Recent Technological Advances in Engineering and Management Proceedings of recent technological advances in engineering and management

1. Artificial Intelligence’s Implications on Supply Chain Management
Somanchi Hari Krishna, B. Nagarjuna, A. Tamizhselvi, Ram subbiah, Shrinivas Amate,
P. S. Ranjit, and Astha Bhanot
2. Advances in Machine Learning for Predictive Maintenance of Manufacturing
T. Ch. Anil Kumar, Anjani Pradeep Sriramadasu, P. S. Ranjit, Ram subbiah, P. Satish kumar,
Karimulla Syed, and Dalia Younis
3. The Role of Blockchain Technology for the Traceability of Supply Chain
Margi Patel, Sumeet Gupta, Venkata Koteswara Rao Ballamudi, K. Suresh Kumar,
Rajesh Boorla, P. S. Ranjit, and Dalia Younis
4. Artificial Intelligence: A Tool for Talent Management
Somanchi Hari Krishna, Jitendra Gowrabhathini, Sai Harsha Nalluru,
Mahendra Kumar Verma, Rajesh Boorla, Ranjitha Guvvala, and Verezubova Tatsiana
5. Financial Fraud Detection and its Management Using Machine Learning
Implementation
Purushotam Chari, Chidanand Byahatti, Pratibha Singh, Ram subbiah, P. Karthikeyan,
V. Chandraprakash, and Nataliia Pavlikha
6. Assessing Blockchain’s Potential for Secure and Effective Supply Chain Management
M. Shunmugasundaram, Ritesh Kumar Singhal, Atish Mane, K. Suresh Kumar,
Siddhi Nath Rajan, P. S. Ranjit, and Dalia Younis
7. The Importance of Artificial Intelligence on the Strategy of Management
Jitendra Gowrabhathini, Tirumalaseety Bhuvana Sai, Gandesri Vinay Kumar, Ganesh
Waghmare, Bellamkonda Gopi Chand, M. Bhanu Prakash Reddy, Ivanenko Lyudmyla
8. Predictive Forecasting of Revenue with the Use of Machine Learning
Manish Kaushik, Divya Saxena, Shikha Mann, Mohit Tiwari, Shwetambari Pandurang
Waghmare, Abhinna Srivastava, and Nataliia Pavlikha
9. Investigating the Application of Blockchain for Secured and Efficient
Supply Chain Traceability
Neha Tyagi, Jitender Mittal, Barinderjit Singh, Tripti Tiwari, B Kiran Kumar,
Revathi R, and Helena Fidlerova
10. The Scope of AI in the Management of Human Resources
Somanchi Hari Krishna, Jitendra Gowrabhathini, Polina Harsha Vardhan Chowdary,
Shripada Patil, Chunduri Sai Ganesh Chowdary, Syed Shakeer, and Leszek Ziora
11. Implementing Machine Learning to Simplify Operations Management
Mahesh Manohar Bhanushali, Akkaraju Sailesh Chandra, A. Prakash, Sarita Satpathy,
Shaily Goyal, P. S. Ranjit, and Dr. Nino Abesadze
12. Machine Learning Technologies in Predictive Customer Service
K. K. Ramachandran, Karthick K. K, Manoj Ashok Sathe, Ram subbiah,
Patel Rasikkumar Dahyalal, Pankaj Kunekar, and Nataliia Pavlikha
13. Improving Logistics and Transportation Management using Machine Learning
K.Sankar Ganesh, Muragesh Y. Pattanshetti, Shaik Rehana Banu, Ram subbiah,
Rajib Mallik, P. S. Ranjit, and Dr. Rusudan Kinkladze
14. Investigating the Implementation of Blockchain for Transparent and Secure
RecordKeeping
Shiney Chib, A. Shameem, Samuel Lalthanliana, Ram subbiah, R. Ramya, Neetu Jain,
and Helena Fidlerova
15. The Utility of Artificial Intelligence in the Management of Financial Risk
Somanchi Hari Krishna, Pavana Kumari H, Sanjeeb K. Jena, P. Raman, Nilanjan
Mazumdar, Rohit Dhiman, and Leszek Ziora
16. Applications of Blockchain Technology in Data Management: Its Security
and Transparency
Ravi Kumar, Huma Khan, Akash Bag, S Durga, Chakradhar Padamutham,
Arpana Mishra, and Helena Fidlerova
