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 ...

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 ...

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 ...

Closed loop supply chain has been an area of research which has evolved over the years. This thesis aims to address a problem in this domain, specifically from the perspective of an Original Equipment Manufacturer (OEM) ...

𝛽-Ga2O3 is a candidate for a new generation of power semiconductors that can significantly lower the conduction losses and increase power density in the power converters. PFOM or power figure of merit (V2Br/Ron) is a ratio ...

Dynamical systems with uncertain fluctuations are usually modelled using Stochastic Differential Equations (SDEs). Due to operation and performance related conditions, these equations may also need to satisfy the constraint ...

2D material-based nanoelectromechanical systems have emerged as excellent tools for force measurement with extreme sensitivity levels. Most sensing methods with 2D nanoelectromechanical (2D NEMS) systems utilize frequency ...

Unmanned Aerial Vehicles (UAV) are essentially automatic flight vehicles having dimensions, wingspan and airspeed, smaller than the conventional aerial vehicles. UAVs are employed widely in applications such as surveillance ...

Around 334 million people have asthma worldwide. Asthma is an inflammatory disease of the airways which causes cough, breathlessness, chest tightness, and other peculiar sounds during breathing. The golden standard test ...

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 ...