Browsing Division of Interdisciplinary Research by thesis submitted date"2022"
Now showing items 41-57 of 57
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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 ... -
Optimizing the Interval-centric Distributed Computing Model for Temporal Graph Algorithms
Graphs with temporal characteristics are increasingly becoming prominent. Their vertices, edges and attributes are annotated with a lifespan, allowing one to add or remove vertices and edges. Such graphs can grow to millions ... -
Prediction of Dynamical Systems by Constraining the Dynamics on the Observational Manifold
Evolution models of dynamical systems posed as differential equations generally do not include all the factors affecting the system. This leads to a mismatch between the model prediction and the observations. In this work, ... -
Relating Representations in Deep Learning and the Brain
Deep Neural Networks (DNN) inspired by the human brain have redefined the state-of-the-art performance in AI during the past decade. Much of the research is still trying to understand and explain the function of these ... -
A Relational Study of Personality Traits, Learning Styles, Learning Competencies, Learning Methods, and Assessment Methods for Engineering and Management Students Studying the Internet of Things Related Knowledge Areas
According to India's Human Resource Development Ministry, as of 2019, 6000 plus engineering institutions across India enrolled 2.9 million students every year. They also mentioned that nearly 1.5 million students graduated ... -
Reliability Physics of Thin-Film Transistors
Thin-film transistor technology based on non-crystalline materials forms the workhorse of large area electronics applications including display systems, sensor systems and novel technologies including flexible electronics. ... -
Representation of Natural Stimuli in Neural Signals across Scales and Frequencies
Neural activity from the brain can be recorded at different scales using a variety of electrodes, which vary in their resolution, cortical spread and invasiveness. The electroencephalogram (EEG) is recorded from the scalp, ... -
Resolvin D1-loaded Liposomal Nanocarriers for the Treatment of Osteoarthritis
Osteoarthritis (OA) is the most common disorder of the joints and currently affects >300 million patients worldwide. In this disease, the articulating cartilage undergoes progressive damage which leads to severe pain and ... -
Scalable Asynchrony-Tolerant PDE Solver for Multi-GPU Systems
Partial differential equations (PDEs) are used to model various natural phenomena and engineered systems. At conditions of practical interest, these equations are highly non-linear and demand massive computations. Current ... -
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 ... -
Self-Supervised Domain Adaptation Frameworks for Computer Vision Tasks
There is a strong incentive to build intelligent machines that can understand and adapt to changes in the visual world without human supervision. While humans and animals learn to perceive the world on their own, almost ... -
Sustainable Urban Mobility: Urban Public Transport Systems Sustainability Assessment
Urban public transport systems have become an inevitable choice to promote sustainable urban mobility in almost every city in the world. In India, buses are the most popular and convenient mode of transport in urban cities. ... -
Theory and Algorithms for sequential non-Gaussian Bayesian filtering and estimation
Seamless integration of dynamical system models with sparse measurements, called as Data Assimilation, is important in many applications like weather forecasting, socio-economics, navigation, and beyond. In order to produce ... -
Towards Design, Fabrication, Packaging, Integration, and Characterization of High-Performance MEMS Gyroscopes
MEMS vibratory gyroscopes are used to measure the angular rate of a body by sensing the Coriolis force induced motion of the sensing element vibrating in a rotating frame of reference. MEMS gyroscopes find use in a wide ... -
Towards Robust and Scalable Video Surveillance: Cross-modal and Domain Generalizable Person Re-identification
With rapid technological advances, one can easily find video surveillance systems deployed in public places such as malls, airports etc. as well as across private residential areas. These systems play a critical role in ... -
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 ...