Welcome to Department of Electronics & Communications Engineering

The ECE Department's mission is to carry out advanced research and development in various areas of Electronics & Communication Engineering with different application domains,and to train and educate, at both undergraduate and postgraduate levels, engineers of outstanding ability who can become innovators and new product creators.

The vision of the department is to be a world class department which:


A. Gupta, S. Motwani "Experiencing Hyperloops: Transit of the Future", IEEE Computer Magazine,2021.

The article discusses the hype around the Hyperloop system, its competitors, technological aspects, experiences a passenger can expect, and the ways it may revolutionize the future of transportation technology.

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M. Jain, A. Tyagi, A. Subramanyam, S. Denman, S. Sridharan, C. Fookes "Channel Graph Regularized Correlation Filters for Visual Object Tracking", IEEE Transactions on Circuits and Systems for Video Technology ,2021.

Correlation Filters (CF) are a popular choice for visual object tracking due to their efficiency in the frequency domain. Convolutional and hand-crafted features are jointly used when learning a filter, however, these features are not uniformly important when tracking a target. Given this observation, spatial and temporal regularization and attention models have been investigated.

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I. Alnujaim, S. Ram, D. Oh,Y. Kim "Synthesis of Micro-Doppler Signatures of Human Activities From Different Aspect Angles Using Generative Adversarial Networks",IEEE Access,2021.

In this paper, we propose to produce synthesized micro-Doppler signatures from differentaspect angles through conditional generative adversarial networks (cGANs). Micro-Doppler signatures ofnon-rigid human body motions vary considerably as a function of the radar’s aspect angle. Because the direction of the human motion can be arbitrary, a large volume of training data across diverse aspects isneeded for practical target activity classification through machine learning. As measurements can requiresignificant monetary and labor costs, the synthesis of micro-Doppler signatures can be an alternate solution.

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G. Ghatak "On the Placement of Intelligent Surfaces for RSSI-Based Ranging in mm-Wave Networks" ,IEEE Communications Letters,2021.

We study the received signal strength indicator (RSSI)-based ranging performance of a cellular user in a millimeter-wave (mm-wave) network aided by reconfigurable intelligent surfaces (RISs). First, we propose an optimal RIS deployment strategy that minimizes the joint blockage probability of the user to the base station (BS) link and the user to the RIS link. Then, we provide a bound-based characterization of a ranging strategy in which the BS estimates the distance the user in the direct link in case it is in the line of sight (LOS) state, whereas in case the direct link is blocked, the BS estimates the user distance via the reflected, i.e., RIS-aided link.

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News and Events

S.Biswas,B. Ansari "A Hardware-In-Loop simulation Test-bed for NavIC Reflectometry Experiments" has been accepted at the URSI -GASS 2021 for presentation.

This article presents a Hard-ware-In-Loop simulation method to develop, test and verify SDR-based NavIC reflectometry receiver. This test-bed will allow rapid prototyping of algorithms to develop remote-sensing equipment to estimate surface properties using reflected NavIC signal.

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S.Biswas "A theoretical comparison of NavIC and GPS RAIM performance" has been accepted at the URSI -GASS 2021.

Receiver Autonomous Integrity Monitoring is a critical safety requirement for GNSS/RNSS receivers used in aviation. This article assesses the independent integrity monitoring capability of the NavIC with respect to the GPS constellation.

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S. Deb, A. Grover recieved grant from NSM R&D – Exascale for project titled “Efficient Communication Infrastructure for Future Heterogeneous System Architectures”.

NSM mission envisages empowering our national academic and R&D institutions spread over the country by installing a vast supercomputing grid comprising of more than 70 high-performance computing facilities. These supercomputers will also be networked on the National Supercomputing grid over the National Knowledge Network (NKN).

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R. Prasad recieved Power grant from DST-SERB for project titled "On Personalized Federated Learning using Meta-learning and Bayesian Neural Networks".

Science and Engineering Research Board(SERB) is a statutory body under the Department of Science and Technology(DST), Government of India,it was set up for promoting basic research in science and engineering and to provide financial assistance to scientists, academic institutions, R&D laboratories, industrial concerns and other agencies for such research.

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