Time series classification methods
Speaker: Do Danh Cuong, PhD, Assistant Professor, College of Engineering and Computer Science Abstract: Time series is involving many aspects of our lives hence it is very important and challenging problem to classify them. Many algorithms have been proposed. This talk discuss on some of the most popular conventional methods and comparing with the recent popularity
Ethical dilemmas and ethical reasoning: some insight discussions
Speaker: Nguyen Hoang Long, PhD, Program Director, Nursing Program
Risk, Uncertainty, and the Uncertainty Mindset
Speaker: Vaughn Tan, Ph.D, Assistant Professor at University College London’s School of Management, in the Strategy and Entrepreneurship group. Vaughn received his PhD in Organizational Behaviour from Harvard University Abstract: “Risk” and “uncertainty” are usually conflated—but they are fundamentally different and have different implications for management research and practice. In particular, treating uncertain situations as
Hotel’s strategic responses to the Covid-19 pandemic and potential research collaboration
Speaker: Dung Le (Jenny), Assistant Professor, College of Business and Management, VinUniversity The Covid-19 pandemic has long-lasting impacts that require the hotel sector to revise, innovate and transform their businesses. However, the literature related to this area remains vastly under-developed. Based on 219 articles collected from global news media and an integrated crisis management framework,
Privacy Protection for Autonomous Vehicles
Speaker: Kok-Seng Wong, PhD, Associate Professor, College of Engineering and Computer Science Topic: In the awakening of cutting-edge technology, companies such as Apple, Waymo, and Tesla are racing to launch the industry’s first fully autonomous car. Besides the technical challenges (safeness and infrastructure), privacy and data protection have attracted the autonomous vehicle industry and researchers’ attention.
Immune System Measuring: a Study on Patients with Infections and Cancers
Speaker: Huynh Dinh Chien, PhD, Director, Pre-Clinical Medicine and Teaching Labs Topic: Some early results of the study will be shown with some discussion about the quality of the measurement.
Maximum Entropy Principle and out-of-Equilibrium Thermodynamics
Speaker: Thomas Oikonomou, PhD, Faculty, College of Engineering and Computer Science Topic: There have recently been various proposals of statistical entropic measures in order to create a theoretical thermodynamic foundation for complex out-of-equilibrium systems. Their (in)appropriateness is discussed and analyzed on the ground of the Maximum Entropy Principle. In this presentation, I will demonstrate a
AI, I need consoling!
Speaker: Kyunghwa Chung (Jenny), PhD, Assistant Professor of Marketing, College of Business and Management: Title: AI, I need consoling! The importance of AI is increasing in the service industry. Many firms are replacing their call center staff with AI chatbot services. But are consumers really satisfied with AI services? What do consumers really want when they
The Motherboard of Myriad Things: Zhuangzi, Xin, and the Internet
Speaker: Billy Wheeler, PhD, Assistant Professor of Philosophy, Science and Society Title: From a Daoist point of view what should the appropriate relationship be between man and machine? Although technology has influenced mankind for millennia, the exponential growth of digital technologies in recent years has transformed the way we live beyond recognition. In this talk I
I’m Doing as Well as I Can: Modeling People as Rational Finite Automata
Professor Joseph Halpern, Professor of Mathematics and Computer Science at Cornell University. (Full Bio: https://math.cornell.edu/joseph-halpern) Abstract: Several Nobel Prizes have been awarded for work showing that humans do not behave as maximum utility maximizers, as standard economic theory predicts. Yet they are “predictably irrational”: their deviations from rational behavior are quite systematic. Our goal is to