135
20
16481
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Conference Papers
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Faculty Publications- Conference Papers
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Title
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Artificial Intelligence in Disaster Management: A Survey
Subject
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Disaster management; Disaster mitigation; Disaster preparedness; Disaster recovery; Disaster response; Machine learning
Description
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This paper provides a literature review of cutting-edge artificial intelligence-based methods for disaster management. Most governments are worried about disasters, which, in general, are unbelievable events. Researchers tried to deploy numerous artificial intelligence (AI)-based approaches to eliminate disaster management at different stages. Machine learning (ML) and deep learning (DL) algorithms can manage large and complex datasets emerging intrinsically in disaster management circumstances and are incredibly well suited for crucial tasks such as identifying essential features and classification. The study of existing literature in this paper is related to disaster management, and further, it collects recent development in nature-inspired algorithms (NIA) and their applications in disaster management. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Arora S.; Kumar S.; Kumar S.
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Lecture Notes in Networks and Systems, Vol-552, pp. 793-805.
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Springer Science and Business Media Deutschland GmbH
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2023-01-01
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<a href="https://doi.org/10.1007/978-981-19-6634-7_56" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-6634-7_56</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149974082&doi=10.1007%2F978-981-19-6634-7_56&partnerID=40&md5=586c99be7c9aa9c5349f59fb3e46bbbf" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149974082&doi=10.1007%2f978-981-19-6634-7_56&partnerID=40&md5=586c99be7c9aa9c5349f59fb3e46bbbf</a>
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ISSN: 23673370; ISBN: 978-981196633-0
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Online
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English
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Conference paper
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Arora S., Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Rajasthan, Rajasthan, Jaipur, 303002, India; Kumar S., Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Rajasthan, Rajasthan, Jaipur, 303002, India; Kumar S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India
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Title
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Faculty Publications
Book Chapter
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Mahesh, Poornima; Kaur, Jasmine
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Artificial intelligence in education: A pathway to achieving SDG 4
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01-01-2025
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AI, Policy, and the Future of Human-Centered Education;pp.107-134
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<a href="https://doi.org/10.4018/979-8-3373-5781-2.ch005" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-5781-2.ch005</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105012213769?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105012213769?origin=resultslist</a>
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Mahesh P., Christ University, India; Kaur J., Christ University, India
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Artificial Intelligence (AI) has emerged as a transformative force in education, offering innovative solutions to some of the most pressing challenges in the global education system. As the world strives to achieve the United Nations Sustainable Development Goals (SDGs), particularly SDG 4 (Quality Education), AI offers significant potential to enhance educational access, equity, and quality. This chapter explores the intersection of AI and education with a focus on how AI can contribute to the achievement of SDG 4. The chapter examines the role of AI in personalizing learning, promoting equity and inclusion, enhancing teacher effectiveness, and fostering global collaboration for sustainability. AI's ability to deliver personalized learning experiences is one of its most significant contributions to education. Through adaptive learning platforms and intelligent tutoring systems, AI can tailor educational content to meet the unique needs of individual students, ensuring that learning is accessible and engaging for all. 2026, IGI Global Scientific Publishing. All rights reserved.
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IGI Global
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ISBN: 979-833735783-6; 979-833735781-2;
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English
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Book chapter
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Faculty Publications
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Shashwat, Kumar; Pundhir, Shiv Kumar Singh
Title
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Artificial intelligence in education: Personalizing learning and overcoming ethical challenges
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01-01-2025
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Immersive Learning in Teacher Education: Simulated Environments, Tools, and Practices;pp.137-176
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<a href="https://doi.org/10.4018/979-8-3693-9861-6.ch005" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-9861-6.ch005</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105012808536?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105012808536?origin=resultslist</a>
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Shashwat K., Christ University, India; Pundhir S.K.S., Christ University, India
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This may be the breakthrough that AI in education can give to personalized learning, offering learners experiences tailored according to their individual needs and styles of learning. AI-driven technologies like adaptive learning platforms and intelligent tutoring systems enhance engagement, deepen understanding, and facilitate real-time feedback. However, the speedy development of AI in education also poses significant ethical challenges, including data privacy and algorithmic bias, as well as the automation of learning processes. It investigates the need for fairness and transparency in AI algorithms, protecting student data, and minimizing biases that might occur in the automated systems. Balancing innovation with ethical considerations will unlock new possibilities in education with AI while at the same time safeguarding the integrity of the learning environment. The chapter sets out key issues at the interface of AI and education, which provide a balanced overview of both its transformative potential and the challenges that need to be addressed for its responsible use. 2026, IGI Global Scientific Publishing. All rights reserved.
