With new emerging technologies, designing with wired, wireless and optical interconnects will become easier. When designers have these three interconnect options, choosing between them and using the suitable interconnect ...

In this semester, We have worked on the following research problems: 1. Energy Harvesting ADCs: A common sample-and-hold (S/H) based ADC architecture tracks the analog signal for a fraction of the sampling period, and the ...

This research explores the evolving landscape of Explainable Artificial Intelligence (XAI), with a specific focus on counterfactual explanations and their role in ensuring fairness and reducing bias in AI decision-making. ...

Wireless devices, including mobile phones, laptops, autonomous driving, UAT, etc., generate an enormous amount of local data, which could be employed to train machine learning models for decision-making and improve prediction ...

Modeling directly raw waveforms through neural networks for speech processing is gaining more and more attention. Despite its varied success, a question that remains is: what kind of information are such neural networks ...

Our project is a Hybrid UAV for Air Delivery and Sampling Purposes with a unique VTOL mechanism. We have designed our UAV especially for water sampling and air delivery purposes; However, UAVs of our similar design can ...

The primary goal of this project is to identify and develop a system to monitor Key Performance Indicators (KPIs) that can enhance the efficiency of Public Bus Services in Delhi. By meticulously analyzing various aspects ...

Deep learning involves training machines to understand patterns, classify objects, and predict outcomes. This has led to the emergence of various fields, including computer vision, natural language processing, speech ...

Encryption algorithms are used to protect confidential data from unauthorized access by scrambling it into an unreadable format, using a private key. The security of the algorithm is largely dependent on the safety of the ...

This project aims to devise a concise methodology for onboard computation for trajectory planning in launch vehicles. Our methodology is primarily based on optimal control theory; the framework would apply to multiphase-phase ...