Ajay Verma is a Research Scholar at Vellore Institute of Technology, working in the arena of Mediation Analysis. He has been working in several Edu-Tech platforms as a subject matter expert for Statistics. He has completed his master's with a specialization in Mathematical Statistics.
Specialties- Latex Scientific language, R-software, SPSS, Microsoft Excel, Word, Powerpoint
He is the corresponding author and can be reached at
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EDUCATION
[2021 – 2024 ] Doctor of Philosophy (Ph.D. Pursuing) in Applied Statistics,
University: VIT Bhopal University, (M.P.), India
[2016 – 2018 ] Master of Science (M.Sc.) in Applied Statistics.
University: Dr. Shakuntala Misra National Rehabilitation University, Lucknow (U.P.).
[2011 – 2014 ] Bachelor of Science (B.Sc.) in Mathematics.
University: Shia PG College, Lucknow, affiliated with Lucknow University, Lucknow (U.P.).
RESEARCH, TEACHING, or OTHER INTERESTS
Statistics and Probability, Statistics, Probability and Uncertainty, Multidisciplinary, Health (social science)
11
Scopus Publications
83
Scholar Citations
3
Scholar h-index
2
Scholar i10-index
Scopus Publications
Predicting the Risk of Diabetes and Heart Disease with Machine Learning Classifiers: The Mediation Analysis Ajay Verma, Manisha Jain Measurement, 2025 Purpose This research employs machine learning and mediation analysis, along with path analysis, to investigate the correlations between factors such as body mass index (BMI) and the occurrence of diabetes and heart disease among the Indian population. The objective is to enhance models that are specifically designed to accommodate lifestyles, genetic differences, and healthcare obstacles.Methods Our research combines a range of data that includes aspects such as lifestyle, physical health, and mental well-being. We use mediation and path analysis techniques to identify the factors involved in the process, while also utilizing machine learning classifiers to enhance risk assessment. In addition to considering known risks, we also investigate biomarkers. Incorporate time factors through analyses.Results Mediation and path models analyze that diabetes and heart disease are partially mediated with their coefficients a = 7.85, b = 0.01, and c-c’ = 0.10. In the path analysis model, the standardized values of exposure and outcome variables are 4.14 and 6.85, respectively, showing a significant relationship with the mediator and other covariates. In classification, the Random Forest classifier shows 99% accuracy and precession, while the Decision Tree, Extra Tree, K-Nearest, and Adaboost classifiers have an accuracy of 98%, 97%, 96%, and 95%, which shows that the machine learning classifiers are more significant for the study.Conclusion This study contributes to the development of risk management for diabetes and heart disease in India by utilizing machine learning and mediation analysis. It examines relationships, such as BMI, to provide insights for targeted measures, thereby contributing to global discussions on health.
Mediation Analysis of Diabetes and Heart Diseases Influenced by Obesity Using Machine Learning Classifiers Ajay Verma, Manisha Jain Austrian Journal of Statistics, 2024 Purpose:This study examines the impact of body mass index on diabetes and heart disease among Indians. Multi-morbidity ailments are associated with diabetes. To understand the relationship between diabetes, body mass index, and heart disease, a study is undertaken.Methods:The present study established a relationship between diabetes, heart disease and body mass index using mediation analysis and machine learning classifiers. R software with Hayes Macro Process and Python was used as a statistical tool to conclude the study.Results:As a result of the present findings, the body mass index mediates the relationship between diabetes and heart disease and cannot be countered. This study's indirect impact is 4.6231, statistically significant at a 95% confidence interval (3.1333, 9.6556). Thesignificance of the indirect effect of diabetes on heart disease is evident as (BootLLCI), and (BootULCI) are both positive anddo not contain zero. This indicates that there is a substantial mediation effect present. In classification, the TensorFlow classifiershows 99% accuracy and 97% precession, while the Linear S.V.C., NuSVC and Logistic Regression have an accuracy of 98%, 96% and 97%, which shows that the machine learning classifiers are more significant for the study.Conclusion:Our study examines how Body Mass Index (B.M.I.) mediates diabetes and heart disease, which are statistically significant. Despite the close relationship between heart disease and diabetes, little is known about the pathways involved. Machine Learning Classifiers show that the risk of diabetes, heart disease and other diseases increases due to deterioration of body mass index.
