Priya Ranjan

• Ph.D.
• Professor (Full) at School of Computer Science, ENERGY ACRES, University of Petroleum and Energy

Cardiovascular diseases (CVD) are a predominant health concern globally, emphasizing the need for advanced diagnostic techniques. In our research, we present an avant-garde methodology that synergistically integrates ECG readings and retinal fundus images to facilitate the early disease tagging as well as triaging of the CVDs in the order of diseas...

Cardiovascular diseases (CVD) are a predominant health concern globally, emphasizing the need for advanced diagnostic techniques. In our research, we present an avant-garde methodology that synergistically integrates ECG readings and retinal fundus images to facilitate the early disease tagging as well as triaging of the CVDs in the order of diseas...

Classifying 3D MRI images for early detection of Alzheimer's disease is a critical task in medical imaging. Traditional approaches using Convolutional Neural Networks (CNNs) and Transformers face significant challenges in this domain. CNNs, while effective in capturing local spatial features, struggle with long-range dependencies and often require...

The COVID-19 pandemic has highlighted the importance of accurately predicting disease severity to ensure timely intervention and effective allocation of healthcare resources, which can ultimately improve patient outcomes. This study aims to develop an efficient machine learning (ML) model based on patient demographic and clinical data. It utilizes...

Background Evidence suggests that hypothyroidism may be associated with an increased risk of acute coronary syndrome (ACS). The data regarding the influence of hypothyroidism on cardiovascular disease in the Asian population is conflicting. Therefore, we undertook this study to assess the overall prevalence of hypothyroidism in Acute Coronary Syndr...

Diabetes Mellitus, one of the leading causes of death worldwide, has no cure to date and can lead to severe health complications, such as retinopathy, limb amputation, cardiovascular diseases, and neuronal disease, if left untreated. Consequently, it becomes crucial to be able to monitor and predict the incidence of diabetes. Machine learning appro...

Nowadays, multimedia content, such as photographs and movies, is ingrained in every aspect of human lives and has become a vital component of their entertainment. Multimedia content, such as videos or movie clips, is typically created with the intent to evoke certain feelings or emotions in viewers. Thus, by examining the viewer’s cognitive state w...

Drone inspection is becoming quite common in condition monitoring of built infrastructure such as bridges. For the repair of defects identified from such inspection use of Engineered Cementitious Composites (ECC), also known as Strain-Hardening Cementitious Composites (SHCC), a class of advanced fibre-reinforced cement-based materials with ductile...

Certificate of my Participation in the Swadhyaya Sahachakra Webinar "Towards a New Yoga and Tantra of Development", organised by the Vishwaneedam Center for Asian Blossoming on June 21, 2023.

Exosomal microRNA (ExomiRs) serves as potential cargo molecules responsible for post-translation of gene expression and intracellular communication playing a vital role in acting as clinically relevant prognostic biomarkers for identifying pregnancy-associated complications in patients. ExomiRs are associated with Gestational Diabetes Mellitus (GDM...

Mammography is an inexpensive and noninvasive imaging tool that is commonly used in detection of breast lesions. However, manual analysis of a mammogramic image can be both time intensive and prone to unwanted error. In recent times, there has been a lot of interest in using computer-aided techniques to classify medical images. The current study ex...

Breast carcinoma, the most common cancer in women across the world now accounts for almost of new malignant tumor cases. Despite the high incidence rate, breast cancer mortality has been maintained under control thanks to recent advances in molecular biology technology and an enhanced level of complete diagnosis and standard therapy. The method str...

Infectious diseases are a group of medical conditions caused by infectious agents such as parasites, bacteria, viruses, or fungus. Patients who are undiagnosed may unwittingly spread the disease to others. Because of the transmission of these agents, epidemics, if not pandemics, are possible. Early detection can help to prevent the spread of an out...

Diabetes Mellitus, one of the leading causes of death worldwide, has no cure till date and can lead to severe health complications, such as retinopathy, limb amputation, cardiovascular diseases, and neuronal disease, if left untreated. Consequently, it becomes crucial to take precautionary measures to avoid/predict the occurrence of diabetes. Machi...

Ours is the era of cardiovascular disorders. In this work, a corpus of ECGs collected in the state of Jammu and Kashmir is studied for automated perceptual similarity-based disease tagging. Following on our earlier work, we have deployed Earth Mover’s distance (EMD) as the similarity metric to generate automated disease tags. Rationale for generati...

Ours is the era of cardiovascular disorders. In this work, a corpus of ECGs collected in the state of Jammu and Kashmir is studied for automated perceptual similarity-based disease tagging. Following on our earlier work, we have deployed Earth Mover’s distance (EMD) as the similarity metric to generate automated disease tags. Rationale for generati...

