Faculty Publications

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Scholarly Publications by Integral Academia

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    Nanowire-FET Role in healthcare applications
    (Taylor & Francis CRC Press, 2026) Anita Shukla, Ankit Jain, Shailendra Singh, Puspraj Singh Chauhan, Imran Ullah Khan
    Nanomaterials like carbon nanotubes (CNTs), nanowires, including nanoparticles, have revolutionized biosensing because of their unique quantum properties, which enhance the sensitivity of sensors. Their small size, comparable to that of biomolecules, allows for precise detection, making them invaluable in various applications. Nanowires are important for sensor technologies because of their electrical controllability and chemically reactive surfaces, which allow for sensitivity and multiple sensors measuring properties associated with a detection target. Field-effect transistors (FETs) have existed since the 1930s and have a prominent role in today's technology; they are primarily used in a metal-oxide semiconductor (MOSFET) transistor. These FETs are especially pervasive in digital technology because they are easy to design and can be produced at low cost. Transistor technology has seen scales between 1-2μm and even smaller. The art and science of producing smaller transistors does not necessarily mean the performance has continued to improve, which has led to research and development in novel, advanced technology. Nanowire Field Effect Transistors (NW-FETs) are an exciting choice to produce unique nano-material sensors in healthcare applications that have the highest sensitivity and flexibility. Nanowire FETs could allow researchers to find biomarkers, infectious viruses, and even DNA. An extremely small yet highly sustainable sensor has potential for diagnostic use, drug discovery, and real-time monitoring. NW-FETs may dominate future thinking and capabilities in medical diagnostics and personalized medicine. This chapter looks at how NW-FETs can be exploited for NANOWIRE. FET technology can be valuable in healthcare for virus detection, finding biomarkers, DNA and drug development. We will show how NW-FET technology can marry theoretical principles to practical application via improved diagnostics and therapeutic advantages from improved sensing that is more accurate, reliable, fast as we need for healthcare technologies.
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    REAL-TIME SOLAR PANEL PERFORMANCE MONITORING AND ENERGY FORECASTING
    (CRC Press, 2025) Imran Ullah, Ankit Jain, Anita Shukla, Puspraj Singh Chauhan
    Solar Energy is established as an alternative source of energy known as renewable energy. In a developing country like India, the perspective of Solar Energy is important, as it supports a limitless source of energy. Monitoring and prediction of photo-voltaic energy generation help to reduce the energy loss and empower to utilize more energy. Solar energy prediction is challenging as it depends on the fluctuating solar radiations and climate conditions. The problem statement is to monitor electrical parameters of solar panels and predict energygeneration for energy management procedure. In this chapter, the Internet of Things (IoT) is used as a powerful tool for developing a smart solar system-based energy meter. This meter iscapable of transferring information efficiently regarding wireless energy consumption, and at the same time, it is capable of detecting the usage of electricity of solar panels using IoT. A sophisticated digital gadget called a smart energy meter was created to take the place of the conventional electricity meter. By enabling us to manage and lower our energy use, installing a smart meter will help us do away with projected costs. It has the ability to acquire data remotely and submit meter readings to energy providers. The aim of the present work is the measurement of electricity produced by solar panel. Proposed system monitors solar panels and predict the future energy generation for energy management in IoT base environments. The circuit in the current work is interfaced with the ESP32 Wi-Fi module to examine all the requirements for an electrical energy meter using the SCT-013 current sensor and ZMPT101B voltage sensor. The system can send the solar panel data to the Blynk server from all over the world. On the Blynk application dashboard, the voltage, current, power, and overall unit utilized are displayed in kWh.