KDV PRASAD
@sibmhyd.edu.in
Professor (Reserch)
Symbiosis Institute of Business Management, Hyderabad
Professor KDV Prasad, works as a Faculty of Research in Symbiosis Institute of Business Management, Hyderabad; Symbiosis International (Deemed University), Pune, India. Professor Prasad holds Masters in Computer Applications and Masters in Software Systems from BITS, Pilani; MBA (Human Resources), IGNOU, New Delhi.. Professor Prasad Possess PhD in Business Management (Kanpur University); and PhD in Business Administration (RTM Nagpur University. He is AIMA certified Management Teacher, Fellow, World HR Board, Carlton Advanced Management Institute, USA. Professor Prasad Published over 200 articles in scopu/WOS indexed journals, and 3 books.
RESEARCH, TEACHING, or OTHER INTERESTS
Business, Management and Accounting, General Business, Management and Accounting, Arts and Humanities, Management Science and Operations Research
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Neha Biju, Nasser Said Gomaa Abdelrasheed, Khilola Bakiyeva, K. D. V. Prasad, and Biruk Jember
Springer Science and Business Media LLC
K. D. V. Prasad and Tanmoy De
Springer Science and Business Media LLC
Manju Meenakshy, K. D. V. Prasad, Kartikeya Bolar, and Chitta Shyamsunder
Springer Science and Business Media LLC
K. D. V. Prasad, Sripathi Kalavakolanu, Tanmoy De, and V. K. Satyaprasad
Springer Science and Business Media LLC
AbstractMoonlighting as a practice, the limelight was gained during the COVID-19 pandemic due to remote work involving flexible work, which saved employees’ commuting time to the office and has become a potential source of income for individuals seeking other jobs. The authors examined the phenomenon of moonlighting by assessing the relationships between job satisfaction, organizational commitment, and moonlighting intentions. The authors also examined the mediating effects of employee organizational commitment and economic intentions and the moderating role of human resource practices on the relationship between job satisfaction and moonlighting intentions. The data were gathered for five reflective constructs of this empirical study—job satisfaction, organizational commitment, human resources practices, economic intentions, and moonlighting intentions—by surveying IT-enabled industry employees in Hyderabad. The data from 311 valid responses were subjected to structural equation modeling analysis using IBM AMOS version 28. The model-fit indices from SEM analysis indicate excellent model fit. The structural model from SEM analysis reveals that 50% of the variance in moonlighting is accounted for by job satisfaction and organizational commitment. The factor of job satisfaction is statistically significant and influences the moonlighting intentions of employees in IT-enabled industries. Job satisfaction has a positive impact on organizational commitment, and when organizational commitment increases, moonlighting intentions decrease. Organizational commitment partially mediates moonlighting intentions through job satisfaction. The study also assessed the moderating role of human resource practices on the relationship between job satisfaction and moonlighting intentions. The moderation analysis results reveal statistically significant and positive moderating effects of human resource practices on intentions to moonlight through job satisfaction. The slope analysis indicated that human resource practices strengthen the positive relationship between job satisfaction and moonlighting.
R. Thiyagarajan, N. Nagabhooshanam, K.D.V. Prasad, and P. Poojitha
Wiley
SummaryEnsuring data integrity in wireless sensor networks (WSNs) is crucial for accurate monitoring, yet missing data due to sensor faults present a significant challenge. This research introduces an innovative approach that integrates advanced data recovery techniques with leading‐edge methods to address this issue. The system begins by identifying and isolating fault nodes using a specialized algorithm that analyzes network behavior. By applying fuzzy density‐based spatial clustering of applications with noise (FDBSCAN), potential fault nodes are precisely located based on deviations from expected patterns. Subsequently, an intelligent missing data recovery mechanism powered by bidirectional long short‐term memory (Bi‐LSTM) networks takes action. The Bi‐LSTM model is trained on existing sensor data to capture intricate patterns and dependencies, enabling accurate prediction and reconstruction of missing values caused by identified faults. The synergy between Bi‐LSTM for missing data recovery and FDBSCAN for fault node detection comprehensively addresses the missing data problem in WSNs. In missing data recovery, it demonstrates low mean absolute deviation (MAD) ranging from 0.021 to 0.13 and mean squared deviation (MSD) ranging from 0.0025 to 0.05 across various missing data ratios. Data reliability remains consistently high at 96% to 98%, even with up to 80% missing data. For fault node detection, the approach achieves precision of 95.7%, recall of 96.3%, F1‐score of 96.1%, and accuracy of 97.4%, outperforming existing techniques. The computational cost during training is noted at 5.79 h, presenting a limitation compared to other methods. This research highlights the importance of integrating fault node detection into missing data recovery mechanisms, presenting an innovative solution for the advancement of WSNs.