Channeling basic sciences for innovation and growth insights from ai integration in education and business Ajay Verma, Nahida Majeed Wani Unleashing the Power of Basic Science in Business, 2024 Artificial intelligence (AI) has rapidly advanced in recent years, poised to revolutionize various aspects of human life. Despite its potential, many educators are unaware of its broad impact. However, AI integration in education is expanding, aiming to improve teaching and learning quality through diverse methodologies leveraging data analytics and machine learning. This study explored AI's role in massive open online courses (MOOCs) using a bibliometric approach applied to Scopus databases from 2012 to 2024, analyzing 366 articles. While interest in the topic is growing, the literature remains in its early stages. Meanwhile, in business, the influence of basic sciences is often overlooked, yet they provide the foundation for innovation. Integrating these principles into business strategies uncovers new growth paths and fosters a culture of curiosity, collaboration, and innovation. This integration drives technological progress and inspires innovation in supply chain optimization and healthcare solutions.
Adapting to remote work: Navigating sustainability impacts through basic sciences in Indian it enterprises Sayantan Mukherjee, Shromona Neogi, Ajay Verma Unleashing the Power of Basic Science in Business, 2024 The trend towards remote and hybrid work patterns in India's IT companies could have beneficial and bad consequences on the industry's survival. This study aims to synthesise the latest management research and case studies and offer practical conclusions, supported by relevant basic science principles. In response to the COVID-19 pandemic, several Indian companies have adopted remote and hybrid work arrangements. This study report seeks to understand the relationship between sustainability performance, new ways of working, workspace consumption patterns, and methods for reducing physical workspace use by individuals and businesses, supported by psychological and environmental evidence. Polls of Indian IT firm managers and executives found that innovative working practices reduce office space, improving sustainability metrics. Keywords Basic Sciences in business, Hybrid Workspaces, Indian IT Sector, Sustainability, Sustainability Challenges, Sustainability performance
Strategic integration of basic science for educational services in business Ajay Verma, Sayantan Mukherjee, Shromona Neogi Unleashing the Power of Basic Science in Business, 2024 In the midst of a monumental era characterized by the profound impact of digital transformation across industries, the strategic integration of information and communication technologies (ICT) into educational services has risen to the forefront as an imperative within the expansive landscape of business operations. This chapter embarks on an extensive and meticulous Bibliometric analysis, delving into the intricate interplay between ICT, education, and business. Leveraging sophisticated bibliometric techniques meticulously applied to vast academic databases, this study navigates through the complex terrain of this interdisciplinary realm, uncovering nuanced trends, intricate patterns, and pivotal themes that shape its landscape. Spanning a comprehensive analysis of articles spanning the past decade, our research unveils the dynamic evolution and trajectory of scholarship within this domain, shedding light on the myriad facets of its development.
Adoption of artificial intelligence-enabled bots in the healthcare education industry: A cost-benefit study Shromona Neogi, Sayantan Mukherjee, Ajay Verma Unleashing the Power of Basic Science in Business, 2024 A few instances of artificial intelligence (AI) enabled chatbots and robots that are now being utilised by the healthcare industries are chatbots, delivery robots, robot concierges, conveyor healthcare services, and self-service information/check-in/check-out kiosks. Despite substantial advancements made in the study of social robots, this chapter aims to partially fill the hole left by the dearth of earlier research on the topic of chatbots in the medical sector. The chapter examines the benefits and drawbacks of adopting AI-enabled chatbots by the healthcare industry, which consists of establishments such as hospitals, nursing homes, telemedicine centers, health camps, and other types of healthcare-providing firms. According to the findings of the study, AI-enabled chatbots are adopted is affected by a variety of factors, including the cost of labour and technology, the willingness of patients to have their needs met by a chatbot, the cultural characteristics of both patient and healthcare service providers, the technological characteristics of AI-enabled chatbot solutions, and others.
