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2022
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MOOC
Population ageing is a global phenomenon profoundly affecting the well-being of communities. Disciplines such as Social Sciences, Design, and Engineering offer unique, insightful innovations for ageing societies. Along with providing solutions catering to their professional niche, these disciplines achieve creative and practical innovations through interdisciplinary collaboration. This course intends to explore and examine the process of incubating innovations in these three disciplines and help the learners to appreciate the synergy created when working toward innovations by adopting an interdisciplinary approach.
- Subjects:
- Social Sciences
- Keywords:
- Older people -- Government policy Older people -- Services for Technology older people Ageing
- Resource Type:
- MOOC
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Video
This presentation will discuss the future of global universities within the evolving context of current international education systems. It will begin with an overview of the challenges posed to modern day universities by the breadth and diversity of international further education curricular between the ages of 16 and 18 and the accessibility of world leading universities to international students, in general. Having established potential global trends in further education, the implications for global universities and higher education will be discussed within the context of both teaching and research
Event Date: 17/05/2022
Speaker: Prof. David Cardwell (University of Cambridge)
Moderator: Prof. Christoper Chao (Hong Kong Polytechnic University)
Panel members: Prof. Wong Kwok-yin (Hong Kong Polytechnic University), Prof. Andrew Cohen (Hong Kong University of Science and Technology)
Hosted by: PolyU Academy for Interdisciplinary Research
- Keywords:
- International education Universities colleges -- Administration Education Higher
- Resource Type:
- Video
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Video
Using UC Berkeley as an exemplar, Prof. Koshland gave us a distinguished lecture on ‘Lighting the Way with Interdisciplinary Research since 1868’. One of the hallmarks of UC Berkeley has always been engagement of its faculty and students in research and education that expand in cross disciplines, joining on multiple approaches to address major challenges facing the world today, which is also what we are seeking to do at PAIR of PolyU. Moreover, Prof. Koshland shared with us the ways in which individuals and institutions can engage in interdisciplinary and multi-disciplinary research and education and how they can be creatively intertwined.
Event Date: 22/4/2022
Speaker: Prof. Catherine P. Koshland (University of California, Berkeley)
Moderator: Prof. Christopher Chao (Hong Kong Polytechnic University)
Panel members: Prof. Xiang-dong Li, Prof. Yuguo Li (Hong Kong Polytechnic University)
Hosted by: PolyU Academy for Interdisciplinary Research
- Keywords:
- Interdisciplinary research Interdisciplinary approach in education
- Resource Type:
- Video
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Video
An online lecture on the topic of "Beidou Navigation Satellite System and Our Daily Lives".This lecture of “Science World: Exploring Space to Benefit Mankind” Education Programme in the 2021/22 school year for secondary students, which aims to cultivate the interest of local youth in space science and elevate their enthusiasm for participating in the development of space technology.
- Subjects:
- Industrial and Systems Engineering and Aeronautical and Aviation Engineering
- Keywords:
- Global Positioning System
- Resource Type:
- Video
-
Video
An online lecture on the topic of "What is Microgravity? Discovering Interesting Phenomena in Microgravity".This lecture of “Science World: Exploring Space to Benefit Mankind” Education Programme in the 2021/22 school year for secondary students, which aims to cultivate the interest of local youth in space science and elevate their enthusiasm for participating in the development of space technology.
- Subjects:
- Physics and Aeronautical and Aviation Engineering
- Keywords:
- Gravity Reduced gravity environments
- Resource Type:
- Video
-
Video
An online lecture on the topic of "Bone and Joint Health on Earth and in Space".This lecture of “Science World: Exploring Space to Benefit Mankind” Education Programme in the 2021/22 school year for secondary students, which aims to cultivate the interest of local youth in space science and elevate their enthusiasm for participating in the development of space technology.
- Subjects:
- Biomedical Engineering
- Keywords:
- Joints -- Physiology Space flight -- Physiological effect Bones -- Physiology
- Resource Type:
- Video
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Video
PolyU AAE students guide you through the flight procedures of an A320 Flight Stimulator.
- Subjects:
- Aeronautical and Aviation Engineering
- Keywords:
- Flight training -- Simulation methods Flight simulators
- Resource Type:
- Video
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Others
A portfolio for ITC3089E showing how to present the theme and fabric
- Course related:
- ITC3089E Woven Fabric Design Project
- Subjects:
- Textiles
- Keywords:
- Weaving Textile fabrics
- Resource Type:
- Others
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Video
Machine learning can deliver unprecedented performance. Its application domain has expanded into safety-critical cyber-physical systems such as UAVs and self-driver cars. However, the safety assurance of vehicular control has two conditions: 1) an analytical model of system behaviors such as provable stability, and 2) the software safety certification process (e.g., DO 178C) requires that the software be simple enough so that software safety can be validated by a combination of model checking and near exhaustive testing. Although ML software, as is, does not meet these two safety requirements, the real-time physics model supervised ML architecture holds the promise to 1) meet the two safety requirements and 2) enable ML software to safely improve control performance and safely learn from its experience in real-time. This talk will review the structure of the proposed architecture and some methods to embed physics into ML-enabled CPS control.
Event Date: 12/05/2022
Speaker: Prof. Lui Sha (University of Illinois Urbana-Champaign)
Hosted by: Graduate School
- Subjects:
- Aeronautical and Aviation Engineering and Computing
- Keywords:
- Machine learning Vehicles Remotely piloted Computer software -- Reliability Drone aircraft
- Resource Type:
- Video
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Video
We introduce a Dimension-Reduced Second-Order Method (DRSOM) for convex and nonconvex (unconstrained) optimization. Under a trust-region-like framework, our method preserves the convergence of the second-order method while using only Hessian-vector products in two directions. Moreover; the computational overhead remains comparable to the first-order such as the gradient descent method. We show that the method has a local super-linear convergence and a global convergence rate of 0(∈-3/2) to satisfy the first-order and second-order conditions under a commonly used approximated Hessian assumption. We further show that this assumption can be removed if we perform one step of the Krylov subspace method at the end of the algorithm, which makes DRSOM the first first-order-type algorithm to achieve this complexity bound. The applicability and performance of DRSOM are exhibited by various computational experiments in logistic regression, L2-Lp minimization, sensor network localization, neural network training, and policy optimization in reinforcement learning. For neural networks, our preliminary implementation seems to gain computational advantages in terms of training accuracy and iteration complexity over state-of-the-art first-order methods including SGD and ADAM. For policy optimization, our experiments show that DRSOM compares favorably with popular policy gradient methods in terms of the effectiveness and robustness.
Event date: 19/09/2022
Speaker: Prof. Yinyu Ye (Stanford University)
Hosted by: Department of Applied Mathematics
- Subjects:
- Mathematics and Statistics
- Keywords:
- Convex programming Nonconvex programming Mathematical optimization
- Resource Type:
- Video
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