Browsing Division of Interdisciplinary Research by thesis submitted date"2022"
Now showing items 21-40 of 57
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Diabetogenesis and Albumin Molecular Modifications Newer Biological Insights and Clinical Implications
To address the many unmet scientific needs in diabetes care (pathogenesis pathways, earliest diagnosis, efficient monitoring, safer and better therapies and importantly prevention approaches), our research focussed on: (a) ... -
Droplet, Jets, and Leaky Surfaces
Surface structuring on a micro-nano scale, combined with a low surface energy coating, leads to anti-wetting properties. Such surfaces also exhibit other properties such as self-cleaning, antifouling, bacteriostatic, drag ... -
Electronic Photonic Circuit Design for RF Transceiver
RF over fibre (RoF) based communication system combines features of mm-wave and optical fibre communication. The RoF-based system has the advantage of both optical fibre systems (such as high bandwidth, signal transparency, ... -
Epistasis Detection and Phenotype Prediction in GWAS Using Machine Learning Methods
Genome-wide association studies (GWAS) are used to find the association between genetic variants, Single Nucleotide Polymorphisms (SNPs), and phenotypic traits or diseases in a population. The number of GWAS has increased ... -
Experimental Investigation of Novel High Shear Injector at Elevated Pressure Conditions: Hydrodynamics, Spray and Combustion Characterization
The stringent pollution and emission norms due to the present climate change and global warming have pushed industries to meet these norms and cut down their emission levels. In the same pipeline, the aviation industries ... -
Exploring Soft Matter and Modified-Liquid Electrolytes for Alkali metal (Li, Na) Based Rechargeable Batteries
The current upsurge in demand for high energy density batteries for applications across industries ranging from small scale portable electronics, electric automobiles to storage grids, has led to research in next generation, ... -
Growth of hole-conducting Cu2O & CuO semiconductors using CVD for next-generation electronic devices: Thin Films Transistors, Memristors, and Gas Sensors
Semiconducting oxides with visible-range transparency and high electrical conductivity have tremendous potential for transparent CMOS devices. Oxide semiconducting materials are a good choice for emerging transparent ... -
Improving Healing Outcomes in Diabetic Wounds by Understanding and Modulating Immune Responses
Diabetic Foot Ulcers (DFUs) are chronic wounds that show delayed or absence of healing in individuals with diabetes. Currently, diabetic wounds are managed clinically through regular debridement, pressure off-loading, ... -
INTERPIN: identifying INtrinsic transcription TERminators, hairPINs in bacteria
The conversion of DNA to RNA through transcription is an important step in the life cycle of every organism. It ensures that the genetic information in DNA is converted through RNA into instructions/blueprints for the ... -
Investigating Mechanical Properties of Suspended Ovarian Cancer Cells and Clusters
The peritoneal cavity of a patient suffering from advanced epithelial ovarian cancer is filled with disseminated multicellular aggregates, commonly known as spheroids. These spheroids colonize abdominal organs leading to ... -
Investigation of Au-free AlGaN/GaN HEMT on Silicon with substrate transfer process: From Ohmic contacts to RF performance
The technological importance of III-nitride based high electron mobility transistors (HEMTs) for power switching and RF applications is growing rapidly, owing to two advantageous electrical properties. While high sheet ... -
An Investigation of the Characteristics of Monsoon Low Pressure Systems in the Present Climate and their Sensitivity to Topography and Climate Change
Monsoon Low-Pressure Systems (LPS) are synoptic-scale tropical disturbances that periodically form over the Indian subcontinent during the summer monsoon season (June-September). Apart from being a lifeline to agriculture, ... -
Landmark Estimation and Image Synthesis Guidance using Self-Supervised Networks
The exponential rise in the availability of data over the past decade has fuelled research in deep learning. While supervised deep learning models achieve near-human performance using annotated data, it comes with an ... -
Learning to Perceive Humans From Appearance and Pose
Analyzing humans and their activities takes a central role in computer vision. This requires machine learning models to encapsulate both the diverse poses and appearances exhibited by humans. Estimating the 3D poses of ... -
Methods for Improving Data-efficiency and Trustworthiness using Natural Language Supervision
Traditional strategies to build machine learning based classification systems employ discrete labels as targets. This limits the usefulness of such systems in two ways. First, the generalizability of these systems is limited ... -
Minimizing latency in data acquisition, distributed processing, storage and retrieval
Achieving low latency is of utmost importance in applications demanding real-time sensing and control as in cyber-physical systems. In this thesis, we explore three different facets of ensuring low latency in such systems. ... -
Mitigating Domain Shift via Self-training in Single and Multi-target Unsupervised Domain Adaptation
Though deep learning has achieved significant successes in many computer vision tasks, the state-of-the-art approaches rely on the availability of a large amount of labeled data for supervision, collection of which is ... -
Multi-layered Composite Structures for Electromagnetic Interference Shielding Applications
With the recent surge in the usage of electronic devices, electromagnetic interference (EMI) poses a serious threat. Unwanted electromagnetic (EM) waves not only interfere with the normal functioning of electronic components, ... -
Novel Neural Architectures based on Recurrent Connections and Symmetric Filters for Visual Processing
Artificial Neural Networks (ANN) have been very successful due to their ability to extract meaningful information without any need for pre-processing raw data. First artificial neural networks were created in essence to ... -
Numerical simulations of hydrogen flames in reheat gas turbine combustor: effect of pressure scaling and fuel blending
With a goal toward a net-zero energy supply, hydrogen, hydrogen-enriched natural gas, and biofuels, which reduce the carbon footprint, are actively being considered for firing stationary gas turbine engines. In this regard, ...