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IGI Global
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ISBN: 979-836939863-0; 979-836939861-6;
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English
Type
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Book chapter
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Restricted Access; Hardcopy may be available in the library
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Book
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Artificial Intelligence in Forecasting: Tools and Techniques
Description
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Forecasting deals with the uncertainty of the future. To be effective, forecasting models should be timely available, accurate, reliable, and compatible with existing database. Accurate projection of the future is of vital importance in supply chain management, inventory control, economic condition, technology, growth trend, social change, political change, business, weather forecasting, stock price prediction, earthquake prediction, etc. AI powered tools and techniques of forecasting play a major role in improving the projection accuracy. The software running AI forecasting models use machine learning to improve accuracy. The software can analyse the past data and can make better prediction about the future trends with higher accuracy and confidence that favours for making proper future planning and decision. In other words, accurate forecasting requires more than just the matching of models to historical data. The book covers the latest techniques used by managers in business today, discover the importance of forecasting and learn how its accomplished. Readers will also be familiarised with the necessary skills to meet the increased demand for thoughtful and realistic forecasts. 2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar.
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Mohanty S.N.; Nanjundan P.; Kar T.
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Artificial Intelligence in Forecasting: Tools and Techniques, pp. 1-356.
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CRC Press
Date
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2024-01-01
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<a href="https://doi.org/10.1201/9781003399292" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003399292</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195926047&doi=10.1201%2F9781003399292&partnerID=40&md5=b6aa1970d06418062da14b3d4e83ad03" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195926047&doi=10.1201%2f9781003399292&partnerID=40&md5=b6aa1970d06418062da14b3d4e83ad03</a>
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ISBN: 978-104005150-4; 978-103250615-9
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Online
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English
Type
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Book
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Mohanty S.N., School of Computer Science & Engineering, VIT-AP University, Amaravati, India; Nanjundan P., Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa, India; Kar T., School of Electronics Engineering, KIIT Deemed to be University, Bhubaneswar, India
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Title
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Conference Papers
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Artificial Intelligence in Fostering Sustainable Development
Subject
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Artificial Intelligence; Economy; Environmental; Indicators; Societal; Sustainability
Description
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Sustainable development is vital to mankind. The world is finding a growing effort of Artificial Intelligence (AI) towards sustainability, and we made an attempt to address the development in sustainability using AI systems. Sustainable development has three pillars of sustainability (i.e. social, economic, environment), and as such, the pillars of sustainable AI. The entire Life cycle of AI products can foster change in the movement of sustainability from which greater integrity and social justice can be achieved. Sustainable AI helps us to address the whole socio-technical system more than AI applications. This paper tried to address the positive impacts of AI on sustainable indicators in terms of Environmental, Societal and Economy factors. This paper is prepared to make readers, policymakers, AI ethicists and AI developers to inspire and connect with the environment for the current and future generations as there are few AI costs to be made compatible with the environment. 2023 American Institute of Physics Inc.. All rights reserved.
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Martha Sucharitha M.; Basha M.S.A.; Biswas P.; Krishnan D.R.
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AIP Conference Proceedings, Vol-2821, No. 1
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American Institute of Physics Inc.
Date
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2023-01-01
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<a href="https://doi.org/10.1063/5.0158568" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0158568</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179820171&doi=10.1063%2F5.0158568&partnerID=40&md5=24729a66b9d4c4166491c8a76816de16" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179820171&doi=10.1063%2f5.0158568&partnerID=40&md5=24729a66b9d4c4166491c8a76816de16</a>
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ISSN: 0094243X; ISBN: 978-073544735-6
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Online
Language
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English
Type
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Conference paper
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Martha Sucharitha M., Department of Professional Studies, CHRIST (Deemedto be University), Karnataka, Bengaluru, 560029, India; Basha M.S.A., GITAM School of Business, Gandhi Institute of Technology and Management (Deemed to be University), Karnataka, Bengaluru, 561203, India; Biswas P., Department of Professional Studies, CHRIST (Deemedto be University), Karnataka, Bengaluru, 560029, India; Krishnan D.R., Department of Professional Studies, CHRIST (Deemedto be University), Karnataka, Bengaluru, 560029, India
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Title
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Book Chapter
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Title
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Artificial Intelligence in Green Transportation: A Conceptual Review
Description
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[No abstract available]
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Sejana Jose V.; Sandhya H.; Varghese B.
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AI, Blockchain, and Metaverse in Hospitality and Tourism Industry 4.0: Case Studies and Analysis, pp. 289-299.