17. Impact of Artificial Intelligence on Personalised Marketing
Somanchi Hari Krishna, K. K. Ramachandran, Karthick K. K, Ram subbiah,
G. Satheesh Raju, K. Siva kumar, and Leszek Ziora
18. Machine Learning and its Applications in Optimized Inventory Management
Shiney Chib, Sumeet Gupta, Rajib Mallik, Ram subbiah, Mahesh Manohar Bhanushali,
Gaurav Jindal, and Dr. Damian Dziembek
19. Evaluating the Application of Blockchain to Secure and Effective Electronic Voting
Luu the Vinh, Abhijeet Dinkar Cholke, Monika Saxena, Pyingkodi, K. Guru, B. Anusha,
and Dalia Younis
20. The Effect of AI on Management Decision-Making
Evis Garunja, Jitendra Gowrabhathini, Vellanki Abhilasya, Dhruva Sreenivasa Chakravarthi,
Vinnakota Haritha, Bonthu Lakshmi Meghana, and Verezubova Tatsiana
21. Evaluating Blockchain’s Potential for Secure and Effective Digital Identity
Management
Sharmila Subudhi, Mohd Aarif, Santosh Kumar, Dalia Younis, Mahendra Kumar Verma,
Kolipaka Ravi, and G. Shivakumari
22. Artificial Intelligence’s Implications on Project Management
Supriya Jain, Harish Satyala, P. S. Ranjit, Verezubova Tatsiana, Deepak Tulsiram Patil,
Geetha Manoharan, and Dhruva Sreenivasa Chakravarthi
23. Predictive Maintenance Employing Machine Learning in Service-Based Industries
Sriprasadh.K, V. V. Devi Prasad Kotni, K. Praveena, Nataliia Pavlikha, Mohit Tiwari,
M. Sai Kumar, and Abhay Singh Chauhan
24. Investigating the Utilisation of Blockchain for Transparent and Secure Data Sharing
B. T. Geeth, M. Charles Arockiaraj, Santosh Kumar, Helena Fidlerova, D. Velmurugan,
Chakradhar Padamutham, and P. Sasikala
25. Artificial Intelligence’s Function in the Detection and Prevention of Fraud
Chandrashekhar Goswami, Abdullah Samdani, Asif Iqubal Shah, Leszek Ziora,
Ananda Ravuri, Bibin K. Jose, and Ashwini Kumar Saini
26. Investigating Blockchain Potential for Transparent and Secure Intellectual
Property Management
K. K. Ramachandran, Deepa M, Rita Biswas, B.Ratnavalli, M. Z. M. Nomani,
and Abdullah Samdani
27. The impact of artificial intelligence in operational management
Trishu Sharma, Archana Rathore, Bikram Paul Singh Lehri, Mohit Tiwari,
Parashuram Shankar Vadar, Bhavna Garg
28. Improving Retail Industry Inventory Management Using Machine Learning
K. K. Ramachandran, Karthick K. K., Nalla Bala Kalyan, Mohit Tiwari, G. Satheesh Raju,
and Kote Ganesh
29. Investigating the Practical Application of Blockchain in Supply Chains for
Security and Transparency
A. Shameem, Saurabh Sharma, Monika Saxena, Shaik Rehana Banu, Sunita Arvind Rathod,
and Gabbeta Ramesh
30. The Applications of Artificial Intelligence in Public Sector Performance Management
R. V. Palanivel, Seema Bhakuni, Ashwani Kumar Gupta, Prashant Kalshetti, Rajesh Boorla,
and Kali Charan Modak
31. Energy Administration in Smart Buildings: Using Machine Learning
to Enhance It
M. Gajendiran, Priyanka Gupta, G.Rohini, K. Suresh Kumar, Neduri Prabhanjan,
and P. S. Ranjit
32. Studying the Application of Artificial Intelligence in 5G Wireless Networks
Ramapati Mishra, Shambhavi M. Shukla, Ramesh Mishra, Mohit Tiwari,
Naveen Chakravarthy Sattaru, and Tejashree Tejpal Moharekar
33. Integrating Machine Learning in Industrial IoT for Predictive Maintenance
R. Muruganandham, Nidhi Bhavsar, K. Murugesan, Ananda Ravuri, M. Sai Kumar,
and P. S. Ranjit
34. Masonry Infill’s Impact on Seismic Performance of RC Building
