Chun-Kit Ngan

Worcester Polytechnic Institute United States of America

Dr. Chun-Kit Ngan is an Associate 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 35 articles in various books, journals, and conferences. He received the Best Student Paper Honorable Mention Award, the Best Paper Award, and the Best Student Paper Award at the 2024, 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 (1) the Senior Personnel of the funded 2024-2026 NSF REU Site: Applied Artificial Intelligence for Advanced Applications and the Co-PI of the funded 2019-2023 NSF REU Site: Data Science for Healthy Communities in the Digital Age at WPI, (2) 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, (3) the PI of the AI-based approach for Detecting Anomalies Over Time-Based and Multimodal Vibration Data funded by Xtra Sensing Limited in 2023 and 2024, (4) the PI of the AI-based approach for Supporting Visually Impaired and Blind People funded by InnoSpire Technology Limited in Spring 2023, and (5) the PI of the Clinical Decision Support System (CDSS) for Pediatric Hypertension project in Spring 2022, the AI-based methodology for driving the medication instruction parsing (Meg Sig) in 2023, and the AI-based Approach for Cleaning Healthcare Data Record in 2024 funded by Availity, respectively. 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 Microsoft Corporation as a Visiting College Educator. He is also a 2023 and 2024 NSF Graduate Research Fellowship Program (GRFP) Reviewer in Artificial Intelligence, Machine Learning, and Natural Language Processing. Other DGSS-related research projects have been technically supported by Microsoft Corporation, Vodafone GmbH and John Snow Labs, Inc. Publications: (1) ResearchGate - and (2) Google Scholar -

Chun-Kit Ngan

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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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