Dr.Ravindra Sharma
@srhu.edu.in
Assistant Professor
Swami Rama Himalayan University
RESEARCH, TEACHING, or OTHER INTERESTS
Business, Management and Accounting, Organizational Behavior and Human Resource Management, Management Information Systems, Business and International Management
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
V. Harish, Ravindra Sharma, Geeta Rana, and Anand Nayyar
Chapman and Hall/CRC
Bhakti Parashar, Ravindra Sharma, Vaibhav Parashar, Geeta Rana, Anand Nayyar, and V. Harish
IGI Global
Over 30 years the scope of technological support has broadened from overhead projectors, slides, filmstrips, to 21st century technologies such as 3D simulation and VR. Devices from low tech to high tech are commonly used to assist students with a variety of learning challenges. AI animation tools have the potential to be a useful resource for students with disabilities and can help these students achieve their full potential by including accessibility features and making animations that are especially made for students with special needs. Artificial intelligence is being used to individualize instruction, deliver feedback, and monitor student progress. AI-powered tutors, for instance, can help students learn at their own pace, and AI-powered grading software can assist teachers in accurately and quickly grading papers.
Bhakti Parashar, Amrita Chaurasia, and Ravindra Sharma
AIP Publishing
A. Mansurali, V. Harish, Sherin Hussain, and Ravindra Sharma
Springer Nature Switzerland
Geeta Rana and Ravindra Sharma
Inderscience Publishers
Yogesh Pant and Ravindra Sharma
IEEE
This work emphasizes to increase the network lifetime by using an appropriate data collection scheme and machine learning technique. The routing mechanism is one of the best approaches to decrease energy consumption and increase the lifetime of the network as well. We have used PSO with an updated scheme where we are selecting the random values to find best fitness value then the final route will be calculated. Genetic methods like mutation and crossover are implemented over the final routes to get alternate routes and then performance will be calculated. We have compared the lifetime and stability of network with existing protocols like Low Energy Adaptive Clustering Hierarchy (LEACH), Power-Efficient Gathering in Sensor Information Systems (PEGASIS), and Ant Colony Routing (ACR). In this work, we have added active-sleep feature with our network to enhance the network lifetime and the machine learning technique is used to predict the data of the network in sleep state. MATLAB is used to validate our mathematical framework; we have performed analytical simulations by choosing the network area, the number of nodes in each cluster. The lifetime and stability period is analyzed and compared with other optimization methods.
Shakti Nagpal, Vijay Anant Athavale, Ashwini Kumar Saini, and Ravindra Sharma
IEEE
Global research team has announced that the health a management system at world level is in fear from CoV-19. Various statistical analysis has been done to check the preparedness to fight against CoV-19. Recent government responses of the different countries are also taken into the consideration while working for CoV-19 handling. Demographic trends are also added to add further content to potential impact of CoV-19 on healthcare services and system. This pandemic has raised a significant challenge to the economy of the different countries. Availability of beds are calculated on Per thousand people in different countries. Few of the countries analysis like Australia is having 2.6 beds per thousand people, while United Kingdom America is having 2.5 beds preparation over 1000 people. Per capita health spending in UK is marginally below the median. Hospital have been urged by government of different countries to postpone their surgeries and other treatments to provide the proper hospitality to cov-19 patients. India is at 145th place among 195 countries in healthcare access and Quality Index (HAQ)[1]. In this paper we have proposed a machine Learning model to predict the number of beds required as Cov-19 cases are increasing. Our Model Predicts the requirement for beds with 95% accuracy and acceptable p-value.
Rajesh Singh, Gehlot Anita, Shiv Capoor, Geeta Rana, Ravindra Sharma, and Shivani Agarwal
Springer International Publishing
Shikha Rana and Ravindra Sharma
IGI Global
Talent acquisition is the most crucial activity an organization goes through. The reasons for its criticality are not just confined to the cost and time involved in recruiting talent but also matching the right incumbents at the right place and at the right time along with the organizational fit are the most essential factors to deal with. Nowadays, organizations are working in VUCA (volatile, uncertainty, complexity, and ambiguity) environment that seeks a lot in terms of employee performance. Employer branding was initiated by Ambler and Barrow (1990) with an aim to attract and retain the best talent through various activities, and the contemporary research has proven that if branding of the organization is done in an effective manner then it retains the best talent; further, it enhances job engagement and motivation. The present chapter elaborates the concept of employer branding, benefits, and importance of employer branding. Recent surveys and trends of employer branding in Indian organizations have also been discussed.
Ravindra Sharma, S. P. Singh, and Geeta Rana
Springer Singapore
Geeta Rana, Ravinder Sharma, and Alok Kumar Goel
Springer International Publishing
Shikha Rana and Ravindra Sharma
IGI Global
Talent acquisition is the most crucial activity an organization goes through. The reasons for its criticality are not just confined to the cost and time involved in recruiting talent but also matching the right incumbents at the right place and at the right time along with the organizational fit are the most essential factors to deal with. Nowadays, organizations are working in VUCA (volatile, uncertainty, complexity, and ambiguity) environment that seeks a lot in terms of employee performance. Employer branding was initiated by Ambler and Barrow (1990) with an aim to attract and retain the best talent through various activities, and the contemporary research has proven that if branding of the organization is done in an effective manner then it retains the best talent; further, it enhances job engagement and motivation. The present chapter elaborates the concept of employer branding, benefits, and importance of employer branding. Recent surveys and trends of employer branding in Indian organizations have also been discussed.