Animesh Jaiswal, Priyanka Singh, and S. Varadharajan
35. Utilisation of Rice Husk, Steel Fibres and Marble Waste Powder to Improve
the Mechanical Properties of Concrete
Animesh Jaiswal*
, Priyanka Singh, and S. Varadharajan
36. Studying the use of Blockchain for the Management of Secure and Effective
Electronic Health Records
B. T. Geetha, Dhruva Sreenivasa Chakravarthi, Mohd Aarif, Prasanta Chatterjee Biswas,
Chandrima Sinha Roy, and Tejashree Tejpal Moharekar
37. Artificial Intelligence and its Influence on Call Center Performance Management
Ajeet Singh, K. Sankar Ganesh, Mazharunnisa, Meeta Joshi, Rajesh Boorla,
and M. Shunmuga Sundaram
38. Impact of Machine Learning for Predictive Maintenance in the Area of Construction Industry
Radwan M. Batyha, Suneet Gupta, Ashokkumar P, Deepak Tulsiram Patil, Litan Debnat,
and P. S. Ranjit
39. Evaluating the Use of Blockchain in Property Management for Security
and Transparency
K. Selvasundaram, S. Jayaraman, Sudha Arogya Mary Chinthamani, K. Nethravathi,
Ahmad Y. A. Bani Ahmad, and M. Ravichand
40. Improving Service Management Using Machine Learning
Geetha Manoharan, K. Jayasakthi Velmurugan, Akkaraju Sailesh Chandra,
Ram subbiah, M. Ravichand, and Ankur Jain
41. Evaluating Blockchain’s Potential for Secure and Effective Supply Chain
Finance Management
Shelar Balu Ambadas, Shaik Rehana Banu, S Rani, P. Raman, Kumar Ratnesh,
and G. Hudson Arul Vethamanikam
42. Artificial Intelligence’s Influence on Risk Management
Trishu Sharma, Shraddha Verma, Harish Satyala, Tripti Tiwari, Melanie Lourens,
and Bhawani Gautam
43. The Application of AI in the Management of Documents
Sachin Kumar Tyagi, Amandeep Singh, Rashid Rafiq Shah, Susanta Kumar Satpathy,
Melanie Lourens, and Ch. Venkateswarlu
44. Improving Resource Management Using Machine Learning
Abhay Kolhe, Barinderjit Singh, Tulsidas Nakrani, Prasanta Chatterjee Biswas,
M. Sai Kumar, and G. Udaya Sri
45. Automotive Industry Use of Machine Learning for Maintenance Prediction
Praveena Devi Nagireddy, Vidhika Tiwari, Naveen Rana, Hari Prasadarao Pydi,
Lokesh Kalapala, and P. S. Ranjit
46. The Utility of AI in the Management of Cybersecurity
Gouri Sankar Nayak, Jitendra Kumar Chaudhary, Manvendra Singh, D.Ganesh,
G. Suni, and Abdullah Samdani
47. Improving Time Management Using Machine Learning
K. K. Ramachandran, Karthick K. K, V. SREETHARAN, Tripti Tiwari,
M. Ravichand, and Loganayagi S
48. Assessing Blockchain Potential for Secure and Effective Asset Management
Giovani Villegas-Ramirez, Edwin Hernan Ramirez, Amit Kansal, Jitendra Gowrabhathini,
Ahmad Y. A. Bani Ahma, and Rohit Dawar
49. The Applications of Artificial Intelligence and Their Performance on Quality
Management 243
S. Karthik, Vidhika Tiwari, Barinderjit Singh, Tripti Tiwari, T A Raja, and P. S. Ranjit
50. Energy Industry Predictive Maintenance Using Machine Learning
Md. Atheeq Sultan Ghori, G. Anitha, Praveena Devi Nagireddy, Ram subbiah,
R. Saravanan, and P. S. Ranjit
51. Predictive Maintenance Using Machine Learning in the Aviation Industry
Radwan M. Batyha, M. Hari Krishna, M. Sai Kumar, Tripti Tiwari, Deepti Mishra,
and P. S. Ranjit
52. Considering the Use of Blockchain for Supply Chain Authentication
Management in a Secure and Transparent Way
Akanksha Singh Fouzdar, Sunkara Yamini, Rita Biswas, Gaurav Jindal,
Ahmad Y. A. Bani Ahmad, and Rohit Dawar

