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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, ...
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 ...
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 ...
Van der Waals Heterojunctions for Emerging Device Applications
Low-dimensional systems are an exciting platform for exploring new physics and realizing novel devices. The intriguing features, such as the existence of strongly bound multiparticle complexes and thickness-dependent band ...
Top-k Spatial Aware Ads
Consider an app on a smartphone which displays local business ads. When a user opens the
app, then k local business ads need to displayed (where k would typically be 3 or 5) such that
the profit made by the app is ...
Comparative Analysis of Topological Structures
Measuring scientific processes result in a set of scalar functions (scalar fields) which may be related temporally, be part of an ensemble, or unrelated. Overall understanding and visualization of scientific processes ...