
Designation: Associate Professor and Chief Digital Officer
Education:
- PhD (Electrical and Computer Engineering, NUS)
- MS (Mechanical Engineering, Purdue University)
- BS (Mechanical Engineering, Purdue University)
Professional Experience
- Teaching : 3 years
- Non Teaching: 7 years
- Research: 7 years
Specialization
- UG : Mechanical Engineering
- PG : Mechanical Engineering, Bio-inspired Robotics
- PhD: Electrical and Computer Engineering. Artificial Intelligence
Publication
International Conference
- N. J. Punnoose, P. Vadakkepat, A.-P. Loh, and E. K. Y. Yap, “Data driven quality estimation for production processes with lot-level quality control”, in IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society
- S. Pillai, N. J. Punnoose, P. Vadakkepat, A.-P. Loh, and K. J. Lee, “An ensemble of fuzzy class-biased networks for product quality estimation”, in 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, Sep. 2018.
Participations
Workshop/Seminars Attended
- Invited speaker to IEEE RASSE 2022 conference, Taiwan
- Panellist in UBS ESG Roundtable, Singapore
- Invited Speaker to Yuva conclave, WINGS 2023 at Saintgits
As resource Person
- RASSE 2023
- NUS ECE Graduate Conference
Events Organized
- RASEE 2023
Membership
- IEEE Professional Member
Research Interest
- Artificial Intelligence
- Industry 4.0
- Engineering Education
- HVAC/ACMV Optimisation
Consultancy
- Resync Technologies Pte Ltd, Singapore
Achievement
- Graduate Research Scholarship (NUS)
- Trustee’s Scholarship, GEARE Travel Grant, and John M Bruce
Memorial Scholarship (Purdue)
Contact Details
Ph: 9539981485
Email: naveen.punnoose@saintgits.org
Website
Linkedin: https://www.linkedin.com/in/naveen-punnoose/