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

A. Mongia, A. Majumdar "Matrix completion on learnt graphs: Application to collaborative filtering" Expert Systems with Applications, 2021.

There are two broad frameworks for collaborative filtering. Chronologically, the neighborhood based models came first – they were based on linear interpolation where the interpolation weights were proportional to the similarities between users’ and items’. Latent factor models were introduced later; they were based on the underlying assumption that the data matrix is low-rank. Both the approaches essentially completed the partially observed rating matrix. These two approaches were later combined by regularizing the latent factor model with graph Laplacian computed from the similarities defined in the neighborhood based models.

G. Ghatak "Coverage Analysis of Indoor Users From mm-Wave multi-RAT Small Cells Deployed Along Roads" Wiley Internet Technology Letters, 2021.

The initial deployment of millimeter-wave (mmwave) base stations (BSs), e.g., by Verizon and AT&T will be on top of lamp-posts along the roads of an urban scenario. These deployments will mainly target the outdoor pedestrian users and provide on-demand ultra-high data rates. However, as the mmwave deployments mature, the operator must necessarily dimension the network by taking into consideration the requirements of the indoor cellular users as well.

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. However, these models do not consider the interaction between different feature channels. As a result, dissimilar weights are assigned to similar feature channels.

R. Bajpai, N. Gupta, V. Bohara"An Adaptive Full-duplex/Half-duplex Multiuser Cooperative D2D Communications System with Best User Selection" IEEE Open Journal of the Communications Society, 2021.

Full-duplex (FD) transmissions have emerged as a spectrally efficient technology with the evolution of enhanced self-interference (SI) suppression techniques. However, the FD transmission mode (TM) may not consistently outperform the half-duplex (HD) TM due to the residual SI. In contrast, an adaptive FD/HD transmission scheme utilizes the advantages of both FD and HD TM.

M. Agarwal, S. Saurabh "An Efficient Timing Model of Flip-Flops Based on Artificial Neural Network" is accepted in MLCAD 2021 (3rd ACM/IEEE Workshop on Machine Learning for CAD).

Traditionally, the timing model of a flip-flop in the technology libraries captures the setup time (ST), hold time (HT) and clock-to-q (C2Q) delays in separate two-dimensional lookup tables. However, it is well-known that these attributes of flip-flops are interdependent. By modeling them separately we introduce pessimism in the design flows.

Neetu R.R. has been granted the IIT Palakkad Technology iHub Foundation (IPTIF) DF Grant for project titled "Intelligent IoT HetNets with Aerial Access Points for Public Protection and Disaster Relief" under the supervision of G. Ghatak.

In recent years, we have witnessed a significant increase in both natural and man-made disasters. In such scenarios, the wireless network infrastructure plays a key role not only to provide connectivity for people in the disaster-hit areas, but also to enable critical communication for emergency first responders deployed for search and rescue operations.

A. Balaji and S. Saurabh "Reducing Breakdown Voltage in a Bipolar Impact Ionization MOSFET (BI-MOS) using Gate–Source Underlap" is accepted in the conference VLSI-SOC 2021, Singapore.

Bipolar Impact Ionization MOSFETs (BI-MOS) are promising devices because of abrupt OFF-ON transition and lower breakdown voltage compared to a conventional I-MOS. Nevertheless, the breakdown voltage of a BI-MOS is 2.8 V and needs to be further reduced. In this paper, using a calibrated simulation model, we demonstrate that by employing an optimum gate–source underlap, 25% reduction in the breakdown voltage can be obtained.

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.

Upcoming Events at IIIT-D

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