LNMIIT Centre for Smart Technology

The L-CST works towards identification of key needs that campus, society, the state and the nation may have which, in a prioritized and phase wise manner,could be addressed with the creation of smart technology based cost effective solutions, testing (pilot deployment included), deployment, technology transfer, commercialization and, wherever feasible and relevant, outreach. It has a Center- Lead, a Nucleus and a Centre-team comprising of faculty, scholars, students and staff.
Our Aim
Conducting research to explore new possibilities and applications of smart technologies and developing innovative solutions.
The L-CST aims to:
- To create an ecosystem of research on Smart Technologies involving academia, industries and public entities (organization of central and state government, hospitals, civic body and defense organization).
- To make LNMIIT campus as a model campus with the objective of having minimum per capita consumption of energy, water and other natural resources without compromising with the lifestyle.

Industrial Collaboration
Providing students with opportunities to learn about smart technologies through specialized courses, workshops, and hands-on projects.

Signal Processing And Communication – Copy

Signal Processing And Communication

Multimodal User Interface

Sign Language Converter
Latest Research Publications
One of the best Research Centre’s where we provide solutions to Industries and Businesses and also serve human kind with our inventions.
Vision Based Tracking System
S. Saboo, J. Singha, “Vision based two level hand tracking system for dynamic hand gesture in indoor environment”, Multimedia tools and Applications (Springer, SCI), under minor revision.
S. N. Mishra, R. Shah, K. Jena, “Normally- Off AlGaN/GaN MOSHEMT as Lebel Free Biosensor” ECS Journal of Solid State Science and Technology, Vol.9, Issue. 06, pp. 065002, July, 2020. [IF: 2.142 (2019), SCIE, JCR]. (IOP)
Solid State Science And Technology
Artificial Neural Network Modelling
N. Khatri, K. K. Khatri, and A. Sharma, “Artificial neural network modelling of faecal coliform removal in an intermittent cycle extended aeration system- sequential batch reactor based wastewater treatment plant,” Journal of Water Process Engineering, vol. 37, p. 101477, Oct. 2020