Division of Interdisciplinary Research: Recent submissions
Now showing items 141-160 of 537
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An Empirical Study of Transformative Learning Resulting Due to Profession Change
A career choice may emerge or be adopted due to personal interest or to balance a range of factors like familial influences, educational qualifications and economic considerations. Once a choice has been made, some follow ... -
Fabrication and Characterization of Nanostructured Antibacterial Surfaces
Bacterial antibiotic resistance is becoming wide spread due to the excessive and unregulated use of antibiotics in healthcare and agriculture. At the same time the development of new antibiotics has become slow. Adding ... -
Mechanistic insights into the effects and applications of shockwaves in prokaryotic and eukaryotic organisms
Shock waves are non-linear waves propagating at speeds greater than the speed of sound, with a unique characteristic of instantaneously increasing the pressure, temperature and density of the medium through which they ... -
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 ... -
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 ... -
Normally off AlxGa(1-x)N/GaN devices: Materials, process and device architecture innovations
AlxGa(1-x)N/GaN HEMTs find applications in power electronics systems as high-frequency power switches. The formation of a highly mobile 2 dimensional electron gas (2DEG) at a heterointerface in an otherwise insulating wide ... -
Cryomilled Group IV elements (Silicon & Germanium) for optoelectronic applications
Group IV elements such as silicon and germanium are elemental semiconductors and lead to the evolution of modern electronic applications. Synthesis of contamination-free nanoparticles of these materials in bulk quantity ... -
Antibacterial Surfaces Mechanisms, Design and Development
The spread of disease-causing microorganisms through high-touch surfaces and their increased tolerance against antimicrobials and the host immune system is responsible for several fatal diseases. By the year 2050, Antimicrobial ... -
Financing of Technology Startups in Bangalore: An Empirical Study of Requirements, Sources and Performance
Tech startups are integral drivers of economic growth in any economy, given their potential role and significance in employment generation, wealth creation, and aggregate output of a nation. However, most startups are ... -
Investigation of Buffer Design and Carbon doping in AlGaN/GaN HEMTs for High Breakdown Voltages
III-nitride HEMTs are strong contenders for next-generation power electronic applications. The superior material and electrical properties render GaN-based transistors suitable for high-power switching. The material ... -
Nanopore Based Single-molecule Sensors
In the past two decades nanopores have been used as highly sensitive detection systems for exploring the properties of analytes at single molecule resolution. The small dimensions of a nanopore permit the molecule of ... -
Revenue Management In Remanufacturing
The pace of development in the world has increased over the years and with it, the use of hitech gadgets, consumer durables, automobiles etc. has also gone up. In this context, as resources become more and more scarce, ... -
Characterization of Divergence resulting from Workload, Memory and Control-Flow behavior in GPGPU Applications
GPGPUs have emerged as high-performance computing platforms and are used for boosting the performance of general non-graphics applications from various scientifi c domains. These applications span varied areas like social ... -
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 ... -
Stabilized finite element schemes for computations of viscoelastic free-surface and two-phase flows
Viscoelastic flows can be found in a wide range of industrial and commercial applications such as enhanced oil recovery, pesticide deposition, medicinal/pharmaceutical sprays, drug delivery, injection molding, polymer ... -
Water Market for Efficient Management of Water Resources in India
India sustains nearly 17% of the world's population but with only 4 % of global water resources. In India, the water sector faces enormous pressure due to increased demand resulting from population growth, industrialisation, ... -
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 ...