Division of Interdisciplinary Research: Recent submissions
Now showing items 221-240 of 706
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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 ... -
Investigation of Growth, Structural and Optical properties of different phases of Ga2O3
Among the semiconducting sesquioxides, Ga2O3 has attracted considerable research attention in recent years due to its excellent properties, including direct ultra wide band gap, optical transparency, high excitonic binding ... -
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) ... -
Experimental and Numerical Studies on High-pressure Trapped Vortex Combustion
Recent climate change issues demand stringent emission standards for natural gas-fired power generation applications. The Trapped Vortex Combustor (TVC) is a relatively new concept where the flame is stabilized using a ... -
Development of High-Performance Piezoelectric Micromachined Transducers for Near Ultrasound
Near-ultrasound refers to sound with frequencies just above the range of human hearing, from about 18 to 40 kHz. This band is rarely used for typical ultrasound applications and is ignored for all except the most demanding ... -
Data-efficient Deep Learning Algorithms for Computer Vision Applications
The performance of any deep learning model depends heavily on the quantity and quality of the available training data. The generalization of the trained deep models improves with the availability of a large number of ... -
Data Driven Stabilization Schemes for Singularly Perturbed Differential Equations
This thesis presents a novel way of leveraging Artificial Neural Network (ANN) to aid conventional numerical techniques for solving Singularly Perturbed Differential Equation (SPDE). SPDEs are challenging to solve with ... -
Leveraging KG Embeddings for Knowledge Graph Question Answering
Knowledge graphs (KG) are multi-relational graphs consisting of entities as nodes and relations among them as typed edges. The goal of knowledge graph question answering (KGQA) is to answer natural language queries posed ... -
Augmenting Hyperspectral Image Unmixing Models Using Spatial Correlation, Spectral Variability, And Sparsity
Hyperspectral imaging sensors sample sunlight reflected from different targets on Earth's surface by utilising a series of contiguous narrow spectral channels. The higher spectral resolution of hyperspectral images (HSIs) ... -
Assessing protein contribution to phenotypic change using short, coarse grained molecular dynamics simulations
Understanding the functional mapping between genotype and phenotype is an important problem that has ramifications for various diseases. Various existing computational methods can infer these disease-related functional ... -
Optimization of Wastewater Treatment Process in a Bioreactor Through Hydrodynamic-biokinetic Modeling and Experimental Studies
Membrane bioreactor has emerged as one of the leading technologies for treating municipal and industrial wastewater due to its efficiency in producing high-quality effluents. One of the significant challenges in bioreactors ... -
Two-dimensional materials based artificial synapses for neuromorphic applications
The need and demand for continuous high-speed, energy-efficient hardware advancement is undisputed. Traditional computing system with von Neumann architecture leads to high energy consumption and latency due to a huge ... -
Design, Development and Testing of Cervical Dilatation Measurement System
Monitoring labour progression is of utmost importance, to avoid complications during childbirth. Frequent monitoring allows prevention, identification, and management of complications during childbirth. Improper monitoring ... -
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 ... -
Correlation between Morphology, Microstructure and Corrosion Behaviour of Nickel-Phosphorous (Ni-P) Based Electrodeposited Coatings
The Ni-P alloy coatings are widely studied due to their superior mechanical and tribological properties. Ni-P coatings are also considered to be a viable alternative to the chromium (Cr) coatings which utilize environmentally ... -
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. ... -
Anthropogenic Influence on River Water Quality
Anthropogenic factors such as climate change, land use land cover change and industrial and population growth can influence river water quality. Climate change affects water quality due to changes in stream temperature and ... -
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 ... -
Developing an Analytical Model to Predict Customer Churn for Customer Satisfaction (CS) and Customer Loyalty (CL) with respect to Automobile After Sales Service Centres (AASSC)
Customer Satisfaction has always been a key to success for any automobile after sales service centre (AASSC). To retain customer satisfaction (CS) and customer loyalty (CL), it is crucial for any AASSC to track the important ... -
Scanning Probe microscopy of van der Waals heterostructures and non-equilibrium magnetotransport in graphene
Graphene is a two-dimensional semimetal that has linear dispersion in energy-momentum space. When graphene is subjected to a perpendicular magnetic field, the dispersion is no longer linear, resulting in discrete energy ...