Division of Electrical, Electronics, and Computer Science (EECS)
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Energy-Efficient Data Fusion Techniques for Wireless Sensor Networks
Wireless sensor networks (WSNs) are finding increasing use in applications such as environmental monitoring, military surveillance, and healthcare due to their low cost and ease of deployment. However, the nodes in a ... -
First-principles based study of graphene inserted tellurene-metal interface
Atomically thin two-dimensional (2D) materials have attracted extensive research interest since the journey started with the successful isolation of graphene in 2004. 2D materials have shown remarkable advancement in the ... -
Hardware Emulation of a Long Transmission Line by High Frequency Power Electronic Converter for the study of Switching Transients
To ensure smooth functioning of the grid, the reliability and robustness of the power system equipment needs to be precisely evaluated during their development process. But direct on- eld tests of most of the equipment ... -
Robust Algorithms for recovering planted structures in Semi-random instances
In this thesis, we study algorithms for three fundamental graph problems. These are NP-hard problems which have not been understood completely as there is a signifiicant gap between the algorithmic and the hardness fronts ... -
Tactile Cyber-Physical Systems: A Testbed, A Performance Metric and Network Resource Allocation Protocols
Tactile Cyber-Physical Systems (TCPS) use haptic, audio and video modalities to facilitate humans to perform real-time physical interaction of remote objects over ultra-low latency and ultra-reliable networks referred to ... -
Signcryption in a Quantum World
With recent advancements and research on quantum computers, it is conjectured that in the foreseeable future, sufficiently large quantum computers will be built to break essentially all public key cryptosystems currently ... -
Algorithms for Processing RGBD Images and Videos for Depth-Based 3D Video Systems
In recent times, immersive visual media such as Virtual Reality (VR), Augmented Reality (AR), 3DTV and Free Viewpoint Television (FTV) have garnered tremendous interest. Immersive visual media content typically provides ... -
Optimal Code Constructions for Some Multi-sender Index Coding Problems
An instance of the multi-sender index coding problem consists of a set of senders collectively having all the messages demanded by a set of receivers. Each receiver knows a subset of messages a priori, called its side ... -
Error Correction in Index Coding And Coded Caching
In an index coding problem, there is a sender which has a set of messages and there are multiple receivers demanding possibly different subsets of these messages and possessing some other subsets of these messages as ... -
Protocols for quantum information processing on graph states
Quantum entanglement is a unique phenomenon that occurs in quantum systems and ensures the feasibility of tasks considered impossible in the classical world. Two such important tasks are superdense coding and quantum ... -
Honest Majority and Beyond: Efficient Secure Computation over Small Population
Secure Multi-Party Computation for small population has witnessed notable practically-efficient works in the setting of both honest majority and dishonest majority. While honest majority provides the promise of stronger ... -
On Streaming Codes, Regenerating Codes and Locality-Aided Decoding
This thesis presents results relating to the application of error-correcting codes with different aims and in different settings; to achieve low-latency communication, to improve decoding performance and to enable the ... -
Linear Dynamical Systems with Sparsity Constraints: Theory and Algorithms
This thesis develops new mathematical theory and presents novel recovery algorithms for discrete linear dynamical systems (LDS) with sparsity constraints on either control inputs or initial state. The recovery problems ... -
On Media-Based Modulation for Wireless Communications
Traditionally, symbols chosen from complex modulation alphabets such as QAM and PSK are used to convey information bits, and complex fades introduced by the channel are viewed as detrimental effects that cause amplitude ... -
Stochastic Approximation with Markov Noise: Analysis and applications in reinforcement learning
Stochastic approximation algorithms are sequential non-parametric methods for finding a zero or minimum of a function in the situation where only the noisy observations of the function values are available. Two time-scale ... -
Learning to Adapt Policies for uSD card
Machine Learning(ML) for Systems is a new and promising research area where performance of computer systems is optimized using machine learning methods. ML for Systems has outperformed traditional heuristics methods in ... -
Practically Efficient Secure Small Party Computation over the Internet
Secure Multi-party Computation (MPC) with small population has drawn focus specifically due to customization in techniques and resulting efficiency that the constructions can offer. Practically efficient constructions ... -
A Method of Designing an Intelligent Public Transportation System in Metropolitan Area Using Emergent Intelligence
Metropolitan area consists of huge population density, one or more urban areas, satellite cities, rural areas and towns. It highly concentrates economic activities to attract people from rural areas and is a complex ... -
Content-Based Texture Analysis and Synthesis for Low Bit-Rate Video Coding Using Perceptual Models
Determining perceptually irrelevant and redundant information from human point of view is one of the fundamental problems today that is limiting the performance of current video compression algorithms. The performance of ... -
Algorithms for Challenges to Practical Reinforcement Learning
Reinforcement learning (RL) in real world applications faces major hurdles - the foremost being safety of the physical system controlled by the learning agent and the varying environment conditions in which the autonomous ...
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