
Researcher
Saurav Kumar
Researcher
Centre of Excellence for Unified AI-Enabled Craft Ecosystem Platform at IIT Kharagpur, supported by the Office of the Development Commissioner (Handicrafts), Ministry of Textiles, Government of India
Biography
Saurav Kumar is a software engineer and researcher whose work lies at the intersection of computational science, digital technologies, and traditional craft practices. His current research explores how computational methods can be used to represent, analyze, simulate, and enhance different aspects of craft, with particular emphasis on 3D rendering and visualization, gamification, and the computational science underlying craft processes.
A central focus of his work is investigating how physical craft objects, techniques, materials, and processes can be translated into meaningful digital and computational representations. His interests in 3D rendering and interactive visualization involve developing digital representations of craft artefacts and processes, while his work in gamification explores interactive approaches for improving engagement, learning, documentation, and communication around craft knowledge.
He is also interested in the broader computational foundations of craft, including how algorithms, data, geometry, simulation, and intelligent systems can contribute to understanding and preserving complex craft processes. This creates opportunities to connect traditional knowledge with contemporary approaches in computer science and computational research.
His technical background includes Python, C#, Java, SQL, cloud computing, and scalable software systems. His broader research interests encompass Artificial Intelligence and Machine Learning, distributed systems, cloud-native computing, and advanced data engineering, complementing his work on computational approaches to craft.
Through his research, he aims to develop computational and interactive methods for studying, digitizing, visualizing, and experiencing craft, bringing together computer science, digital representation, and traditional knowledge.
Research interests
- Artificial Intelligence & Machine Learning
- Intelligent Software Systems
- Distributed Systems
- Cloud Computing & Cloud-Native Architectures
- Data Engineering & Scalable Data Systems
- AI Systems Engineering
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