Division of Interdisciplinary Research
Recent Submissions
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Gallium Oxide based High Voltage Diode : Design, Fabrication, Characterization and Modelling
High-efficiency power electronic devices intend to play a significant role in curbing global warming and enhancing energy conservation. Owing to its superior material properties, Gallium oxide (Ga2O3) has emerged as a new ... -
Structural and functional studies on the hypothetical protein TTHA1873 from Thermus thermophilus
This thesis reports a detailed study on the structural and functional characterization of the hypothetical protein (TTHA1873) from Thermus thermophilus. In this study, both the structure and function of TTHA1873 were ... -
Interfacial Phase Change Phenomenon during Crystallization and Boiling in Droplets
Two-phase interaction of droplets on heated substrates is ubiquitous and has applications in power plants, industrial cooling, and particle drying. At temperatures significantly higher than the saturation temperature of ... -
A divide-and-conquer distance geometry method to model protein structures from NMR spectroscopy
Nuclear Magnetic Resonance (NMR) spectroscopy provides insights into the dynamic behavior of proteins in solution, eliminating the need for crystallization. NMR experiments can spatially probe nuclei within 6 Angstroms of ... -
Development of a Structural Model with Prioritizing and Ranking of Vital Enablers for Successful Adoption of Lean Production System in Indian SME
In today's competitive global business environment, every businesses must refine their manufacturing strategies to survive and thrive. Among various manufacturing strategies, the Lean Production System (LPS) stands out as ... -
Integrating Coarse Semantic Information with Deep Image Representations for Object Localization, Model Generalization and Efficient Training
Coarse semantic features are abstract descriptors capturing broad semantic information in an image, including scene labels, crude contextual relationships between objects in the scene, or even objects described using ... -
Investigations on Flow in Supercritical CO2 Ejectors
Adopting natural eco-friendly refrigerant carbon dioxide (CO2) in energy conversion devices is gaining prominence globally. Supersonic ejectors are passive devices that energize and compress a secondary stream using a ... -
PZT Based High-speed Electro-Optic Modulator- Material Development, Fabrication, and Photonic Device Characterization
Electro-optic (EO) modulator is a device that converts the electrical signal into an equivalent optical signal, which finds application in fields such as modulating the power of a laser beam, high-speed digital data ... -
Sandwiched Hybrid Waveguide Platform for Integrated Photonics Applications
Guided wave optical technology, made possible by the invention of lasers and low-loss optical fibers, has revolutionized communication over the past century. With their high bandwidth capabilities, optical fibres have ... -
Investigations on Single DC Source Hybrid Multilevel Topologies with Extended Linear Modulation Range for Variable Speed Drives
Multilevel inverters (MLIs) are preferred for high and medium power applications due to their numerous advantages over traditional two-level inverters. MLIs generate output phase voltages with multiple levels, mitigating ... -
On-Chip Photonics for Spectroscopy and Sensing
On-chip photonics for spectroscopy and sensing refers to the integration of photonic components and devices onto a single semiconductor chip to enable efficient and compact spectroscopic and sensing applications. Traditional ... -
Interface Engineering and Optimization of Methylammonium Lead Iodide-Based Perovskite Solar Cells: From Fabrication Processes to Performance Enhancement
Perovskite solar cells (PSCs) have emerged as a promising technology for efficient and cost-effective photovoltaic energy conversion. Among the various perovskite materials investigated, Methylammonium lead iodide (MAPbI3) ... -
Aptamer-based approaches for multiplexed sensing applications
Biosensors offer high specificity, sensitivity, real-time recognition, and rapid response across various applications, including Medical Diagnostics, Environmental Monitoring, Food Safety, agriculture, Point-of-Care ... -
Food and Nutritional Status: Overall Assessment and COVID-19 Studies
Malnutrition remains a global health concern, especially in India with high child mortality rates. While some studies examine nutrient inadequacy in a child’s diets, a lack of comprehensive assessment of underlying ecosystem ... -
Scalable Video Data Management and Visual Querying System for Autonomous Camera Networks
Video data has been historically known for its unstructured nature, rich semantic content and scalability issues in terms of storage. With advances in computer vision and Deep Neural Net works (DNNs) it is now possible ... -
Efficient and Effective Algorithms for Improving the Robustness of Deep Neural Networks
Deep Neural Networks achieve near-human performance on several benchmark datasets, yet they are not as robust as humans. Their success relies on the proximity of test samples to the distribution of training data, resulting ... -
Modeling physiological transport at scales: connecting cells to organs
The physiological system is a complex network in which each organ forms a subsystem, and the functional networks in different subsystems communicate to maintain the body’s overall homeostasis. The ability to simultaneously ... -
A Neural Network Approach to Modelling Hawkes Processes for Financial Applications
In 1971, Alan Hawkes introduced a set of stochastic point processes characterized by the unique feature that the incidence of an event heightened the likelihood of subsequent events, leading to the clustering of events. ... -
A scalable asynchronous discontinuous Galerkin method for massively parallel flow simulations
Accurate simulations of turbulent flows are crucial for understanding numerous complex phenomena in engineered systems and natural processes. Notably, under realistic conditions with high Reynolds numbers and complex ... -
Fast and Scalable Algorithms for Intelligent Routing of Autonomous Marine Agents
Autonomous marine agents play a pivotal role in diverse ocean applications. These agents serve as indispensable instruments for acquiring crucial environmental information. They are used to explore and monitor harsh ...
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