Cyber security in the cloud: Harnessing the power of machine learning and cloud cryptography Nahida Majeed Wani, Ajay Verma Driving Decentralization and Disruption with Digital Technologies, 2024 In an era defined by digital interconnectivity, securing information in the cloud is paramount. By harnessing the power of present advanced technologies, organizations can fortify their defenses against evolving cyber threats while simultaneously embracing environmentally conscious practices. The model begins by integrating machine learning (ML) algorithms into fabric of cyber security. Anomaly detection, threat prediction, and adaptive response mechanisms enable a proactive defense, continually evolving to thwart emerging threats. Beyond the realm of cyber security efficacy, ML optimizes resource utilization, contributing to the sustainability of cloud operations. Complementing this adaptive intelligence, cloud cryptography emerges as a cornerstone for securing data at rest and in transit. From traditional encryption to quantum-resistant cryptographic techniques, the model ensures confidentiality and integrity of information. Sustainable cryptographic practices, coupled with efficient key management, further mitigate the environmental impact associated with cryptographic operations.
Influencer marketing: Way to a sustainable marketing approach Sayantan Mukherjee, Ajay Verma, Shromona Neogi Driving Decentralization and Disruption with Digital Technologies, 2024 The millennial focus has shifted from mere consumption to sustainable consumption. Responsible and ethical buying is the primary focus. Millennial consumers are highly concerned about issues like environmental degradation and climatic changes and are ready to contribute to good causes. They are becoming more risk-averse and prefer to support businesses that emphasize pro-social messaging, environmentally friendly production, and moral business practices. The target consumer's perception of influencer marketing buzzwords like authenticity, credibility, and consumer involvement can be perceived as evolving. Influencers also power their voices to promote changes for good environmental causes. The study enlightens the development of the urge for ethical/sustainable buying to adopt moral influencer content as a basis to follow them and facilitate the consumer buying process. The people associated with the domain as influencers or aspiring to be one should focus on ethical influencing. The growing ethical consumerism is playing a vital role in behavioral adoption of ethical influencers.
The Effect of Social Media Sites Promoting the Tourism Industry: An Indian Perspective Language and Cross Cultural Communication in Travel and Tourism Strategic Adaptations, 2024
An assessment of cross-cultural communication and collaborative active learning to attain employability skills Life Skills in Contemporary Education Systems Exploring Dimensions, 2023
Advancing Smart Devices and IoT: Research Insights and Directions A Verma, N Majeed, Wani, G Kumar, Verma Tiny Machine Learning: Fundamentals, Applications and Security , 2026 2026
Predicting the Risk of Diabetes and Heart Disease with Machine Learning Classifiers: The Mediation Analysis A Verma, M Jain Measurement: Interdisciplinary Research and Perspectives 23 (3), 310-327 , 2025 2025 Citations: 1
ARTISANAL TIMEKEEPING WRISTWATCH A Verma, P Verma, S Mukherjee, Neogi, P Shromona, C IN Patent 452774-001 , 2025 2025
Impact of Rotavirus Vaccine on Malnutrition among Children: Evidence from National Family Health Survey (NFHS) 2019-2021, India A Verma India (January 14, 2025) , 2025 2025
UNVEILING THE DIGITAL FOOTPRINT: AN EMPIRICAL RESEARCH TO EXAMINE THE RELATIONSHIP BETWEEN VIRTUAL INFLUENCE AND NORMATIVE SOCIAL BEHAVIOUR OF INDIAN CONSUMERS S Mukherjee, A Verma, S Neogi Academy of Marketing Studies Journal 29 (2) , 2025 2025
Does unintended birth lead to zero dose of DPT vaccine among children aged 12–23 months in India? P Dhalaria, P Kumar, A Verma, P Priyadarshini, AK Singh, B Tripathi, ... Human Vaccines & Immunotherapeutics 20 (1), 2417526 , 2024 2024 Citations: 2
