WISENET leads the INTPART project Indo-Norwegian collaboration in Autonomous Cyber-Physical Systems (INCAPS)

WISENET at University of Agder will lead the new INTPART project INCAPS, where our Center will collaborate with several highly reputed and top Indian Universities. This project establishes a long-term collaboration between top ranked Indian Universities, including Indian Institute of Science (IISc), Bangalore, Indian Institute of Technology, Hyderabad (IITH), International Institute of Information Technology, Hyderabad (IIITH) and Birla Institute of Technology and Science (BITS), Hyderabad and Norwegian Universities and research Institutes, University of Agder (UiA), Norwegian University of Science and Technology (NTNU) and Norwegian Institute for Water Research (NIVA) in world-class research and education says project manager, Prof. Linga Reddy Cenkeramaddi.

Key participants from University of Agder are researchers from WISENET Lab, including Prof. Linga Reddy Cenkeramaddi, Prof. Baltasar Beferull Lozano and Prof. Daniel Romero. Other key researchers involved in the project are, Prof. Kimmo Kansanen from NTNU, Dr. Christopher Harman from NIVA, Prof. Phaneendra K. Yalavarthy from IISc Bangalore, Prof. Abhinav Kumar from IIT Hyderabad, and Prof. Soumya J from BITS Hyderabad.

Only the foremost established and excellent research communities can apply for this INTPART grant and this is highly competitive as the competition is among the world renowned research centers. Major goals are to strengthen the competitiveness and innovation capacity, solving major societal challenges and developing high-quality academic environments. WISENET Lab obtains this grant by competing with the best research centers across the nation. Main objective is to create sustainable partnerships with the best international institutions and research communities across the globe.

This project considers broad areas of research which include smart sensing for autonomous systems, mmWave sensors based system design, analog, digital and mixed signal circuit design, prototyping of wireless communication systems, low-altitude UAVs tracking and communications, de-centralized wireless communications, in-network processing and intelligence for heterogeneous wireless sensor and communication networks, machine learning and deep learning for autonomous systems, data analytics, energy harvesting based smart electronic systems, smart water networks and inference methods for timely detection and prediction, cognitive control and adaptive learning in autonomous cyber-physical systems.