This book contains selected papers presented at Third International Conference on Recent Advancements in Artificial Intelligence ( ICRAAI-2025), organized by the Department of Computer Science & Engineering, Faculty of Computer Science & Engineering, Poornima University, Jaipur, Rajasthan, India, during 21-22 February 2025. The topics covered in the book are the cutting-edge research involved in Artificial Intelligence, Machine Learning, Deep Learning, NLP, and Data Science.

Presents recent research in artificial intelligence Discusses the outcomes of ICRAAI 2025, held in Jaipur, India Serves as a reference resource for researchers and practitioners in academia and industry

Autorentext

Dr. Richi Nayak is a professor of computer science at the Queensland University of Technology (QUT), Brisbane Australia. Her current research interests include machine learning, text mining, personalization, automation, and social network analysis. She was awarded the 2016 Women in Technology (WiT) Infotech Outstanding Achievement Award for exemplary service to the field of data analytics. With a proven track record, she has successfully overseen and delivered over 30 industry-related projects, attracting a total income of over $15 million. She has an extensive portfolio of more than 250 refereed publications, attracting over 5037 citations, with an h-index of 37 and an i10-index of 136 as of March 2025. She received the Masters in Engineering degree from the Indian Institute of Technology, Roorkee, India, and the Ph.D. degree in computer science from the Queensland University of Technology.

Dr. Namita Mittal is working as Associate Professor and Head of Department of Computer Science and Engineering at MNIT Jaipur, Rajasthan, India. She is Recipient of the Career Award for Young Teachers (CAYT) by AICTE. Her current research areas are data science, information retrieval, generative AI, and natural language processing. She is Senior Member of IEEE and ACM, Member of CCICI, and SCRS. She has conducted various FDPs/conferences/workshops like Ph.D. Colloquium FIRE 2017, GIAN Course on Advances on Data and Web Analytics 2017 and AI and Information Retrieval 2022, International Workshop on Text analytics and Retrieval (WI 2018), WIRe (FIRE Track 2020), and FDP on Generative AI and Use Cases attended by 500+ participants. One Ph.D. scholar received a prestigious PMRF scholarship. She has published more than 100 refereed publications, attracting over 3654 citations, with an h-index of 29 and an i10-index of 64 as of April 2025.

Dr. Ajay Khunteta is an accomplished professional with a rich background in academia and research, spanning over 22 years. Currently serving as a professor and dean in the Faculty of Computer Science & Engineering at Poornima University in Jaipur, Rajasthan, India, he has made significant contributions to the field. His expertise lies in the areas of AI, cloud computing, data security, and distributed systems. With a passion for guiding and mentoring students, Dr. Ajay Khunteta has successfully supervised 46 M.Tech. dissertations and 7 Ph.D. theses on various topics related to AI and cloud technology. He has authored and co-authored over 115 research papers in esteemed international journals and conferences. He has completed many research and MODROB project grants from prestigious organizations such as AICTE and DST. He is also the member of the editorial board of several journals and served as a reviewer in a wide range of international journals.

Dr. Manoj Kumar completed his Ph.D. from Northcap University and M.Sc. (information security and digital forensics) from Technological University Dublin, Ireland, in 2013. Dr. Kumar has more than 14.5+ years of research, teaching, and corporate experience. Currently, Dr. Kumar holds the position of Associate Professor at the University of Wollongong in Dubai. In addition, he serves as Research Cluster Head for Network and Cyber Security @UOWD. Dr. Kumar is listed among the top 2% of computer scientists worldwide. He published over 265 research articles in international refereed journals and conferences. He gave 12 patents, delivered five research-funded projects, and released three authored and more than fifteen edited books. In addition, he acts as Associate Editor, Guest Editor, and Editorial Board Member for various scientific journals. Dr. Kumar is Member of numerous renowned professional bodies, including IEEE, ACM, IAENG, ISTS, and UACEE.

Inhalt

A Framework For Explainable Process Mining (Xpm): Steps Toward Adopting AI Transparency Principles Applied To Process Mining.- A Hybrid Approach For Real-Time Object Detection On the Road In Autonomous Driving.- A Lightweight Intrusion Detection System For IoT Based On Machine Learning Techniques.- A Review and Analysis of Medical Image Reconstruction Techniques Using Machine Learning.- A Secure Framework For Source Routing In Autonomous Systems.- Advanced Deep Learning Model For Voice Support For Inarticulate Individuals.