Navigating Change: Transformational Leadership Practices in the Hybrid Work Revolution of Indian IT S Neogi, S Mukherjee, A Verma, P Verma National conference on Business Management ans social Innovation (NCBMSI-24) 24 , 2024 2024
Mediation Analysis of Diabetes and Heart Diseases Influenced by Obesity Using Machine Learning Classifiers A Verma, M Jain Austrian Journal of Statistics 53 (5), 90-111 , 2024 2024 Citations: 1
Does Exposure to Anaemia Severity in Childhood Increases the Risk of Learning Poverty at School Age: Evidence from Rural India AK Verma, J Komaraiah, A Gaur Available at SSRN 5008267 , 2024 2024
The Effect of Social Media Sites Promoting Tourism Industry: An Indian Perspective V Bhatt, A Verma Language and Cross-Cultural Communication in Travel and Tourism, 235-251 , 2024 2024
Spatial Distribution and Influencing Factors of Zero Consumption of Iron and Folic Acid (IFA) among Pregnant Women in India: Evidence from National Family Health Survey, 2019–21 A Verma, A Banerjee, AK Gaur, JB Komaraiah GeoJournal 89 (5), 217 , 2024 2024 Citations: 2
The Role of Antenatal Iron and Folic Acid Supplementation in Shaping Cognitive Achievement among School Age Children in India: A Perspective of Human Capital Formation AK Verma, J Komaraiah, A Gaur Available at SSRN 4956273 , 2024 2024
Exploring landscape of measles vaccination coverage: A step towards measles elimination goal in India P Dhalaria, P Kumar, A Verma, P Priyadarshini, AK Singh, B Tripathi, ... Vaccine 42 (17), 3637-3646 , 2024 2024 Citations: 24
Analyzing The Organizational Factors That Drive Workplace Sustainability in Hybrid Workplaces S Neogi, S Mukherjee, A Verma, P Verma The First Global Business and Social Practices Conference, ALTINBAS … , 2024 2024
Consumer Awareness and Buying Behavior of Individuals Towards Ethical Fashion in India K Pareek, A Verma The First Global Business and Social Practices Conference, ALTINBAS … , 2024 2024
Strategic Integration of Basic Science for Educational Services in Business A Verma, S Mukherjee, S Neogi Unleashing the Power of Basic Science in Business, 163-182 , 2024 2024
Channeling Basic Sciences for Innovation and Growth Insights From AI Integration in Education and Business A Verma, NM Wani Unleashing the Power of Basic Science in Business, 222-242 , 2024 2024
Adapting to remote work: navigating sustainability impacts through basic sciences in Indian IT enterprises S Mukherjee, S Neogi, A Verma Unleashing the Power of Basic Science in Business, 311-331 , 2024 2024 Citations: 1
Adoption of Artificial Intelligence-Enabled Bots in the Healthcare Education Industry: A Cost-Benefit Study S Neogi, S Mukherjee, A Verma Unleashing the Power of Basic Science in Business, 332-352 , 2024 2024 Citations: 1
Smartphone Shackles: Unraveling the Mental Toll of Device Dependency on Indian Undergraduates A Verma, S Mukherjee, S Neogi, A Chanda, A Nag Community Practitioner , 2024 2024 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
Potential impact of rotavirus vaccination on reduction of childhood diarrheal disease in India: an analysis of National Family Health Survey-5 P Dhalaria, S Kapur, AK Singh, A Verma, P Priyadarshini, G Taneja Vaccine: X 14, 100319 , 2023 2023 Citations: 37
Exploring landscape of measles vaccination coverage: A step towards measles elimination goal in India P Dhalaria, P Kumar, A Verma, P Priyadarshini, AK Singh, B Tripathi, ... Vaccine 42 (17), 3637-3646 , 2024 2024 Citations: 24
Cyber Security in the Cloud: Harnessing the Power of Machine Learning and Cloud Cryptography N Wani, A Verma Driving Decentralization and Disruption With Digital Technologies , 2024 2024 Citations: 5
AN EMPIRICAL STUDY ON THE DEPENDENCE OF SOCIAL MEDIA PLATFORMS ON THE DIGITAL INFLUENCERS TO GAIN RELIABILITY AS A PROMOTIONAL TOOL S NEOGI, S MUKHERJEE, A VERMA 2024 Citations: 3
Analysis of Factors Affecting Life Goals and Opportunities of Students with or without Disabilities: A Comparative study A Verma, M Jain, V Bhatt Journal of Engineering Education Transformations, 13-22 , 2023 2023 Citations: 3
Does unintended birth lead to zero dose of DPT vaccine among children aged 12–23 months in India? P Dhalaria, P Kumar, A Verma, P Priyadarshini, AK Singh, B Tripathi, ... Human Vaccines & Immunotherapeutics 20 (1), 2417526 , 2024 2024 Citations: 2
