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Abstractions and Optimizations for Data-driven Applications Across Edge and Cloud
Modern data driven applications have a novel set of requirements. Advances in deep neural networks (DNN) and computer vision (CV) algorithms have made it feasible to extract meaningful insights from large-scale deployments ...
Micro-carriers mediated bacteriophage delivery for targeting intracellular Mycobacterium tuberculosis infection and TB prevention
Tuberculosis (TB) is a debilitating infectious disease that afflicts 10 million people every year. Treatment is particularly challenging due to prolonged treatment duration (4-6 months) consisting of an oral regimen of 4 ...
Experimental and computational approaches to understand collective behaviors of bacterial pathogen Pseudomonas aeruginosa
Pseudomonas aeruginosa is a Gram-negative opportunistic pathogen, estimated to account for 15-20% of hospital-acquired infection-related deaths around the globe in a year. This bacterium exhibits two distinct collective ...
Deeply Scaled InAlN/GaN-on-Silicon High Electron Mobility Transistors for RF Applications
Wide bandgap gallium nitride (GaN) based high electron mobility transistors (HEMTs) are promising candidates for next-generation radio frequency (RF) power amplifier applications owing to high electron saturation velocity ...
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) ...
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 ...
Towards Design and Development of Indigenous Rate-Grade MEMS Gyroscopes
Gyroscopes sense angular speed of the body on which they are mounted. Traditional mechanical gyroscopes are big, bulky, expensive, and hence limited to a few applications. With the advent of Micro-Electro-Mechanical Systems ...
On the Optimality of Generative Adversarial Networks — A Variational Perspective
Generative adversarial networks (GANs) are a popular learning framework to model the underlying distribution of images. GANs comprise a min-max game between the generator and the discriminator. While the generator transforms ...
Design and Analysis of Random Access Protocols for Massive Machine-Type Communications
Massive machine-type communications (mMTC) is a 5G and beyond use case, where the network is expected to serve millions of devices per square kilometre. Typical mMTC devices include smart energy meters, pressure sensors, ...
Tailored Synthesis of Hexagonal Boron Nitride: Chemical Vapor Deposition and Next Generation Devices
The introduction of two dimensional (2D) materials in electronic device applications
has provided a platform for several new device concepts and
architectures. Hexagonal boron nitride (hBN) is the only insulator in the ...