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CRC Press
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2024-01-01
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<a href="https://doi.org/10.1201/9781032706474-20" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781032706474-20</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203615410&doi=10.1201%2F9781032706474-20&partnerID=40&md5=8d46a616b3380dd62a220dc89b8112b2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203615410&doi=10.1201%2f9781032706474-20&partnerID=40&md5=8d46a616b3380dd62a220dc89b8112b2</a>
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ISBN: 978-104011988-4; 978-103269632-4
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Online
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English
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Book chapter
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Sejana Jose V., Mount Carmel College, Bangalore, India; Sandhya H., Christ (Deemed University), Bangalore, India; Varghese B., Christ (Deemed University), Bangalore, India
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Conference Papers
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Artificial Intelligence in Healthcare Supply Chain Management: A Bibliometric Analysis: Subtitle as needed (AI in Healthcare Supply Chain)
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Artificial Intelligence (AI); Healthcare Supply Chain Management (HSCM); Improved Healthcare Performance; Patients Safety
Description
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The presented paper discussed the review of Healthcare Supply Chain Management (HSCM) using Artificial Intelligence (AI). The implementation of artificial intelligence (AI) in HSCM has numerous benefits, including accurate demand forecasting of medical supplies, cost reduction, increased transparency, visibility, data-driven decision-making, enhanced supply chain resilience, streamlined healthcare operations, optimized transportation, and many more. Our approach to using AI in HSCM involved a thorough examination of the literature and bibliometric analysis. Research was started by exploring the Scopus database using suitable keywords. After the inclusion and exclusion criteria have been applied, the relevant papers were gone through full-text readings. Using Vos-viewer, the research papers were further analyzed for bibliometric analysis. 2024 IEEE.
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Gupta S.; Gupta A.; Virmani N.; Singh M.
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10th International Conference on Advanced Computing and Communication Systems, ICACCS 2024, pp. 1265-1268.
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Institute of Electrical and Electronics Engineers Inc.
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2024-01-01
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<a href="https://doi.org/10.1109/ICACCS60874.2024.10717239" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACCS60874.2024.10717239</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208629156&doi=10.1109%2FICACCS60874.2024.10717239&partnerID=40&md5=fbc7bb6e7a0aef677719f501542f49bd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208629156&doi=10.1109%2fICACCS60874.2024.10717239&partnerID=40&md5=fbc7bb6e7a0aef677719f501542f49bd</a>
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ISBN: 979-835038436-9
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Online
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English
Type
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Conference paper
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Gupta S., Ims Ghaziabad, India; Gupta A., Ims Ghaziabad, India; Virmani N., Ims Ghaziabad, India; Singh M., Christ University, India
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Faculty Publications
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Lal, Maureen Primrose; Nagariya, Ramji; Siddh, Man Mohan
Title
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Artificial intelligence in higher education: the challenges, opportunities and the road ahead
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01-01-2025
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International Journal of Intelligent Enterprise;Volume;12;Issue;2026-04-03 00:00:00;pp.377-394
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<a href="https://doi.org/10.1504/IJIE.2025.147685" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJIE.2025.147685</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105011694944?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105011694944?origin=resultslist</a>
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Lal M.P., CHRIST University, School of Business and Management, Bengaluru, India; Nagariya R., CHRIST University, School of Business and Management, Bengaluru, India; Siddh M.M., Department of Mechanical Engineering, Jaipur Engineering College and Research Centre, Rajasthan, Jaipur, 302022, India
Description
An account of the resource
This paper investigates to deliver an overview of literature from 2012 to 2023 on the phenomena of implementing artificial intelligence in education (AIEd). With the help of the Scopus indexing database, data from 441 articles were extracted, analysed based on the keywords and preliminary reading and synthesised according to explicit inclusion and exclusion criteria and article compilation was on the parameters of scientific procedures and rationales for systematic literature review protocol (SPAR4SLR). Drawing on the recent literature depicts that the inception of artificial intelligence in education is still in its initial stage and much research is required. This article implies that although there are benefits and challenges talked about in the article delving into the application of AIEd in higher educations system of teaching and learning that shall lead the education system to newfound intelligence and automation, however, things are at the very initial stage and filled with conjectures. The findings demonstrate that the artificial intelligence-based teaching and learning phenomenon has a bright future as educational institutes understand its upcoming impact. The greatest challenge for educational institutes now is to start planning, designing, developing and implementing artificial intelligence-based courses for multidisciplinary and holistic training for future employees. Copyright 2025 Inderscience Enterprises Ltd.
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AIEd; artificial intelligence; artificial intelligence in education; education; higher education; SPAR4SLR; systematic literature review protocol
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Inderscience Publishers
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ISSN: 17453232;
Language
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English
Type
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Article
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Restricted Access; Hardcopy may be available in the library
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online
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Faculty Publications
Book Chapter
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Kumar, Chandan; Thomas, K. Nivea
Title
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Artificial Intelligence in Language Teaching: Exploring Translanguaging, Eco-Linguistics, and Community-Based Learning
Date
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01-01-2025
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Community-Based Language Learning and Cultural Competence;pp.41-72
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<a href="https://doi.org/10.4018/979-8-3373-0030-6.ch002" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-0030-6.ch002</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105025384967?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105025384967?origin=resultslist</a>
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Kumar C., Christ University, India; Thomas K.N., Christ University, India
Description
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This chapter critically examines the role of Artificial Intelligence (AI) in second and foreign language teaching through the lens of eco-linguistics, with a particular focus on translanguaging. It explores three key dimensions of AI's impact: the theory of language, the theory of language learning, and the evolving role of the teacher. Using an argumentative and experimental methodology, the chapter integrates theoretical insights from eco-linguistics and translanguaging to evaluate AI-assisted tools. It highlights the opportunities these tools provide, such as personalized learning and adaptive feedback, while addressing their limitations, including challenges to emotional connection, language standardization, and the diminishing role of human interaction. The chapter proposes a hybrid model that combines AI with community- based language teaching to mitigate these issues, preserving the communication ecology and fostering more holistic language learning practices. 2026, IGI Global Scientific Publishing.
