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:

Is globally respected for its research capability, with some research groups being considered as among the leaders globally and within the country.
Has thriving UG and PG programs
Is socially relevant, globally linked and industry facing

Upcoming Events at IIIT-D

Event Registration Details

Start Date : 1st May 2021

End Date: 20th June 2021

Online webinar

IEEE SPS AIVA 2021 (Artificial Intelligence for Visual Application) is a collaborative initiative going to be organzied by IEEE SPS Delhi Chapter alongwith numerous IEEE SPS Section Chapters across the IEEE India Council Region in association with IIIT Delhi, which solely aims to illuminate students regarding the latest trends in the field of Artificial Intelligence and Computer Vision.

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Call for Posters Details

Posters Start: 1st May 2021

Posters Submission Deadline: 31th May 2021

Online webinar

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Posters Acceptance Notification

Posters Acceptance Notification: 15th June 2021

Online webinar

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Publications

G. Ghatak, H. Mohanty, A. Rahman "Kolmogorov–Smirnov Test-Based Actively-Adaptive Thompson Sampling for Non-Stationary Bandits" Arxiv,2021.

We consider the non-stationary multi-armed bandit (MAB) framework and propose a Kolmogorov-Smirnov (KS) test based Thompson Sampling (TS) algorithm named TS-KS, that actively detects change points and resets the TS parameters once a change is detected. In particular, for the two-armed bandit case, we derive bounds on the number of samples of the reward distribution to detect the change once it occurs. Consequently, we show that the proposed algorithm has sub-linear regret. Contrary to existing works, our algorithm is able to detect a change when the underlying reward distribution changes even though the mean reward remains the same. Finally, to test the efficacy of the proposed algorithm, we employ it in two casestudies.

A. Gupta,M. Gupta, V. Batra "Subclinical left ventricular dysfunction in COVID-19 recovered patients using speckle tracking echocardiography"Echocardiography,2021.

The ongoing coronavirus disease-2019 (COVID-19) pandemic continues to cause considerable morbidity and mortality worldwide.1Cardiovascular manifestations in COVID-19 include myocarditis, acute coronary syndrome, cardiac arrhythmias, heart failure, cardiogenic shock and venous thromboembolism. Acute cardiac injury (defined by elevated cardiac troponin levels) has been reported in 8-28% of patients with COVID19 and is associated with worse clinical outcomes.In addition, few studies have observed subclinical myocardial dysfunction in COVID-19 patients.However, there is paucity of data regarding myocardial dysfunction in COVID-19 recovered patients

M. Shaikh, V. Bohara, A. Srivastava, G. Ghatak "Intelligent Reflecting Surfaces Versus Full-Duplex Relaying: Performance Comparison for Non-Ideal Transmitter Case" IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC),2021.

An intelligent reflecting surface (IRS) comprises of an array of discrete reflective elements (REs) possessing re-configurable scattering properties. IRS has the capability to beamform and relays the received radio signal from the transmitter to the desired receiver. This has made the IRS a promising candidate technology for the beyond fifth-generation(5G) cellular standards. In this work, the performance of an IRS-assisted wireless communication system is investigated and compared with the full-duplex (FD) relay-assisted system in the presence of non-ideal transmitters. Specifically, the performance is compared in terms of channel capacity and energy efficiency (EE). The results show that the IRS can never achieve more capacity than the ideal FD relaying, in the presence of a nonideal transmitter, irrespective of the placement of IRS and relay.

G. Singh, A. Srivastava, V. Bohara, Z. Liu "Downlink Performance of Optical Power Domain NOMA for Beyond 5G Enabled V2X Networks" IEEE Open Journal of Vehicular Technology ( Early Access ),2021.

In this work, we explore the potential benefits and practical challenges associated with implementation of optical power domain non-orthogonal multiple access (OPD-NOMA) scheme for visible light communications (VLC) based vehicleto-everything (V2X) networks with a major aim of providing vehicles with reliable, ubiquitous, and massive connectivity. In the proposed framework, an installed light source (e.g., traffic lamp post or street light lamp post) broadcasts a safety related message to desired nodes through visible light. However, such VLC transmission is subject to interference originating from the vehicles in the adjacent lane. Using the stochastic geometry approach, we model the locations of vehicles on the road via Poisson point process.

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.

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.

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).

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.

Upcoming Events at IIIT-D

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