Intelligent Data Engineering and Analytics

 Automated Flower Species Identification by using Deep convolution neural network.- Information Retrieval for Cloud Forensics.- Machine Translation System Combination with Enhanced Alignments using Word Embeddings.- Geometry Based Machining Feature Retrieval with Inductive Transfer Learning.- Grapheme to phoneme conversion for Malayalam Speech Using encoder-decoder Architecture.- Usage of Block Chain Technology in e-Voting System using Private Block Chain.- Bengali Visual Genome: A Multimodal Dataset for Machine Translation and Image Captioning.- Deep Learning based Mosquito Species detection using Wingbeats frequencies.- Developments in Capsule Network Architecture: A Review.- Computer aided segmentation of polyps using Mask R-CNN and approach to reduce false positives.- Image GPT with Super Resolution.

Suresh Chandra Satapathy is a Ph.D. in Computer Science, currently working as Professor and at KIIT (Deemed to be University), Bhubaneshwar, Odisha, India. He held the position of the National Chairman Div-V (Educational and Research) of Computer Society of India and is also senior Member of IEEE. He has been instrumental in organizing more than 20 International Conferences in India as Organizing Chair and edited more than 30 book volumes from Springer LNCS, AISC, LNEE, and SIST Series as Corresponding Editor. He is quite active in research in the areas of swarm intelligence, machine learning, and data mining. He has developed a new optimization algorithm known as Social Group Optimization (SGO) published in Springer Journal. He has delivered number of keynote address and tutorials in his areas of expertise in various events in India. He has more than 100 publications in reputed journals and conf proceedings. Dr. Suresh is in Editorial board of IGI Global, Inderscience, Growing Science journals, and also Guest Editor for Arabian Journal of Science and Engg published by Springer.
Dr. Jinshan Tang is currently Professor in the College of Computing at Michigan Technological University. He received his Ph.D. degree from Beijing University of Posts and Telecommunications and postdoctoral training at Harvard Medical School and the National Institute of Health. Dr. Tang's research covers wide areas related to image processing and imaging technologies. His specific research interests include machine learning, biomedical image analysis and biomedical imaging, biometrics, computer vision, and image understanding. He has obtained more than three million US dollars grants as a PI or Co-PI. He has published more than 110 refereed journals and conference papers. He has also served as Committee Member at various international conferences. He is senior Member of IEEE and Co-Chair of the Technical Committee on Information Assurance and IntelligentMultimedia-Mobile Communications,