etd AT Indian Institute of Science: Recent submissions
Now showing items 61-80 of 6749
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An investigation of the sensitivity of climate feedbacks to the latitudinal distribution of radiative forcing using the radiative kernel approach
It is well known that climate sensitivity, defined as the global mean surface temperature change per unit radiative forcing, depends on the forcing agents (such as CO2, CH4, O3, aerosols, solar radiation, land cover change, ... -
Quantum and classical hardware development for superconducting qubits
The journey toward realizing practical quantum computing involves overcoming critical challenges in qubit architecture, robust gate performance, and scalable control systems. This thesis addresses these challenges through ... -
Role of HCN Currents (Ih) in Epileptiform Activity in Subicular Neurons
Subicular burst firing neurons are established as primary instigators of seizure onset and propagation in Temporal Lobe Epilepsy (TLE), a form of focal epilepsy that accounts for approximately 60% of all epilepsy cases in ... -
Mathematical and data-driven modelling of viral infections: Applications to HIV/AIDS and COVID-19
Remarkable advances are being made in developing interventions for eliciting longterm remission of HIV-1 infection. The success of these interventions will obviate the need for lifelong antiretroviral therapy, the current ... -
Monolayer MoS2 and plasmonic heterostructure for molecular sensor
In recent years, artificially engineered materials, known as meta structures, have demonstrated tuneable optoelectronic properties, making meta-coupled devices highly advantageous for a wide range of technological applications. ... -
Theta modulated dynamics in the hippocampus and its inputs during spatial navigation
The hippocampus is crucial for spatial navigation and has been hypothesized to integrate sensory information and mnemonic cues about items and experiences within a spatial context to create memories. Area CA1 is the ... -
Loop Transformations for Multi-/Many-Core Architectures using Machine Learning
Loop transformation techniques such as loop tiling, loop interchange and unroll-and-jam help expose better coarse-grain and fine-grain data-level parallelisms as well as exploit data locality. These transformations are ... -
Learning with Multi-domain and Multi-view Graph Data
In many applications, we observe large volumes of data supported on irregular (non-Euclidean) domains. In graph signal processing (GSP) and graph machine learning (GML), data is indexed using the nodes of a graph and ... -
Ultrasonic Guided Wave-based Inspection of Additively Manufactured Components
Layered structural components, such as laminated composites and those made via Additive Manufacturing (AM), are widely used in aerospace and automotive industries due to their various advantages. The layer-wise approach ... -
Contact Line Instabilities in Thin Film Flows on Curved Surfaces
Thin fluid film flows are ubiquitous in nature and many industrial applications. Such flows are characterized by having the thickness in one direction being much smaller than the characteristic length scales in the ... -
Sequential Transfer in Multi-Armed Bandits using Reward Samples
We consider a sequential multi-task problem, where each task is modeled as a stochastic multi-armed bandit with K arms. We study the problem of transfer learning in this setting and propose algorithms based on UCB to ... -
Characterizing the link between dynamics and function in proteins that violate the structure-function paradigm
The structure-function paradigm states that the three-dimensional structure of a protein is dictated by its amino acid sequence, which influences its function. However, this paradigm fails to explain the behaviour of ... -
Synthesis, Structure, and Properties of Compounds Derived from Mineral Structures
The development of solid-state chemistry is the result of many studies on compounds belonging to structures such as perovskite, pyrochlore, spinel etc. There is a large family of compounds that belong to naturally occurring ... -
Fair and Efficient Dynamic Memory De-bloating
The virtual memory abstraction simplifies programming and enhances portability but requires the processor to translate virtual addresses to physical addresses which can be expensive. To speed up the virtual-to-physical ... -
The Determinants and Phases of Tech Startup Emergence: An Empirical Analysis of Hardware-Based Tech Startups in India
Given the distinctive features of hardware-based tech startups that produce physically embodied systems (including electronics, electrical, electromechanical, mechanical, molecules, formulation, Biotech/Meditech devices, ... -
Analysis, Modelling and Prediction of Protein-Protein Interfaces and Application to Biological Problems
Proteins play crucial roles in many biological processes like signalling, catalysis of metabolic processes, immune systems, and transporting molecules. To perform this wide range of functions, proteins interact with other ... -
Delayed Luminescent Materials: Development and Exploration of Applications
Delayed luminescence (DL) refers to light emission that persists after the excitation source is removed. Differing from conventional fluorescence, DL has a considerably longer lifetime attributable to the slow exciton ... -
Sustainability Assessment of Second Generation Biofuel Supply Chain within Circular Economy Framework
The global demand for renewable energy sources has intensified and, the second-generation ethanol has emerged as a promising alternative to traditional fossil fuels. This study presents a comprehensive sustainability ... -
Adaptive and Optimal Control based Artificial Pancreas for Type-1 Diabetes Mellitus Patients
This research focuses on the development of adaptive and optimal control algorithms and their implementation to develop Artificial Pancreas (AP) systems for glucose regulation in Type-1 Diabetes Mellitus (T1DM) patients. ... -
Understanding the Effect of Molecular Oxygen and Gold Substrate in the Chemistry of 2D MoS2 Growth During Chemical Vapor Deposition
Two-dimensional (2D) transition metal dichalcogenides, such as molybdenum disulfide (MoS2), are emerging candidates for varied applications, including neuromorphic computing, catalysis, gas separations, and optoelectronic ...