Computing and Intelligent Systems
Next-Gen Data Analytics and Intelligent Automation
Editors: Kusum Kumari Bharti and Noor Firdoos Jahan
Publishing Date: 22-07-2025
ISBN : 978-81-975670-6-3
The book Next-Gen Data Analytics and Intelligent Automation presents an in-depth exploration of the rapidly evolving fields of data analytics, artificial intelligence (AI), and automation technologies, with a strong emphasis on next-generation tools, methodologies, and applications. Designed for researchers, practitioners, and students, this book bridges theoretical foundations with real-world implementations, offering insights into how data-driven decision-making and intelligent systems are transforming industries. It covers a broad spectrum of topics including big data frameworks, AI-driven analytics, machine learning pipelines, robotic process automation (RPA), intelligent agents, and the integration of Internet of Things (IoT) with automated systems. Each chapter is written by experts from academia and industry, ensuring a balanced perspective that combines innovation, application, and best practices. The book also discusses challenges, ethical considerations, and future trends, making it a comprehensive resource for navigating the digital transformation era.
Kusum Kumari Bharti :
Dr. Kusum Kumari Bharti is currently working as an Assistant Professor (Grade-I) in the Department of Information Technology at Dr. B. R. Ambedkar National Institute of Technology, Jalandhar. She previously served as an Assistant Professor in the Department of Computer Science and Engineering from 2016 to 2023. She completed her Ph.D. in Computer Science and Engineering from Atal Bihari Vajpayee Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior, with an MHRD teaching assistantship. She completed her M.Tech. in Computer Science and Engineering from MANIT Bhopal in 2010. She has published several research papers in reputed international journals and conferences, including those by IEEE and Springer. Her research interests include Soft Computing, Machine Translation, Brain–Computer Interfaces, Online Social Networks, and Natural Language Processing.
bhartik@nitj.ac.in
Dr. B. R. Ambedkar National Institute of Technology, Jalandhar
Noor Firdoos Jahan :
Dr. Noor Firdoos Jahan is currently serving as Professor & Head of the department of Marketing at RV Institute of Management, Bangalore, Karnataka, India. She did her Ph.D. in the field of Management from Sri Padmavati Mahila Visvavidyalayam, Tirupati. Her area of research is Marketing and Retailing. She has over 25 years of research and teaching experience at PG level. She has authored 8 books on the diversified areas of marketing and management. She has published more than 80 papers in international peer-reviewed journals of repute, national and international conferences in India and abroad. She has also guided 07 Ph.D. scholars and several MBA students in their project work. She has participated as resource person and has delivered lectures in many conferences and seminars. She is also serving as editorial board member of several Journals of repute.
noor.firdoos@gmail.com
RV Institute of Management (RVIM), Bengaluru, Karnataka
Chapters of Next-Gen Data Analytics and Intelligent Automation
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Advances in Transmit Beamforming Techniques for MIMO Radar
Authors: Chippa Hritika Ravindra, Chaudhari Sarthak Sanjay, Deshpande Nishant Sachin and Yerram Ravinder
Cite as: Chippa Hritika Ravindra, Chaudhari Sarthak Sanjay, Deshpande Nishant Sachin and Yerram Ravinder, "Advances in Transmit Beamforming Techniques for MIMO Radar", In: Kusum Kumari Bharti and Noor Firdoos Jahan (eds), Next-Gen Data Analytics and Intelligent Automation, SCRS, India, 2025, pp. 1-10. https://doi.org/10.56155/978-81-975670-6-3-1
Pages 1-10
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A Fully-Differential-Double-FoldedCascode-Push-Pull OTA with 151 dB CMRR
Authors: Sumit Kumar and R. K Sharma
Cite as: Sumit Kumar and R. K Sharma, "A Fully-Differential-Double-FoldedCascode-Push-Pull OTA with 151 dB CMRR", In: Kusum Kumari Bharti and Noor Firdoos Jahan (eds), Next-Gen Data Analytics and Intelligent Automation, SCRS, India, 2025, pp. 11-22. https://doi.org/10.56155/978-81-975670-6-3-2
Pages 11-22
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A Probabilistic Graph-Theoretic Framework for Reducing Medical Hallucinations in Large Language Models
Authors: Samvar Harshil Shah
Cite as: Samvar Harshil Shah, "A Probabilistic Graph-Theoretic Framework for Reducing Medical Hallucinations in Large Language Models", In: Kusum Kumari Bharti and Noor Firdoos Jahan (eds), Next-Gen Data Analytics and Intelligent Automation, SCRS, India, 2025, pp. 23-37. https://doi.org/10.56155/978-81-975670-6-3-3
Pages 23-37
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Cognitive Procurement in SAP Ariba: Leveraging Large Language Models for Intelligent Sourcing and Cyber Risk Alerts in the Life Sciences Industry
Authors: Manoj Somisetty
Cite as: Manoj Somisetty, "Cognitive Procurement in SAP Ariba: Leveraging Large Language Models for Intelligent Sourcing and Cyber Risk Alerts in the Life Sciences Industry", In: Kusum Kumari Bharti and Noor Firdoos Jahan (eds), Next-Gen Data Analytics and Intelligent Automation, SCRS, India, 2025, pp. 38-47. https://doi.org/10.56155/978-81-975670-6-3-4
Pages 38-47
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Dynamic Text-Attributed Graphs and Learning Models for Community Evolution: A Survey of Recent Advances
Authors: Sruthi K S, P B Divya, A Sreekumar and Kannan Balakrishnan
Cite as: Sruthi K S, P B Divya, A Sreekumar and Kannan Balakrishnan, "Dynamic Text-Attributed Graphs and Learning Models for Community Evolution: A Survey of Recent Advances", In: Kusum Kumari Bharti and Noor Firdoos Jahan (eds), Next-Gen Data Analytics and Intelligent Automation, SCRS, India, 2025, pp. 48-62. https://doi.org/10.56155/978-81-975670-6-3-5
Pages 48-62