Vinay Chamola

Birla Institute of Technology and Science Pilani | BITS Pilani · Department of Electrical and Electronics

With the recent use of IoT in the field of healthcare, a lot of patient data is being transmitted and made available online. This necessitates sufficient security measures to be put in place to prevent the possibilities of cyberattacks. In this regard, several authentication techniques have been designed in recent times to mitigate these challenges...

The unprecedented outbreak of the 2019 novel coronavirus, termed as COVID-19 by the World Health Organization (WHO), has placed numerous governments around the world in a precarious position. The impact of the COVID-19 outbreak, earlier witnessed by the citizens of China alone, has now become a matter of grave concern for virtually every country in...

Adverse weather conditions such as fog, haze, snow, mist and glare create visibility problems for applications of autonomous vehicles. To ensure safe and smooth operations in frequent bad weather scenarios, image dehazing is crucial to any vehicular motion and navigation task on road or air. Moreover, the commonly deployed mobile systems are resour...

The rapid improvement in the global connectivity standards has escalated the level of trade taking place among different parties. Advanced communication standards are allowing the trade of all types of commodities and services. Furthermore, the goods and services developed in a particular region are transcending boundaries to enter into foreign mar...

Unmanned Aerial Vehicles (UAVs) are becoming very popular nowadays due to the emergence of application areas such as the Internet of Drones (IoD). They are finding wide applicability in areas ranging from package delivery systems to automated military applications. Nevertheless, communication security between a UAV and its ground station (GS) is cr...

Blockchain technology, renowned for its ability to securely store data, hashes, and signatures permanently, faces unprecedented challenges in secure Consumer IoT (CIoT) networks with the advent of quantum computing. This paper proposes a set of robust quantum-based protocols and techniques to address these challenges by enhancing the security, scal...

This paper presents a novel approach to agricultural disease diagnostics through the integration of Deep Learning (DL) techniques with Visual Question Answering (VQA) systems, specifically targeting the detection of wheat rust. Wheat rust is a pervasive and destructive disease that significantly impacts wheat production worldwide. Traditional diagn...

The modern Intelligent Vehicle (IV) is a complex technological marvel that heavily relies on the Controller Area Network (CAN) bus system to enable seamless communication among different electronic control units (ECUs). However, the CAN bus system lacks security mechanisms for authentication and authorization, leaving it vulnerable to various attac...

Precious metals are rare metals with high economic value. Forecasting the price volatility of precious metals is essential for investment purposes. In this work, we propose a novel hybrid model of random convolutional kernels‐based neural network model (RCK) and generalized autoregressive conditional heteroscedasticity (GARCH) model for forecasting...

The image object recognition and detection technology are widely used in many scenarios. In recent years, big data has become increasingly abundant, and big data-driven artificial intelligence models have attracted more and more attention. Evolutionary computation has also provided a powerful driving force for the optimization and improvement of de...

Generative Artificial Intelligence models are Artificial Intelligence models that generate new content based on a prompt or input. The output content can be in various forms, including text, images, and video. Metaverse refers to a virtual world where users can interact with each other, objects and events in an immersive, realistic, and dynamic man...

In the wake of recent global health crises, effective contact tracing has emerged as a key tool in controlling infectious disease outbreaks. However, traditional contact tracing methods predominantly focus on direct tracing, often overlooking crucial indirect contacts. This study aims to address this gap by exploring scenarios where conventional tr...

Traditional multimedia experiences are undergoing a transformation as Generative AI integration fosters enhanced creative workflows, streamlines content creation processes, and unlocks the potential for entirely new forms of multimedia storytelling. It has potential to generate captivating visuals to accompany a documentary based solely on historic...

Designing an Emergency Vehicle Management (EVM) system that can provide competent services with the shortest possible delay is challenging. This is primarily due to the highly complex environments in which they are deployed and the diverse scenarios a vehicle could face after deployment. Compared to other types of vehicles, emergency vehicles opera...

