Data Science and Emerging Technologies

Part I: Artificial Intelligence.- Extractive Text Summarization Using Syntactic Sub- Graph Models.- Analysis of Big Five Personality Factors to determine the Appropriate Type of Career using the C4.5 Algorithm.- Predicting Disaster Type from Social Media Imagery via Deep Neural Networks Directed by Visual Attention.- Dissemination Management for Official Statistics Using Artificial Intelligence-Based Media Monitoring.- Part II: Computational Vision.- A Naive but Effective Post-Processing Approach for Dark Channel Prior (DCP).- COVID-19 Face Mask Classification Using Deep Learning.- Gender Classification Using Transfer Learning and Fine-Tuning.- Multi-Language Recognition Translator by Using the Convolutional Neural Network (CNN) Algorithm and Optical Character Recognition (OCR).- Autonomous Driving Through Road Segmentation Based on Computer Vision Techniques.- Part III: Cybersecurity.- Phishing Attack Types and Mitigation: A Survey.- A Review of Privacy Protection Methods for Smart Homes Against Wireless Snooping Attack.- Development of Graph-Based Knowledge on Ransom-Ware Attacks Using Twitter Data.- Part IV: Big Data Analytics.- BigMDHealth: Supporting Multidimensional Big Data Management and Analytics over Big Healthcare Data via Effective and Efficient Multidimensional Aggregate Queries over Key-Value Stores (Prof Alredo's paper).- Design and Implementation of Data Warehouse Solution at Kumpulan Wang Persaraan (KWAP).- Consumer Behavior Prediction During Covid-19 Pandemic Conditions Using Sentiment Analytics.- Big Data Application on Prediction of HDD Manufacturing Process Performance.- Visualising Economic Situation Through Malaysia Economic Recovery Dashboard (MERD).- Part V: Machine/Deep Learning.- Lung Nodules Classification Using Convolutional Neural Network with Transfer Learning.- Plant Growth Phase Classification Using Deep Neural Network.- The Implementation of Genetic Algorithm-Ensemble Learning on QSAR Study of Diacylglycerol

Professor Yap Bee Wah is currently Director of Research and Consultancy Centre of UNITAR International University, Malaysia.  She was formerly Faculty Member of the Centre of Statistical and Decision Science Studies at Faculty of Computer and Mathematical Sciences (FSKM), Universiti Teknologi MARA. She was also Head of Advanced Analytics Engineering Centre (AAEC), a research center of excellence in Faculty of Computer and Mathematical Sciences (2016-2020). In February 2021, AAEC became a Centre of Excellence in UiTM with the name Institute of Big Data Analytics and Artificial Intelligence (IBDAAI). She has supervised 15 Ph.D. students. She is Active Researcher and has published papers in ISI journals such as Expert Systems with Applications Journal of Statistical Computation and Simulation, Communications in Statistics-Computation and Simulation and Journal of Clinical and Translational Endocrinology, and also in Scopus-indexed journals. She was Conference Chair of the International Conference on Soft Computing in Data Science (2015-2019 and 2021). She was also one of the editors of the SCDS conference proceedings published in Springer CCIS series. She was Guest Editor of Applied Soft Computing (Q1) journal and Pertanika Journal of Social Science and Humanities Special Issue (2016). She is also one of the editors of the book titled "Supervised and Unsupervised Learning for Data Science" published by Springer Nature Switzerland AG 2020. This book is in collaboration with Prof. Michael W. Berry, University of Tennessee, USA, and Prof. Azlinah Mohamed, Universiti Teknologi MARA.

 

Professor Michael W. Berry is Co-author and Editor of fifteen books covering topics in scientific computing, information retrieval, text/data mining, and data science. His most recent book entitled "Supervised and Unsupervised Learning for Data Science" was published in 2019 by Springer International Publishing.  He is Co-editor of the Soft Computing in