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IGI Global
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ISBN: 979-833730032-0; 979-833730030-6;
Language
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English
Type
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Book chapter
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Restricted Access; Hardcopy may be available in the library
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Faculty Publications
Book Chapter
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Saxena, Ankita; Shekhar, Shashi; Irfan, Mohammad
Title
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Artificial Intelligence in Mental Wellbeing in a Unit of Healthcare Industry in India
Date
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01-01-2026
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Advancing Equity in Global Healthcare Systems;pp.381-399
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<a href="https://doi.org/10.4018/979-8-3373-1330-6.ch014" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-1330-6.ch014</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105032375405?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032375405?origin=resultslist</a>
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Saxena A., GLA University, Mathura, India; Shekhar S., GL Bajaj Group of Institutions, India; Irfan M., Christ University, Bangalore, India
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Artificial Intelligence is of great help in healthcare sector in saving the human lives from deadly diseases like cancer, brain tumour etc. The present conceptual paper emphasise over a prominent unit of health care which is mental health care. Method: The paper envisages the role of artificial intelligence in identifying and curing mental disorders. For this the literature was collected from the database of scopus, WOS, government websites, newspaper articles and WHO. Results: Further the results revealed that with the use of AI enabled technology, (Machine learning, Deep learning, Natural Language Processing, Teletherapy, Computer vision), the medical professionals are able to diagnose and cure the mental disorders accurately and at early stage. With the government assistance for research centers, the inclusion of AI in mental healthcare can prove to be a great help for the wellbeing of mankind specifically in a developing country like India. 2026 by IGI Global Scientific Publishing. All rights reserved.
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IGI Global
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ISBN: 979-833731332-0; 979-833731330-6;
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English
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Book chapter
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Faculty Publications
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Alfonso, Thaddeus; Victoria, Sherine Georgina; Shirin, A.P.
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ARTIFICIAL INTELLIGENCE IN NEUROCOGNITIVE REHABILITATION: AI Applications in Assessment, Monitoring, and Therapy
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01-01-2026
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The Routledge International Handbook of Neurocognitive Rehabilitation: Practices, Innovations, and Future Directions;pp.117-146
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<a href="https://doi.org/10.4324/9781003646662-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003646662-9</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105028458403?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105028458403?origin=resultslist</a>
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Alfonso T., School of Psychological Sciences, Christ University, Karnataka, Bangalore, India; Victoria S.G., School of Psychological Sciences, Christ University, Karnataka, Bangalore, India; Shirin A.P., School of Psychological Sciences, Christ University, Karnataka, Bangalore, India
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The global rise in neurocognitive disorders, due to aging populations, traumatic brain injuries, and neurodegenerative diseases, demands innovative rehabilitation strategies. Artificial intelligence (AI) is transforming neurocognitive rehabilitation by enabling early detection, real-time monitoring, and personalized therapy through technologies such as machine learning, natural language processing, neuroimaging, and wearable sensors. This chapter explores how AI-powered tools enhance neuropsychological assessments, support continuous monitoring through multimodal data streams, and enable adaptive, patient-centered therapeutic interventions. Additionally, it evaluates the ethical challenges and implementation barriers associated with AI integration in clinical practice. By examining the interplay between AI and neurorehabilitation, the chapter underscores the transformative potential of interdisciplinary, data-driven approaches in cognitive healthcare. 2026 selection and editorial matter, K. Jayasankara Reddy; individual chapters, the contributors. All rights reserved.
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Taylor and Francis
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ISBN: 978-104056676-3; 978-104108711-3;
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English
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Conference Papers
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Artificial Intelligence Influence on Accounting Methods
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Accounting Methods; Application; Artificial Intelligence Influence; Finance Leaders
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Due to its benefits in terms of enhancing and redefining the actual manner of performing activities in this field, artificial intelligence is swiftly changing the reality of the accounting business. Accounting has seen a significant transformation over the years as computers, first and foremost, and more importantly, developers ready to spend less time on laborious work that minimises the amount of errors, have replaced the job done with paper and pencil. Although there has always been a fascination with artificial intelligence systems in this field, attention has recently shifted more toward it. Although technology has advanced, it seems that there aren't enough facts to back up businesses' readiness to include artificial intelligence systems into their accounting procedures. A crucial element of this reality is also the ability of professionals to quickly adjust to the new business climate, get the skills required to work with AI systems, and overcome their fear of losing their jobs. The requirements of the financial society, the quick development of data innovation, and artificial intelligence have brought about the modern era. Implementing artificial intelligence innovation is an unavoidable trend that will result in substantial changes and advancements in the accounting sector. In this essay, the usage of AI in the accounting industry is examined, its effects on the sector's expansion are examined, and significant solutions to current issues are suggested. 2022 IEEE.