Shatha Ghazi Felemban, Farag M.A. Altalbawy, Irfan Ahmad, Abhinav Kumar, Carlos Rodriguez-Benites, Ahmed Hjazi, K.D.V. Prasad, Anaheed Hussein Kareem, Ahmed Hussein Zwamel, and Shahin Ramazi
Elsevier BV
Bhawani Sankar Panigrahi, Nagabhooshanam Nagarajan, Kanaka Durga Veera Prasad, Sathya, Satish Sampatrao Salunkhe, Pilli. Dharmendra Kumar, and Muthevi Anil Kumar
Springer Science and Business Media LLC
Prasad Kdv, Chitta Shyamsunder Shyamsunder, and Hariprasad Soni
QUBAHAN
This study examines how the availability of green finance influences the purchasing intentions of Generation Z and Millennials, with consciousness as a moderating factor. A structured questionnaire was deployed to collect the data to measure five reflective constructs: purchase intention, Gen Z and Millennials’ green finance, environmental consciousness, future consciousness and status consciousness. The valid responses of 500 participants working at various levels in the information technology industry were subjected to normality tests, factor analysis, and structural equation modeling analysis. The data were normally distributed (Shapiro‒Wilk statistic p>0.05), and the survey instrument maintained internal consistency and reliability, as revealed by the Cronbach’s alpha values (>0.70). The structural equation modeling results revealed an excellent model fit, and the Gen Z and Millennials’ financial availability, future consciousness and status consciousness constructs were statistically significant and impacted the purchasing intentions of Gen Z and Millennials. Slope analysis reveals that consciousness is statistically significant and moderates the relationship between Gen Z and Millennial financing availability and purchase intentions. Consciousness strengthens the positive relationship between Gen Z and millennial finance availability and purchase intentions. The article reports novel findings that affect the purchase intentions of customers regarding the availability of green financing to Generation Z and Millennials. This is a new empirical study in which Generation Z and Millennials. This empirical study highlighted the environmental, social and managerial implications for green finance providers. Green finance opportunities need to be provided to Gen Z and Millennials so that they can make a habit of engaging in green finance practices. This will promote environmental protection, increase greener consumption options, and ensure social equity and sustainable economic development. If the green financing opportunities promoted to Gen Z and Millennials, more businesses can opt for greener options, greener products and greener marketing.
Javad Zareei, K.D.V. Prasad, A.K. Kareem, Subhash Chandra, Navruzbek Shavkatov, Carlos Rodriguez-Benites, John William Grimaldo Guerrero, Nouby M. Ghazaly, and Elvir Munirovich Akhmetshin
Elsevier BV
Davood Ghorbanzadeh, Ahmad Qasim Mohammad AlHamad, Kuicthok Yak Deng, Ahmed Alaa Hani Alkurdi, K. D. V. Prasad, and Mohsen Sharbatiyan
Springer Science and Business Media LLC
V. Dankan Gowda, S. K. Heena Kauser, Nazeer Shaik, K. D. V. Prasad, and Ravindra Bhardwaj
IGI Global
In Industry 5.0 a number of technological developments are seen to support human-machine collaboration. This evolution is central to the inclusion of drones, which are increasingly becoming irreplaceable resources in multiple industrial fields. The ability to communicate well and securely is vital for them. This chapter explores the revolutionary frameworks that utilize the power of blockchain technology to improve drone communication in the scope of Industry 5.0 applications. By investigating the operational structure of blockchain, its built-in security provisions and how it effectively fits with drone networks, a thorough comprehension of its underlying influence in drone communications is developed. Real-world examples and case studies also help to illuminate the practicalities and advantages of these frameworks, taking a look at how interconnected aerial systems in Industry 5.0 will evolve from here on out.
V. Dankan Gowda, Madan Mohanrao Jagtap, Manoj Tarambale, V. K. Satya Prasad, and K. D. V. Prasad
IGI Global
A basic change can be noticed in various industries, especially in the construction sector, since we are moving from Industry 4.0 to Industry 5.0. The integration and implementation process of drone technology has resulted in unparalleled progressions with an array of opportunities for higher proficiency, security, and creativity when it comes to construction practices. In this chapter, the influence of drones on transforming the ordinary shape of construction is discussed mainly in terms of their role under Industry 5.0. The future pathway of drone technology in construction during this new industrial age is presented through a consideration of technological advancements and challenges related to integration.