This work describes preliminary steps in the ongoing implementation of horizontal visibility graphs (HVG) and related Hamming-Ipsen-Mikhailov (HIM) network similarity (distance) metric to provide automatic disease tag for normal and COVID-positive chest radiographs. A detailed exploration in transformation of a normal or COVID positive chest radiog...

Introduction: Cervical cancer is the primary cause of cancer death among women in developing countries. It being easily preventable, there is a need to develop new screening modalities which would allow for more rapid, cost-effective and sensitive cervical cancer diagnosis and treatment. Aim: Early detection of cervical cancer using screening modal...

Exosomes are extracellular vesicles produced by various cell types and extensively distributed in physiological fluids. Because of their significant role in cancer progression, they have been a focal point for the novel cancer therapy approach. Exosomes are highly efficient at transporting proteins, RNAs, and small drugs into cancer cells for thera...

Cervical cancer is a major public health challenge that can be cured with early diagnosis and timely treatment. This challenge formed the rationale behind our design and development of an intelligent and robust image analysis and diagnostic tool/scale, namely “OM—The OncoMeter”, for which we used R (version-3.6.3) and Linux (Ubuntu-20.04) to tag an...

The explosion of multimedia content over the past years is not surprising, thus their efficient management and analysis methods are always in demand. The affectiveness of any multimedia content deals with analyzing human perception and cognition while watching it. Human attention is also one of the important parameters, as it describes the engageme...

This book shows how data analytics, IoTs, AI and Cloud Computing platforms are being used to ingest, analyse and correlate a myriad of big data across the entire network stack in order to increase Quality of service/Quality of Experience (QoS/QoE) and improve network performance. We plan to cover Big Data and AI analytical techniques for handling t...

Background: Cervical cancer remains a major public health challenge in low and middle-income countries including India. However, if detected early, it is preventable and curable. Objective: The present study aimed to ascertain the sociodemographic and clinical profile of cervical cancer patients visiting a tertiary cancer center. Methodology: A ret...

Background: Thyroid disorders have an important bearing on the cardiovascular (CV) system leading to hypertension, dyslipidemia, heart rhythm disorders, obesity etc. Data regarding the influence of subclinical hypothyroidism and CV disease and outcomes have been conflicting. Since subclinical hypothyroidism is seen often in clinical syndromes of co...

Abstract: Background: Cervical cancer remains a major public health challenge in low and middle-income countries including India. However, if detected early, it is preventable and curable. Objective: The present study aimed to ascertain the sociodemographic and clinical profile of cervical cancer patients visiting a tertiary cancer center. Methodol...

Over the past years, a digital multimedia uprising has been experienced in every walk of life, due to which the un-annotated or unstructured multimedia content has always been a key issue for research. The multimedia content is usually created with some intended emotions, which the creator wants to induce in viewers. The affectiveness of the multim...

The convergence of the Covid-19 Pandemic with the ensuing epidemic of Non-Communicable Diseases has significantly contributed to increased morbidity and mortality in Low- and Middle-Income Countries (LMICs) such as the Indian sub-continent. This coupled with the existence of resource-limited Healthcare Infrastructure in India has made the COVID-19...

Early computer diagnosis is necessary for the quantitative analysis in computer vision-based cancer image analysis, which requires segmentation as an essential stage. Due to the shape, size, and location of pancreas in abdominal Computed Tomography (CT) images, the segmentation process of these CT images is considered a cumbersome task. Besides, va...

Brain computer interface (BCI) is the current trend in technology expansion as it provides an easy interface between human brain and machine. The demand for BCI based applications is growing tremendously and efforts are in progress to deploy BCI devices for real world applications. One of the widely known applications of BCI technology is rehabilit...

This work presents a geometric study of computational disease tagging of ECGs problems. Using ideas like Earthmover’s distance (EMD) and Euclidean distance, it clusters category 1 and category \(-1\) ECGs in two clusters, computes their average and then predicts the category of 100 test ECGs, if they belong to category 1 or category \(-1\). We repo...

There is considerable association of thyroid function and the cardiovascular system during various acute systemic illnesses. It is well established that the normal thyroid homeostasis is known to alter in disease states including the acute coronary syndromes (ACS). Abnormal thyroid hormonal status has been shown to be related to worse outcomes and...

Background: In common with many countries globally, India has a history of graphic health warnings (GHWs) being weakened or delayed due to tobacco industry influence. If tobacco iseliminated from society, nearly 30% of all cancers can be prevented. Objectives: This study examines the role of the media in the recent changes to the 85% GHWs implement...

Introduction This paper introduces novel and reliable approach for speech impaired people to assist them to communicate effectively in real time. A deep learning technique named as convolution neural network is used as its classifier. With the help of this algorithm, words are recognized from an input which is a visual speech, disregards with its a...

This paper presents, a thorough evaluation of popular deep learning models to analyze and classify electroencephalogram (EEG) data for characterizing human affective states for video content tagging and retrieval. We use two pre-trained convolutional neural network (CNN) models AlexNet and GoogLeNet, and a Long Short Term Memory (LSTM) model to cla...