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Krishna S.H.; Pattnaik M.; Patil A.; Rao K.T.V.; Muda I.; Saravanan S.
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Proceedings of 5th International Conference on Contemporary Computing and Informatics, IC3I 2022, pp. 2120-2125.
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Institute of Electrical and Electronics Engineers Inc.
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2022-01-01
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<a href="https://doi.org/10.1109/IC3I56241.2022.10073067" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IC3I56241.2022.10073067</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151996475&doi=10.1109%2FIC3I56241.2022.10073067&partnerID=40&md5=a784f3e7982df2bd004602b519cccc96" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151996475&doi=10.1109%2fIC3I56241.2022.10073067&partnerID=40&md5=a784f3e7982df2bd004602b519cccc96</a>
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ISBN: 979-835039826-7
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Online
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English
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Krishna S.H., Indian Vignana Bharathi Institute of Technology, Department of Business Management, Hyderabad, India; Pattnaik M., Princess Nourah Bint Abdulrahman University, College of Business Administration, Department of Accounting, Riyadh, Saudi Arabia; Patil A., CHRIST University, School of Business and Management, Bangalore, India; Rao K.T.V., NICMAR University, NICMAR Business School, Pune, India; Muda I., Faculty Economic and Business, Department of Doctoral Program, Universitas Sumatera Utara, Medan, Indonesia; Saravanan S., Dr. Ambedkar Government Arts College, Research Department of Commerce, Tamilnadu, Chennai, India
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Artificial Intelligence Influence on Leadership Styles in Human Resource Management for Employee Engagement
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Adaptive Leadership; Artificial Intelligence (AI); Human Resource Management (HRM); Leadership Styles; Longitudinal Studies; McGregor's Theory Y; Organizational Transformation
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In this work, we investigate how the revolutionary effects of AI on leadership styles in the field of human resource management (HRM) have impacted employee motivation. To investigate the intricate relationship between AI adoption, HR management, and employee morale, we use a mixed-method approach, combining quantitative survey data with qualitative interview results. Both Leadership Style Change (LS-Change) and Employee Engagement (EE) show a statistically significant positive correlation with AI adoption. In the new AI-enabled HRM environment, HR executives are shifting their methods of leadership, adopting more flexible styles, giving workers more autonomy, and improving lines of communication. This research links theory and practice by providing actionable advice to HR managers and business owners. In order to further develop the topic of AI-enhanced HRM, future studies should investigate longitudinal dynamics, cross-industry variances, cultural and ethical issues, cutting-edge AI applications, and employee perspectives. 2024 IEEE.
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Baruah A.; Shaikh M.; Kumar R.M.; Shaikh I.A.K.; Thomas S.N.; Natrayan L.
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Proceedings of 9th International Conference on Science, Technology, Engineering and Mathematics: The Role of Emerging Technologies in Digital Transformation, ICONSTEM 2024
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Institute of Electrical and Electronics Engineers Inc.
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2024-01-01
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<a href="https://doi.org/10.1109/ICONSTEM60960.2024.10568819" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICONSTEM60960.2024.10568819</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198835784&doi=10.1109%2FICONSTEM60960.2024.10568819&partnerID=40&md5=f00e282771a35033e72cff735a3fdb01" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198835784&doi=10.1109%2fICONSTEM60960.2024.10568819&partnerID=40&md5=f00e282771a35033e72cff735a3fdb01</a>
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ISBN: 979-835036509-2
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Online
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English
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Baruah A., Christ University, Department of Psychology, Delhi-NCR, India; Shaikh M., Dr Vishwanath Karad Mit World Peace University, Department School of Business, Pune, India; Kumar R.M., School of Commerce And Management, Kristu Jayanti College, (Autonomous), Kothanur, K.Narayanapura, Bengaluru, India; Shaikh I.A.K., Bahrain Polytechnic, Faculty of Business, Bahrain; Thomas S.N., Marian College Kuttikkanam (Autonomous), Commerce, Kerala, Peerumedu, India; Natrayan L., Saveetha School of Engineering, Simats, Department of Mechanical Engineering, Tamil Nadu, Chennai, India
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Conference Papers
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Artificial Intelligence Involvement in Graphic Game Development
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Artificial Intelligence; Game Development; Natural Language Processing; Rule-based Artificial Intelligence; Unreal Engine
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Games have always been a popular form of entertainment and with the advancements in technology, the integration of Artificial Intelligence (AI) in gaming has revolutionized the gaming industry. This research article aims to explore the various applications of AI in gaming and its impact on the industry and player experience. Unlike the typical straightforward nature of AI, this research paper takes a more human approach to discussing the topic. It delves into the evolution of AI in games and the various types of AI used in game development. These include rule-based AI, learning- based AI, and evolutionary AI, which have all contributed to the development of increasingly immersive gaming experiences. The benefits and challenges of using AI in games are also explored, considering the impact on player experience. While AI-powered opponents can provide a greater challenge, balancing the difficulty level is critical to ensuring the game remains enjoyable. The potential ethical concerns of using AI in games are also discussed, such as data privacy, bias, and fairness. Furthermore, this research paper looks into the future of AI in games and how it may shape the gaming industry and player experience in the years to come. With the continued development of AI techniques such as reinforcement learning and GANs, the possibilities for more immersive and engaging gaming experiences are endless. 2023 IEEE.
