Division of Electrical, Electronics, and Computer Science (EECS)
Collections in this community
Recent Submissions
-
Investigation on Direct Lightning Strike to High Voltage Transmission Lines
Lightning continues to be the single largest natural cause of line outages. With high voltage lines spanning millions of kilometres around the globe, it has been a serious concern to transmission line engineers. Quite ... -
Dual-Polarized Multi-Frequency Phased Antenna Array with Suppressed Higher Order Modes
5G base stations operating in sub-6 GHz frequencies typically utilize full-dimensional or 3D beamforming with precise steering, using electronically scanned phased array antennas (PAA). Additionally, Radar systems for ... -
Ankora: Notions of Multi-party Computation and Zero-knowledge Beyond Conventional Models
In the era of digitalization, data privacy and integrity are of utmost importance. Secure multiparty computation (MPC) and zero-knowledge (ZK) facilitate data privacy and integrity. MPC enables privacy-preserving collaborative ... -
Single and Multi-Agent Finite Horizon Reinforcement Learning Algorithms for Smart Grids
In this thesis, we study sequential decision-making under uncertainty in the context of smart grids using reinforcement learning. The underlying mathematical model for reinforcement learning algorithms are Markov Decision ... -
Sparse Input View Synthesis: 3D Representations and Reliable Priors
Novel view synthesis refers to the problem of synthesizing novel viewpoints of a scene given the images from a few viewpoints. This is a fundamental problem in computer vision and graphics, and enables a vast variety of ... -
Universal and Scalable Multi-Source Energy Harvesting Power Supply with Dynamic Load Adaptation
Autonomous powering of electronic systems in applications spanning biomedical, automation, transportation and space industries relies on harvesting energy from the abundant ambient sources such as vibration, thermal, solar, ... -
Dual-Mode Operation of Grid-tied Inverters: Modeling, Islanding Detection and Transfer of Control
Increased penetration of renewable energy sources like solar and wind is fundamentally altering the power flow dynamics in modern distribution networks. These distributed generations (DG) boost system reliability by enabling ... -
Experimental Investigations on Switching Behavior of Locomotive Traction-grade IGBTs over Wide Operating Conditions
Insulated gate bipolar transistors (IGBTs) are the dominant power semiconductor devices in high power applications, such as, locomotive traction and megawatt-level renewable energy systems. Power electronic converters in ... -
Analysis, Design, and Acceleration of DNN Training Preprocessing Pipelines
The performance of deep neural network (DNN) training is a function of both the training compute latency and the latency to fetch and preprocess the input data needed to train the model. With advance- ments in GPUs and ... -
Tight Frames, Non-convex Regularizers, and Quantized Neural Networks for Solving Linear Inverse Problems
The recovery of a signal/image from compressed measurements involves formulating an optimization problem and solving it using an efficient algorithm. The optimization objective involves data fidelity, which is responsible ... -
Plasma activated/assisted solid wastes in diesel exhaust treatment: a case study with agricultural, industrial and composite wastes
The consumption of crude oil is increasing every day particularly in developing countries like India which is the third largest consumer of crude oil in the world, utilizing on an average around 160 million liters per annum ... -
Mean Field Based Investigations for Inducing Socially Optimal Epidemic Behavior in Rational Individuals
In the recent years, the world has been devastated by multiple pandemics arising out of different variants of the Corona virus. When an epidemic or pandemic strikes, it is important to move quickly to contain and suppress ... -
Development of an Intraoperative Probe for Brain Tumour Delineation Combining Multimodal Tissue Characterization and Soft-Robotics
Accurate identification of surgical margins in brain tumors is of significant prognostic importance. Despite the availability of 5-ALA and image guidance methods, recognizing tumor boundaries is highly subjective, dependent ... -
Barrier Function Inspired Reward Shaping in Reinforcement Learning
Reinforcement Learning (RL) has progressed from simple control tasks to complex real-world challenges with large state spaces. During initial iterations of training in most Reinforcement Learning (RL) algorithms, agents ... -
Spectral Efficiency and Energy-efficiency Trade-off in Spectrum Sharing and RIS-based Wireless Systems
Spectral efficiency (SE) and energy-efficiency (EE) are the two key performance indicators for next-generation wireless systems. The SE specifies how much information can be communicated by the system per unit time and ... -
Design and Optimization of Cell-Free Systems: Channel Estimation, Duplexing Scheme, and Synchronization
Cell-free massive multiple-input multiple-output (CF-mMIMO) systems, where multiple access points (APs) jointly and coherently serve a large number of user-equipments (UEs) in a geographical area, offer multi-fold improvement ... -
First-principles Based Investigation of the Adsorption and Optoelectronic Properties of Polymorphic Borophene
The discovery of graphene has prompted interest in other two-dimensional materials, especially borophene, which is a single layer of boron atoms that forms a variety of crystal shapes. Borophene, the lightest member of the ... -
Frequent Episode Mining: Efficient Discovery Algorithms and Significance Analysis
Frequent Pattern mining is a popular area of data mining, where the goal is to unearth interesting patterns that occur often in a given data. A pattern is a local structure that captures correlations and dependencies present ... -
Estimation of flashovers in the EHV/UHV lines on the east coast due to lightning produced by the Bay of Bengal cyclones
Electric Power is imperative for the modern world. The quality and reliability of the power supply can be impaired by several factors. Lightning is one such natural threat that disrupts the continuity of supply and can ... -
Audio-Visual association learning in Humans and Multimodal Networks
We easily learn audiovisual associations when we give visual objects their names. While humans easily learn the names of new objects while retaining previously learned information, deep neural networks forget old ...
RSS 1.0