Kausik Bhattacharya

Areas of Interest

Design Thinking, Design Creativity, Design Research, User Experience Design, Human-Computer Interactions, AI and Machine Learning, Automation, Software Engineering, Process Re-Engineering, Six Sigma.

About me

Kausik has 20 plus years of experience in developing technology driven products and service solutions for global markets. An engineering graduate from Indian Institute of Science, Bangalore, Kausik is analytical, process oriented and has strong academic credentials.

After graduation, Kausik worked in multiple organizations in engineering and healthcare domains with deep hands-on experience in Product and Service Design. Kausik worked on various types of design like technical systems design, services design, design optimization, design informatics and user experience. Apart from product design, Kausik also has passion and experience in research and talent development activities.

In Aug 2019, Kausik joined CPDM at Indian Institute of Science to build research experience in design creativity and smart product.

Education:
1) M.E: Indian Institute of Science, Bangalore (Rank holder)
2) B.E: Jadavpur University, Kolkata (Rank holder)

Contact

kausikb@iisc.ac.in

+91 - 9886086530

Publications / Projects

1. Bhattacharya, K., Bhatt, A.N., Ranjan, B.S.C., Keshwani, S., Srinivasan, V. and Chakrabarti, A., (2023), “Extracting Information for Creating SAPPhIRE Model of Causality from Natural Language Descriptions”, Design Computing and Cognition'22 (pp. 3-20). https://doi.org/10.1007/978-3-031-20418-0_1
2. Bhattacharya, K., & Chakrabarti, A. (2023). “A Knowledge Graph and Rule based Reasoning Method for Extracting SAPPhIRE Information from Text”. Proceedings of the Design Society, 3, 221-230. 24th International Conference on Engineering Design (ICED 2023)
3. Kausik Bhattacharya, Anubhab Majumder, Apoorv N Bhatt, Sonal Keshwani, Ranjan BSC, Srinivasan V., Amaresh Chakrabarti (2023), “Developing a Method for Creating a Structured Representation of Working of Systems from Natural Language Description using SAPPhIRE Model of Causality”, Under Review, Submitted to the journal "Artificial Intelligence for Engineering Design, Analysis and Manufacturing" by Cambridge University Press.