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Antony S.; Sabari T.; Joshua R.I.; Jayapandian N.
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Proceedings of the 2023 2nd International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2023, pp. 82-86.
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Institute of Electrical and Electronics Engineers Inc.
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2023-01-01
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<a href="https://doi.org/10.1109/ICAISS58487.2023.10250553" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAISS58487.2023.10250553</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173622631&doi=10.1109%2FICAISS58487.2023.10250553&partnerID=40&md5=6a05b035c9e531883e450f446789513f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173622631&doi=10.1109%2fICAISS58487.2023.10250553&partnerID=40&md5=6a05b035c9e531883e450f446789513f</a>
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ISBN: 979-835032579-9
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Online
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English
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Conference paper
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Antony S., Christ University, Department of Cse, Bangalore, India; Sabari T., Christ University, Department of Cse, Bangalore, India; Joshua R.I., Christ University, Department of Cse, Bangalore, India; Jayapandian N., Christ University, Department of Cse, Bangalore, India
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Artificial intelligence its growing role in human resource management
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In this competitive era, the impact of artificial intelligence in human resource management is increasing quickly. Collecting the relevant data and then analyzing it accurately can accelerate the efficient working process of the organization. Artificial intelligence has paved its way in the working of various departments like IT, finance, marketing, and HRM. In this research, the researcher focused on the emerging role of artificial intelligence in HR department and how it is acting as a stimulator in enhancing the efficiency and accuracy of various HR functions like recruitment, hiring, work- life balance, performance appraisal, etc. The chapter is based on descriptive research, in which the researcher has collected secondary data from various research papers, articles, blogs, and websites. The chapter focuses on the growing role of artificial intelligence in the human resource function of the organization. 2024, IGI Global. All rights reserved.
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Makhija M.; Jha P.; Dubey N.
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Employee Performance Management for Improved Workplace Motivation, pp. 231-261.
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IGI Global
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2024-01-01
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<a href="https://doi.org/10.4018/979-8-3693-4387-6.ch010" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-4387-6.ch010</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216776593&doi=10.4018%2F979-8-3693-4387-6.ch010&partnerID=40&md5=dee03c528d80f8796e69270c887fd157" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216776593&doi=10.4018%2f979-8-3693-4387-6.ch010&partnerID=40&md5=dee03c528d80f8796e69270c887fd157</a>
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ISBN: 979-836934388-3; 979-836934387-6
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Online
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English
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Book chapter
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Makhija M.; Jha P., Christ University, India; Dubey N., Galgotias University, India
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Faculty Publications
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Katare, Aditi Rajendra; Isaac, Kenin; Jayapandian, N.; Jacob, Geo T
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Artificial Intelligence Personalization: Opportunities, Risks, and the Need for Ethical Data Practices
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01-01-2025
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2025 IEEE 5th International Conference on ICT in Business Industry and Government, ICTBIG 2025;
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<a href="https://doi.org/10.1109/ICTBIG68706.2025.11323537" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICTBIG68706.2025.11323537</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105032858488?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032858488?origin=resultslist</a>
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Katare A.R., Christ University, Department of CSE, Bangalore, India; Isaac K., Christ University, Department of CSE, Bangalore, India; Jayapandian N., Christ University, Department of CSE, Bangalore, India; Jacob G.T., Christ University, Department of CSE, Bangalore, India
Description
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The benefits of AI personalization are numerous; however, the question still remains, what are the side effects of this feature? Will it help make shopping and enjoying content more enjoyable and efficient or will it destroy the trust of the users by creating privacy concerns. These are the issues this article has attempted to discuss and investigate. Artificial Intelligence (AI) personalization is a very helpful and useful feature, but there must remain a proper balance between personalization and data collection in order to ensure client comfort. A transparent and honest collection of data is to be expected for almost all the companies and this data is to be used responsibly. Activities like profiling must be regulated and controlled and should not be left unregulated. Despite laws being updated to be more considerate towards the privacy of users, the development of better enforcement is imperative. Regardless of the presence of appropriate laws, it is important that each individual practice the respective ethics while present in the digital universe. This article is discussed about AI personalization issues and its research challenges. 2025 IEEE.