Traditional surveillance video stream monitoring demands manual analysis, often leading to inaccuracies. While recent advancements have enabled automated analysis in surveillance video stream monitoring, challenges persist in achieving high accuracy and efficiency. Thus, an automated system is needed to monitor and report on video streams in real-t...

Key distribution techniques are indispensable for maintaining privacy, preventing unauthorized access, and safeguarding sensitive data in consumer electronics networks. Several recent research works focused on developing conventional key distribution protocols for consumer electronics networks. However, conventional key distribution algorithms face...

Rapid innovation in consumer electronics has made our lives more comfortable. Consumer electronics serve as the primary platform for the Metaverse (MV), offering users an immersive and interactive medium that connects the digital and real worlds. Consumer electronics play a crucial role in ensuring the accessibility and the user experience within t...

The Metaverse, an interconnected network of immersive digital realms, is poised to reshape the future by seamlessly merging physical reality with virtual environments. Its potential to revolutionize diverse aspects of human existence, from entertainment to commerce, underscores its significance. At the heart of this transformation lies Generative A...

Online voting is gaining traction in contemporary society to reduce costs and boost voter turnout, allowing individuals to cast their ballots from anywhere with an internet connection. This innovation is cautiously met due to the inherent security risks, where a single vulnerability can lead to widespread vote manipulation. Blockchain technology ha...

Distributed machine learning in healthcare has great potential in training models to learn from the patients' data distributed across different medical institutions. Recently, there has been a significant surge in research works applying federated learning(FL), a popular distributed machine learning technique in the healthcare sector. However, FL f...

In medical imaging, traditional methods have long been relied upon. However, the integration of Generative Adversarial Networks (GANs) has sparked a paradigm shift, ushering in a new era of innovation. Our comprehensive investigation explores the groundbreaking impact of GANs on medical imaging, examining the evolution from traditional techniques t...

Conversational Artificial Intelligence (AI) and Natural Language Processing have advanced significantly with the creation of a Generative Pre‐trained Transformer (ChatGPT) by OpenAI. ChatGPT uses deep learning techniques like transformer architecture and self‐attention mechanisms to replicate human speech and provide coherent and appropriate replie...

Contact tracing remains essential in mitigating the spread of pandemics (including COVID-19). Specifically, backward contact tracing helps find superspreaders and hidden chains of transmission from asymptomatically infected users. However, most literature proposing contact tracing frameworks and apps deployed by various countries do not attempt bac...

The rise of the Generative Pre-Trained Transformer(GPT) language model, more commonly used as ChatGPT has brought a spotlight on the ever-developing field of Generative AI (GAI).} With current advancements in graphics processing units (GPUs), it has become easier to train and use deep generative models. Similarly, the developments in edge computing...

Unmanned aerial vehicle (UAV) systems have gained widespread recognition due to their versatility and autonomy. Their deployment for disaster mitigation and management operations is seen as one of their most important applications over the past decade. In such UAV networks, routing plays a crucial role in determining network performance parameters...

Human pose estimation has been a prevalent field of computer vision and sensing study. In recent years, it has made many advances that have helped humanity in the fields of sports, surveillance, healthcare, etc. Yoga is an ancient science intended to improve physical, mental and spiritual wellbeing. It involves many kinds of asanas or postures that...

The internet has drastically changed trade and interpersonal interactions since the introduction of the pandemic. Food delivery services have expanded significantly in recent years. These services link customers with restaurants using the internet, enabling quick delivery of mobile meals. But as these businesses grow, dealing with problems like fra...

People suffering from chronic diseases require continuous support in monitoring their nutrition, diagnostic tests, medication, and daily activity tracking. Given the low ratio of patients to healthcare providers, it becomes infeasible to provide one-to-one support to patients. Furthermore the existing online medical consultation platforms are costl...

Face recognition is an essential feature required for a range of computer vision applications such as security, attendance systems, emotion detection, airport check‐in, and many others. The super‐resolution of subject images is an important and challenging element in numerous scenarios. At times the images are low resolution and need to be processe...

The field of autonomous driving research has made significant strides towards achieving full automation, endowing vehicles with self-awareness and independent decision-making. However, integrating automation into vehicular operations presents formidable challenges, especially as these vehicles must seamlessly navigate public roads alongside other c...

