The book presents the proceedings of the EAI International Conference on Computational Intelligence and Generative AI (ICCIGAI 2024), which took place March 8-9, 2024, in Guntur, India. The book explores the exciting and rapidly evolving field of artificial intelligence, with a specific focus on computational intelligence and generative models. The conference introduces cutting-edge techniques and methodologies that enable machines to simulate human-like intelligence and creativity. Readers can find a comprehensive overview of state-of-the-art AI methods, including neural networks, evolutionary algorithms, deep learning, and generative adversarial networks (GANs). The conference explores real-world applications in a range of areas, including computer vision, natural language processing, and the creation of original content.
Prof. Debnath Bhattacharyya is a Full-Time Professor at KL University, India, and Visiting Professor at University of Johannesburg, South Africa. He worked as an Invited International Professor at Lincoln University, KL, Malaysia (2017-2021). He was a former Foreign Professor, Department of Multimedia Engineering, Hannam University, South Korea. He received his Ph.D. (Tech., Computer Science and Engineering) from the University of Calcutta, Kolkata. He also received M.Tech (Computer Science and Engineering) from West Bengal University of Technology, Kolkata, India. Professor Bhattacharyya is a Senior Member of ACM, ACM SIGKDD, IEEE Senior Member (Since 2010), Life Member of CSI, India, Senior Member of IACSIT, Singapore and Senior Member of IAENG, Hong Kong. He was selected as ACM Distinguished Speaker (2017-20). He is the Editor of Many International Journals (indexed by Scopus, SCIE, and Web of Science). He visited various Foreign Countries for presenting his research work and as International Professor as well. He Published 272 Scopus Indexed Papers and 149 Web of Science Papers so far. His Research interests include Security Engineering, Pattern Recognition, Biometric Authentication, Multimodal Biometric Authentication, Data Mining and Image Processing. In addition, he is serving as a reviewer of various International Journals of Springer, Elsevier, IEEE, etc., and International Conferences. He also published 6 text books for Computer Science and Engineering, so far.
Dr. Rajib Ghosh is currently working as an Assistant Professor Grade I in Computer Science and Engineering department at National Institute of Technology (NIT) Patna, Patna, India. He has more than 21 years of experiences of teaching in different engineering colleges. He completed his Ph.D. (Computer Science and Engineering) degree from National Institute of Technology (NIT) Patna, Patna, India. He also holds the M.Tech. degree in Information Technology and B.E. degree in Computer Science and Engineering. His broader research domains are Pattern Recognition, Machine Learning and Computer Vision. His research areas of interest are document analysis & recognition, object detection, object tracking, human movement tracking, video surveillance, etc. His Ph.D. work explored pattern recognition methods using machine learning techniques for recognizing online handwritten text of different Indic scripts such as Bengali, Devanagari, Telugu, Tamil, etc. He has over 40 research publications in various reputed SCI-indexed as well as SCOPUS-indexed international journals and conferences of repute. He is also the reviewer of several reputed journals indexed in SCI, SCIE and SCOPUS. He is one of the General Chairs in one international conference. He has also chaired and hosted several special sessions at several international conferences. He is a member of IEEE, life member of IUPRAI, life member of ISTE, and nominee member of CSI. He has delivered expert talks and guest lectures at various prestigious institutes.
