• Sponsored research and creation of software/ hardware research laboratory for 5G Communication Networks.
• Development of new elective courses on relevant topics, such as, 5G Wireless, SDN, Massive MIMO, Mm-wave Techniques, etc.
• Conducting workshops on "Emerging Technologies for Next-Generation 5G".

• Centre for Machine Learning and Big Data Analytics (CML-BDA) is set up with a vision to be a sustainable centre of excellence in terms of research, innovation, development and new venture creation in Machine Learning, Big Data, Business Analytics, Information Retrieval and associated areas.
• It is focused on quality research and development through multi-disciplinary and collaborative approach.
• Current thrust areas of work include ML algorithms for Big data analytics, Social media analytics, Social behavior analysis, Real-time event identification and Issues in a smart city environment.

The CEES shall primarily work towards identification of key energy-specific (monitoring, transformation and management and environmental engineering and technology-specific societal and business needs that required technology-based solutions that the campus, society state and the nation may have. It would, in a prioritized and phase-wise manner, pick up and work on creation of innovative and cost-effective technology-based scalable solutions, IP creation and, where feasible and relevant, technology transfer, apart from research-driven outreach.

• The Centre is carrying out industry-relevant research involving Information Security, Cryptography, Cyber Security and Digital Forensics to address current and potential cyber security and digital forensic challenges.
• Its strategic objective is to promote wide-raging multidisciplinary research and to train and develop skills in cyber security and digital forensic amongst its students and the wider community through seminars, workshops and training.

• This centre focuses on the IoT/ Cyber-Physical System Space.
• L-CST envisions to make LNMIIT as a zero waste campus.
• The centre aims to develop a system to identify and eliminate wastage of all kinds of natural resources.
• Efforts are on to develop a mechanism to systematically evolve a research prototype into industry prototype and minimum viable product in time bound and gated approach.
• Attaining smart-energy monitoring and management solutions for campus is one of its agenda item of work

• Create innovation based technological solution in the field of Robotics and Artificial Intelligence for the industry and society.
• Focus on quality research and development through multi-disciplinary and collaborative approach.

• The CET-TLI primarily works towards identification of key needs of the Institute in the areas of teach-learning, pedagogy, effective evaluation/learning-assessment vehicles apart from the corresponding enabling technologies and intensive teaching-learning workshops for new (first-time) teachers and retraining of select existing faculty / laboratory staff as per need.
• The Centre is entrusted with the responsibility of creating a prioritized and phase-wise plan of action with an annual calendar that is in synchronization with the Institute Calendar.
• The CET-TLI is responsible for identifying and / or creating technology-based cost-effective solutions as well as their pilot testing, deployment and delivery; and, where feasible and relevant, enable outreach. "

• The Centre will focus on the R&D programmes in the emerging research area of material science and technology to develop new materials, process methodologies and technologies leading to the development of fast speed electronic and optoelectronic devices to be employed in information technology and telecommunication through cutting edge research in nanoelectronics, developing device for meeting the societal requirement in the country and creating the facilities of materials development and characterization and device fabrication.
• The thrust area includes energy storage, energy conversion, supercapacitors, flexible electronics, sensor materials, green materials, nanomaterials and their applications, nano-photonics, polymers for photonics, photonics sensors, organic electronics, computational nanoelectronics and displays.

The C-MFC shall primarily work towards identification of key needs that merits its research attention. The Centre would carry out industry-relevant and other forms of applied as well as basic research involving various forms and sub-areas of mathematical computing, modelling and simulation as well as various areas and sub-areas of financial computing, economic and financial modeling and simulation as well as multidisciplinary work requiring relevant intervention of mathematics, economics or finance with other domains like information science, biology, astronomy, public policy, epidemiology, drug design and behavioural modeling and simulation etc. The development of techniques and technology of relevance, application of resultant research towards solving problems of interest, transfer of developed technology to industry/government/social service organizations and any required outreach would be in the scope of work of the Centre. The C-MFC would be encouraged to become a multi-disciplinary innovation hub around which not only the LNMIIT but also many other Institutions and industries in the vicinity (and even beyond) could get enabled over the years.

The C-MFC would have the mandate of evolving into a Centre of Excellence in terms of research, innovation, development and new venture creation in the areas mentioned above.