian languages, reflecting the lab’s commitment to integrating computing with traditional knowledge systems and modern scientific inquiry.
At CLC Lab, we believe that culture finds its voice through language, and together they shape the essence of life. Through the lens of computing, we weave these connections into meaningful knowledge and innovation.
Key Research Areas
The CLC Lab focuses on the following research areas:
Culture Computing and Digital Preservation
Computational approaches for documenting, analyzing, and preserving traditional art forms, cultural expressions, and heritage knowledge systems using AI, knowledge graphs, and digital archives.
Natural Language Processing and Indian Language Computing
Development of AI models, large language models, and speech technologies for Indian languages, with a focus on Malayalam, Sanskrit, and other underrepresented languages.
AI for Healthcare, Bioinformatics, and Ayurveda
Application of machine learning, deep learning, and graph-based methods to biomedical informatics, healthcare data analysis, and computational studies of Ayurveda and traditional medicine.