Digital twins and Metaverse have independent applications across several industries, such as manufacturing, art, construction, healthcare, transportation, automotive, and aerospace, but they can be seamlessly integrated, thanks to their mutually supportive and complementary features, enabling several highly improvised applications. For the first ti...

Metaverse and Digital Twins(DT) are rapidly advancing technologies with various independent applications in multiple fields, such as manufacturing, transportation, and consumer electronics. Their combination can be employed for achieving several applications in the consumer healthcare industry. To the best of our knowledge, the effect of the amalga...

The field of cognitive computing, conversational AI has witnessed remarkable progress, largely driven by the development of the Generative Pre-trained Transformer (GPT) series, notably ChatGPT. These transformer-based models have revolutionized natural language understanding by effectively capturing context and long-range dependencies. In light of...

Traditional medical prescriptions based on physical paper-based documents are prone to manipulation, errors, and unauthorized reproduction due to their format. Addressing the limitations of the traditional prescription system, e-prescription systems have been introduced in several countries. However, e-prescription systems lead to several concerns...

Generative artificial intelligence (GAI) can be broadly described as an artificial intelligence system capable of generating images, text, and other media types with human prompts. GAI models like ChatGPT, DALL-E, and Bard have recently caught the attention of industry and academia equally. GAI applications span various industries like art, gaming,...

Several recent research papers in the Internet of Medical Things (IoMT) domain employ machine learning techniques to detect data patterns and trends, identify anomalies, predict and prevent adverse events, and develop personalized patient treatment plans. Despite the potential of machine learning techniques in IoMT to revolutionize healthcare, seve...

Generative Artificial Intelligence (GAI) has sparked a transformative wave across various domains, including machine learning, healthcare, business, and entertainment, owing to its remarkable ability to generate lifelike data. This comprehensive survey offers a meticulous examination of the privacy and security challenges inherent to GAI. It provid...

This research paper intends to provide real-life applications of Generative AI (GAI) in the cybersecurity domain. The frequency, sophistication and impact of cyber threats have continued to rise in today’s world. This ever-evolving threat landscape poses challenges for organizations and security professionals who continue looking for better solutio...

Generative Artificial Intelligence(GAI) models such as ChatGPT , DALL-E , and the recently introduced Gemini have attracted considerable interest in both business and academia because of their capacity to produce material in response to human inputs. Cognitive computing is a broader field of machine learning that encompasses GAI, which partic...

In the contemporary era of scientific and technical innovations, we are witnessing remarkable progress in the realm of quantum computing. Today’s phase is referred to as the second quantum revolution, characterized by ongoing research and progress in the hardware, software, and applications of quantum computers. While the theoretical foundations of...

This study delves into the burgeoning domain of Generative Artificial Intelligence (GAI) within the context of Industry 5.0 (I-5.0), highlighting the pivotal role of advanced GAI models such as ChatGPT and DALL-E in transforming manufacturing and industrial processes. The paper scrutinizes the multifaceted use-cases of GAI, emphasizing its instrume...

Machine Learning has evolved significantly over the last decade, with models capable of robust and accurate predictions over data of various categories. The impact is rather big in the field of Healthcare. However, deployment of small, energy-efficient models remains a goal pursued by researchers across the field. Futhermore, the model inferences a...

As the Metaverse promises to revolutionize human interaction and digital life, the role of edge computing emerges as a critical enabler. This paper presents a comprehensive survey of edge-enabled Metaverse applications, technological innovations, challenges, solutions, and future trajectories within the industry. We dissect the landscape of Metaver...

Integrating cutting-edge communication technology with vehicular advancement has led to Vehicular Ad-Hoc Networks (VANETs). VANET architecture facilitates the exchange of vital safety-related messages among vehicles. However, ensuring the authentication and integrity of shared messages over wireless links poses challenges. To resolve the issues, va...

