UMD Online Lectures

2022-06-15 | Event



Online Lecture-1.jpg (874 KB)

Lecture Schedule
No. Date (Hong Kong Time) Lecture Topic
1 21-Jul-2021 Development of canaries for Catastrophic failure prevention
2 04-Aug-2021 System Safety Verification and Validation For AI Systems
3 11-Aug-2021 Issues with Device Manufacturers Using Commercial-off-the-shelf Lithium-ion Batteries 
4 18-Aug-2021 Degradation Analysis and Capacity Fade Prediction of Lithium-Ion Batteries
5 01-Sep-2021 Creation of life cycle profile for product reliability assessment
6 15-Sep-2021 Functional safety improvement through expanded diagnostic coverage
7 29-Sep-2021 Forecasting Maintenance: PHM Business Case Analysis
8 13-Oct-2021 Methods to ensure the reliability of sensors and the integrity of data produced by sensors
9 27-Oct-2021 Reliability and Failure Analysis for Electronics
10 03-Nov-2021 Application of prognostics in qualification
11 10-Nov-2021 Ensemble methods for individualized fault diagnosis
12 17-Nov-2021 How to achieve target safety integrity level (SIL) using PHM
13 24-Nov-2021 Conjugate-stress sensors for anomaly detection in structural health monitoring
14 01-Dec-2021 Reliability of Systems and Components After Storage: Management of Storage Process
15 08-Dec-2021 Role of Reliability Physics Modeling in Improving Diagnostic Coverage
16 15-Dec-2021 Improving Functional Safety and its Estimation using PHM for meeting SIL Targets
17 22-Dec-2021 Corrosion and Electro-Chemical Migration Prognostic Sensors
18 05-Jan-2022 Component reliability assessment based on modeling and testing
19 19-Jan-2022 Simulation-Based Modeling for Prognostics
20 16-Feb-2022 Digital twins for reducing testing and qualification needed for safety assurance: Is the microelectronics industry ready ?
21 23-Feb-2022 The difficulty in duplicating field anomalies during laboratory post-mortems: A reliability physics perspective
22 09-Mar-2022 Reliability and Safety Analysis using Digital Twins
23 23-Mar-2022 Non-destructive methods of failure analysis
24 06-Apr-2022 Interpretability of Machine Learning Algorithms and Ensemble Learning Methods
25 20-Apr-2022 Product reliability validation for varying life cycle profile
26 04-May-2022 Prognostics-Based Qualification for Product Reliability Demonstration
27 01-Jun-2022 Potential of Augmenting Simulation-Based Component Reliability Assessment with Data-Driven Tools
28 15-Jun-2022 Fatigue Damage of Engineering Systems under Complex Vibration Environments




CAiRS InnoHK Launch Ceremony concludes with great success

The InnoHK Launch Ceremony was successfully held on 25 May 2022, marking a new milestone in the Hong Kong Special Administrative Region (HKSAR) Government's commitment to promoting Hong Kong's innovation and technology (I&T). As the flagship I&T initiative of the HKSAR Government, InnoHK aims to promote global research collaboration with a view to putting Hong Kong on the global advanced technology map.

2022-05-25 | News
Professor Jin-Guang Teng, President of PolyU visits CAiRS

Professor Jin-Guang Teng, President of PolyU visited CAiRS on 25 May 2022 (Wed). Accompanied by Professor Christopher Chao, Vice President (Research and Innovation), Professor Wing-tak Wong, Deputy President and Provost and Professor Larry Chow, Director of Research and Innovation of PolyU (currently he is Head(ABCT) & Professor of PolyU), Professor Teng visited the main office and Research Lab of CAiRS in Hong Kong Science Park (HKSTP) to explore how CAiRS’ research in safety & reliability by using AI and advanced technologies. Ir Professor Winco Yung, Executive Director and Centre Director of CAiRS introduced the mission and vision, research works to guest at the visit.

2022-05-25 | News
[Technical Seminar] AI-based Reliability & Safety - Transforming Smart Manufacturing and Smart City with Applications

“AI-based Reliability & Safety - Transforming Smart Manufacturing and Smart City with Applications” will bring together Technology gurus & Professors to share about the technology advancements and impacts on business related to reliability and safety.

2022-05-19 | Event
[Press Release] PolyU and University of Maryland from the US, jointly established the Centre for Advances in Reliability and Safety (CAiRS)

Combining AI and innovative technologies to improve product safety and system reliability

2021-12-29 | News
© Centre for Advances in Reliability and Safety.