Chun-Kit Ngan

Worcester Polytechnic Institute

Dr. Chun-Kit Ngan is an Assistant Teaching Professor of Data Science Program at Worcester Polytechnic Institute (WPI) since January 2018. Before joining WPI, he was an Assistant Professor in the Division of Engineering and Information Science at the Pennsylvania State University-Great Valley (PSU-GV). His research interests are Decision Guidance and Support Systems (DGSS), including Decision Optimization Models, Computational Algorithms, Machine/Deep Learning, Data Analytics and Visualization, Natural Language Processing, Computer Vision, and related DGSS Applications, to guide domain-specific decision makers to make better decisions and provide them with actionable recommendations. He has published over 30 articles in various books, journals, and conferences. He received the Best Paper Award and the Best Student Paper Award at the 2013 and 2011 International Conference on Enterprise Information Systems respectively. His co-authored paper was selected as the Best Presentation Award in the Information Theory and Technology Session at the 2019 International Conference on Information System and Data Mining. He was the recipient of the 2013-2014 Seed Money Research Grant and 2015-2016 Early Career Award for Research and Scholarship Excellence at PSU-GV. He is also the Co-PI of the funded 2019-2023 NSF REU Site Data Science for Healthy Communities in the Digital Age at WPI, the Co-PI of Developing a Prognostic Model to Predict Inter-individual Trajectory of Functional Outcomes in Adolescents and Young Adults with Cancer funded by Hong Kong Research Grants Council in 2022-2023, and the PI of the Clinical Decision Support System (CDSS) for Pediatric Hypertension project funded by Diameter Health, Inc in Spring 2022. The CDSS project team has won the first runner-up prize of the Student Poster Contest at the 2022 New England HIMSS Annual Spring Conference. In Summer 2022, he joined the Software Engineering team as a Visiting College Educator at Microsoft Corporation. Other DGSS-related research projects have been technically supported by Vodafone GmbH and John Snow Labs, Inc. Publications: (1) ResearchGate - and (2) Google Scholar -

1books edited

Latest work with IntechOpen by Chun-Kit Ngan

This book aims to provide readers with the current information, developments, and trends in a time series analysis, particularly in time series data patterns, technical methodologies, and real-world applications. This book is divided into three sections and each section includes two chapters. Section 1 discusses analyzing multivariate and fuzzy time series. Section 2 focuses on developing deep neural networks for time series forecasting and classification. Section 3 describes solving real-world domain-specific problems using time series techniques. The concepts and techniques contained in this book cover topics in time series research that will be of interest to students, researchers, practitioners, and professors in time series forecasting and classification, data analytics, machine learning, deep learning, and artificial intelligence.

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