V. Dankan Gowda, Madan Mohanrao Jagtap, Manoj Tarambale, K. D. V. Prasad, and Vijay Rayar
IGI Global
The Industry 5.0 revolution emerges as an amalgamation of advanced technological systems with human touch onset. In this transformative time, drone technologies have become essential pieces for varied uses and their detection poses a reliable identification. Several challenges that arise when implementing YOLO-based models for drone detection are thoroughly analyzed in this chapter. It clarifies the advanced innovations that got introduced to address these challenges making effective drone detection in the framework of Industry 5.0. By studying practical cases, innovations in deep learning and YOLO models' adaptability, the chapter provides an overview of the present situation and potential future for drone detection as we move into a new stage of industrial progress.
Abdelwahab Said Hassan, Anuradha Thakare, Manisha Bhende, K.D.V. Prasad, Pavitar Parkash Singh, and Haewon Byeon
Elsevier BV
Davood Ghorbanzadeh, K. D. V. Prasad, Natalia Alekseevna Prodanova, Iskandar Muda, Joko Suryono, and Nafisa Yuldasheva
Springer Science and Business Media LLC
Dankan Gowda V., Anjali Sandeep Gaikwad, Aparna Atul Junnarkar, K. D. V. Prasad, and Sofia Rani Shaik
IGI Global
In a landscape of technology that is changing at breakneck speed, the combination of the internet of things (IoT) with robotics represents an important step toward future automation and intelligent systems. In this chapter, the authors explain how such an integration will change things. This combination of IoT's connected devices and robotic dynamism brings unprecedented progress in many areas, such as industrial automation and healthcare. After cutting through the technical jumble and coming to terms with plausible applications, problems, and opportunities afforded by this match, readers will have a clear understanding of what this revolutionary field has today, as well as its promise for tomorrow.
Dankan Gowda V., Kirti Rahul Kadam, Nazeer Shaik, K. D. V. Prasad, and Sofia Rani Shaik
IGI Global
In the face of the development of robotic technology, integration with cloud technologies is a big opportunity to greatly improve robots. This chapter will synthetize the spirit which robotic applications lacks to refine and add depth to it. Also, this procedure not only gives the robotic device more computing power, but also ups its storage capacities and resource management, all without rendering robotical atrophy. In this chapter, the authors examine several different forms of application running away from home. In particular, with the growing public interest in robotics, it is vital that not only participants from industry but also researchers and developers who should realize that through cloud-based offloading they really have a chance to create a revolution.
V. Dankan Gowda, Y. N. Sunitha, Sadashiva V. Chakrasali, K. D. V. Prasad, Parismita Sarma, and Mirzanur Rahman
Taru Publications
Accurate diagnosis and well-informed treatment choices are only possible with the help of sophisticated medical imaging technology. The introduction of digital imaging methods has led to a dramatic rise in the volume of data associated with medical images, which in turn has led to difficulties in their storage, transmission, and administration. It is crucial to utilize effective image compression techniques to address these challenges without compromising the diagnostic integrity of the pictures. The wavelet transform has matured into a potent method for striking a good compromise between picture quality and file size reduction while compressing. The safe and efficient transfer of medical image data is a major concern in today’s healthcare settings. In this academic investigation, we investigate how wavelet transform-based techniques may be used to enhance medical picture compression. The proposed techniques optimize compression ratios while maintaining diagnostic picture quality by making use of the wavelet transform’s multi-resolution and frequency localization features. To address the unique challenges given by medical image collections, various iterations of the wavelet transform and compression techniques are investigated. Through a series of detailed tests involving several medical picture modalities, the effectiveness of these technologies is thoroughly evaluated, demonstrating their effectiveness in achieving significant data reduction without sacrificing clinical information.
V. Dankan Gowda, Pratik Gite, Mirzanur Rahman, Kirti Rahul Kadam, G. Manivasagam, and K. D. V. Prasad
Taru Publications
Biometric systems have taken the front seat as having core foundations in 21stcentury digital information technology, biometric systems hold a position therein or authentication processes. But the growing complexity of cyber threats requires greater security practices. This paper presents an innovative biometric security approach based on the combination of ECC and more advanced session keys. The goal is to strengthen biometric systems against sophisticated cyber threats ensuring fast and effective authentication methods. The proposed approach takes advantage of ECC’s strength in generating secure biometric data along with session keys dynamically to build a more resilient, yet flexible, security model. It is shown on the simulations that security metrics increase significantly in terms of resistance to common cryptographic attacks and data breaches without decreasing the system performance. This study describes not only the current vulnerabilities in biometric security systems towards more secure and reliable authentication systems by the convergence of biometric data to advanced cryptographic techniques.
