Ericsson Research, Indian Statistical Institute join hands for collaborative research in safe, reliable cyber-physical systems

The two have set up a virtual interdisciplinary research centre to foster both fundamental and applied research in sustainable and trustworthy cyber-physical systems with immediate impact in deploying AI and CPS in the Indian ecosystem.

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Ericsson on Tuesday said it has signed an MoU with Indian Statistical Institute for collaboration in multiple research activities, which will be carried out under the cyber-physical systems (CPS) umbrella for three years.

The two have set up a virtual interdisciplinary research centre to foster both fundamental and applied research in sustainable and trustworthy cyber-physical systems with immediate impact in deploying AI and CPS in the Indian ecosystem, a statement said.

“This collaboration strengthens our R&D commitments in India and is pivotal to compute and AI research. We are excited to partner with ISI and look forward to collaborative research in fundamental areas as well as translational research for our future network platforms,” said Magnus Frodigh, head of Ericsson Research.


Nitin Bansal, managing director of Ericsson India, said the company has a strong focus on R&D. “We believe our research partnerships in AI and 6G with academic institutions will enable us to build a strong foundation for the country’s 6G programme,” he said.

Sanghamitra Bandyopadhyay, director of ISI Kolkata, said research on safe and reliable CPS is expected to produce the necessary technologies for the next-generation autonomy. “ISI has a congenial ecosystem for collaborative translational research that has always focussed on the needs of future technologies. The institute is happy to partner with Ericsson in this journey towards CPS realisation in the age of AI and 6G,” she said.

Diganta Mukherjee, chairperson of the cell for cooperation with academia, industry and research labs (C-CAIR) at ISI, said industry-academia partnership is the future of R&D. “We hope that this MoU will lead to further opportunities for working together in the data science and machine learning domain applied to 6G telecommunication as well as classical and quantum secure communication.”
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