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:

Upcoming Events at IIIT-D

Talk by Dr. Sanket S. Kalamkar on "Beam Management in 5G: A Stochastic Geometry Analysis”



Date : 22th Oct 2021 

Time: 10:30 AM

Online webinar

Beam management is central in the operation of beamformed wireless cellular systems such as 5G New Radio (NR) networks. Focusing the energy radiated to mobile terminals (MTs) by increasing the number of beams per cell increases signal power and decreases interference, and has hence the potential to bring major improvements on area spectral efficiency (ASE).



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Talk by Dr. Prabhat Kumar Sharma on “Molecular Communication over Diffusive Channels”



Date : 06th Oct 2021 

Time: 4:00 PM

Online webinar

The engineered molecular communication has got notable attention from the communication researchers due to its possible application in a wide range of areas such as disease detection, disease treatment, lab-on-chip and toxic agent detection in the environment.






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Talk by Dr.​ Shubha Sharma​​​ on "Hybrid Free Space optical (FSO)/Radio Frequency (RF) Communication for Future Wireless Networks"

Date : 18th Aug 2021 

Time: 4:00 PM

Online webinar

Free space optics (FSO) technology offers large bandwidth in the unlicensed spectrum that can support seamless high-speed broadband connectivity, which is a significant requirement for data intensive applications. However, the FSO link is highly susceptible to atmospheric effects.





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Publications

N. Pandey, S. S. Ram “Automated Parking Test Using ISAR Images from Automotive Radar” IEEE International Conference on Autonomous Systems (ICAS), 2021.

Automated driving tests using cameras have been researched for expediting the training and testing of car drivers. We propose an automated parking test using millimeter-wave automotive radars. The advantage is that these radars can be operated even in low visibility conditions. We propose generating high-resolution inverse synthetic aperture radar (ISAR) images of a vehicle under test (VUT) parking into a designated parking slot from an externally mounted radar.

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S. Singh, A. Majumdar “Multi-label Deep Blind Compressed Sensing for Low-frequency Non-intrusive Load Monitoring” IEEE Transactions on Smart Grid, 2021.

Current non-intrusive load monitoring (NILM) algorithms are reasonably accurate when the sampling rate is high. However, in practical scenarios, when the sampling frequency is low, the performance of most algorithms deteriorates. This work proposes a solution for low-frequency NILM. We propose to modify the smart-meter such that it can transmit at low frequency using principles of compressed sensing (CS).

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A. Goel, A. Majumdar “Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification” IEEE Geoscience and Remote Sensing Letters, 2021.

Subspace clustering techniques have shown promise in hyperspectral image segmentation. The fundamental assumption in subspace clustering is that the samples belonging to different clusters/segments lie in separable subspaces. What if this condition does not hold? We surmise that even if the condition does not hold in the original space, the data may be nonlinearly transformed to a space where it will be separable into subspaces.

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A. Sharma, R. Kukreja, R. Prasad, S.D. Rao “DAGSurv: Directed Acyclic Graph Based Survival Analysis Using Deep Neural Networks” Asian Conference on Machine Learning, 2021.

In this work, we integrate the cause-effect relationship between covariates and the time-to-event outcome by encoding the causal directed acyclic graph structure into survival analysis.




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News and Events

M. Gupta, S. Sharma, H. Joshi, S. J. Darak "Reconfigurable Architecture for Spatial Sensing in Wideband Radio Front-End" is accepted at IEEE Transactions on Circuits and Systems II (I.F. 3.29).



The deployment of cellular spectrum in licensed, shared and unlicensed spectrum demands wideband sensing over non-contiguous sub-6 GHz spectrum. To improve the spectrum and energy efficiency, beamforming and massive multi-antenna systems are being explored which demand spatial sensing i.e. blind identification of vacant frequency bands and direction-of-arrival (DoA) of the occupied bands.



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G. Ghatak, H. Mohanty, A. Ur Rahman "Kolmogorov-Smirnov Test-Based Actively-Adaptive Thompson Sampling for Non-Stationary Bandits" is accepted at IEEE Transactions on Artificial Intelligence 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.

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Yash Gupta (B.Tech, 2017-2021) has been selected to receive the IEEE GLOBECOM 2021 Student Travel Grant by IEEE COMSOC.

Yash

IEEE Global Communications Conference (GLOBECOM) is one of the IEEE Communications Society’s two flagship conferences. This year GLOBECOM will be held in Madrid, Spain, from 7 -11 December 2021.
His research paper "A Fine-Grained Analysis of Radar Detection in Vehicular Networks" co-authored by Dr. Gourab Ghatak, Dr. Sanket Kalamkar, Yash Gupta and Shubhi Sharma was accepted for presentation at GLOBECOM 2021.

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