Division of Interdisciplinary Research
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Development of Efficient Scheduling Algorithms for Dynamic Real Time Scheduling of Burn-in Oven(S) in Semiconductor Manufacturing
This study addresses dynamic and real-time scheduling of a bottleneck batch processing machine, particularly Burn-in Oven (BO) used in the testing stage of Semiconductor Manufacturing (SM) process to perform Burn-in operation ... -
From Impact to Encapsulation: Advancing Droplet Technologies with Liquid Marbles
Droplets, in their myriad forms and functions, have become indispensable players in the world of microreactors, drug delivery systems, crystallization studies, and cell culture platforms. These tiny, self-contained units ... -
Modelling Approaches for Planning Renewable Energy Transitions and Integrating Demand-Side Interventions in Electricity Systems
As global awareness of the devastating impacts of climate change is growing, nations are uniting to address the imperative of decarbonization. The electricity sector, known for its high carbon intensity, accounts for the ... -
An arbitrary lagrangian eulerian volume of fluid method for floating body dynamics simulation
The floating body dynamics is treated as a Fluid-Structure Interaction (FSI) problem. A FSI problem is where the forces from the fluid move/deform the interacting structure, and the movement of the structure, in turn, ... -
Sparsification of Reaction-Diffusion Dynamical Systems on Complex Networks
Graph sparsification is an area of interest in computer science and applied mathematics. Spar- sification of a graph, in general, aims to reduce the number of edges in the network while preserving specific properties of ... -
Analog Compute for Edge-AI: Devices, Circuits & SoC
Machine Learning and Artificial Intelligence research has yielded models with huge computational complexities to solve a multitude of problems. These complex models require substantial computational resources to perform ... -
Unravelling the composition space of Zr2FeNiSb2 double half-Heusler thermoelectric material
More than half of annual energy consumption in thermal power plants are released in the form of waste heat. However, this waste heat could be harnessed with the help of thermoelectric (TE) devices which can convert this ... -
Development and Characterization of Multi-finger GaN HEMT for Power switching applications
Power electronics is the branch that connects electricity and the world. Power devices play a significant role in reducing CO2 emissions and saving energy. As technology develops, the main focus is reducing energy consumption, ... -
End-to-end Resiliency Analysis Framework for Cloud Storage Services
Cloud storage service brought the idea of a global scale storage system available on-demand and accessible from anywhere. Despite the benefits, resiliency remains one of the key issues that hinder the wide adaptation of ... -
Integrative multi-platform approach to identify biomarkers of diabetes-associated breast cancer progression
Breast cancer (BrC) is the leading cause of cancer-related death among women worldwide, including in India. Major risk factors for BrC include genetic predisposition, mutations in BRCA genes, post-menopausal hormonal ... -
New Dimension in Senescence: Unraveling Cellular Senescence in Three-Dimensional Scaffolds
Aging is a ubiquitous process that results in the progressive and irreversible loss of function. It is induced by accumulating damage caused by a variety of stressors, both internal and external. Although the advancement ... -
Liquid jet injection into a supersonic crossflow: Influence of jet orifice shape on penetration and atomization
Liquid jet injection into supersonic crossflow is one of the conceptually simple ways of fuel atomization in SCRAMJET engines. The success of these engines demands the efficient mixing of incoming supersonic air and the ... -
Evaluating routine biochemical parameters for breast cancer detection in Indian women: A machine learning approach
Breast cancer stands as the leading cancer type among Indian women, with a mortality rate that surpasses that of nations such as the USA, Australia, and the UK. The higher mortality rate is largely explained by a lack of ... -
Development of Novel Deep Learning Models with Improved Generalizability for Medical Image Analysis
Medical imaging is a process of visualization of disease/tissue in a non-invasive manner. Several imaging techniques like computed tomography (CT), magnetic resonance imaging (MRI), optical coherence tomography (OCT), and ... -
Engineering Nano-Electronic Devices using 2-D Materials: CMOS Logic to Biosensing
Technology scaling has driven the development of semiconductor technology that forms a ubiquitous part of daily utilities such as smartphones, computers, and wearables. However, efforts to continue scaling have met ... -
Study of Human Safety-centric Strategies for Human-Robot Coexistence
With the increasing integration of robots into various domains and their coexistence with humans, ensuring human safety has become a critical concern. This thesis highlights the challenges associated with human safety in ... -
Advances in Architecturing of Large-Scale Photovoltaics: Packaging and Incidence Angle Agnostic Hierarchical Nanostructures
Encapsulant of Graphene embedded polymer that exhibits low permeability to moisture and oxygen were used as a packaging material for OPVDs. Graphene-Surlyn encapsulated and unencapsulated devices were stored both in ambient ... -
Optical and Electrical Studies of Hybrid Nanomaterial Composites Based on Noble Metal Nanostructures
Localized surface plasmon resonance (LSPR) in noble metal nanoparticles like gold (Au) and silver (Ag) results in enhancements in optical absorption and scattering by the nanoparticles, accompanied by a dramatic ... -
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 ... -
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, ...