UMD Online Lectures
2022-06-15 | Event
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 |
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 | NewsProfessor 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“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 | EventCombining AI and innovative technologies to improve product safety and system reliability
2021-12-29 | News