Artificial Intelligence (AI) has immense potential for personalized learning experiences, content generation, and vivid educational support. This paper delves into generative AI (GAI) and its potential applications within GAI, specifically mentioning generative adversarial networks (GANs). The article delves into the transformative impact of GAI in...

This survey delves into the convergence of blockchain, Web 3.0 technologies, and the decentralized metaverse, analyzing their combined effects on virtual experiences. The study meticulously examines the decentralized metaverse’s architecture, intrinsic properties, and transformative potential. Central to our analysis is the role of blockchain techn...

The traditional landscape of vehicle lifecycle management systems has several issues, including widespread fraud, opaque processes, and limited accessibility. As a result, there is a need for a paradigm change toward modernized vehicle management techniques, which is connected with the emergence of Intelligent Transport Systems (ITS). This work is...

Generative AI (GAI) has garnered significant attention recently with the upsurge of ChatGPT and similar models. Research has shown that GAI technology has significantly contributed to several domains like healthcare, cybersecurity, industry 4.0, gaming, etc. GAI technology is also vital in vehicular networks and intelligent transportation systems....

The Cosmos blockchain is a decentralized network of independent blockchains that addresses scalability and interoperability difficulties in blockchain architecture. Through the use of the Tendermint consensus mechanism and the Inter-Blockchain Communication (IBC) protocol, the Cosmos blockchain enables transactions that are both safe and smooth acr...

Digital Twins, sophisticated digital replicas of physical entities, have been gaining significant attention, especially after NASA's endorsement, and are poised to revolutionize numerous fields such as medicine and construction. These advanced models offer dynamic, real-time simulations, leveraging enabling technologies like Artificial Intelligence...

Image hazing poses a significant challenge in various computer vision applications, degrading the visual quality and reducing the perceptual clarity of captured scenes. The proposed AGD-Net utilizes a U-Net style architecture with an Attention-Guided Dense Inception encoder-decoder framework. Unlike existing methods that heavily rely on synthetic d...

The rapidly developing discipline of quantum computing (QC) employs ideas from quantum physics to improve the performance of traditional computers and other devices. Because of the dramatically improved speed at which it processes data, it can be applied to various issues. QC has many potential applications, but three of the most exciting applicati...

The modern world has its foundation built on data. Data is generated all the time, and many aspects of the society and economy are built upon it. In today's world, data is employed in better decision‐making, innovation, and improving the efficiency of systems. It becomes essential to protect it from being tampered with or misused. Encryptions based...

ML applications proliferate across various sectors. Large internet firms employ ML to train intelligent models using vast datasets, including sensitive user information. However, new regulations like GDPR require data removal by businesses. Deleting data from ML models is more complex than databases. Machine Un-learning (MUL), an emerging field, ga...

The evolution of quantum computers is considered a serious threat to public‐key cryptosystems (e.g. RSA, ECDSA, ECDH, etc.). This is indeed a big concern for security of the Internet and other data communication and storage systems. The reason is that public‐key schemes are the basis in the generation of shared symmetric keys that are used to perfo...

The evolution of quantum computing is a serious threat to the currently-used public-key cryptosystems (e.g., RSA, ECDSA, ECDH, etc.). They have been shown to be insecure in post-quantum era. This is indeed a big concern since public-key schemes are basis in the generation of shared symmetric keys used for data encryption/decryption. One possible ap...

Complex vehicular applications, such as automatic driving and augmented reality are delay sensitive and require massive computational resources. Despite being more connected and smarter, vehicles still cannot appropriately meet the demands of these applications. By allowing neighboring vehicles and edge servers coupled to base stations to share the...

In recent years, significant research has occurred on developing various protocols for communication within an autonomous vehicle. Due to the simplicity and trustworthiness of a Controller Area Network (CAN) bus, it has become trendy and widely employed for in-vehicle communication. However, research indicates numerous network-level threats are pos...

Recent years have seen a tremendous growth in Artificial Intelligence (AI)-based methodological development in a broad range of domains. In this rapidly evolving field, large number of methods are being reported using machine learning (ML) and Deep Learning (DL) models. Majority of these models are inherently complex and lacks explanations of the d...