All of the articles in this proceedings volume have been presented at the International Conference on Sustainable Micro-Nano Materials & Innovative Technology (IC-SUMMIT 2026) during 13th -14th, February, 2026 in Parul University Vadodara, Gujarat, India. These articles have been peer reviewed by...

A mixed B-site double perovskite ceramic, Na2(Mn0.5Ti0.5)WO6, was synthesised via a conventional solid-state route and comprehensively examined for its structural, microstructural, dielectric, impedance, and thermistor properties. X-ray diffraction analysis confirmed that the ceramic exhibits a dual-phase...

This study describes the synthesis and characterisation of a novel magnetically recoverable nano-catalyst (MAC) from pomegranate seed biomass, promoting value addition to agricultural waste for sustainable materials. The synthesis used a controlled pyrolysis and acid activation approach to prepare a...

Metal Matrix Composites (MMCs) have emerged as an important class of engineered materials in which the ductility and toughness of metallic matrices are combined with the strength and functional capability of ceramic or carbon reinforcements. The review summarizes recent developments, identifies gaps,...

In the present work, hydroxyapatite (HAp) was sustainably extracted from fish-bone biowaste and converted into a functional ceramic material through appropriate thermal treatment. The thermal behavior of the biogenic precursor was investigated using thermogravimetric and differential thermal analysis...

In this paper, the performance of an IGBT with a Si0.75Ge0.25 layer in the p-body is analyses using TCAD. SiGe has a small bandgap, enhancing carrier mobility and hole injection efficiency and improving conduction characteristics. The simulation results show that the SiGe-engineered IGBT has a total...

Gate electrostatic control has become crucial for the reliable working of enhancement-mode GaN based high-frequency and power transistors. In this work, recessed-gate GaN HEMT with a stacked gate dielectric and an AlGaN back-barrier layer is analyzed using TCAD simulations and is compared with a former...

Street vendors represent a large informal occupational group in urban India and are continuously exposed to traffic-related air pollution, significantly increasing their risk of respiratory morbidity. Conventional spirometry, although considered the gold standard for lung function assessment, is limited...

Increasing dependency and demand on digital healthcare systems, needs for secure, efficient, and intelligent management of patient data traffic have become critical. This research explores the study of patient related network traffic in a Software-Defined Networking (SDN) environment. Some promising...

Many of today’s monitoring technologies are based on scheduled check-ins which can introduce delays in dealing with chronic disease. To overcome this disadvantage, in this work, we propose an artificial intelligence based Personalized Healthcare Monitoring System that employs Deep Learning and optimized...

Epileptic seizures occur unpredictably and can severely impact patient safety and quality of life. Accurate seizure prediction from EEG signals enables timely intervention and improves clinical decision-making. This paper presents Deep Wave Net, a compact hybrid convolutional–recurrent neural network...

In modern time, PCF based sensors are primarily attribute towards strong light–matter interaction, superior sensitivity, and versatile structural design providing for advanced optical sensing application which collectively enables efficiency and precise sensing. This paper presents a thorough review...

Reinforcement learning (RL) is proving to be a significant enabler of intelligent autonomy in UAVs, such that perception, decision-making, and control policies can be learned within drones through their interactions with complex and uncertain environments. Overall, while traditional model-based control...

Manipulated multimedia is a critical challenge in our day to day life. In the preceding decades, rapid progress in Artificial Intelligence, Machine Learning, and Deep Learning has resulted in new techniques and various tools for altering media formats. Advanced AI tools are used to produce fabricated...

A Major element of affective computing, intelligent surveillance, and human–machine interaction is facial emotion analysis. However, the great accuracy of current deep learning-based models, like Convolutional Neural Networks (CNNs), comes with a high computational and energy cost, making them unsuitable...

Chronic Kidney Disease (CKD) is a significant public health issue leading to considerable morbidity and mortality and necessitating early diagnosis for its prevention from advancing to the end stage of renal failure. Recently, machine learning (ML) has also been applied as an effective technique to predict...

Rotary Friction Welding (RFW) represents a critical solid-state joining methodology in advanced manufacturing sectors, yet conventional implementations suffer from parameter inconsistency and limited process transparency. This research investigates the integration of Internet of Things (IoT) technologies...

Image super-resolution (SR) plays a vital role in enhancing low-resolution data across applications such as remote sensing, medical imaging, and video processing. Traditional interpolation and statistical methods often fail to recover fine details, whereas deep learning approaches, particularly GAN-based...

A serious mental health condition that affects new moms, postpartum depression (PPD) frequently has a negative impact on both the mother and the child. Conventional screening techniques, including the Edinburgh Postnatal Depression Scale (EPDS), limit early intervention because they mainly concentrate...

Precise Brain Tumor Detection from MRI video scans is essential for effective treatment planning and diagnosis at early stage. Current methods often fight to model spatio-temporal dependencies, address class imbalance, and generalize across heterogeneous datasets. To overcome these limitations, this...

One of the main causes of permanent blindness in the globe is glaucoma, and successful treatment depends on early detection. Automated glaucoma identification utilising fundus and optical coherence tomography (OCT) images has been made possible by recent developments in machine learning (ML) and deep...

Crude oil continues to be a major obstacle to effective pipeline transportation due to its very high viscosity, inclination toward wax crystallisation, and multiphase flow behaviour. Each of these characteristics increases flow resistance, which raises energy costs and creates operating difficulties....

The objective of this study is to improve the aerodynamic efficiency of the aerofoil using novel method of minute vortex generators. The simulation work was carried out using Reynold Average Navier Stokes equation with k omega SST turbulence model to evaluate the aerodynamic performance in terms of lift,...

Formamidine exhibits favourable optoelectronic characteristics and significant potential and enhanced thermal stability as a perovskite; however, their device performance is often constrained by interfacial charge losses and defect-mediated recombination processes. In this work, comprehensive numerical...

Lithium-ion (Li-ion) batteries are widely used in electric vehicles and energy storage systems. However, efficient thermal management use is essential to maintain safety, performance, and operational life of Li-ion batteries. In the current study, three-dimensional (3D) transient numerical simulations...

To achieve fluorine-free superhydrophobicity, a combination of long-chain carboxylates and polar metal-oxide nanophases is used. The materials are incorporated into off-the-shelf polymer matrices, and the obtained coatings are deposited via scalable spray deposition. The coatings can show low surface...

The focus of this paper is the so-called functional polymer thin films deposited via all-dry vapour-phase processes including CVD, plasma-enhanced CVD, and paracyclophane-based CVD, with the aim of engineering substrate-independent microbial-resistant surfaces for a broad range of healthcare, membrane...

In recent developments, Carbon Fiber Reinforced Plastics (CFRPs) components have drawn substantial attention in the aviation industry due to their environmental stability and lightweight properties. One of the most common machining operations carried out before the final assembly of any complex component...

Over the years, induction heating has become a widely used method for heat treating fasteners because it delivers heat quickly and exactly where it’s needed. This localized control is critical in a production environment. Heat can be applied to the heads of bolts or threads (or both) in seconds with...