Advancing Software Engineering Through AI, Federated Learning, and Large Language Models

• #1. Introduction to AI, ML, Federated Learning, and LLM in Software Engineering
• #2. A Comprehensive Review on Large Language Models: Exploring Applications, Challenges, Limitations, and Future Prospects
• #3. Software Engineering Strategies for Real-Time Personalization in E-Commerce Recommendations
• #4. Application of Machine Learning for Software Engineers
• #5. AI-Driven Software Development Lifecycle Optimization
• #6. Artificial Intelligence: Blockchain Integration for Modern Business
• #7. Machine Learning for Software Engineering: Models, Methods, and Applications
• #8. Industry-Specific Applications of AI and ML
• #9. Efficient Software Cost Estimation Using Artificial Intelligence: Incorporating Hybrid Fuzzy Modelling
• #10. Mobile App Testing and the AI Advantage in Mobile App Fine-Tuning: Elevate Your App With AI Testing
• #11. Reinforcement Learning in Bug Triaging: Addressing the Cold Start Problem and Beyond
• #12. Enhancing Software Testing Through Artificial Intelligence: A Comprehensive Review
• #13. Enhancing Spoken Text With Punctuation Prediction Using N-Gram Language Model in Intelligent Technical Text Processing Software
• #14. SecureStem Software for Optimized Stem Cell Banking Management
• #15. Technology-Based Scalable Business Models: Dimensions and Challenges of a New Populist Business Model
• #16. Test Data Generation for Branch Coverage in Software Structural Testing Based on TLBO
• #17. The Position of Digital Society, Healthcare 5.0, and Consumer 5.0 in the Era of Industry 5.0
• #18. Green Software Engineering Development Paradigm: An Approach to a Sustainable Renewable Energy Future
• #19. Artificial Intelligence-Internet of Things Integration for Smart Marketing: Challenges and Opportunities
• #20. Machine Learning-Based Sentiment Analysis of Twitter Using Logistic Regression

Avinash Kumar Sharma currently working as Associate Professor, Department of Computer Science & Engineering, Sharda School of Engineering & Technology (SSET), Sharda University, Greater Noida. Dr. Avinash Kumar Sharma have completed Ph.D from Uttarakhand Technical University, Dehradun (A State Govt. University) in Cloud Computing. His research areas are Cloud Computing, Machine Learning, Smart Agriculture, Artificial Intelligence. He has more than 18 years of teaching experience. He has published about 40 research articles in national / international conferences, journals, and book chapters. Dr. Avinash Kumar Sharma edited 04 books with IGI Global, 01 book with Wiley and 01 authored book with BPB Publication. He has also published 05 patents including 01 design patent.

Nitin Chanderwal is currently working as an Associate Professor Educator-Full Time in the Department of Electrical and Computer Engineering at University of Cincinnati. In the past I have worked as Associate Professor-Full Time of Information Systems and Analytics at IIM Shillong, Meghalaya, INDIA. During his tenure at IIM Shillong he also served as Chairperson for the Areas: {(Information Systems and Analytics) & (IT Services and Website Committee)}. During 2017-2018, He has worked as Professor Educator in the Department of EECS at University of Cincinnati, OH and during 2010-2011 as First Tier Bank Professor in the Peter Kiewit Institute at University of Nebraska at Omaha, NE, USA. In July 2001, he received B.Engg. in Computer Science & Engineering [Hons.] from Dr. B.R. Ambedkar University, Agra and M.Engg. in Software Engineering from Thapar University, erstwhile Thapar Institute of Engineering and Technology (Deemed University), Patiala, Punjab, INDIA in March 2003. In September 2008, he received Ph.D. in Computer Science & Engineering from Jaypee University of Information Technology, INDIA and University of Florida (UF), Gainesville, FL, USA under student exchange program, specifically he has completed 12 credits course work from UF. In May 2013, he received D.Sc. in Computer Science & Engineering from Uttarakhand Technical University, Dehradun, INDIA. I completed partial research work of D.Sc. at University of Nebraska at Omaha (UNO), NE, USA. He is a IBM certified engineer, a Life Member of IAENG, Senior Member of IEEE, ACM & IACSIT and Member of SIAM and ACIS and have published 200+ Research Papers in peer reviewed International Journals & Transactions, Book Chapters, Symposium, Conferences and Position. He has bagged more than 50 academic and research awards. My research interest includes Blockchain Technology, Cyber Physical Systems, Big Data Analytics, Social Networks especially Computer Mediated Communications & Flaming, Interconnection Networks & Architecture, Fault-tolerance & Reliability, NoCs, SoCs, and NiPs, Application of Stable Matching Problems, Stochastic Communication and Sensor Networks. He has received 2 Indian Patents and 1 Australian Patent during 2020-2021. he is also an Associate Editor of the International Journal of Parallel, Emergent and Distributed Systems, Taylor and Francis, UK and IEEE Access, IEEE, USA.

Amarjeet Prajapati is currently affiliated with the Jaypee Institute of Information Technology.

Pancham Singh is currently working as an Assistant Professor in the Department of Information Technology at AKGEC, Ghaziabad since 2007. Mr. Singh has over 18 years of teaching and one year of industry experiences. Mr. Singh received a B.Tech. Degree in Computer Science & Engineering from Dr. A.P.J. Abdul Kalam Technical University (formerly, UPTU), Lucknow, Uttar Pradesh, India in 2005; a Master Degree in Information Technology from RTU, Kota, Rajasthan, India in 2013 and a Pursuing PhD from Netaji Subhas University of Technology (NSUT), New Delhi, India since january 2023. In addition he has authored 3 books in Computer Science. He has presented and published more than 40 papers in international journals and conferences. He has reviewed more 50 papers for the International Journals and Conferences. In addition he has published 20 National and International Patents and 3 Design Grants. He was the session chair for the International Conference ICDT 2024. In addition, He did work as a time table In-charge since 2010 to 2023 for more than 13 yrs also media In-charge since 2015 to 2023 for more than 8 yrs in AKGEC. He did Flying Squad Duty assigned by AKTU as a In-charge and team member 4 times. He has attended more than 30 FDPs and did work as a In-charge and member for NBA and NACC in AKGEC. His research interests are Machine Learning, Deep Learning, Blockchain, Internet of Things, and Software Engineering.

Mrignainy Kansal is a Ph.D. researcher in Computer Science and Engineering at Netaji Subhas University of Technology (NSUT), New Delhi, India. She previously served as an Assistant Professor in the Department of Information Technology at Ajay Kumar Garg sEngineering College (AKGEC), Ghaziabad, where she contributed to teaching, research, and academic development. She brings over six years of academic experience in higher education. Her research lies at the intersection of software engineering and artificial intelligence, with a primary focus on software defect prediction, explainable AI, and intelligent data-driven systems. She has an extensive publication record, with contributions in reputed journals and conferences including Springer, IEEE, Wiley, and IGI Global. Her work emphasizes the development of robust, interpretable, and scalable solutions for real-world software quality challenges. She has also made notable contributions through edited volumes, book chapters, and active participation in international conferences, including serving as a Conference Program Committee Member. She is the recipient of multiple Best Paper Awards and holds several published and granted patents in emerging domains such as artificial intelligence, blockchain, and smart systems. She is an IEEE member and remains actively engaged in advancing research, innovation, and scholarly collaboration in intelligent software engineering.