• Development of Fully Printed Smart Tags with On-chip Power Sources 

  Priyadarsini, Sushree Sangita

  Within the last two decades, the field of printed and flexible electronics has matured to the level that complex solutions to societal needs can be envisioned. This includes applications involving multi-sensor platforms, ...

• Flood Risk Assessment in Peninsular India: Integrating Data, Multivariate Statistics, and Machine Learning 

  Bhargav Kumar, Kanneganti

  Floods are among the most significant natural hazards in India; however, their drivers, spatial coherence, and potential impacts remain poorly understood, particularly in data-scarce catchments. This thesis addresses these ...

• Learning Action Priors for Deep Visual Predictions 

  Sarkar, Meenakshi

  This thesis addresses the critical challenge of visual prediction in mobile robotics, particularly focusing on scenarios where cameras mounted on autonomous robots must navigate dynamic environments with human presence. ...

• Correlation Between Microstructure, Electrochemical Degradation and Hydrogen Permeation behaviour of Electrodeposited Cobalt Based Coatings 

  Guttula, Mohan Kumar

  The application of cobalt and cobalt based coatings is limited by their electrochemical degradation in corrosive environments. In the present work, corrosion and hydrogen permeation behavior of electrodeposited Co and ...

• The Seasonal ENSO Transition Mode of the Southern Hemisphere: Definition, Characteristics and Impact 

  Srivastava, Shikhar

  Decadal climate variability (DCV) exerts a profound influence on the global climate system by shaping background oceanic and atmospheric conditions. It drives long-term changes in sea surface temperatures (SSTs), monsoon ...

• Morse Potential Based Aggregation in Multiagent Systems with Applications to Circumnavigation and Exploration 

  Maitra, Amritesh

  Swarms of autonomous vehicles, which are modeled as Multi-agent systems (MASs), have found increasing applications in search and rescue, reconnaissance missions, collaborative transportation, among many other applications ...

• Decongestion Strategies for Dense Urban Airspace 

  Sajid Ahamed, M A

  With the rapid growth in the number of uncrewed aircraft systems (UAS) being deployed for on-demand delivery applications, severe congestion is anticipated in the low-altitude class-G urban airspace. Thus, there is a need ...

• Mechanics of Flat-punch Indentation of Metallic Honeycombs Using High-fidelity Continuum Fe Simulations 

  Karthikeyan, Balasubramanian

  Metallic honeycombs and foams are widely used in the automotive and aerospace industries due to their desirable mechanical properties such as light-weight, high and tailorable specific stiffness, high specific strength, ...

• Evaluation of Air Blast Swirl Injector: Flow-Field Hybrid RANS-LES Studies And Coupling With RANS Spray Characterization Colligating Global Combustor Characteristics-A Novel Exploration 

  Rana, Rampada

  The injector plays a critical role in combustion efficiency, flame stability, ignition, and combustor exit profile. The protocol of designing future engines meeting the requirements of lower emissions, noise, and the use ...

• Dynamics of Single Shallow Arches and Statics of Connected Shallow Arches and their Applications 

  Maharana, Priyabrata

  The methods developed in this thesis enable computationally efficient dynamic analysis of shallow arches. They also facilitate insightful design of arches for different applications. The first design study considers ...

• Role of buoyancy in driving upper ocean mixing across timescales 

  Falor, Devang

  This thesis explores the response of the upper ocean to surface buoyancy fluxes on different timescales using theory, numerical simulations and observation-based datasets. First, we investigate the role of evaporation in ...

• Development of Generalizable Spiking Neural Network-Based Learning Frameworks For Solving Perimeter Defense Problem 

  Pagala, Mohammed Thousif

  Spiking Neural Networks (SNNs) are third-generation neural networks that can process information in a more biologically realistic way compared to other neural networks such as sigmoidal networks. They process the information ...

• Development of a novel LPG/PNG domestic burner for high efficiency and low emissions 

  Kashyap, Rahul S

  Domestic cooking is one of the basic human needs, and cookstoves based on fuel combustion are widely used. LPG (Liquified Petroleum Gas) is the most common cooking fuel, followed by PNG (Piped Natural Gas), which has an ...

• Digitalisation of the Quality Management System in the Medical Device Industry for Certification 

  Kannaraya, Puneeth

  The Indian medical device manufacturing sector is rapidly growing yet faces persistent challenges related to regulatory compliance, limited access to advanced technologies, and economic constraints. These issues are ...

• A higher order finite volume discretization based on Staggered Update Procedure (SUP) 

  Subudhi, Shubhashree

  The unstructured data-based finite volume solvers are widely adopted in industrial computations owing to their robustness and flexibility in handling complex geometries. Most of these solvers use linear reconstruction ...

• Analysis of Groundwater Systems Using Lumped and Distributed Hydrological Models: Applications in Indian Tropical Region 

  Goswami, Shubham

  Groundwater is a critical resource for meeting agriculture, domestic, and industrial water demand, particularly in tropical regions of India. However, increasing groundwater extraction, erratic monsoonal rainfall, and ...

• Effect of Flow Regime on Performance of Rotating Gliding Arc Reactor: Experimental and Simulation Studies 

  Pathak, Ram Mohan

  Non-thermal plasma (NTP) technology offers a promising approach for pollutant abatement, gas conversion, and plasma-assisted combustion (PAC) by enabling reactions under atmospheric conditions, bypassing thermodynamic ...

• Mathematical Modelling and Advanced Control Techniques for Irrigation Canal Management 

  Pandey, Rajani

  Efficient water management in irrigation canal systems is vital for sustainable agriculture and environmental conservation. This thesis presents advanced control strategies to optimize water distribution and address the ...

• Isolation of Arsenic and Sodium Hydroxide Recovery Using Nanofiltration for a Zero-waste Arsenic Remediation Scheme 

  Kumar, Subhash

  Groundwater contamination by arsenic poses a significant global health concern, with even trace concentrations leading to severe health issues, including various cancers and cardiovascular diseases. Conventional arsenic ...

• Land-Climate Nexus: Unravelling Compound Extremes From Multivariate Analysis To Transformer Networks 

  Subhadarsini, Suchismita

  The interplay between land use and extreme hydroclimatic events is a crucial aspect of Earth system science, influencing water resources, ecosystem stability, and disaster risk management. Extreme hydrologic events often ...

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