Indian Knowledge System

We work on the modernization of traditional materials for the restoration of heritage structures; its alignment with the principles of sustainable development is deeply rooted in Indian wisdom. India has a longstanding history of employing eco-friendly and locally sourced materials in its architectural and construction practices.

We are working on how to make Sanskrit manuscripts more accessible to end- users through natural language technologies. The morphological richness, compounding, free word orderliness, and low-resource nature of Sanskrit pose significant challenges for developing deep learning solutions. Towards this end, we have released a neural toolkit called SanskritShala, which offers real-time analysis for Natural Language Processing tasks. Our current research revolves around developing a Sanskrit-to-English machine translation system to provide accessibility to Vedic literature. Through his work, we seek to bridge the language barrier and contribute to a broader understanding and appreciation of ancient Sanskrit texts.

India, known for its linguistic diversity, is home to over 22 officially recognized regional languages and a multitude of dialects spread across various language families. However, numerous widely spoken languages with smaller resource pools lack formal scripts and technological support, including Lambani, Soliga, and Mundari.

In an effort to enhance the Indian Knowledge System, the Speech Image Text Artificial Intelligence Research (SITAR) initiative focuses on creating linguistic technologies specifically for the Lambani language. The Lambani, or Banjara, community is celebrated for its nomadic traditions and vibrant cultural heritage, predominantly found in many regions of South India.

The efforts of the SITAR team extend to the development of Linguistic Resources (LR), incorporating a variety of tools and components necessary for analyzing, studying, and developing languages. This includes the creation of dictionaries, Part-of-speech (POS) taggers, morphological analyzers, Machine Translation systems, Text-to-Speech technologies, directSpeech-to-Speech translation tools, and datasets geared towards Natural Language Processing (NLP), thereby contributing significantly to India’s linguistic heritage.

Our interests are in the engineering and spiritual aspects of temple architecture; science of Ayurveda and the role of the Vaidya in treatment administered and also in revisiting the knowledge of Vimana Shastra (the science of flight)

We explore the political economy traditions in ancient Indian literature/shastras, relations between the ancient shastras and modern economic theories and analyse them using macroeconomic theory and game theory.

Our interests are in the digitization and three dimensional printing of yogic postures and their neurophysiology.

Our interests are in the relationships between music and meditation and neurophysiology and the applications of Vedanta sutras for personal and social development, wellbeing and happiness.

Big structures made of monolithic stones exemplify the skill of sculptors and artisan in many monuments. Dealing with a brittle structure requires a thorough understanding of force control for chipping the stones. This is basically Fracture mechanics in action. We would like to explore this aspect in addition to structural mechanics of the monuments.

Our focus lies in revisiting and understanding the Indian Knowledge System, particularly ancient manufacturing and metallurgical technologies. We aim to apply this knowledge to solve modern engineering problems, leveraging modern technologies such as 3D printing and Additive Manufacturing. Currently, we have two ongoing projects funded by the Indian Knowledge System, AICTE, and MoE.

Project 1: Ancient India saw the fabrication of self-healing structures, exemplified by the Delhi Iron Pillar (known as the Rustless Wonder). The manufacturing method and corrosion-resistant nature (self-healing to corrosion) of such structures are still under investigation.

Project 2: India is renowned for its cultural heritage and diversity, with a rich history of arts and handicrafts. We are interested in fabricating ancient Indian pottery, ceramics, and clay components, many of which are on the verge of extinction today. We aim to use smart technologies like 3D printing to revive these ancient practices.

Medical professionals are adopting and recommending the regular practice of yoga due its various benefits. However, this recommendation is based on qualitative measures. There are no quantitative assessments or measures to recommend any Yoga posture for certain Joint pain. The current research aims to develop a three-dimensional biomechanical parametric model of the human body using multibody dynamics techniques. This model can be used to obtain the forces and moments on the different joints of the human body. With quantitative knowledge of these forces and moments, it is possible to fine tune the existing techniques and develop more schematic yoga training therapies for people with special needs like divyangs. In addition, this comprehensive knowledge is envisaged to seamlessly integrate yoga with modern health science.