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Artificial Intelligence; Data Privacy; Deep Learning; Encryption; Personalization
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Institute of Electrical and Electronics Engineers Inc.
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ISBN: 979-833157981-4;
Language
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English
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Conference paper
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Conference Papers
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Artificial Intelligence Revolution in Supply Chain Management
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Artificial Intelligence; Logistics; Robotics; Supply chain management
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Artificial Intelligence (AI) is a buzzword everywhere in every domain, as it is an emerging technology in all business sectors. It is essential for achieving productivity, business benefits, less human efforts in the required business sectors instead of a large workforce and many more artificial intelligence applications that are scaling up with large scale business sectors. AI capacity to identify the trade patterns, the study's business occurrence, and analyze the information. AI is necessary for today's life and as well as for upcoming generations. Artificial intelligence helps to resolve the most complex problems and difficult situations where humans have not achieved so far, as it is the artificial brainpower of humans. We have seen technological changes happening faster and progressively by AI. The supply chain vastly gained from interest and investments in AI. The digital supply chain initiation, a shift in manufacturing is up and running. Advantageous supply chain management is essential in business sectors, customers, and governments. A combination of Artificial intelligence and supply chain management is put together in making decisions. This article will discuss the overview of AI advancements in supply chain management end-to-end processes. We also reviewed the supply chain operations using AI. 2023 American Institute of Physics Inc.. All rights reserved.
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Basha M.S.A.; Sucharitha M.M.; Reddy G.S.; Devi A.U.
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AIP Conference Proceedings, Vol-2821, No. 1
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American Institute of Physics Inc.
Date
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2023-01-01
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<a href="https://doi.org/10.1063/5.0158422" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0158422</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179830530&doi=10.1063%2F5.0158422&partnerID=40&md5=04f5d9984528a95f06f16d82d70c6c7e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179830530&doi=10.1063%2f5.0158422&partnerID=40&md5=04f5d9984528a95f06f16d82d70c6c7e</a>
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ISSN: 0094243X; ISBN: 978-073544735-6
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Online
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English
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Conference paper
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Basha M.S.A., GITAM School of Business, Gandhi Institute of Technology and Management (Deemedto be University), Karnataka, Bengaluru, 561203, India; Sucharitha M.M., Department of Professional Studies, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Reddy G.S., Department of MBA, Ashoka Women's Engineering college, Andhra Pradesh, Kurnool, India; Devi A.U., Department of Management Studies, SRM Valliammai Engineering College, Kanchipuram, Tamil Nadu, Kattankulathur, India
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Articles
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Artificial intelligence service agents: a silver lining in rural India
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Artificial intelligence service agents (AISA); Economic; Insurance; Market
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Purpose: The study aims to examine the impact of an artificial intelligent service agent (AISA) on customer services to the rural population provided by KAYA, Kotak Life's AI-enabled insurance chatbot avatar that offers quality insurance services. Design/methodology/approach: Multi-stage cluster sampling method was adopted to collect the responses from the 707 customers across the rural population of southern states of India. SPSS V.2 and Smart PLS 4 were used to apply simple percentage analysis, multiple linear regression analysis, and structural equation modeling (SEM) to validate the hypothesis. The dependent variables are economic performance and market performance based on the independent variables: efficiency, security, availability, enjoyment and contact. Findings: The study revealed that efficiency and security are the highest predictors and the most influencing variables in predicting the economic and market performance of the insurance companies in determining the quality of service when rendered through AISA among the customers. Efficiency, security, availability, contact and enjoyment are the critical dimensions of AISA. It has a more significant impact on quality service (claim processing) to the rural population. It improves the economic and market performance among the insurance companies and the rural population. Originality/value: Customers need convenience when making claims. Even little challenges might lead to stress and unhappiness, depending on the situation. Restrictions on where customers can file claims may not be the most outstanding service insurance firms can offer, given rising travel and commuting costs and widening geographical borders. Customers value proactive communication from service providers about the status of their insurance claims. 2023, Emerald Publishing Limited.
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Ravi H.; Vedapradha R.
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Kybernetes, Vol-53, No. 8, pp. 2662-2678.
