Dr Ang Sau Loong Email: [email protected] Dr Ang Sau Loong, PhD in Computational Intelligence, MSc, BSc, is currently the senior lecturer at the Department of Computing, . He has more than 10 years of experience in teaching and learning. He received his BSc and MSc in Mathematics and PhD in Computational Intelligence from Universiti Sains Malaysia (USM). His technical focuses are artificial neural networks, machine learning and deep learning. His research area covers Multi-layered Perceptron Network (MLP), Radial Basis Function (RBF), K-Means, K-Median, K Nearest Neighbours, Decision Tree, Naïve Bayes (NB), Tree Augmented Network (TAN), General Bayesian Networks (GBN) and Convolutional Neural Networks (CNN). Dr. Ang is a passionate researcher, and has been developing his skills in machine learning and artificial intelligence for 12 years. He is keen on doing research on clustering and classification in multi-dimensional datasets. He has published some articles in journals and conference proceedings which include the World Scientific and Engineering Academy and Society (WSEAS), Journal of Quality Measurement, International Conference on Deep Learning Technologies (ICDLT) and Analysis (JQMA) and Journal of Science and Technology, Pertanika. He is currently involved in internal research grant scheme for the project “Stock Price Prediction using an Improved Deep Learning Model. Qualifications PhD (Computational Intelligence) Universiti Sains Malaysia, 2010-2019 Research Title: Bayesian Networks with Greedy Backward Elimination in Feature Selection for Data Classification. Master of Science (Mathematics) Universiti Sains Malaysia, 2015-2008 Research Title: A Proposed Method for Selecting the Clustering Algorithm in Radial Basis Function. Bachelor of Sciences (Mathematics) Universiti Sains Malaysia, 2012-2015 Research & Publications Year Title 2017 Nikalus, S. S. L., S. L. Ang, E. K. Sim and P. L. Ooi (2017). Predictive Analytics for Online Purchase Improvement. Proceedings of the 2017 International Conference on Deep Learning Technologies, pp. 56-59 https://dl.acm.org/doi/abs/10.1145/3094243.3094252 2016 S. L. Ang, H. C Ong and H. C Low (2016). Classification using the General Bayesian Network. Pertanika Journal of Science and Technology, 24 (1), 205-211 https://web.archive.org/web/20180520101708id_/ 2008 S. L. Ang, H. C Ong and H. C Low (2008). Criterion in Selecting the Clustering Algorithm in Radial Basis Functional Link Nets. WSEAS Transactions on Systems, 7 (11), 1290-1299 S. L. Ang, H. C Ong and H. C Low (2008). Determining the Preprocessing Clustering Algorithm in Radial Basis Function Neural Network. Journal of Quality Measurement and Analysis, 4 (2), 113-120 Research Grant / Consultancy Project 2020 RESEARCH GRANT Title: Stock Price Prediction using an Improved Deep Learning Model Duration: June 2021 – June 2022 Sponsors/Grant: Internal research grant scheme (RM10,000) Academic, Industry and Ministry Appointments 2021 Journal Reviewer Journal of Information and Communication Technology Journal Reviewer International Conference on Communication and Computational Technologies Supervision Masters Dissertation: Intelligence-Based Algorithm To Generate Focused Molecule Structure For Immunopathogenesis Allergy Drug (July 2019) (Main supervisor: Assoc. Prof. Dr. J. Joshua, co-supervisor: Dr. Ang Sau Loong) Tran Huu Ngoc Tran – Master in Computer Science , UOW Malaysia KDU Penang University College Awards and Recognitions Certified Human Resource Development Fund (HRDF) trainer, 2019 Facilitator of Asean Data Science Explorer (ADSE), UOW Malaysia KDU Penang University College, 2019 Facilitator of Holiday English & Computing Programme (HECP), UOW Malaysia KDU Penang University College, 2019 Best Master Thesis Award 2008 by Persatuan Sains Matematik Malaysia (consolation)