The surface tension of blood plays an important role not only in the birth and decompression sickness but also in other functionality of the organism. It also provides capillary action during blood flow process. In this article, a simple and low-cost device is designed and fabricated for measuring the surface tension of blood by pendant drop method...

The world of networks inherently being complex, is a primitive based on graphs. It uses adjacency matrix for abstracting the topology of underlying expanse. This structure of graphs, single-handedly decides the entries of the adjacency matrix, and thus, the overall topology of the system being described. In this research, we open new horizons at th...

Wireless sensor networks are useful in various industrial, commercial, Internet of Things (IoT), Internet of Everything (IoE) and many important tracking purpose applications. Energy is a limited and not replaceable. Hence it is the most focused research area in the field of wireless sensor networks. In this paper, Cluster Based Energy Resource Eff...

The modern wireless mobile network architectures are diverse and complex and face huge capacity demands. With increase in demand, monitoring and management of the multitude of network components has become intractable. To meet the end-user requirements, Internet Service Providers (ISPs) are developing intelligent heterogeneous designs and approache...

A compact multiband diamond-shaped fractal bow-tie terahertz antenna is designed on FR4_epoxy substrate with permittivity 4.4. The dimension of substrate is 4 × 6 × 1.5 mm3. Multi-bands are obtained in S11 versus frequency plots. The effects of creating defects in the ground plane of the antenna were studied and analyzed to get the optimized perfor...

The computer vision field deals with the problem of understanding the scene or features in images of real world with the help of image processing and pattern recognition techniques. The main complication in this task is that the objects present in the images may have different appearances to the camera due to illumination effects, camera position,...

Image segmentation is a complex and essential task used in many computer vision applications. The problem of image segmentation can essentially be formulated as a grouping problem which in its simplest form tries to group the pixels of image into distinguished regions of interest so that further processing of the extracted regions can be achieved....

Introduction: A key feature of the 'One Health' concept pertains to the design of novel point of care systems for largescale screening of health of the population residing in resource-limited areas of low- and middle-income countries with a view to obtaining data at a community level as a rationale to achieve better public health outcomes. The phys...

Cervical cancer is one of the most common cancer among women world-wide which can be cured if detected early. The current gold standard for cervical cancer diagnosis is clumsy and time consuming because it relies heavily on the subjective knowledge of the medical professionals which often results in false negatives and false positives. To reduce ti...

Action on any objects provides perceptual information about the environment. There is substantial evidence that human visual system responds to action possibilities in an image as perceiving any one’s action stimulates human motor system. However very limited studies have been done to analyze the effect of object affordance during action perception...

The original version of the chapter “Analysis of Action Oriented Effects on Perceptual Process of Object Recognition Using Physiological Responses”, starting on p. 46 has been revised. The affiliations were mismatched to the author names in the XML version. The original article was corrected.

Abstract Automated analysis of cervical cancer images is considered as an attractive research in the biological fields. Due to the intensive advances in the digital technology and the light microscopy, the cellular imaging requires the continuous growing importance. Sophisticated methods are adopted to isolate the nuclei from the cytoplasm based on...

Brain computer interface is the current area of research to provide assistance to disabled persons. To cope up with the growing needs of BCI applications, this paper presents an automated classification scheme for handgrip actions on objects by using Electroencephalography (EEG) data. The presented approach focuses on investigation of classifying c...

Stenosis means narrowing arteries. This abnormality in arteries is perturb the flow field. In this work, the flow pattern in the various shape of stenosed artery (50–90% cross-section area reduction) are reported. An in-house CFD solver is used for simulation of blood flow. The code is validated. Post-validation, velocity and pressure contours repo...

Background: Wireless Sensor Networks (WSNs) have become an important part in recent years with a wide range of applications from low traffic to high traffic applications (e.g. Multimedia, VoIP, IOT, IOE). These applications require collection and transmission of the high amount of data in a timely manner. In WSNs, sensors are randomly deployed in a...

— Power theft is one of the major concerns of many developing countries including India. The state of Jammu and Kashmir is one of the worst affected states of India, having about 50% of transmission and distribution losses. The proposed work is an attempt to stop the losses by preventing the power theft, using encoding and decoding techniques of th...

Wireless sensor networks are useful in various industrial, commercial, Internet of Things (IoT), Internet of Everything (IoE) and many important tracking purpose applications. Energy is a limited and not replaceable. Hence it is the most focused research area in the field of wireless sensor networks. In this paper, Cluster Based Energy Resource Eff...

This study calculates the rheological disease factor from stain patterns of blood microfluidic drop samples of patients. The work explores programmed recognition of infection from the specimen of dried miniaturized scale drop blood stains from a patient’s pathological examination. In this novel pathological examination proposed in this study less t...