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Band-matched transport layers and intrinsically stable perovskite solar cells for application to perovskite Si tandem cells
Hybrid perovskite/silicon tandem solar cells offer low-cost alternatives to the commercially established silicon solar cells. In this thesis, we present the material and device optimizations of the subcells that can be ...
Interlinkages, Innovation, Internationalization and Economic Performance of Manufacturing SMEs in Bangalore
Small and Medium Enterprises (SMEs) occupy a place of strategic significance in the global economy (including India) due to their significant contributions in terms of employment generation, exports, income creation, and ...
Optimization of Traversal Queries on Distributed Graph Stores
In this era of Big Data Analytics, much of the semi-structured data has inherent interconnectivity
between representative entities. These are increasingly being modeled as property graphs
because of the semantic advantages ...
Deep Visual Representations: A study on Augmentation, Visualization, and Robustness
Deep neural networks have resulted in unprecedented performances for various learning tasks. Particularly,
Convolutional Neural Networks (CNNs) are shown to learn representations that can efficiently
discriminate hundreds ...
Droplet Interface Oscillations using Electrowetting-on-Dielectric (EWOD) for Open-Chip Microfluidic Applications
Droplet manipulation on microfluidic platform has gained significant importance
due to its applicability to various healthcare technologies, where larger
equipment can be reduced to portable handheld systems based on ...
Development of advanced regularization methods to improve photoacoustic tomography
Photoacoustic tomography (PAT) is a scalable imaging modality having huge potential for
imaging biological samples at very high depth to resolution ratio, thereby playing pivotal role
in the areas of neuroscience, ...
Multiplexing Nanoplasmonic Sensors
Complex biological samples such as serum contain thousands of proteins and other molecules spanning up to 13 orders of magnitude in concentration. Present measurement techniques such as protein microarrays and quantum dot ...
Novel Deep Learning Methods for Improving Low-Dose Computed Tomography Perfusion Imaging of Brain
Computed Tomography (CT) Perfusion imaging is a non-invasive medical imaging modality that has also established itself as a fast and economical imaging modality for diagnosing cerebrovascular diseases such as acute ischemia, ...
Algorithms for Estimating Integrals in High Dimensional Spaces
Sampling, estimation and integration in high dimensional continuous spaces is required in diverse areas ranging from modeling multi-particle physical systems and optimization to inference from data. When the number of ...
Engineering 3D Organotypic Models for the Study of Breast Cancer Metastasis
Breast cancer is the most common form of cancer among women the world over.
Metastasis, or, the spreading of the primary tumor to other vital organs, is the major
cause of mortality in breast cancer. Metastasis is a ...