Biography

Prof. (Dr.) Dalia Younis

is doctor in operations management from paramount university California. She is working as vice - Deen in AASTMT University Egypt, her research domains currently is machine learning applications in management and engineering.

Prof. (Dr.) Ilona Paweloszek

is a Doctor of Economics in the discipline of Management and Quality Sciences, a graduate of the Faculty of Management of the Czestochowa University of Technology, specializing in “development management and consulting.” She also completed pedagogical studies in training teachers of technical subjects. She has been a researcher and didactic employee at the Faculty of Management of the CUT since 1999, currently as an assistant professor at the Department of Management Information Systems. From 2002-2006, she researched mobile technologies in knowledge management, the usability of mobile solutions, and their integration with enterprise information systems. Her scientific and research interests focus on using semantic web technology, big data, and data mining to support managerial decisions. She is the author of several dozen publications, including three original monographs. She is a member of the Scientific Association of Business Informatics and the Polish Association for Production Management.

Prof. (Dr.) Mamta Chahar

is an Associate Professor at the NIET, NIMS University, Jaipur, India. She has done her Ph.D. from Indian Institute of Technology Delhi (IITD). She did her Postdoctoral research at University of Florida, USA and Touro University USA from 2009-2012. She has published 20 research papers in reputed International Journals and 6 Book chapters with international publishers. Her area of interest lies in Supramolecular Chemistry, Heterocyclic Chemistry, Peptide Chemistry, Medicinal Chemistry, Nanochemistry and Green Chemistry.

Prof. (Dr.) Narendra Kumar

is doctors of Computer Science & Engineering and Mathematics. He is working in NIMS Institute of Engineering and Technology, NIMS University Rajasthan, Jaipur. He has completed his M.Phil. (1994) with gold medal and Ph.D. (2003, 2012) from Dr. Bhimrao Ambedkar University, Agra. He has an academic experience for more than 28 years. He worked as Dean, Joint Director and Director in various universities. He has published more than two dozen books in the domain of mathematics, statistics and computer science and engineering, more than 70 research papers in national/ international journals. He has guided more than a dozen students for research degree. He has many patents in his credit and member of Board of studies in many universities. His key areas of research work are Mathematical modeling, Theory of relativity, Data science, Big data and brand management.

Prof. (Dr.) Nino Abesadze

is an academic Doctor of Economics. Graduated from Tbilisi State University 1987. In 1993, she defended her doctoral dissertation. In 1993-2006, she was a lecturer at Tbilisi State University, and since 2006 she is an associate professor at Ivane Javakhishvili Tbilisi State University, Faculty of Economics and Business, Department of Economic and Social Statistics. She is the author of 158 scientific papers, 15 Books and supporting manuals. Her field of research is tourism statistics, gender statistics, social statistics, business statistics. She is a participant of various grant projects, international conferences and seminars, she won a scholarship of the German Academic Exchange Service (DAAD) three times, she is a UN expert on price statistics, a member of the editorial board of various international journals. She is a member of the advisory board of the National Statistics Office of Georgia.

Prof. (Dr.) Preeti Narooka

is a professional with doctorate in computer science and engineering with 11 years of diverse experience in academics & industry. She has publications and patent in international/national area and also presented her work in various international conferences of good repute. She has taught different subjects in engineering and management institutes and also handled projects related to Enterprise risk services, Cloud computing, Python programming, Java programming, ERP system implementation, Big Data analytics in various organizations.