Deep learning techniques which employ trained neural networks to solve problems have witnessed widespread adoption in diverse fields like medicine, architecture, robotics, autonomous vehicles, wireless communications, ...

Next generation wireless systems are envisioned to offer dependable and consistent user experience across a wide range of environments, including high-mobility scenarios involving high-speed trains, aircrafts, and ...

Judicial systems worldwide are overburdened due to the limited number of legal professionals. The digitization of legal processes has resulted in abundant legal data, paving the way for the development of legal automation ...

Database software vendors often need to generate synthetic databases for a variety of applications, including (a) Testing database engines and applications, (b) Data masking, (c) Benchmarking, (d) Creating what-if scenarios, ...

In this dissertation, we carry out an exploration of the fundamental limits of information-theoretic security in two different settings: multiterminal key agreement and DNA-based data storage. Most of the dissertation ...

Data center networks form the backbone for modern Internet giants like Google, Facebook, Microsoft, and Amazon. Such networks consist of a layer of a large number of storage and compute servers connected through two or ...

Matching problems arise in numerous practical settings. Fairness and efficiency are two desirable properties in most such real world scenarios. This dissertation work presents new approaches and models for capturing and ...

Legal Judgment Prediction (LJP) implements Natural Language Processing (NLP) techniques to predict judgment results based on fact description. It can play a vital role as a legal assistant and benefit legal practitioners ...

A digital elevation model (DEM) is a three-dimensional representation of elevation data of a terrain such as a terrestrial terrain acquired by a reconnaissance aircraft or a lunar terrain acquired using a Chandrayaan rover. ...

Deep neural networks has brought tremendous success in many areas of computer vision, such as image classification, retrieval, segmentation , etc. However, this success is mostly measured under two conditions namely (1) ...