Spatial Distribution and Influencing Factors of Zero Consumption of Iron and Folic Acid (IFA) among Pregnant Women in India: Evidence from National Family Health Survey, 2019–21 A Verma, A Banerjee, AK Gaur, JB Komaraiah GeoJournal 89 (5), 217 , 2024 2024 Citations: 2
Influencer Marketing: Way to a Sustainable Marketing Approach S Mukherjee, A Verma, S Neogi Driving Decentralization and Disruption With Digital Technologies , 2024 2024 Citations: 2
Predicting the Risk of Diabetes and Heart Disease with Machine Learning Classifiers: The Mediation Analysis A Verma, M Jain Measurement: Interdisciplinary Research and Perspectives 23 (3), 310-327 , 2025 2025 Citations: 1
Mediation Analysis of Diabetes and Heart Diseases Influenced by Obesity Using Machine Learning Classifiers A Verma, M Jain Austrian Journal of Statistics 53 (5), 90-111 , 2024 2024 Citations: 1
Adapting to remote work: navigating sustainability impacts through basic sciences in Indian IT enterprises S Mukherjee, S Neogi, A Verma Unleashing the Power of Basic Science in Business, 311-331 , 2024 2024 Citations: 1
Adoption of Artificial Intelligence-Enabled Bots in the Healthcare Education Industry: A Cost-Benefit Study S Neogi, S Mukherjee, A Verma Unleashing the Power of Basic Science in Business, 332-352 , 2024 2024 Citations: 1
Smartphone Shackles: Unraveling the Mental Toll of Device Dependency on Indian Undergraduates A Verma, S Mukherjee, S Neogi, A Chanda, A Nag Community Practitioner , 2024 2024 Citations: 1
Advancing Smart Devices and IoT: Research Insights and Directions A Verma, N Majeed, Wani, G Kumar, Verma Tiny Machine Learning: Fundamentals, Applications and Security , 2026 2026
ARTISANAL TIMEKEEPING WRISTWATCH A Verma, P Verma, S Mukherjee, Neogi, P Shromona, C IN Patent 452774-001 , 2025 2025
Impact of Rotavirus Vaccine on Malnutrition among Children: Evidence from National Family Health Survey (NFHS) 2019-2021, India A Verma India (January 14, 2025) , 2025 2025
UNVEILING THE DIGITAL FOOTPRINT: AN EMPIRICAL RESEARCH TO EXAMINE THE RELATIONSHIP BETWEEN VIRTUAL INFLUENCE AND NORMATIVE SOCIAL BEHAVIOUR OF INDIAN CONSUMERS S Mukherjee, A Verma, S Neogi Academy of Marketing Studies Journal 29 (2) , 2025 2025
Navigating Change: Transformational Leadership Practices in the Hybrid Work Revolution of Indian IT S Neogi, S Mukherjee, A Verma, P Verma National conference on Business Management ans social Innovation (NCBMSI-24) 24 , 2024 2024
Does Exposure to Anaemia Severity in Childhood Increases the Risk of Learning Poverty at School Age: Evidence from Rural India AK Verma, J Komaraiah, A Gaur Available at SSRN 5008267 , 2024 2024
The Effect of Social Media Sites Promoting Tourism Industry: An Indian Perspective V Bhatt, A Verma Language and Cross-Cultural Communication in Travel and Tourism, 235-251 , 2024 2024
Publications
1. Transformation of consumer online buying behavior and safety factors post-pandemic: Is it transitory or permanent?
2. An empirical study on the dependence of social media platforms on the digital influencers to gain reliability as a promotional tool.
3. Smartphone shackles: Unraveling the mental toll of device dependency on Indian undergraduates.
4. Predicting the risk of diabetes and heart disease with machine learning classifiers: The mediation analysis.
5. Analysis of factors affecting life goals and opportunities of students with or without disabilities: A comparative study.
6. Virtual teaching learning practice and its impact on technical courses during covid-19: A post-pandemic study.
7. The effect of social media sites promoting the tourism industry: An Indian perspective,” in Language and Cross-Cultural Communication in Travel and Tourism.
8. Influencer marketing: Way to a sustainable marketing approach.
9. Cyber security in the cloud: Harnessing the power of machine learning and cloud cryptography.
10. An assessment of cross-cultural communication and collaborative active learning to attain employability skills.
11. Demography with special reference to disability: A pilot survey.
RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)
S. Mukherjee, S. Neogi, and A. Verma*, “Employee dynamics analyzing smartpod,” The Patent Office,
Government of India, 2023. url: .