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Emerald Publishing
Date
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2024-01-01
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<a href="https://doi.org/10.1108/K-09-2022-1239" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/K-09-2022-1239</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151938135&doi=10.1108%2FK-09-2022-1239&partnerID=40&md5=355137dc97468fc45f371131fabbe213" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151938135&doi=10.1108%2fK-09-2022-1239&partnerID=40&md5=355137dc97468fc45f371131fabbe213</a>
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Restricted Access
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ISSN: 0368492X
Format
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Online
Language
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English
Type
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Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Ravi H., School of Business and Management, CHRIST (Deemed to be University), Yeshwanthpur Campus, Bangalore, India; Vedapradha R., Department of Commerce, Mount Carmel College, Autonomous, Bangalore, India
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Title
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Articles
Article
Faculty Publications -Articles
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The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Artificial Intelligence Technique Based Effective Disaster Recovery Framework to Provide Longer Time Connectivity in Mobile Ad-hoc Networks
Subject
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Artificial Intelligence; Geographical Information System; Greedy Randomized Adaptive; Neural Network; Search Procedure
Description
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Communication plays a vital role for effective management and for the execution of disaster response and emergency recovery efforts must be able to exchange information with each other from anywhere, at any time to successfully fulfill their missions. Therefore, it is important to configure emergency communications networks in disaster conditions using ad-hoc networks. This proposed framework collects the information and communication before or after a disaster. The aim of this research work is to propose a possible practical communication model by using ad-hoc network configuration technologies using Greedy Randomized Adaptive Search Procedure (GRASP) with the proposed algorithm. The development of this research work is to improve information exchange and facilitate coordination among emergency services and disaster field offices, state/level entities and private industry. This is accomplished by the integration of existing information systems, implementation of new efficient technologies and interconnection of established networks with artificial based techniques. IJCESEN.
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Robert N.R.; Cecil Donald A.; Suresh K.
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International Journal of Computational and Experimental Science and Engineering, Vol-11, No. 1, pp. 87-96.
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Prof.Dr. ?skender AKKURT
Date
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2024-01-01
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<a href="https://doi.org/10.22399/ijcesen.713" target="_blank" rel="noreferrer noopener">https://doi.org/10.22399/ijcesen.713</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214976082&doi=10.22399%2Fijcesen.713&partnerID=40&md5=e23b3179d305ca888c943bf92416d063" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214976082&doi=10.22399%2fijcesen.713&partnerID=40&md5=e23b3179d305ca888c943bf92416d063</a>
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All Open Access; Gold Open Access
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ISSN: 21499144
Format
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Online
Language
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English
Type
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Article
Coverage
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Robert N.R., Department of Computer Science, Christ University, Bangalore, 560029, India; Cecil Donald A., Department of Computer Science, Christ University, Bangalore, 560029, India; Suresh K., Department of Computer Science, Christ University, Bangalore, 560029, India
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Dublin Core
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Artificial Intelligence Technological Revolution in Education and Space for Next Generation
Subject
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Artificial intelligence; Education; Machine learning; Natural language processing; Space; Students
Description
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The goal of this research is to discover the various potential for the educational system using artificial intelligence (AI). The world today is dealing with AI in different sectors. This study specifically looked into the prospects for acquiring efficient and high-quality education for each student, automating administrative tasks, including regulating adaptive student support systems. AI has been leveraged and used in the education sector in various formations. AI initially took in the form of computers with the cognitive model, transformed to online learning, together with other technologies, the use of AI provides chatbots to perform instructors. Imagine you can access your classroom from anywhere at any time through an online learning system. These functionalities enable the education system to deal with the curriculum effectively. Using these facilities, teachers instruct the students to desire to achieve their goals efficiently. The primary aim of this article addresses the concepts in AI that serve to regulate and improve the overall quality of academic performance. The secondary aim of this article is to discuss AI involvement in the space domain. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Chetradevee S.L.; Anushka Xavier K.; Jayapandian N.
Source
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Lecture Notes in Networks and Systems, Vol-461, pp. 371-382.
Publisher
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Springer Science and Business Media Deutschland GmbH
Date
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2022-01-01
Identifier
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<a href="https://doi.org/10.1007/978-981-19-2130-8_30" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-2130-8_30</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136989371&doi=10.1007%2F978-981-19-2130-8_30&partnerID=40&md5=93cd3b61e391c667b4eadfd0052ebb31" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136989371&doi=10.1007%2f978-981-19-2130-8_30&partnerID=40&md5=93cd3b61e391c667b4eadfd0052ebb31</a>
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Restricted Access
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ISSN: 23673370; ISBN: 978-981192129-2
Format
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Online
Language
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English
Type
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Conference paper
Coverage
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Chetradevee S.L., Department of Computer Science and Engineering, CHRIST (Deemed to Be University), Kengeri Campus, Bangalore, India; Anushka Xavier K., Department of Computer Science and Engineering, CHRIST (Deemed to Be University), Kengeri Campus, Bangalore, India; Jayapandian N., Department of Computer Science and Engineering, CHRIST (Deemed to Be University), Kengeri Campus, Bangalore, India