V. Dankan Gowda, Sajja Suneel, Mirzanur Rahman, Gobinda Chandra Das, R. Senthil Kumar, and K. D. V. Prasad
Taru Publications
In the digital era, authentication system’s security is crucial. This paper discusses the issue of improving digital authentication from the position of cryptographic improvements in intrinsic verification structures. The emphasis is made on creation and implementation of efficient cryptographic protocols that reinforce security in digital authentication procedures. This research focuses on developing a new cryptographic framework that is capable of improving the attack tolerance of intrinsic verification systems against various kinds of cyber-attacks such as identity theft and data breach. This structure takes advantage of innovative cryptographic algorithms, including quantum-resistant techniques that secure authentication records containing sensitive information. The Author conducts further feasibility study of these innovations that can be applied in practical settings, quantifying the success or failure through simulations. The outcomes evidenced significant security features improvements, indicating that such cryptographic developments have the potential to revolutionize digital authentication. This study is not only coming up with the solution, Prescence to current security challenges but also has shown path for development of secure digital authentication system in an interconnected world.
Chou‐Yi Hsu, Abdullah Ali Alzahrani, Hatem Ghaleb Maabreh, K. D. V. Prasad, Dmitry O. Bokov, Anaheed Hussein Kareem, Ahmed Alawadi, Ali Ihsan, Maha Noori Shakir, and Mohammed Qasim Alasheqi
Wiley
AbstractFindings on the effect of walnut consumption on endothelial function are conflicting. Therefore, the present systematic review and meta‐analysis summarized available trials in this regard. A systematic search was performed in online databases including PubMed‐Medline, Scopus, and ISI Web of Science up to October 2023. Articles that reported the effect of walnut intake on flow‐mediated dilation (FMD), intercellular adhesion molecule‐1 (ICAM‐1), vascular cell adhesion molecule‐1 (VCAM‐1), and stimulus‐adjusted response measure (SARM) were included. Random effects models for a weighted mean difference (WMD) or standardized mean difference (SMD) were used to test for the overall effect. Six eligible trials were analyzed (250 participants). Walnut intake significantly increased FMD (WMD: 0.94%, 95% CI: 0.12 to 1.75; p = 0.02). However, meta‐analysis could not show any beneficial effect of walnut intake on ICAM‐1 (SMD: −0.23, 95% CI: −0.68 to 0.22; p = 0.31), VCAM‐1 (SMD: −0.02, 95% CI: −1.38 to 1.34; p = 0.97), and SARM (WMD: 0.01%, 95% CI: −0.01 to 0.04; p = 0.28). In conclusion, the present meta‐analysis suggests that walnuts may reduce cardiovascular disease risk by improving FMD. However, further studies should be performed on adults to determine the effect of walnut intake on endothelial function.
V. Mahalakshmi, Mukta Sandhu, Mohammad Shabaz, Ismail Keshta, K.D.V. Prasad, Nargiza Kuzieva, Haewon Byeon, and Mukesh Soni
Elsevier BV
G. U. Vasanthakumar, V. Dankan Gowda, Prabhakar S. Manage, K. D. V. Prasad, and Venkatesan Hariram
IGI Global
The extensive use of clinical decision support systems (CDSS) and electronic health records (EHR) has significantly altered the landscape of healthcare. Medical professionals now have access to priceless tools that transform patient data management and help them make wise clinical judgments. However, as we seamlessly incorporate artificial intelligence (AI) solutions into EHR and CDSS, a new era of healthcare is beginning. The incorporation of AI technologies is thoroughly explored in this chapter, shedding light on how they might improve clinical operations and patient outcomes. The chapter opens by emphasizing the crucial role played by EHR in centralizing medical records, digitizing patient data, and enabling effective data sharing between healthcare providers. The chapter conducts an in-depth exploration of how machine learning algorithms are applied to unearth patterns in patient data, identify disease risks, and provide personalized treatment recommendations.
RECENT SCHOLAR PUBLICATIONS
MOST CITED SCHOLAR PUBLICATIONS
RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)
3 Patents
Industry, Institute, or Organisation Collaboration
International Crops Research Institute for Semi-Arid Tropics, Hyderabad India over 30 years research administration experience
Symbiosis Institute of Business Management, Hyderabad as Research Professor 2 Years of experience
INDUSTRY EXPERIENCE
International Crops Research Institute for Semi-Arid Tropics, Hyderabad India over 30 years research administration experience